| Literature DB >> 22949424 |
Brian J Buchwitz1, Catharine H Beyer, Jon E Peterson, Emile Pitre, Nevena Lalic, Paul D Sampson, Barbara T Wakimoto.
Abstract
Undergraduates entering science curricula differ greatly in individual starting points and learning needs. The fast pace, high enrollment, and high stakes of introductory science courses, however, limit students' opportunities to self-assess and modify learning strategies. The University of Washington's Biology Fellows Program (BFP) intervenes through a 20-session, premajors course that introduces students to the rigor expected of bioscience majors and assists their development as science learners. This study uses quantitative and qualitative approaches to assess whether the 2007-2009 BFP achieved its desired short- and long-term impacts on student learning. Adjusting for differences in students' high school grade point average and Scholastic Aptitude Test scores, we found that participation in the BFP was associated with higher grades in two subsequent gateway biology courses, across multiple quarters and instructors. Two to 4 yr after participating in the program, students attributed changes in how they approached learning science to BFP participation. They reported having learned to "think like a scientist" and to value active-learning strategies and learning communities. In addition, they reported having developed a sense of belonging in bioscience communities. The achievement of long-term impacts for a short-term instructional investment suggests a practical means to prepare diverse students for the rigors of science curricula.Entities:
Mesh:
Year: 2012 PMID: 22949424 PMCID: PMC3433300 DOI: 10.1187/cbe.12-01-0011
Source DB: PubMed Journal: CBE Life Sci Educ ISSN: 1931-7913 Impact factor: 3.325
BFP course design and assessment questions
| Course goal | Key assignments (number of dedicated sessions or “R” for short reiterative coverage) | Focus group question |
|---|---|---|
| Understanding hypotheses | Use two research publications (4): interpret data figures, propose hypotheses, evaluate with peers, and revise hypotheses | Do Biology Fellows understand what constitutes “thinking like a scientist?” |
| Use research seminar (2): propose initial hypotheses about the topic, listen to seminar, and revise and refine hypotheses | ||
| Learning scientific writing | Discuss principles of scientific writing (1) | |
| Study examples from two research publications (1) | ||
| Listen to research seminar, write a short summary of content, evaluate and discuss examples from peers (2) | ||
| Practice writing concise and precise answers (R) | ||
| Improving exam performance | Listen to BIOL 106 lectures on selected introductory biology topics (2); read and study text, and evaluate current study and exam-taking strategies (R); take two timed BIOL 106 exams (2); reevaluate, test, and revise strategies (R) | Do Biology Fellows value active-learning strategies and learning communities? |
| Improving metacognition | Learn about research studies on learning strategies (R) | |
| Complete in-class assignments practicing study strategies, rate performance, and identify areas for improvement (R) | ||
| Maintain portfolio of course materials and assignments (R); evaluate performance midcourse (1); discuss with instructor (20-min individual appointment); evaluate portfolio at end of course (1) | ||
| Encouraging peer support | Interact with different groups each class session (R) | |
| Participate in discussions comparing learning challenges (R) | ||
| Work cooperatively in class on small-group assignments (R) | ||
| Encouraging proactive use of academic resources | Listen to and discuss advice from a panel of more advanced students and academic advisers (1) | Do Biology Fellows develop a sense of belonging in bioscience communities? |
| Meet individually with academic adviser (1) | ||
| Meet individually with instructor (1) | ||
| Prepare a job resume and inquiry letter (1) | ||
| Maintain email contact with BFP peers, instructors, and academic advisers to learn about support and science opportunities (R) |
Comparison of BFP and non-BFP high school GPAs and SAT scores
| Mean score ± SD ( | ||||
|---|---|---|---|---|
| EOP BFP | EOP non-BFP | Non-EOP BFP | Non-EOP Non-BFP | |
| High school GPA | 3.73 ± 0.252 (149) | 3.69 ± 0.289 (1320) | 3.82 ± 0.173 (147) | 3.78 ± 0.214 (8072) |
| SAT Math | 587.45 ± 83.037 (145) | 580.75 ± 75.568 (1324) | 649.93 ± 75.253 (139) | 649.37 ± 75.018 (7899) |
| SAT Verbal | 564.69 ± 84.188 (145) | 542.76 ± 84.417 (1324) | 598.52 ± 79.242 (142) | 602.56 ± 88.401 (7899) |
Regression analysis: regression model coefficients
| Regression parameter estimates ± SE | |||
|---|---|---|---|
| Regression model coefficient or summary statistic | BIOL 180 | BIOL 200 | BIOL 220 |
| BFP participation (β1) | 0.29* ± 0.105 | 0.39* ± 0.107 | 0.11 ± 0.098 |
| EOP status (β2) | −0.09* ± 0.036 | −0.07 ± 0.041 | −0.03 ± 0.039 |
| BFP*EOP (β3) | 0.10 ± 0.145 | −0.01 ± 0.150 | −0.06 ± 0.142 |
| High school GPA (β4)a | 0.99* ± 0.052 | 0.85* ± 0.060 | 0.72* ± 0.058 |
| SAT Math score (β5)b | 0.002* ± 0.00017 | 0.002* ± 0.00019 | 0.002* ± 0.00020 |
| SAT Verbal score (β6)b | 0.003* ± 0.00015 | 0.002* ± 0.00017 | 0.002* ± 0.00016 |
| Residual SE | 0.72 | 0.71 | 0.61 |
| Sample size | 3766 | 2872 | 2294 |
| Multiple | 0.36 | 0.23 | 0.25 |
*Statistically significant, p < 0.05.
a4.0 scale; b800 scale.