Awareness and Implementation of Evidence-Based Learning Strategies Among STEM Faculty

References

• Adesope, O. O., Trevisan, D. A., & Sundararajan, N. (2017). Rethinking the use of tests: A meta-analysis of practice testing. Review of Educational Research, 87(3), 659–701. https://doi.org/10.3102/0034654316689306
   Web of Science ®Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Ajzen, I. (2012). The theory of planned behavior. In P. A. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology. (Vol. 1, pp. 438–459). Sage.
   Google Scholar
• Beichner, R. J., Saul, J. M., Abbott, D. S., Morse, J. J., Deardorff, D., Allain, R. J., Bonham, S. W., Dancy, M. H., & Risley, J. S. (2007). The student-centered activities for large enrollment undergraduate programs (SCALE-UP) project. Research-Based Reform of University Physics, 1((1), 2–39.
   Google Scholar
• Blasiman, R. N., Dunlosky, J., & Rawson, K. A. (2017). The what, how much, and when of study strategies: Comparing intended versus actual study behaviour. Memory (Hove, England), 25(6), 784–792. https://doi.org/10.1080/09658211.2016.1221974
   PubMed Web of Science ®Google Scholar
• Brunmair, M., & Richter, T. (2019). Similarity matters: A meta-analysis of interleaved learning and its moderators. Psychological Bulletin, 145(11), 1029–1052. https://doi.org/10.1037/bul0000209
   PubMed Web of Science ®Google Scholar
• Butler, A. C. (2010). Repeated testing produces superior transfer of learning relative to repeated studying. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36(5), 1118–1133. https://doi.org/10.1037/a0019902
   PubMed Web of Science ®Google Scholar
• Carpenter, S. K., Cepeda, N. J., Rohrer, D., Kang, S. H., & Pashler, H. (2012). Using spacing to enhance diverse forms of learning: Review of recent research and implications for instruction. Educational Psychology Review, 24(3), 369–378. https://doi.org/10.1007/s10648-012-9205-z
   Web of Science ®Google Scholar
• Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354–380. https://doi.org/10.1037/0033-2909.132.3.354
   PubMed Web of Science ®Google Scholar
• Dunlosky, J., & Rawson, K. A. (2015). Practice tests, spaced practice, and successive relearning: Tips for classroom use and for guiding students’ learning. Scholarship of Teaching and Learning in Psychology, 1(1), 72–78. https://doi.org/10.1037/stl0000024
   Google Scholar
• Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students’ learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest: A Journal of the American Psychological Society, 14(1), 4–58. https://doi.org/10.1177/1529100612453266
   PubMed Web of Science ®Google Scholar
• Eitel, A., & Scheiter, K. (2015). Picture or text first? Explaining sequence effects when learning with pictures and text. Educational Psychology Review, 27(1), 153–180. https://doi.org/10.1007/s10648-014-9264-4
   Web of Science ®Google Scholar
• Ellis, J. (2014, July 15–20). Preparing future professors: Highlighting the importance of graduate student professional development programs in calculus instruction [Paper presentation]. Joint Meeting of the International Group for the Psychology of Mathematics Education and the North American Chapter of the Psychology of Mathematics Education. https://files.eric.ed.gov/fulltext/ED599810.pdf
   Google Scholar
• Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
   PubMed Web of Science ®Google Scholar
• Freeman, S., Haak, D., & Wenderoth, M. P. (2011). Increased course structure improves performance in introductory biology. CBE Life Sciences Education, 10(2), 175–186. https://doi.org/10.1187/cbe.10-08-0105
   PubMed Web of Science ®Google Scholar
• Gardner, G. E., Brown, E., Grimes, Z., & Bishara, G. (2021). Exploring barriers to the use of evidence-based instructional practices. Journal of College Science Teaching, 51(2), 56–66. https://doi.org/10.1080/0047231X.2021.12290550
   Google Scholar
• Gess-Newsome, J., Southerland, S. A., Johnston, A., & Woodbury, S. (2003). Educational reform, personal practical theories, and dissatisfaction: The anatomy of change in college science teaching. American Educational Research Journal, 40(3), 731–767. https://doi.org/10.3102/00028312040003731
   Web of Science ®Google Scholar
• Halamish, V. (2018). Pre-service and in-service teachers’ metacognitive knowledge of learning strategies. Frontiers in Psychology, 9, 2152. https://doi.org/10.3389/fpsyg.2018.02152
   PubMed Web of Science ®Google Scholar
• Hartwig, M. K., & Dunlosky, J. (2012). Study strategies of college students: Are self-testing and scheduling related to achievement? Psychonomic Bulletin & Review, 19(1), 126–134. https://doi.org/10.3758/s13423-011-0181-y
   PubMed Web of Science ®Google Scholar
• Holdren, J. P. (2013). Federal science, technology, engineering and mathematics education 5-year strategic plan. Executive Office of the President, Committee on STEM Education National Science and Technology Council.
