The General Education Assessment Working Group
Final Report and Recommendations
September 26, 2005
Working Group Members
Sandy Grunwald, Working Group Chair Summer 2004 & 2005, Faculty in Chemistry
Mike Abler, Member Summer 2004 & 2005, Faculty in Biology
Gwen Achenreiner, Member Summer 2004 & 2005, Faculty in Marketing
Eric Kraemer, Member Summer 2005, Faculty in Philosophy
David Reineke, Member Summer 2005, Statistical Consulting Center
Bruce Riley, Member Summer 2005, Faculty in Mathematics
Rachelle Toupence, Member Summer 2004, Faculty in Recreation and Therapeutic Management
Brad Seebach, Member Summer 2004 & 2005, Faculty in Biology
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REPORT CONTENTS
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PAGE |
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Executive Summary
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2-4 |
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Appendix A - Global Perspective Assessment Instrument |
5-17 |
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Section 1: Background |
5 |
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Section 2: Results & Student Demographics |
5-10 |
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Section 3: Assessment Instrument / Questions / Demographic Questions
|
10-17 |
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Appendix B - Genetically Modified Foods Assessment Instrument |
|
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Section 1: Background |
18 |
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Section 2: Results |
18-22 |
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Section 3: Statistical Analysis & Conclusions |
22 |
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Section 4: Student Demographics |
23-24 |
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Section 5: Assessment Instrument / Questions / Demographic Questions
|
25-33 |
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Appendix C - Medicine Without Doctors (HIV) Assessment Instrument |
34-51 |
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Section 1: Background |
34 |
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Section 2: Results |
35-40 |
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Section 3: Statistical Analysis & Conclusions |
40-41 |
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Section 4: Student Demographics |
41-43 |
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Section 5: Assessment Instrument / Questions / Demographic Questions |
44-51 |
Introduction
The General Education Assessment Working Group was appointed by the General Education Committee to develop, pilot test, and implement assessment instruments which assess student learning at UW-La Crosse in the broad areas of critical thinking, global perspective and science knowledge.
Working Group Activities and Background Information
In Summer 2004 the group developed two different assessment instruments designed to assess student learning using the outcomes generated by the General Education Committee (4/28/03). These outcomes were based in the broad categories of analytic and problem-solving skills; quantitative reasoning skills; content knowledge in science; and global perspective. Both assessment instruments were pilot tested in Fall 2004 to approximately 30 students, revised, and rubrics were developed to score the student responses. In Spring 2005 these instruments, along with an assessment instrument previously developed by the General Education Assessment Committee focused exclusively on global perspective, were administered to a larger cohort of UWL students with varying demographics. Finally in Summer 2005 the working group reviewers scored the student responses. These scores were statistically analyzed to determine any correlation between score and student demographic. A complete report on each instrument, including correlation results, can be found in Appendix A, Appendix B and Appendix C.
Along with these assessment instruments another working group developed an instrument focused on assessing student learning in written communication, responsible citizenship and integration of knowledge. The results of that assessment instrument are not included in this report.
Summary of Results
A. Global Perspective
All three assessment instruments that were administered in Spring 2005 assessed student’s global perspective, specifically the student’s ability to “explain the rationales for cultural behaviors different from one’s own”. The mean score for Instrument #1 was 2.12 (competent) on a scale of 1 (naďve) to 4 (sophisticated). The mean score for Instrument #2 was 0.67 (scale 0 to 2) and for Instrument #3 was 1.08 (scale 0 to 2). It was hypothesized that the student’s ability would increase with completion of courses having global awareness as a focus, increased age, more years in college, and participation in a study abroad experience (see Table 1 summary).
The expected correlation was observed between student ability and number of global awareness courses in 1 of 3 assessment instruments. Though no statistical difference was observed in the other 2 assessment instruments the data did show a trend in these 2 instruments whereby the mean student score increased with greater number of global awareness courses.
No statistical difference was observed between global perspective student ability and participation in a study abroad experience; however, in 2 of 3 instruments the data showed a slight trend of a higher score for students having some global experience versus students who had no global experience.
The expected correlation was observed between student ability and age in 1 of 3 assessment instruments. Though no statistical difference was observed in the other 2 assessment instruments the data showed a trend in 1 of the instruments whereby the mean student score increased with age.
The expected correlation was observed between student ability and year in college in 1 of 3 assessment instruments. Though no statistical difference was observed in the other 2 assessment instruments the data showed a trend in 1 of the instruments whereby the mean student score increased with year in college.
The students were also asked at the end of the demographic information “Have you had any experiences which you felt were helpful in interpreting the story/article which you read and answered questions on? If so, please describe them below.” There was a correlation between a Yes response and increased student ability in 2 of 3 instruments. Though no statistical difference was observed in the other assessment instrument the data showed a trend whereby the mean student score was higher for students answering Yes to this question. Further analysis on what type of experiences were reported and student ability needs to be undertaken.
Furthermore the student’s ability was correlated with “what college is your academic major”. Students associated with the College of Business Administration showed a statistically significant lower mean global perspective score in 2 of 3 instruments. Though no statistical difference was observed in the other instrument the data showed a trend whereby the mean student score was lower for students in CBA than the other colleges. However, upon further analysis it was determined that of the students in CBA who were administered the instruments, they were unproportionately freshmen/sophomore level vs. junior/senior level. This discrepancy in student demographics likely accounts for the results observed.
Table 1: Summary of Correlations/Trends with Global Perspective Student Ability
|
|
|
Correlation |
Trend |
|
|
Instrument #1 |
N |
Y |
|
# Courses |
Instrument #2 |
N |
Y |
|
|
Instrument #3 |
Y |
Y |
|
|
Instrument #1 |
N |
Y |
|
Study Abroad |
Instrument #2 |
N |
Y |
|
|
Instrument #3 |
N |
N |
|
|
Instrument #1 |
N |
Y |
|
Age |
Instrument #2 |
Y |
Y |
|
|
Instrument #3 |
N |
N |
|
|
Instrument #1 |
N |
N |
|
Yr in College |
Instrument #2 |
Y |
Y |
|
|
Instrument #3 |
N |
Y |
|
|
Instrument #1 |
Y |
Y |
|
Other Experience |
Instrument #2 |
Y |
Y |
|
|
Instrument #3 |
N |
Y |
*Instrument #1 is the Global Perspective Assessment Instrument summarized in Appendix A; Instrument #2 is the Genetically Modified Foods Instrument summarized in Appendix B; Instrument #3 is the Medicine Without Doctors/HIV Instrument summarized in Appendix C
B. Critical Thinking – Analytic Reasoning
Two of the three assessment instruments that were administered in Spring 2005 assessed the critical thinking ability of students specifically the student’s ability to “formulate and support ideas with sufficient reasoning, evidence and persuasive appeals, and proper attribution”. The mean overall student score was consistent between the 2 assessment instruments at 0.98 and 0.99 (scale 0 to 2). It was hypothesized that there would be a correlation between student’s ability and increased age and more years in college. Also correlation of the student’s ability with “what college is your academic major” was analyzed.
