APPLIED LEARNING STUDENT QUESTIONNAIRE: ANALYSIS
Overall Results
December 2012
Executive Summary
Participants and Methods In December 2012, 860 students across 6 Race to the Top programs completed the Applied Learning Student Questionnaire (ALSQ). The response rate displayed in Table 1 suggests that 95% of the total number of participating students were successfully surveyed.
Table 1. Survey Response Rates
Program
STEM for Life Carroll County Drew Charter School- Partners of Innovation Murray County STEM Academy 21st Century STEM Collaboration- Barrow County STEM Targeted Education Program (STEP) Academy- Moore MS Tift County Mechatronics Program Total
# of Survey Respondents
41 281 44
396
Total # of Participating Students 42 301 50
412
Survey Response Rate
98% 93% 88%
96%
62
64
97%
36
40
90%
860
909
95%
The ALSQ1 is designed to measure pre and post gains related to student problem solving and communication skills, self-management and engagement.
The ALSQ is a self-report questionnaire that includes 36 items to assess students' attitudes on the following survey constructs:
1. Intrinsic Motivation: motivation stemming from goals of mastery, learning and challenge. Example, "It is important for me to learn what is being taught in this program."
2. Self-management/Self-Regulation: effortful and persistent behaviors that are used to guide, monitor, and direct the success of one's learning and performance. Example, "I turn all my assignments in on time."
3. Intent to Persist: aspirations, plans, and goals to pursue additional education and a career in STEM. Example, "I intend to get a college degree in STEM (Science, Technology, Engineering, and Math)."
4. Problem Solving: inquiry-based learning environment that provides higher-order cognitive tasks and real-world applications. Example, "I work out explanations on my own."
5. Implementation Activities: hands-on activities designed to increase exposure to STEM topics and real-world applications. Example, "We learn what scientists/technicians/engineers/ mathematicians or other STEM professionals do."
1 See Appendix A for information related to the construct reliabilities of the ALSQ.
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Executive Summary, continued
Results & Discussion
ALSQ Survey Constructs Table 2 summarizes students' responses to the ALSQ survey constructs across all programs. It is clear that the programs were effective at producing statistically significantly increases in students' intrinsic motivation, self-management/self-regulation skills and intent to persist. The largest student gains observed were in the intrinsic motivation construct. Before the program, less than 55% of students indicated that they derive value and see the importance in learning about STEM; now, more than 76% say that they are intrinsically motivated to tackle STEM-related tasks and projects. Despite these statistically significant gains, it is important to note that the "now" scores across the following 3 constructs did not reach or exceed the optimal average of 4.0 on a 5-point likert scale (1, strongly disagree to 5, strongly agree): Intent to Persist, Problem Solving, and Implementation Activities. See Figure 1. In order to maximize effectiveness, we would expect students' average scores to exceed 4.0. Figure 1 suggests that additional work may be needed in the above mentioned areas.
Table 2. Summary of Results by Constructs
Constructs
n
Before 845 Intrinsic Motivation
Now 834
Overall- Constructs
Mean1
Paired Samples
t-test
1 (Strongly Disagree)
2 (Disagree)
3 (Neutral)
4 (Agree)
5 (Strongly
Agree)
3.57 0.000** 4.10
+N+N+N+N+N+ +N+N+N+N+N+
5% 2%
11% 29% 31% 24% 4% 17% 34% 42%
Self- Management/Self-
Regulation
Intent to Persist
Before 840 Now 825 Before 841 Now 828
3.89 0.000** 4.13
+N+N+N+N+N+ +N+N+N+N+N+
21% 21%
12% 8%
25% 25% 17% 19% 27% 26%
3.37 0.000** 3.64
+N+N+N+N+N+ +N+N+N+N+N+
13% 10%
17% 13%
23% 15% 32% 20% 17% 40%
Problem Solving Now 842
3.97 n/a +N+N+N+N+N+ 2% 5% 22% 36% 35%
Implementation activities
Now 838
3.77 n/a +N+N+N+N+N+ 3% 7% 26% 35% 28%
1 Reference lines are set at 3.5 and 4. Negatively worded statements were reverse coded for mean computations. **p<.01, *p<.05, p<.10
Figure 1. Constructs
Before
Now
Optimal Average
5.00
4.50 **
4.00
3.50
3.00
2.50
2.00
1, Strongly Disagree to 5, Strongly Agree Intrinsic Motivation
Self- Management/Self-
Regulation Intent to Persist Problem Solving Implementation
Activitites
**p<.01, *p<.05, p<.10; Scale is truncated for visual clarity. Prepared by The Findings Group, LLC
Constructs
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Executive Summary, continued
ALSQ Survey Constructs by Program Examining the ALSQ results by individual program, it is evident that all programs show statistically significant increases in intrinsic motivation, self-management/self-regulation and intent to persist. Students in the STEM for Life program at Carroll County show the largest increases from before to now on all three of the above mentioned constructs; Murray STEM Academy students show the smallest average increases across all 6 programs. See Table 3.