   Google Scholar
• Hunter, A. S., & Lloyd, M. E. (2018). Faculty discuss study strategies, but not the best ones: A survey of suggested exam preparation techniques for difficult courses across disciplines. Scholarship of Teaching and Learning in Psychology, 4(2), 105–114. https://doi.org/10.1037/stl0000107
   Google Scholar
• Kang, S. H. (2016). Spaced repetition promotes efficient and effective learning: Policy implications for instruction. Policy Insights from the Behavioral and Brain Sciences, 3(1), 12–19. https://doi.org/10.1177/2372732215624708
   Google Scholar
• Karpicke, J. D., Butler, A. C., & Roediger, H. L. III, (2009). Metacognitive strategies in student learning: Do students practise retrieval when they study on their own? Memory (Hove, England), 17(4), 471–479. https://doi.org/10.1080/09658210802647009
   PubMed Web of Science ®Google Scholar
• Kornell, N., & Bjork, R. A. (2008). Learning concepts and categories: Is spacing the “enemy of induction”? Psychological Science, 19(6), 585–592. https://doi.org/10.1111/j.1467-9280.2008.02127.x
   PubMed Web of Science ®Google Scholar
• Lewis, S. E. (2014). Investigating the longitudinal impact of a successful reform in general chemistry on student enrollment and academic performance. Journal of Chemical Education, 91(12), 2037–2044. https://doi.org/10.1021/ed500404q
   Web of Science ®Google Scholar
• Lund, T. J., & Stains, M. (2015). The importance of context: An exploration of factors influencing the adoption of student-centered teaching among chemistry, biology, and physics faculty. International Journal of STEM Education, 2(1), 1–21. https://doi.org/10.1186/s40594-015-0026-8
   Google Scholar
• Mayer, R. E., & Anderson, R. B. (1991). Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83(4), 484–490. https://doi.org/10.1037/0022-0663.83.4.484
   Web of Science ®Google Scholar
• Mayer, R. E., & Gallini, J. K. (1990). When is an illustration worth ten thousand words? Journal of Educational Psychology, 82(4), 715–726. https://doi.org/10.1037/0022-0663.82.4.715
   Web of Science ®Google Scholar
• McCabe, J. (2011). Metacognitive awareness of learning strategies in undergraduates. Memory & Cognition, 39(3), 462–476. https://doi.org/10.3758/s13421-010-0035-2
   PubMed Web of Science ®Google Scholar
• Miyatsu, T., Nguyen, K., & McDaniel, M. A. (2018). Five popular study strategies: Their pitfalls and optimal implementations. Perspectives on Psychological Science: a Journal of the Association for Psychological Science, 13(3), 390–407. https://doi.org/10.1177/1745691617710510
   PubMedGoogle Scholar
• Morehead, K., Rhodes, M. G., & DeLozier, S. (2016). Instructor and student knowledge of study strategies. Memory (Hove, England), 24(2), 257–271. https://doi.org/10.1080/09658211.2014.1001992
   PubMed Web of Science ®Google Scholar
• Moreno, R., & Valdez, A. (2005). Cognitive load and learning effects of having students organize pictures and words in multimedia environments: The role of student interactivity and feedback. Educational Technology Research and Development, 53(3), 35–45. https://doi.org/10.1007/BF02504796
   Web of Science ®Google Scholar
• National Center for Education Statistics. (n.d). Integrated postsecondary education data system. https://nces.ed.gov/ipeds/
   Google Scholar
• Norton, P., Bridges, W., & High, K. (2018). Impact of course policy changes on calculus II DFW rates. Journal of STEM Education, 19(1), 41–47. https://www.jstem.org/jstem/index.php/JSTEM/article/download/2180/1937/7593
   Google Scholar