No statistical correlation was observed between student ability and increased age; however, in 1 instrument the data showed a slight trend of a higher score for students from age 18 to age 22.
No statistical correlation was observed between student ability and year in college. Though no statistical difference was observed in the 2 assessment instruments, the data did show a trend in these 2 instruments whereby the mean student score was higher for seniors than for freshmen.
Furthermore there were inconsistent correlations between student ability and college of their academic major between the 2 assessment instruments. Thus no conclusions can be made regarding this correlation.
Critical Thinking – Quantitative Reasoning (interpreting tables and graphs)
Two of the three assessment instruments that were administered in Spring 2005 assessed the critical thinking ability of students specifically the student’s ability to “use mathematical and logical methods to solve problems” in the form of interpreting tables and graphs. In one of the instruments students were asked a question whereby they had to interpret a basic table to obtain the correct data (Q5, Appendix C). In the other instrument students were asked a question whereby they had to interpret a basic pie chart (Q7, Appendix B). Students who were successful in this basic quantitative reasoning were 87% and 85%, respectively, showing consistency between the two assessment instruments. There was no statistical correlation between student ability and any of the student demographic information.
In one of the instruments students were asked a question whereby they had to interpret a more complex bar graph (Q6, Appendix B). Only 40% of the students were successful in their ability to perform this task, leaving 60% unsuccessful. Again there was no statistical correlation between student ability and any of the student demographic information.
C. Science Content Knowledge
Two of the three assessment instruments that were administered in Spring 2005 assessed the science content knowledge of students. This was done by asking questions that addressed science knowledge that should be acquired through in awareness of issues addressed in the popular press. There were also a few that addressed science content specific to the main focus of the assessment instrument. The mean student score for the various science questions varied dramatically between the different questions. For example the mean score was 1.73 on a 0 to 2 point scale for a question that asked how the AIDS virus could be acquired and the mean score was 0.83 on a 0 to 2 point scale for a question that asked if antibiotics should be used to treat HIV/AIDS. Both of these questions are deemed as important science knowledge needed to understand issues that are addressed in the popular press.
There was not an overall consistent correlation of mean score and student demographics for the various science content questions; however, in several cases the following was seen:
(see Appendix B and C for details on statistically relevant correlations)
Brief Recommendations.
The Working Group recommends:
1. implementation of a process for administering assessment instruments to lower and upper level students, besides asking instructors to volunteer a class period.
2. exploration of methods to increase student ability in interpreting data in graphs/tables that are beyond basic level.
3. that the General Education Committee communicates the student learning outcome findings pertaining to global perspective to the UWL International Task Force.
4. further analysis of the correlation between global perspective learning and “other experience” be undertaken to determine what experiences enhanced student’s global perspective ability.
5. that the General Education Committee use the results of these assessments instruments to provide benchmarks of student learning and watch for changes over time.
Appendix A
Analysis of Global Perspective Assessment Instrument
Section 1: Background – In Fall 2003 the General Education Committee established an Assessment Sub-Committee whose goal was to develop, pilot test and implement an assessment instrument to measure student learning in the area of global perspective, specifically if students are “able to explain the rationales for cultural behaviors different from one’s own”. This has been identified as a student learning outcome for the general education program (approved outcome 9/12/05 Gen Ed Committee). Members of this committee were Terry Beck (consultant), John Betton, Sandy Grunwald, and Jean Hindson. This assessment instrument consists of a reading from the book "Ponds of Kalambayi" by Mike Tidwell (1990) pub Lyons and Burford and the student responses to 4 questions pertaining to that reading (see Global Perspective Instrument at the end of Appendix A).
The assessment instrument was piloted in Fall 2003 to 17 modern language students. The student’s responses were scored using a rubric that defined sophisticated, knowledgeable, competent or naďve responses (see end of Appendix A). Before scoring, the reviewers standardized their responses by scoring and reviewing these scores to determine that all reviewers used consistent methods of analysis. Every student response was scored by at least 2 reviewers.
After this initial pilot the Assessment Sub-Committee deemed this global perspective assessment instrument worthy of being used for further assessment purposes; therefore, in the Spring of 2004 the instrument was administered to 67 students enrolled in upper level management courses. The student’s responses were scored by 2 reviewers from the Assessment Sub-Committee and their scores was analyzed by the UWL Statistical Consulting Center versus various student demographics (age, study abroad experience, number of courses with a global awareness emphasis, and outside experience). The results of this assessment can be found in the Results section of Appendix A.
In Spring 2005 this assessment instrument was administered on a larger scale to UWL students. The students varied in age, year in college, college of their major, study abroad experience etc… Again each student response was scored by 2 reviewers (Sandy Grunwald, chemistry and Bradley Seebach, biology) who were part of the General Education Assessment Summer Working Group. They used the scoring matrix described above to evaluate student responses. Results and analysis of this more extensive assessment can be found in the Results section of Appendix A.
Section 2: Results & Demographics– The following shows the results of the student responses to the global perspective assessment instrument. Note that the results will be divided into 3 trials for the 3 different times that the instrument was administered.
Trial 1 - Initial pilot group, 17 modern language students, Fall 2003
Mean Score – 2.14 which is slightly higher than competent
Trial 2 – 67 upper level management students, Spring 2004
Mean Score – 2.01 which is rated as competent
For the raw data see Sandra Grunwald, Chemistry or David Reineke, Mathematics
Analysis of results by David Reineke, Statistical Consulting Center:
Correlation coefficients were obtained for the relationship between the average global perspective score and age group (r = 0.203, P = 0.123) as well as for average global perspective score and the number of courses with international or other cultural content (r = 0.069, P = 0.598). Neither relationship was found to be statistically significant at the 5% level of significance. Furthermore, due to the low number of cases where study abroad was indicated, no statistical relationship could be established with the average global perspective score.
However, a significant difference in average global perspective score was found between students who have had experiences with other cultures and students who have not. Using a two-sample t-test, it was determined that the average global perspective score for students who have had experiences with other cultures is significantly higher than for students who have not (P = 0.001). In fact, with 95% confidence we can say that the average global perspective score is 0.42 to 1.47 units higher for such students. The sample mean of the average score for the 11 students who have had experiences with other cultures is 2.7, roughly translated as “knowledgeable,” whereas the sample mean for the 49 students who did not indicate having some other cultural experience is 1.8, or “competent.” (Note: cases where the global perspective scores differed by more than 1 were excluded – however, the results would not have differed if they had been).
Trial 3 – 189 students with varying demographics, Spring 2005
Mean Score – 2.13 which is slightly higher than competent
For the raw data see Sandra Grunwald, Chemistry or David Reineke, Mathematics
Statistical Analysis and Conclusions by David Reineke, UWL Statistical Consulting Center:
Analysis of variance was used to determine if significant differences exist among the mean Global Perspective scores for age, year in college, college of academic major, and number of courses involving global awareness while t-tests for independent samples were used for the dichotomous variables of time spent studying abroad and whether or not the student had other helpful experiences. Although the amount of time spent studying abroad had five categories, the small number of students in the study who have studied abroad made it necessary to collapse the variable into two categories: “None” and “Some.”