Table 3. Summary of Results by Constructs per Program
Overall- Constructs per Program
Constructs
STEM for Life Carroll
County (n=41)
Drew Charter
(n=281)
Murray STEM Academy
(n=44)
21st Century Barrow County
(n=396)
STEP Academy Moore MS
(n=62)
TIFT County Mechatronics
(n=36)
Mean t-test Mean t-test Mean t-test Mean t-test Mean t-test Mean t-test
Intrinsic Motivation
Before 3.27 Now 4.16
0.000**
3.69 4.12
0.000**
2.95 3.27
0.018*
3.59 4.15
0.000**
3.41 4.06
0.000**
3.83 4.31
0.000**
Self-
Before 3.42
3.97
Management/ Self-Regulation
Now 4.19 0.000** 4.14
3.50 0.000** 3.61
0.010*
3.93
3.65
4.19 0.000** 4.00
4.09 0.000** 4.30
0.000**
Intent to Persist
Before 2.87 Now 3.49
0.000**
3.54 3.74
0.000**
2.98 3.06
0.499
3.32 3.58
0.000**
3.35 3.69
0.000**
3.74 4.26
0.000**
Problem Solving Now 3.74
4.04
3.35
4.04
3.64
4.16
Implementation activities
Now 3.70
n/a
3.76
n/a 2.96
3.94 n/a 3.43 n/a 4.23
n/a
Scale= 1, Strongly Disagree to 5, Strongly Agree. Negatively worded statements were reverse coded for mean computations. **p<.01,
*p<.05, p<.10
In order for programs to maximize their effectiveness, we would expect "now" scores to reach or
exceed the optimal average of 4.0. Figures 2 6 display "now" scores for each program and
construct. For example, Figure 2 indicates that all programs met or exceeded the optimal average
for intrinsic motivation, with the exception of Murray STEM Academy. In general, programs not
reaching or exceeding the red horizontal line may need additional attention.
Figure 2. Intrinsic Motivation ("Now" Scores)
5
5
Figure 3. Self-Management/ Self-Regulation ("Now" Scores)
4.5
4.5
4
4
3.5
3.5
3
3
2.5
2.5
Scale= 1, Strongly Disagree to 5, Strongly Agree. Scale was truncated for visual clarity
STEM for Life Carroll County Drew Charter
Murray STEM Academy 21st Century Barrow County STEP Academy Moore MS TIFT County Mechatronics
STEM for Life Carroll County Drew Charter
Murray STEM Academy 21st Century Barrow County STEP Academy Moore MS TIFT County Mechatronics
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STEM for Life Carroll County
Drew Charter Murray STEM
Academy 21st Century Barrow
County STEP Academy
Moore MS TIFT County Mechatronics
STEM for Life Carroll County Drew Charter
Murray STEM Academy 21st Century Barrow County STEP Academy Moore MS TIFT County Mechatronics
STEM for Life Carroll County Drew Charter Murray STEM Academy 21st Century Barrow
County STEP Academy
Moore MS TIFT County Mechatronics
STEM for Life Carroll County Drew Charter Murray STEM Academy 21st Century Barrow County STEP Academy Moore MS
TIFT County Mechatronics
Executive Summary, continued
5
Figure 4. Intent to Persist ("Now" Scores)
4.5
4
3.5
3
2.5 5
Figure 6. Implementation Activities ("Now" Scores)
4.5
5
Figure 5. Problem Solving ("Now" Scores)
4.5
4
3.5
3
2.5
5
Figure 7. Program Ratings
4.5
4
4
3.5
3.5
3
3
2.5
2.5
Scale= 1, Strongly Disagree to 5, Strongly Agree. Scale was truncated for visual clarity; Program Rating Scale= 1, Very Poor to 5, Excellent.
Program Rating Collapsing across all programs, students' ratings exceeded the optimal average of 4.0. On a 5-point likert scale where 1 signifies very poor and 5 signifies excellent, the average score was a 4.12. Looking at Figure 7, above, we see that 4 out of 6 programs were rated highly. However, Murray County STEM Academy and the STEP Academy at Moore Middle School may need additional assistance in improving student enjoyment.