• Paivio, A., Walsh, M., & Bons, T. (1994). Concreteness effects on memory: When and why? Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(5), 1196–1204. https://doi.org/10.1037/0278-7393.20.5.1196
   Web of Science ®Google Scholar
• Pashler, H., Bain, P. M., Bottge, B. A., Graesser, A., Koedinger, K., McDaniel, M., & Metcalfe, J. (2007). Organizing instruction and study to improve student learning: IES practice guide (NCER 2007-2004). National Center for Education Research.
   Google Scholar
• Pressley, M., McDaniel, M. A., Turnure, J. E., Wood, E., & Ahmad, M. (1987). Generation and precision of elaboration: Effects on intentional and incidental learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13(2), 291–300. https://doi.org/10.1037/0278-7393.13.2.291
   Web of Science ®Google Scholar
• Putnam, A. L., & Roediger, H. L. (2013). Does response mode affect amount recalled or the magnitude of the testing effect? Memory & Cognition, 41(1), 36–48. https://doi.org/10.3758/s13421-012-0245-x
   PubMed Web of Science ®Google Scholar
• Putnam, A. L., Sungkhasettee, V. W., & Roediger, H. L. III, (2016). Optimizing learning in college: Tips from cognitive psychology. Perspectives on Psychological Science, 11(5), 652–660. https://doi.org/10.1177/1745691616645
   Web of Science ®Google Scholar
• Rawson, K. A., Thomas, R. C., & Jacoby, L. L. (2015). The power of examples: Illustrative examples enhance conceptual learning of declarative concepts. Educational Psychology Review, 27(3), 483–504. https://doi.org/10.1007/s10648-014-9273-3
   Web of Science ®Google Scholar
• Reinholz, D. L., Matz, R. L., Cole, R., & Apkarian, N. (2019). STEM is not a monolith: A preliminary analysis of variations in STEM disciplinary cultures and implications for change. CBE Life Sciences Education, 18(4), mr4. https://doi.org/10.1187/cbe.19-02-0038
   PubMed Web of Science ®Google Scholar
• Roediger, H. L., III., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20–27. https://doi.org/10.1016/j.tics.2010.09.003
   PubMed Web of Science ®Google Scholar
• Roediger, H. L., III., & Karpicke, J. D. (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17(3), 249–255. https://doi.org/10.1111/j.1467-9280.2006.01693.x
   PubMed Web of Science ®Google Scholar
• Rogers, E. M. (1995). Lessons for guidelines from the diffusion of innovations. The Joint Commission Journal on Quality Improvement, 21(7), 324–328. https://doi.org/10.1016/S1070-3241(16)30155-9
   PubMedGoogle Scholar
• Rogers, E. M. (2004). A prospective and retrospective look at the diffusion model. Journal of Health Communication, 9(Suppl. 1), 13–19. https://doi.org/10.1080/10810730490271449
   PubMed Web of Science ®Google Scholar
• Rohrer, D. (2012). Interleaving helps students distinguish among similar concepts. Educational Psychology Review, 24(3), 355–367. https://doi.org/10.1007/s10648-012-9201-3
   Web of Science ®Google Scholar
• Rohrer, D., & Taylor, K. (2007). The shuffling of mathematics problems improves learning. Instructional Science, 35(6), 481–498. https://doi.org/10.1007/s11251-007-9015-8
   Web of Science ®Google Scholar
• Rowland, C. A. (2014). The effect of testing versus restudy on retention: A meta-analytic review of the testing effect. Psychological Bulletin, 140(6), 1432–1463. https://doi.org/10.1037/a0037559
   PubMed Web of Science ®Google Scholar
• Russell, M. L., Escobar, M., Russell, J. A., Robertson, B. K., & Thomas, M. (2018). Promoting pathways to STEM careers for traditionally underrepresented graduate students. Negro Educational Review, 69(1–4), 5–143.