In every case, the normality and equal variance assumptions were examined, and where appropriate, the nonparametric Kruskal-Wallis test or Mann-Whitney U-test was used instead of the analysis of variance or t-test, respectively. A level of significance of 0.05 was used for each test.
Only two significant differences in mean Global Perspective score emerged. Students in the College of Liberal Studies had a significantly greater mean Global Perspective score than those in the College of Business Administration (P = 0.010) and students who reported having an experience that was helpful in interpreting the story or article had a significantly greater mean Global Perspective score (P = 0.013) than those who did not report such an experience. Demographic and descriptive statistics are given in the tables that follow.
The following tables contain descriptive statistics for the Global Perspective score according to each of the demographic variables: age, year in college, college of academic major, time spent studying abroad, number of courses with global awareness, and whether or not the student had other helpful experiences. Asterisks with accompanying footnotes indicate significant differences.
Note: Student Score 1 = naďve, 2 = competent, 3=knowledgeable, 4=sophisticated
|
Age |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
18 |
19 |
2.0921 |
.87087 |
1.00 |
4.00 |
|
19 |
46 |
2.1467 |
.68023 |
1.00 |
3.50 |
|
20 |
34 |
1.8603 |
.61911 |
1.00 |
3.25 |
|
21 |
26 |
2.2212 |
.60550 |
1.00 |
3.50 |
|
22 |
34 |
2.1618 |
.77088 |
1.00 |
3.50 |
|
over 22 |
30 |
2.3333 |
.72912 |
1.00 |
3.75 |
|
Year |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
Freshman |
53 |
2.1934 |
.76999 |
1.00 |
4.00 |
|
Sophomore |
43 |
1.9593 |
.62424 |
1.00 |
3.50 |
|
Junior |
22 |
2.0568 |
.73165 |
1.00 |
3.50 |
|
Senior |
70 |
2.1929 |
.68521 |
1.00 |
3.50 |
|
College |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
SAH |
66 |
2.1136 |
.66677 |
1.00 |
4.00 |
|
CLS* |
51 |
2.3235 |
.75547 |
1.00 |
3.50 |
|
CBA* |
32 |
1.7656 |
.59885 |
1.00 |
3.00 |
|
CEESHR |
27 |
2.1759 |
.68576 |
1.00 |
3.75 |
|
Undeclared |
11 |
2.2955 |
.77313 |
1.00 |
3.25 |
*The mean Global Perspective score for CLS is significantly greater than for CBA (P = 0.010)
|
Study Abroad |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
None |
172 |
2.1279 |
.70994 |
1.00 |
4.00 |
|
Under 3 months |
10 |
2.0250 |
.70168 |
1.25 |
3.00 |
|
1 semester |
6 |
2.4167 |
.90370 |
1.00 |
3.50 |
|
More than a year |
1 |
2.2500 |
. |
2.25 |
2.25 |
|
Study Abroad |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
None |
172 |
2.1279 |
.70994 |
1.00 |
4.00 |
|
Some |
17 |
2.1765 |
.75397 |
1.00 |
3.50 |
|
No. Courses w/Global Awareness |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
None |
18 |
1.7778 |
.55498 |
1.00 |
2.75 |
|
1 |
42 |
2.0417 |
.71123 |
1.00 |
3.25 |
|
2 |
60 |
2.1833 |
.72467 |
1.00 |
4.00 |
|
3 |
37 |
2.0743 |
.69688 |
1.00 |
3.50 |
|
4 |
11 |
2.4318 |
.47554 |
1.50 |
3.25 |
|
>4 |
18 |
2.3611 |
.73376 |
1.00 |
3.50 |
|
Helpful Experience |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
No* |
117 |
2.0321 |
.68192 |
1.00 |
3.50 |
|
Yes* |
72 |
2.2951 |
.73438 |
1.00 |
4.00 |
*Those who answered “Yes” had a significantly greater mean Global Perspective score (P = 0.013)
|
|
Frequency |
Percent |
|
18 |
19 |
10.1 |
|
19 |
46 |
24.3 |
|
20 |
34 |
18.0 |
|
21 |
26 |
13.8 |
|
22 |
34 |
18.0 |
|
over 22 |
30 |
15.9 |
|
Total |
189 |
100.0 |
|
|
Frequency |
Percent |
|
Freshman |
53 |
28.2 |
|
Sophomore |
43 |
22.9 |
|
Junior |
22 |
11.7 |
|
Senior |
70 |
37.2 |
|
Total |
188 |
100.0 |
|
|
Frequency |
Percent |
|
SAH |
66 |
35.3 |
|
CLS |
51 |
27.3 |
|
CBA |
32 |
17.1 |
|
CEESHR |
27 |
14.4 |
|
Undeclared |
11 |
5.9 |
|
Total |
187 |
100.0 |
|
|
Frequency |
Percent |
|
None |
172 |
91.0 |
|
Under 3 months |
10 |
5.3 |
|
1 semester |
6 |
3.2 |
|
More than a year |
1 |
.5 |
|
Total |
189 |
100.0 |
|
|
Frequency |
Percent |
|
None |
18 |
9.6 |
|
1 |
43 |
22.9 |
|
2 |
61 |
32.4 |
|
3 |
37 |
19.7 |
|
4 |
11 |
5.9 |
|
>4 |
18 |
9.6 |
|
Total |
188 |
100.0 |
|
|
Frequency |
Percent |
|
No |
117 |
61.9 |
|
Yes |
72 |
38.1 |
|
Total |
189 |
100.0 |
|
|
|
College |
Total |
|||||
|
|
|
SAH |
CLS |
CBA |
CEESHR |
Undeclared |
|
|
|
Year |
Fresh. |
Count |
19 |
12 |
16 |
0 |
6 |
53 |
|
|
|
% within College |
28.8% |
23.5% |
50.0% |
.0% |
54.5% |
28.5% |
|
|
Soph. |
Count |
10 |
11 |
9 |
7 |
5 |
42 |
|
|
|
% within College |
15.2% |
21.6% |
28.1% |
26.9% |
45.5% |
22.6% |
|
|
Junior |
Count |
7 |
8 |
5 |
2 |
0 |
22 |
|
|
|
% within College |
10.6% |
15.7% |
15.6% |
7.7% |
.0% |
11.8% |
|
|
Senior |
Count |
30 |
20 |
2 |
17 |
0 |
69 |
|
|
|
% within College |
45.5% |
39.2% |
6.3% |
65.4% |
.0% |
37.1% |
|
Total |
Count |
66 |
51 |
32 |
26 |
11 |
186 |
|
|
|
% within College |
100.0% |
100.0% |
100.0% |
100.0% |
100.0% |
100.0% |
|
Section 3: Global Perspective Assessment Instrument/Questions/Demographic Questions
Please read the following description of an event and then answer the short questions which follow. As your answers will reflect the quality of students at UW-L, it is important that you answer the questions to the BEST of YOUR ABILITY. You are allowed 55 minutes to complete the exercise so take your time and do your best work. Thanks.
Extract from the book "Ponds of Kalambayi" by Mike Tidwell (1990) pub Lyons and Burford.