Areas for Further Improvement Across all programs, further enhancing problem solving skills may be warranted. Specifically, students' ratings suggest that the inquiry-based learning environment may be improved by allowing students more opportunity to choose their own topics or projects, work out explanations on their own, and plan and conduct their own projects. Likewise, encouraging programs to provide activities that foster interaction with STEM professionals may increase student exposure to real-world applications and careers. Such implementation activities may strengthen students' intentions and motivations to pursue additional education in STEM fields.
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Table 4. Intrinsic Motivation
Intrinsic Motivation
n
1. I prefer class work that is challenging so I can learn new things.
Before 845 Now 834
2. It is important to me to learn what is being taught in this program.
Before 844 Now 832
3. I like what I am learning in this program.
Before 834 Now 828
4. I think I will be able to use what I learn in this program in other classes.
Before 831 Now 828
5. Even when I do poorly on a test, Before 841
I try to learn from my mistakes. Now 831
6. I think that what I am learning in Before 833
this program is useful for me to
know.
Now 826
7. I think that what we are learning Before 831
in this program is interesting.
Now 825
8. Understanding STEM (Science, Technology, Engineering, and Math) is important to me.
Before 840 Now 831
9. I enjoy STEM (Science,
Before 834
Technology, Engineering, and
Math) in general.
Now 828
1 Reference lines are set at 3.5 and 4. **p<.01, *p<.05, p<.10
Mean1
Paired Samples
t-test
1 (Strongly Disagree)
2
3
(Disagree) (Neutral)
4 (Agree)
5 (Strongly Agree)
3.07
+N+N+N+N+N+ 10%
3.68 0.000** +N+N+N+N+N+ 4%
17%
38% 24% 10%
8%
26% 39% 23%
3.85
+N+N+N+N+N+ 2%
4.31 0.000** +N+N+N+N+N+ 1%
5%
27% 38% 28%
1%
12% 37% 49%
3.55
+N+N+N+N+N+ 5%
4.12 0.000** +N+N+N+N+N+ 3%
3.57
+N+N+N+N+N+ 5%
4.10 0.000** +N+N+N+N+N+ 2%
11%
32% 30% 23%
4%
17% 33% 44%
11%
29% 33% 22%
5%
17% 33% 43%
4.00
+N+N+N+N+N+ 2%
4.44 0.000** +N+N+N+N+N+ 1%
3.70
+N+N+N+N+N+ 3%
4.21 0.000** +N+N+N+N+N+ 1%
7%
18% 35% 38%
1%
9%
32% 58%
9%
25% 37% 24%
3%
15% 35% 46%
3.47
+N+N+N+N+N+ 7%
4.01 0.000** +N+N+N+N+N+ 3%
3.60
+N+N+N+N+N+ 5%
4.13 0.000** +N+N+N+N+N+ 2%
13%
31% 26% 24%
5%
19% 31% 41%
9%
31% 30% 25%
4%
18% 32% 44%
3.32
+N+N+N+N+N+ 9%
3.85 0.000** +N+N+N+N+N+ 5%
13%
31% 28% 18%
6%
22% 34% 33%
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Table 5. Self-Regulation/Self-Motivation
Self-Regulation/Self-Motivation
n
Mean1
Paired Samples
t-test
1 (Strongly Disagree)
2
3
(Disagree) (Neutral)
4 (Agree)
5 (Strongly Agree)
10. I turn all my assignments in on Before 840
time.