   Google Scholar
• Seymour, E., & Hewitt, N. M. (1997). Talking about leaving. Westview Press. [Database].
   Google Scholar
• Smith, B. L., Holliday, W. G., & Austin, H. W. (2010). Students’ comprehension of science textbooks using a question‐based reading strategy. Journal of Research in Science Teaching, 47(4), 363–379. https://doi.org/10.1002/tea.20378
   Web of Science ®Google Scholar
• Srinivasan, S., Gibbons, R. E., Murphy, K. L., & Raker, J. (2018). Flipped classroom use in chemistry education: Results from a survey of postsecondary faculty members. Chemistry Education Research and Practice, 19(4), 1307–1318. https://doi.org/10.1039/C8RP00094H
   Web of Science ®Google Scholar
• Stains, M., Harshman, J., Barker, M. K., Chasteen, S. V., Cole, R., DeChenne-Peters, S. E., Eagan, M. K., Esson, J. M., Knight, J. K., Laski, F. A., Levis-Fitzgerald, M., Lee, C. J., Lo, S. M., McDonnell, L. M., McKay, T. A., Michelotti, N., Musgrove, A., Palmer, M. S., Plank, K. M., … Young, A. M. (2018). Anatomy of STEM teaching in North American universities. Science, 359(6383), 1468–1470. https://doi.org/10.1126/science.aap8892
   PubMed Web of Science ®Google Scholar
• Strenta, A. C., Elliott, R., Adair, R., Matier, M., & Scott, J. (1994). Choosing and leaving science in highly selective institutions. Research in Higher Education, 35(5), 513–547. https://doi.org/10.1007/BF02497086
   Web of Science ®Google Scholar
• Theobald, E. J., Hill, M. J., Tran, E., Agrawal, S., Arroyo, E. N., Behling, S., Chambwe, N., Cintrón, D. L., Cooper, J. D., Dunster, G., Grummer, J. A., Hennessey, K., Hsiao, J., Iranon, N., Jones, L., II, Jordt, H., Keller, M., Lacey, M. E., Littlefield, C. E., Lowe, A., Newman, S., … Freeman, S. (2020). Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math. Proceedings of the National Academy of Sciences, 117(12), 6476–6483. https://doi.org/10.1073/pnas.1916903117
   PubMed Web of Science ®Google Scholar
• Weinstein, Y., Madan, C. R., & Sumeracki, M. A. (2018). Teaching the science of learning. Cognitive Research: principles and Implications, 3(1), 2. https://doi.org/10.1186/s41235-017-0087-y
   PubMedGoogle Scholar
• Wissman, K. T., Rawson, K. A., & Pyc, M. A. (2012). How and when do students use flashcards? Memory (Hove, England), 20(6), 568–579. https://doi.org/10.1080/09658211.2012.687052
   PubMed Web of Science ®Google Scholar
• Woodbury, S., & Gess-Newsome, J. (2002). Overcoming the paradox of change without difference: A model of change in the arena of fundamental school reform. Educational Policy, 16(5), 763–782. https://doi.org/10.1177/089590402237312
   Web of Science ®Google Scholar
• Zamary, A., & Rawson, K. A. (2018). Are provided examples or faded examples more effective for declarative concept learning? Educational Psychology Review, 30(3), 1167–1197. https://doi.org/10.1007/s10648-018-9433-y
   Web of Science ®Google Scholar