“MY WIFE HAS LEFT ME, AND I’VE GOT TO HARVEST MY POND,” Chief Ilunga said. It was two o'clock on a Sunday afternoon and he was breathing hard. He had just walked the five miles from his village of Ntita Kalambayi to my house in Lulenga. He had walked quickly, stopping only once to drink tshitshampa with friends along the way. Now his speech was excited, full of the fast cadence of personal crisis. "My wife has left me, and I've got to harvest my pond. I've got to harvest it tomorrow and use the money to get her back.”
It was a dowry dispute. Ilunga’s father-in-law claimed Ilunga still owed thirty dollars in bridewealth from the marriage to his daughter five years earlier. To emphasize the point, he had ordered his daughter home to their village thirty miles away. She had obeyed, taking with her all the children. Now Ilunga was humiliated and alone, with no one to cook his food or wash his clothes. He needed money fast.
The development was something of a blow to me, too. Never had I expected the first fruits of my extension work to go toward something as inglorious as roping in a runaway wife. But that's what the Fates had snipped off. I told Ilunga I would be at his pond the next morning to help with the harvest.
Ilunga’s wife had picked a bad time to leave him. His pond was in its fifth month of production, one month short of the gestation period considered best for harvesting. Still, after only five months, things looked good. Ilunga had fed his fish like a man possessed, and as far as we could tell a considerable bounty waited below.
Part of the pond’s success was due to a strategy I had developed not long after arriving in Kalambayi. The plan was simple: get Ilunga and the other farmers to feed their fish with the same intensity they fed me fufu, and they would surely raise some of the biggest tilapia ever recorded.
“Imagine a fish is like an important visitor who has traveled over mountains and through rivers to see you,” I had told Ilunga after he finished his pond. “If, when you set a meal down in front of that visitor, he finishes all the food in two or three minutes and then stares back at you from across the table, how do you feel?”
He grimaced. “Terrible,” he said. “The visitor is still hungry. He should always be given more food than he can eat. He shouldn't be able to finish it. That's how you know he's full.”
“Exactly,” I said.
Exactly. Every day for five months, Ilunga dumped more food into his pond than his fish could possibly eat. He covered the surface with sweet potato leaves and manioc leaves and papaya leaves, and the fish poked and chewed and started to grow.
Helping things out was an unexpected gift. Two months after we stocked the pond, an official of the United Nations Children’s Fund in Mbuji Mayi donated two sturdy wheelbarrows to the Kalambayi fish project. The wheelbarrows were blue with “UNICEF” painted neatly on the sides in white. When I called all the farmers together to present the tools, the shiny steel basins and rubber tires inspired a great amount of whistling and head-shaking. I felt as if I had just delivered two mint-condition Mack trucks. The men ran their hands along the rims and grew dizzy contemplating the wealth the tools might bring. Using the village of Kabala as a dividing point, the farmers split up into two committees representing the upper and lower stretches of the Lubilashi. After establishing rules for their use, the men took possession of the wheelbarrows.
Ilunga, as much as anyone, parlayed the UNICEF largess into bigger fish. He used the upper Kalambayi wheelbarrow to gather leaves and termites for fish food. To fill his pond’s stick compost bins he went most Thursdays to the weekly outdoor market in Ntita Konyukua. There, he used the wheelbarrow to collect manioc peels and fruit rinds and the other rubbish village markets leave scattered about the ground. These materials rot quickly in pond water, stimulating a plankton growth essential for intensive tilapia culture. But to get the goods, Ilunga had to swallow his pride. He had to hunt through the crowd of marketeers and bend over and compete with hungry dogs and goats and chickens along the ground. It was something of a spectacle. Ilunga was thirty years old and the chief of a village – and he was shooing away goats to get at banana peels in the marketplace dirt. People started to talk. After a while, one of Ilunga’s bothers tried to dissuade him of the practice. “You're embarrassing yourself,” he said. “The pond isn't worth this.”
But Ilunga didn't listen, just as he hadn't listened back in the beginning when I told him he was digging a pond so large it might kill him. He kept going to the market. Stares and whispers didn't stop him.
Most amazing was the fact that Ilunga was doing all this work in addition to tending his fields every day like everyone else. He was squeezing two jobs from the daily fuel of protein-deficient fufu.
Eventually it started to show. I walked to his house one afternoon and found him outside, fast asleep in the coddling embrace of the UNICEF wheelbarrow. He had lined the basin with a burlap sack and reposed himself, his arms and legs drooping over the edges. From the trail fifty feet away, I watched. The imagery was potent, almost unbearable with its themes of hope and struggle and want all bound up in that exhausted face, those closed eyes, those dirty black limbs hanging down to the ground. God, how I had set Ilunga’s soul ablaze with my talk of rising out of poverty, of beating back the worst aspects of village life with a few fish ponds. He had listened to me and followed every line of advice and now he lay knocked out in the hold of a donated wheelbarrow. Deciding it would be criminal to wake him, I walked away, praying like hell that all the promises I had made were true.
And now we would find out. It was time for the denouement: the harvest. Five months had passed, Ilunga’s wife had left him and we would discover what had been happening all this time under the pond’s surface. I was anxious because, in a way, owning a fish pond is like owning a lottery ticket. Unlike corn, which you can watch as it grows, or, say, chickens, which you can weigh as they get big, there is no way to positively assess the progress of a pond until you harvest it. The fish are under water, so you can't count them or get a good look at them. You just have to work and work and wait. You hang on to your lottery ticket and wait for the drawing, never sure what number will come up until you drain the pond.
Ilunga and I had a pretty good idea his fish were big, of course. God knows they had been given enough to eat. We also had seen lots of offspring along the pond’s edges. But the water was now so well fertilized and pea-green with plankton that neither of us had seen a fish in nearly two months. (Ilunga had refused to eat any fish in order to maximize the harvest.) We knew the tilapia were there, but how many exactly? How big? And what about the birds? How many fish had the thieving kingfishers taken? We would soon know all the answers. An unacknowledged, icy fear ran through both of us as we agreed that Sunday afternoon at my house to harvest his pond the next day.
It was just past 6 a.m. when I arrived for the harvest. Ilunga and his brother Tshibamba were calling and waving their arms as I moved down the valley slope toward the pond. “Michel, Michel. Come quickly. Hurry, Michel.” I had driven my motorcycle to Ilunga’s house in the predawn dark, using my headlight along the way. Now, as I finished the last of the twenty-minute walk to the valley floor, the sky was breaking blue and a crazy montage of pink and silver clouds lay woven on the horizon. The morning beauty was shattered, however, by the cries of the men waiting for me at the pond. They were yelling something I didn't want to hear. It was something my mind refused to accept.
“There are no fish, Michel,” they said. “Hurry. The fish aren't here.”
I reached the pond and cast an incredulous stare into the water. They were right. There were no fish. The men had spent most of the night digging out a vertical section of the lower dike and slowly draining the water until there now remained only a muddy, five-by-five-foot pool in the lower-most corner of the pond. The pool was about six inches deep. And it was empty.
Tshibamba was screaming, running along the dikes and pointing an accusing finger at the pond bottom. “Where are they?” he demanded of the pond. “Where are the fish?”