Now 818
3.51
+N+N+N+N+N+ 4%
3.91 0.000** +N+N+N+N+N+ 1%
13%
33% 31% 20%
6%
25% 38% 30%
11. I miss class often. (n)
Before 835 Now 817
1.56
+N+N+N+N+N+ 66%
20%
9%
4%
2%
1.54 0.640 +N+N+N+N+N+ 71%
15%
7%
4%
3%
12. I am often late for class. (n)
Before 828 Now 814
1.57
+N+N+N+N+N+ 65%
21%
9%
4%
1%
1.52 0.045* +N+N+N+N+N+ 69%
18%
8%
3%
2%
13. I set aside time to do my homework and study.
Before 838 Now 825
3.34
+N+N+N+N+N+ 6%
3.72 0.000** +N+N+N+N+N+ 4%
15%
34% 30% 15%
7%
29% 32% 27%
14. When I say I'm going to do something, I do it.
Before 840 Now 823
3.79
+N+N+N+N+N+ 2%
4.05 0.000** +N+N+N+N+N+ 1%
5%
31% 37% 25%
3%
21% 39% 36%
15. I am a hard worker.
Before 836 Now 823
4.00
+N+N+N+N+N+ 1%
4.30 0.000** +N+N+N+N+N+ 0%
4%
24% 36% 35%
1%
15% 34% 49%
16. I finish whatever I begin.
Before 837 Now 822
3.69
+N+N+N+N+N+ 2%
4.01 0.000** +N+N+N+N+N+ 0%
1 Reference lines are set at 3.5 and 4. **p<.01, *p<.05, p<.10; (n) nega vely worded statement
8%
35% 32% 24%
3%
25% 37% 34%
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Table 6. Intent to Persist
Intent to Persist
n
17. I am considering a career in STEM (Science, Technology, Engineering, and Math).
Before 841 Now 827
18. I intend to get a college degree Before 839
in STEM (Science, Technology, Engineering, and Math).
Now 826
19. I can see myself working in STEM (Science, Technology, Engineering, and Math).
Before 836 Now 825
20. Someday, I would like to have a Before 833 career in STEM (Science,
Technology, Engineering, and Math).
Now 819
21. I intend to graduate from high Before 835
school
Now 828
1 Reference lines are set at 3.5 and 4. **p<.01, *p<.05, p<.10
Mean1
Paired Samples
t-test
1 (Strongly Disagree)
2
3
(Disagree) (Neutral)
4 (Agree)
5 (Strongly Agree)
3.00
+N+N+N+N+N+ 16%
3.32 0.000** +N+N+N+N+N+ 13%
21%
29% 17% 18%
17%
23% 21% 27%
3.17
+N+N+N+N+N+ 11%
3.47 0.000** +N+N+N+N+N+ 10%
20%
29% 18% 21%
14%
27% 18% 31%
2.99
+N+N+N+N+N+ 17%
3.31 0.000** +N+N+N+N+N+ 13%
19%
28% 19% 17%
16%
24% 22% 25%
2.92
+N+N+N+N+N+ 19%
21%
27% 17% 17%
3.23 0.000** +N+N+N+N+N+ 15%
16%
25% 18% 26%
4.79
+N+N+N+N+N+ 1%
4.85 0.002** +N+N+N+N+N+ 1%
1%
4%
6%
88%
1%
2%
4%
92%
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Table 7. Problem Solving, Now Only
1
Problem Solving
n
Mean
Assessment
(Strongly
Disagree)
22. In this program, my teacher(s)
tells me how to improve my
838
4.18 Good +N+N+N+N+N+ 2%
work.
23. In this program, my teacher(s) lets us choose our own topics 838
3.44 Action ! +N+N+N+N+N+ 7%
or projects to investigate.
24. In this program, I work out explanations on my own.
841
3.65 Attention +N+N+N+N+N+ 1%
25. In this program, I have
opportunities to explain my
842
3.87 Attention +N+N+N+N+N+ 2%
ideas.
26. In this program, we plan and do
our own projects and/or
842
3.76 Attention +N+N+N+N+N+ 3%
experiments.
27. In this program, we work on real-world problems.
840
3.90 Attention +N+N+N+N+N+ 3%
28. In this program, we have class discussions.
836
4.27 Good +N+N+N+N+N+ 2%
29. In this program, we investigate to see if our ideas are right.
838
4.05 Good +N+N+N+N+N+ 1%
30. In this program, we need to be able to think and ask questions.
834
4.35 Good +N+N+N+N+N+ 1%
31. In this program, we are expected to understand and 837
4.23 Good +N+N+N+N+N+ 1%
explain ideas. 1 Reference lines are set at 3.5 and 4. Assessment: Good=Above 4.0; Attention=Below 4.0; Action=Below 3.5.
2 (Disagree)
3%
11% 5% 6%
8% 7% 3% 3% 2% 2%
3 (Neutral)
14%
32% 36% 25%
27% 22% 13% 22% 13% 16%
4 (Agree)
40%
32% 41% 38%
33% 34% 32% 36% 32% 37%
5 (Strongly
Agree) 42%
18% 16% 29%
29% 34% 51% 37% 53% 45%
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Table 8. Implementation Activities, Now Only
1
Implementation Activities
n
Mean
Assessment
(Strongly
Disagree)
32. In this program, my teacher(s) takes notice of 834
3.93 Attention +N+N+N+N+N+ 3%
students' ideas.
33. In this program, my
teacher(s) shows us how new information relates to what
828
4.18 Good +N+N+N+N+N+ 1%
we have already learned.
34. In this program, we learn
what scientists/ technicians/ engineers/ mathematicians 838
3.58 Attention +N+N+N+N+N+ 4%
or other STEM professionals
do.