Ilunga was past the yelling stage. He gazed at the shallow pool, his face sleepy and creased, and said nothing. He was a wreck; as forlorn and defeated as the pond scarecrow ten feet to his left with its straw limbs akimbo and head splotched with bird excrement.
“Wait a minute,” I said to the men, suddenly spotting something at one end of the pool. “Look!”
I pointed to a fan-shaped object sticking out of the water and looking a lot like a dorsal fin. We all looked. It moved. A fish. Before we could celebrate, other fins appeared throughout the pool, dozens of them, then hundreds. The pond water, which had continued all the while to flow out through a net placed over the cut dike, had suddenly reached a depth lower than the vertical height of the bottom-hugging fish. The fish had been hiding under the muddy water and were revealed only at the last moment and all at the same time, a phenomenon of harvesting we eventually became nervously accustomed to in Kalambayi. Ilunga's fish – big, medium and small – had been corralled by the dropping water into the small pool where they waited like scaly cattle. They looked stupid and restless. “Yeah, now what?” they seemed to ask.
Ilunga showed them. He threw off his shirt and made a quick banzai charge into the congested fray, his arms set to scoop up hard-won booty. There ensued an explosion of jumping fish and flying mud, and Ilunga absorbed the rat-tat-tat of a thousand mud dots from his feet to his face. By the time his hands reached the pool, the fish had scattered everywhere into the surrounding mud like thinking atoms suddenly released from some central, binding force. Ilunga raised his empty hands. He looked up at us – his face covered with mud dots, his feet sinking into the pond-bottom gook – and flashed a wide smile. The harvest had begun.
“The small ones,” I yelled, hurriedly discarding my shirt and shoes. “Get the small fish first to restock with.”
I jumped into the pond and, like Ilunga, was immediately pelted with mud. Two more of Ilunga’s brothers had arrived by then, and together, five strong, we gave battle with the tenacity of warriors waging jihad. We chased the flapping, flopping, fleeing fish through the pond-bottom sludge. When we caught them, we stepped on them and throttled them and herded them into tin buckets. Ilunga took charge of capturing and counting three hundred thumb-sized stocking fish and putting them in a small holding pond. The rest of us collected the other fish, segregating the original stockers, which were now hand-sized, from the multitudinous offspring. The work was dirty and sloppy and hypnotically fun.
So engrossed was I in the harvest, in fact, that I barely noticed the tops of the pond dikes were growing crowded with onlookers. By the time we finished capturing all the fish, people had surrounded the square pond bottom like spectators around a boxing ring. A quarter of the men, women, and children in the village had come to see the harvest. I was impressed by their show of support for Ilunga’s work.
Ilunga ordered the crowd to clear back from a spot on the upper dike. Filthy like pigs, we carried the fish out of the pond in four large buckets and set them down at the clearing. We rinsed them off with canal water and began weighing them with a small handheld scale I had brought. The total came to forty-four kilos. It was an excellent harvest. After only five months, Ilunga had coaxed three hundred tilapia fingerlings into forty-four kilos of valuable protein. It was enough to bring home his wife and then some.
Whistling and laughing, I grabbed Ilunga by the shoulders and shook him and told him what a great harvest it was. I had expected a lot of fish, but not this many. It was marvelous, I told him, simply marvelous. He smiled and agreed. But he wasn’t nearly as happy as he should have been. Something was wrong. His eyes telegraphed fear.
Tshibamba made the first move.
“Go get some leaves from that banana tree over there,” he told a child standing on the pond bank.
When the child returned, Tshibamba scooped about a dozen fish onto one of the leaves and wrapped them up.
“I'm going to take these up to the house,” he said to Ilunga. “It’s been a while since the children have had fresh fish.”
“Yes, yes,” Ilunga said. “Take some.”
“I’ll have a little, too,” said Kazadi, Ilunga’s youngest brother, reaching into a bucket.
“Go ahead. Take what you need.”
Then a third brother stepped forward. Then a fourth. Then other villagers. My stomach sank.
It was suddenly all clear – the crowd, the well-wishers, the brothers of Ilunga who had never even seen the pond until that morning. They had come to divide up the harvest. A cultural imperative was playing itself out. It was time for Ilunga to share his wealth. He stood by the buckets and started placing fish in the hands of every relative and friend who stepped forth. It would have driven Rayleen McGarity stark raving mad. He was just giving the harvest away.
There was no trace of anger on his face as he did it, either. Nor was there a suggestion of duty or obligation. It was less precise than that. This was Ilunga’s village and he had a sudden surplus and so he shared it. It just happened. It was automatic. But the disappointment was there, weighing down on the corners of his eyes. He needed the fish. Getting his wife back had depended on them.
Caked in mud, I sat on the grassy bank and watched an entire bucket of tilapia disappear. Fury and frustration crashed through me with the force of a booming waterfall. All that work. All my visits. All the digging and battling kingfishers. All for what? For this? For a twenty-minute free-for-all giveaway? Didn't these people realize the ponds were different? Ilunga had worked hard to produce this harvest. He had tried to get ahead. Where were they when he dug his pond? Where were they when he heaved and hoed and dislodged from the earth 4000 cubic feet of dirt?
I knew the answer. They had been laughing. They had been whispering among themselves that Ilunga was wasting his time, that moving so much dirt with a shovel was pure lunacy. And they 1aughed even harder when they saw him bending over to pick up fruit rinds in the marketplace in competition with goats and dogs. But they weren't laughing now. Ilunga had proved them wrong. He had raised more fish than any of them had seen in their lives, and now they were taking the spoils.
The fish continued to disappear and I began bursting with a desire to intervene. I wanted to ask Ilunga what the hell he was doing and to tell him to stop it. I wanted to turn over the bucket already emptied of fish and stand on it and shoo everyone away like I had shooed Mutoba Muenyi those first few times she came to my door. “Giving is virtuous and all that,” I wanted to tell the crowd. “But this is different. These are Ilunga’s fish. They’re his. Leave them alone. He needs them.”
But I said nothing. I summoned every ounce of self-restraint in my body and remained silent. This was something between Ilunga and his village. My job was to teach him how to raise fish. I had done my job. What he did with the fish afterward really was none of my business. Even so, I didn't have to watch. I went over to the canal and washed up. Ilunga was well into the second bucket when I told him I was leaving.
“Wait,” he said. “Here.”
He thrust into my hands a large bundle of fish.
Oh, no, I thought. Not me. I’m not going to be party to this gouging. I tried to hand the bundle back.
“But these fish are for you,” he said. “You’ve taught me how to raise fish, and this is to say thank you.”
“No, Ilunga. This is your harvest. You earned it. You keep it.”
He gave me a wounded look, as if I had just spit in his face, and suddenly I wanted to scream and kick and smash things. I couldn’t refuse his offer without devastating him. I took the fish and headed up the hill, feeling like a real parasite.
“Wait for me at the house,” he said as I walked away.
It was 8:30 when I reached the village and stretched out, dizzy with disappointment, on a reed mat next to Ilunga’s house. He arrived about thirty minutes later with his sister Ngala who had helped at the harvest. Both of their faces looked drained from the great hemorrhaging they had just gone through. Without even the benefit of loaves of bread, they had fed a mass of about fifty villagers, and now Ngala carried all that was left in one big tin basin. I estimated there were about twenty-five kilos. To my dismay, though, Ilunga wasn’t finished. He scooped out another couple of kilos to give to older relatives who hadn’t made it to the pond. Then he sent Ngala off to the market in Lulenga with roughly twenty-three kilos of fish, barely half the harvest total.
At the going market price of 100 zaires a kilo, Ilunga stood to make 2300 zaires ($23). It was far short of what he needed to get his wife back. Far short, in fact, of anything I could expect village men to accept as fair return for months of punishing shovel work and more months of maniacal feeding. The problem wasn't the technology. Ilunga had produced forty-four kilos of fish in one pond in five months. That was outstanding. The problem, rather, was generosity. It was a habit of sharing so entrenched in the culture that it made me look to the project’s future with foreboding. What incentive did men like Ilunga have to improve their lives – through fish culture or any other means – if so much of the gain immediately melted into a hundred empty hands? Why work harder? Why develop? Better just to farm enough to eat. Better to stay poor like all the rest.
After Ilunga’s sister left for the market, I couldn’t hold my tongue any longer. We were alone at his house.
“I can't believe you gave away all those fish, Ilunga. Why did you even bother digging a pond if all you were going to do with the harvest was give it away?”
He knew I was upset, and he didn’t want to talk about it.
“Why did you dig a pond?” I repeated.
“You know why,” he said. “To get more money. To help my family.”
“So how can you help your family if you give away half the fish?”
“But there’s still a lot left,” he said. “You act like I gave them all away.”
I suddenly realized he was about ten times less upset by what had happened than I was. My frustration doubled.
“What do you mean there’s still a lot left? There’s not enough to get your wife back, is there? You gave away too much for that. Your pond hasn't done you much good, and I guess I’ve wasted my time working with you.”
The last sentence really annoyed him.
“Look,” he said, “what could I have done? After I drained my pond I had hundreds and hundreds of fish. There were four buckets full. You saw them. If my brother comes and asks for ten fish, can I say no? For ten fish? That's crazy. I can't refuse.”
“No, it’s not crazy, Ilunga. You have six brothers and ten uncles and fifty cousins. And then there are all the other villagers. You’re right. Ten fish aren’t very many. But when you give ten to everyone you have little left for yourself.”
“So what would you have done?” he asked me. “Would you have refused fish to all those people?”
“Yes,” I said, and I meant it.
“You mean you would have taken all the fish and walked past all those people and children and gone up to the house and locked the door.”
“Don't say it like that,” I said. “You could have explained to them that the pond was your way of making money, that the harvest was for your wife.”
“They already know I need my wife,” he said. “And they know I’ll get her back somehow.”
“Yeah, how? You were counting on the harvest to do that, and now it’s over. You gave away too much, Ilunga. You can’t keep doing this. You can’t feed the whole village by yourself. It’s impossible. You have to feed your own children and take care of your own immediate family. Let your brothers worry about their families. Let them dig ponds if they want to. You’ve got to stop giving away your harvests.”
Thus spoke Michel, the agent of change, the man whose job it was to try to rewrite the society’s molecular code. Sharing fufu and produce and other possessions was one thing. With time, I had come around to the habit myself, seen its virtuosity. But the ponds were different, and I had assumed the farmers realized that. Raising fish was meant to creak surplus wealth; to carry the farmers and their immediate families to a level where they had more for themselves – better clothes, extra income. That was the incentive upon which the project was built. It was the whole reason I was there.
So when Ilunga harvested his pond that early morning and started giving away the fish, I wanted to retreat. I wanted to renounce my conversion to the local system and move back to the old impulse I had arrived with, the one that had me eating secret, solitary meals and guarding my things in the self-interested way prized by my own society.
“Stop the giving” – that was the real, the final, message I wanted to bring to Ilunga and the other fish farmers. Stop the giving and the community-oriented attitude and you can escape the worst ravages of poverty. Build a pond and make it yours. And when you harvest it, don’t give away the fish. Forget, for now, the bigger society. Forget the extended family. Step back and start thinking like self-enriching entrepreneurs, like good little capitalists.
But Ilunga didn’t fit the plan. Nor did any of the other farmers who harvested after him. “If my brother comes and asks for ten fish, can I say no?” he had asked. His logic was stronger than it seemed. Like everyone else in Kalambayi, Ilunga needed badly the help fish culture could provide. What he didn’t need, however, were lessons on how to stay alive. And that, I eventually grew to understand, was what all the sharing was really about. It was a survival strategy; an unwritten agreement by the group that no one would be allowed to fall off the societal boat no matter how low provisions ran on board. No matter how bad the roads became or how much the national economy constricted, sharing and mutual aide meant everyone in each village stayed afloat. If a beggar like Mutoba Muenyi came to your house in the predawn darkness, you gave her food. If you harvested a pond and fifty malnourished relatives showed up, you shared what you had. Then you made the most of what was left. If it was twenty-three dollars, that was okay. It was still a lot of money in a country where the average annual income is $170 and falling. It might not pay off a marriage debt, but $23 satisfied other basic needs.
In the end, despite my fears, sharing didn’t destroy the fish project. Farmers went on building and harvesting ponds, giving away twenty to fifty percent of their fish, and selling the rest to earn money for their wives and their children. It was a process I simply couldn’t change and eventually I stopped trying.
And perhaps it was just as well Ilunga and the others weren’t in a hurry to become the kind of producers I wanted them to be. They might develop along Western lines with time, but why push them? The local system worked. Everyone was taken care of. Everyone did stay afloat. Besides, there were already plenty of myopic, self-enriching producers in the world – entrepreneurs and businesses guided by the sole principle of increasing their own wealth above all else. So many were there in fact that the planetary boat, battered by breakneck production and consumption, was in ever-increasing danger of sinking, taking with it the ultimate extended family: the species. There seemed to be no survival strategy at work for the planet as a whole as there was for this small patch of Africa; no thread of broader community interest that ensured against total collapse. Indeed, sitting in my lamplit cotton warehouse at night, listening to growing reports of global environmental degradation over my shortwave radio, the thought occurred to me more than once that, in several important respects, Kalambayi needed far less instruction from the West than the other way around.
At the moment, however, no one needed anything as much as Ilunga needed his wife. He had given away nearly half his fish and now the opportunity had all but vanished. I stopped back by his house after the market closed in Lulenga and watched him count the money from the harvest two thousand zaires. Even less than I had thought. I reached into my pocket and pulled out all I had, two hundred zaires. l handed it to him. He was still short.
“What are you going to do?”
“I don't know,” he said. “I’ve got to think about it.”
Three days later, on my way to Tshipanzula, I pulled up to Ilunga’s house to see what solution he had come up with. I was surprised when he wasn’t there and his neighbors said he had gone to Baluba Shankadi, his wife’s tribe.