35. In this program, we do our work in groups.
837
3.71 Attention +N+N+N+N+N+ 2%
36. In this program, we interact
with scientists/ technicians/ engineers/ mathematicians
835
3.45 Action ! +N+N+N+N+N+ 8%
or other STEM professionals. 1 Reference lines are set at 3.5 and 4. Assessment: Good=Above 4.0; Attention=Below 4.0; Action=Below 3.5.
2 (Disagree)
5% 3%
10% 7% 12%
3 (Neutral)
22% 15%
30% 33% 30%
4 (Agree)
39% 37%
35% 35% 28%
5 (Strongly Agree)
32%
43%
21%
23% 22%
Table 9. Educational Plans
What is the highest level of education you plan
Before
Now
Change1
to achieve?
n
%
n
%
n
%
High School
104 13%
69
9%
-35
-4.16%
2-year college
103 13%
61
8%
-42
-5.04%
4-year college
250 31%
168
21%
-82
-9.72%
Graduate School
180 22%
226
28%
+46
+6.20%
Professional School
174 21%
272
34%
+98
+12.72%
Total
811 100% 796
100%
Average2
3.05
3.38
0.000** (significant)3
1 Change from Before to Now. Increases are highlighted in green; decreases are highlighted in red.
2To compute averages, the following codes were applied: High School (1), 2-year college (2), 4-year college (3), Graduate School (4), Professional School (4). 3Paired
samples t-test, p-value: **p<.01, *p<.05, p<.10
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Table 10. Demographics
Gender
Female Male Total
Ethnicity
Asian Black Hispanic Native American White Multiracial Other Total
n 436 406 842
n
%
31
4%
316
38%
69
8%
4
0%
337
40%
64
8%
19
2%
840 100%
Grade
6th 7th 8th 9th 10th 11th 12th
Other
Total
% 52% 48% 100%
n 178 240 220 47 47 27 86
0 845
% 21% 28% 26% 6% 6% 3% 10% 0% 100%
Table 11. Participation
How long have you participated in this program?
n
0 semesters
34
1 semester
515
2 semesters
67
Dosage
3 semesters 4 or more semesters
16 84
Summer Only
2
Don't Know
114
Total
832
Did you participate in this program during the summer? n
No
720
Summer
Yes
41
Participation Don't Know
73
Total
834
% 4% 62% 8% 2% 10% 0% 14% 100%
% 86% 5% 9% 100%
Table 12. Program Rating
Program Rating: How would you n
rate this program? 836
Mean1
Assessment
Very Poor (1)
Poor (2)
4.12 Good +N+N+N+N+N+ 3% 3%
1 Reference lines are set at 3.5 and 4. Assessment: Good=Above 4.0; Attention=Below 4.0; Action=Below 3.5.
Average (3)
17%
Good (4)
35%
Excellent (5)
42%
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Appendix A. Construct Reliabilities
Construct Reliabilities
Constructs
n
Intrinsic Motivation (9-items)
Before
801
Now
782
Before
807
Self-Management/Self-Regulation (7-items)
Now
784
Intent to Persist (5-items)
Before
828
Now
817
Problem Solving (10-items)
Now
816
Implementation Activities (5-items)
Now
821
Cronbach's alpha
.853 .863 .729 .708 .861 .877 .848 .756
Reliability Interpretation
Very good Very good
Good Good Very good Very good Very good Good
Cronbach's Alpha Reliability Key: Cronbach's alpha is a measure of the internal consistency of items in a construct. This statistic ranges from 0 to 1.00; the higher the value the better. An alpha of .80 or higher is considered to have achieved very good measurement reliability; an alpha of .65 is considered acceptable (Field, 2009). The table above suggests that all constructs achieved good to very good measurement reliability.
Reliability
Interpretation
.90 and above
Excellent reliability; at the level of the best measures
.80 - .90 Very good
.70 - .80 Good; in the range of most. There are probably a few items which could be improved.
Somewhat low. This measure needs to be supplemented by other measures (e.g., .60 - .70 more surveys) to determine outcomes. There are probably some items which could be
improved.
.50 - .60
Suggests need for revision of measure, unless it is quite short (ten or fewer items). The test definitely needs to be supplemented by other measures (e.g., more tests).
.50 or Questionable reliability. This measure should not contribute heavily to the outcomes below and needs revision.
From: J. C. Nunnally, Psychometric Theory. New York: McGraw-Hill, 1967, pp. 172-235.
Reference: Field, A. (2009). Discovering Statistics Using SPSS, 3rd Edition. Thousand Oaks, CA: Sage Publications.
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