Another week went by before I saw Ilunga again. It was in the market in Ntita Konyukna and he was standing under a mimosa tree, gesturing and talking with two other fish farmers. As I made my way through the crowd of marketeers, getting closer, I saw Ilunga’s wife standing behind him, carrying their youngest child.
“How?” I asked when I reached him, shaking his hand, delighted by the sight of mother and child. “How did you do it?”
At first he didn’t answer. He talked instead about his pond, telling me he had returned the day before and now was trying to track down the UNICEF wheelbarrow to start feeding his fish again.
“But your wife,” I said. “How did you get her back?”
“Oh, yes, she’s back,” he said. “Well, I really don’t know how I did it. After you left my house that day I still needed eight hundred zaires. One of my brothers gave me a hundred, but it still wasn’t enough. I tried, but I couldn’t come up with the rest of the money so I decided to leave with what I had. I walked for two days and reached my wife’s village and handed the money to my father-in-law. He counted it and told me I was short. I told him I knew I was but that I didn’t have any more. Then I knew there was going to be a big argument.”
“Was there?”
“No. That’s the really strange part. He told me to sit down, and his wife brought out some fufu and we ate. Then it got dark and we went inside to sleep. I still hadn’t seen my wife. The next morning my father-in-law called me outside. Then he called my wife and my sons out from another house. We were all standing in the middle of the compound, wondering what to do. Then he just told us to leave. “That’s it?” I said. “It's over?” He told me yes, that I could go home. I didn't think I understood him correctly, so I asked him if he was sure he didn’t want any more money. “No, you’ve done enough,” he said. “Go back to your village.” I was afraid to say anything else. I put my wife and my sons in front of me and we started walking away before he could change his mind.”
Questions for Article
1. What is your reaction to Ilunga giving away his fish?
Scoring Rubric of Student Responses
Sophisticated – Provides complex and contextually based description of behavior that distinguishes between individual and reciprocal norms and provides rich descriptions of the different perspectives of the individuals in interpreting the narrative.
Knowledgeable – Recognizes that individuals from different cultures bring different cultural values to situations and is able to articulate this with appropriate examples. Recognizes that individuals’ accounts in narrative are influenced by their cultures.
Competent – Provides a description that recognizes that individuals have different perspectives on events described. Interprets events described in analytical manner.
Naďve – Demonstrates difficulty understanding behavior described and is unable to offer reasoned explanation of different perceptions: Interprets events solely from own cultural viewpoint.
Student Demographic Questions
To help us identify differences in student experiences, please answer the following questions:
1. What is your age?
a. 18
b. 19
c. 20
d. 21
e. 22
f. >22
2. What year are you in your college career?
3. In what college is your academic major?
4. If you have participated in a study abroad program or have lived outside the U.S, please indicate the period of time involved.
a. None
b. Under 3 months
c. 1 semester
d. 1 year
e. More than a year
5. How many courses have you taken which you feel involve “global awareness” as a focus?
a. None
b. 1
c. 2
d. 3
e. 4
f. >4
6. Have you had any experiences which you felt were helpful in interpreting the story/article which you read and answered questions on? If so, please describe them below.
Appendix B
Analysis of Genetically Modified Foods Assessment Instrument
Section 1 - Background – In Summer 2004 the General Education Assessment Summer Working Group consisting of Gwen Achenreiner, Marketing; Michael Abler, Biology; Sandy Grunwald, chemistry; and Rachelle Toupence; Rec Management developed as assessment instrument that would assess student learning in the broad topics of science content, critical thinking and global perspective. The assessment instrument consisted of a student dialogue followed by newspaper articles from the New York Times and from the Baltimore Sun which contained conflicting points of views in response to the same National Academy of Sciences report on the use of genetically engineered crops. The readings were followed by questions that the reviewers used to score student learning (see Section 5 below).
The assessment instrument was piloted in Fall 2004 to 35 rec management students. The student’s responses were scored using a rubric developed by the reviewers and the instrument was modified and improved for further use.
In Spring 2005 this assessment instrument was administered on a larger scale to 189 UWL students. The students varied in age, year in college, college of their major, study abroad experience etc… Again each student response was scored by 2 reviewers (Mike Abler, biology and Bruce Riley, mathematics) who were part of the General Education Assessment Summer Working Group. Before scoring, the reviewers standardized their responses by scoring and reviewing several scores to determine that all reviewers were using similar scoring methods. Each student response was scored by 2 reviewers.
Section 2 – Results – Several questions were asked of students who participated in this assessment exercise. The questions were designed to assess various different student learning outcomes and rubrics were set up to score each question. Below is shown the particular question asked, the student learning outcome that is assessed in this question, the rubric used for scoring, the mean score and any correlation between student performance and student demographic that was determined by the Statistical Consulting Center. Note only student scores which showed a correlation with a particular student demographic have been separated out and are reported below. Otherwise the overall mean student score is reported.
|
Question 1: |
Using the attached newspaper articles and graphics, take a position on whether or not GM food should be part of worldwide agricultural production. Support your answer.
|
|
Outcome to be assessed: |
Formulate and support ideas with sufficient reasoning, evidence and persuasive appeals, and proper attribution. (approved outcome 9/12/05 Gen Ed Committee).
|
|
Rubric: |
2 takes position and provides solid evidence 1 provides evidence without taking position or only weakly supports position 0 does not support position
|
|
Overall Mean Student Score: |
0.99
|
|
Correlation: |
The mean score for SAH is significantly higher than for CEESHR (P = 0.013).
|
|
|
|
|
College |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
SAH* |
70 |
1.1393 |
.56085 |
.00 |
2.00 |
|
CLS |
41 |
.9085 |
.47354 |
.00 |
2.00 |
|
CBA |
37 |
1.0270 |
.57065 |
.00 |
2.00 |
|
CEESHR* |
32 |
.8203 |
.52837 |
.00 |
2.00 |
|
Undeclared |
6 |
.5833 |
.51640 |
.00 |
1.25 |
|
Question 2: |
What is a gene?
|
|
Outcome to be assessed: |
Identify fundamental principles, theories, concepts, methodologies, tools and issues from various disciplines. (approved outcome 9/12/05 Gen Ed Committee).
|
|
Rubric: |
2 specifically says “DNA” 1 on the right track 0 clueless
|
|
Overall Mean Student Score: |
1.10
|
|
Correlation: |
The mean score for SAH is significantly higher than for CEESHR (P = 0.008). |
|
College |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
SAH* |
70 |
1.3214 |
.74350 |
.00 |
2.00 |
|
CLS |
41 |
1.1585 |
.76190 |
.00 |
2.00 |
|
CBA |
37 |
1.0135 |
.77268 |
.00 |
2.00 |
|
CEESHR* |
32 |
.7344 |
.72384 |
.00 |
2.00 |
|
Undeclared |
6 |
.8750 |
.89093 |
.00 |
2.00 |
|
Question 3: |
The Baltimore Sun article states “…current analytical methods can provide a detailed assessment of food composition…” What sort of components of food products might be analyzed?
|
|
Outcome to be assessed: |
Identify fundamental principles, theories, concepts, methodologies, tools and issues from various disciplines. (approved outcome 9/12/05 Gen Ed Committee).
|
|
Rubric: |
Possible Responses : proteins, sugars, fat 2 specifically states 2 or more components 1 does not state specific components but says something about chemical content 0 clueless
|
|
Overall Mean Student Score: |
0.70
|
|
Correlations: |
The mean score for SAH is significantly higher than for all other colleges (P < 0.0005).
The mean score for students with more than 4 science focus courses is significantly higher than for students with 1 or 2 such courses (P = 0.001). |
|
College |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
SAH* |
70 |
1.0036 |
.62770 |
.00 |
2.00 |
|
CLS* |
41 |
.6159 |
.58121 |
.00 |
2.00 |
|
CBA* |
37 |
.4324 |
.49529 |
.00 |
1.50 |
|
CEESHR* |
32 |
.5000 |
.62217 |
.00 |
2.00 |
|
Undeclared* |
6 |
.2500 |
.41833 |
.00 |
1.00 |
|
No. Courses w/Science Focus |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
None |
4 |
.2500 |
.50000 |
.00 |
1.00 |
|
1* |
34 |
.3897 |
.48536 |
.00 |
1.50 |
|
2* |
41 |
.5976 |
.52105 |
.00 |
1.50 |
|
3 |
29 |
.6638 |
.66237 |
.00 |
2.00 |
|
4 |
12 |
.6042 |
.62576 |
.00 |
1.50 |
|
>4* |
66 |
.9659 |
.66778 |
.00 |
2.00 |
|
Question 4: |
How might “superweeds” result from the use of GM crops? a. pollination of weed by crop plant b. physical contact between weed and plant c. plant crops near polluted areas d. Both a and b e. Both b and c
|
|
Outcome to be assessed: |
Identify fundamental principles, theories, concepts, methodologies, tools and issues from various disciplines. (approved outcome 9/12/05 Gen Ed Committee).
|
|
Rubric: |
1 got correct answer of a 0 did not get correct answer
|
|
Overall Mean Student Score: |
0.29
|
|
Correlation: |
No correlation found |
|
Question 5: |
Europeans are less accepting of GM foods than Americans. What issues may be impacting the difference in acceptance of GM foods by Europeans versus Americans?
|
|
Outcome to be assessed: |
Explain the rationales for cultural behaviors different from one’s own (approved outcome 9/12/05 Gen Ed Committee).
|
|
Rubric: |
2 – has specificity & evidence of differences between cultures 1 – weak evidence of differences 0 – does not recognize differences between cultures
|
|
Overall Mean Student Score: |
0.67
|
|
Correlation: |
The mean score for students with 4 or more courses with global awareness is significantly higher than for students with only 1 such course (P = 0.008). |
|
No. Courses w/Global Awareness |
N |
Mean |
Std. Deviation |
Minimum |
Maximum |
|
None |
34 |
.5956 |
.50383 |
.00 |
2.00 |
|
1* |
47 |
.5532 |
.45125 |
.00 |
1.50 |
|
2 |
50 |
.6800 |
.46026 |
.00 |
1.50 |
|
3 |
26 |
.5673 |
.55479 |
.00 |
1.75 |
|
4* |
14 |
1.0179 |
.63899 |
.25 |
2.00 |
|
>4* |
15 |
1.0167 |
.48612 |
.00 |
1.75 |
|
Question 6: |
How much corn containing both the insect resistance and herbicide tolerance traits was planted in 2002? (graphic was shown)
|
|
Outcome to be assessed: |
Use mathematical and logical methods to solve problems (approved outcome 9/12/05 Gen Ed Committee).
|
|
Rubric: |
correct answer - 2.2 million hectares 2 – specifically states 2.2 million hectares 1 – 2.2 or 2.2 million 0 – wrong number/answer
|
|
Overall Mean Student Score: |
0.63
|
|
Correlation: |
No correlation found |
|
Question 7: |
What percentage of GM crops was grown in Mexico in 2003? (graphic was shown) a) 1% b) 5% c) 0.1% d) 0.08% e) Impossible to be certain with the data provided.
|
|
Outcome to be assessed: |
Use mathematical and logical methods to solve problems (approved outcome 9/12/05 Gen Ed Committee).
|
|
Rubric: |
1 got correct answer of e 0 did not get correct answer
|
|
Overall Mean Student Score: |
0.85
|
|
Correlation: |
No correlation found |
Section 3 - Statistical Analysis and Conclusions (by David Reineke, Statistical Consulting Center)
Analysis of variance was used to determine if significant differences exist among the mean scores on questions relating to critical thinking, science, quantitative skills, and global perspective for age, year in college, college of academic major, number of courses involving global awareness, and the number of courses involving science as a focus while t-tests for independent samples were used for the dichotomous variables of time spent studying abroad and whether or not the student had other helpful experiences. Although the amount of time spent studying abroad had five categories, the small number of students in the study who have studied abroad made it necessary to collapse the variable into two categories: “None” and “Some.”
In every case, the normality and equal variance assumptions were examined, and where appropriate, the nonparametric Kruskal-Wallis test or Mann-Whitney U-test was used instead of the analysis of variance or t-test, respectively. A level of significance of 0.05 was used for each test.
Students in SAH received a higher mean score on the critical thinking question regarding the student’s position on genetically modified foods than students in CEESHR (P = 0.013).
The average “science” score on the question relating to food components was significantly higher for students who reported having more than four courses with science as a focus than for those having only one or two such courses (P = 0.001) and was also higher for students in SAH than in all other colleges (P < 0.0005). The average “science” score on the gene question was greater for SAH students than for CEESHR students (P = 0.008).
Students age 21 had a greater mean global perspective score (European issues) than students age 19 (P = 0.009) and students who reported having “4” or “more than 4” courses involving global awareness as a focus had a greater mean global perspective score than students reporting only having one such course (P = 0.008).
No other significant differences were found. It is important, however, to remember that lack of statistical significance does not necessarily imply a lack of practical significance. That is, sometimes non-significant statistical conclusions are just as important as significant ones.
Section 4 - Overall Student Demographics
Age
|
|
Frequency |
Percent |
|
18 |
14 |
7.5 |
|
19 |
38 |
20.4 |
|
20 |
50 |
26.9 |
|
21 |
30 |
16.1 |
|
22 |
25 |
13.4 |
|
over 22 |
29 |
15.6 |
|
Total |
186 |
100.0 |
Year
|
|
Frequency |
Percent |
|
Freshman |
38 |
20.4 |
|
Sophomore |
60 |
32.3 |
|
Junior |
23 |
12.4 |
|
Senior |
63 |
33.9 |
|
Non-degree/2nd Degree |
2 |
1.1 |
|
Total |
186 |
100.0 |
College
|
|
Frequency |
Percent |
|
SAH |
70 |
37.6 |
|
CLS |
41 |
22.0 |
|
CBA |
37 |
19.9 |
|
CEESHR |
32 |
17.2 |
|
Undeclared |
6 |
3.2 |
|
Total |
186 |
100.0 |
Time Spent Studying Abroad
|
|
Frequency |
Percent |
|
None |
159 |
85.5 |
|
Under 3 months |
15 |
8.1 |