Baus CA, Lunsford D, Valdes KA. Factors impacting student success in a graduate neuroscience course. JOTE. Jan. 2021;5(3). https://doi.org/10.26681/jote.2021.050303.
Plack MM, Healey WE, Huhn K, Costello E, Maring J, Hilliard MJ. Navigating student challenges: from the lens of first-year doctor of physical therapy students. J Phys Ther Educ. 2022;36(1):76–86. https://doi.org/10.1097/JTE.0000000000000212.
McMeeken J, Grant R, Webb G, Krause K-L, Garnett R. Australian physiotherapy student intake is increasing and attrition remains lower than the university average: a demographic study. Aust J Physiother. 2008;54(1):65–71. https://doi.org/10.1016/s0004-9514(08)70068-0.
Ryan JM, Potier T, Sherwin A, Cassidy E. Identifying factors that predict attrition among first year physiotherapy students: a retrospective analysis. Physiotherapy. 2021;110:26–33. https://doi.org/10.1016/j.physio.2017.04.001.
Hamer J, et al. Contributing student pedagogy. SIGCSE Bull. Nov. 2008;40(4):194. https://doi.org/10.1145/1473195.1473242.
Singh L. Peerwise: flexible learning and the contributing student pedagogy. J Innov Ppsychology Educ Didactics. 2015;19(1):67–90.
McQueen HA, Shields C, Finnegan DJ, Higham J, Simmen MW. PeerWise provides significant academic benefits to biological science students across diverse learning tasks, but with minimal instructor intervention. Biochem Mol Biol Educ. 2014;42(5):371–81. https://doi.org/10.1002/bmb.20806.
Kay AE, Hardy J, Galloway RK. Student use of PeerWise: a multi-institutional, multidisciplinary evaluation. Br J Educ Technol. 2020;51(1):23–35. https://doi.org/10.1111/bjet.12754.
Denny P, Hamer J, Luxton-Reilly A, Purchase H. PeerWise: Students sharing their multiple choice questions, in Proceedings of the Fourth international Workshop on Computing Education Research, New York, NY, USA, Sep. 2008, pp. 51–58. https://doi.org/10.1145/1404520.1404526
Kelley MR, Chapman-Orr EK, Calkins S, Lemke RJ. Generation and retrieval practice effects in the classroom using peerwise. Teach Psychol. 2019;46(2):121–6. https://doi.org/10.1177/0098628319834174.
Howe PDL, Lodge JM, McKague M. A comparison of the effectiveness of two computer-based learning aids. Front Educ. 2018. https://doi.org/10.3389/feduc.2018.00051.
Pittenger AL, Lounsbery JL. Student-generated questions to assess learning in an online orientation to pharmacy course. Am J Pharm Educ. 2011;75(5):94. https://doi.org/10.5688/ajpe75594.
Hudson SL, Jarstfer MB, Persky AM. Student learning with generated and answered peer-written questions. Am J Pharm Educ. 2018;82(2):6315. https://doi.org/10.5688/ajpe6315.
Nguyen K-A, Lucas C, Leadbeatter D. Student generation and peer review of examination questions in the dental curriculum: enhancing student engagement and learning. Eur J Dent Educ. 2020;24(3):548–58. https://doi.org/10.1111/eje.12536.
Guilding C, Pye RE, Butler S, Atkinson M, Field E. Answering questions in a co-created formative exam question bank improves summative exam performance, while students perceive benefits from answering, authoring, and peer discussion: a mixed methods analysis of PeerWise. Pharmacol Res Perspect. 2021;9(4):e00833. https://doi.org/10.1002/prp2.833.
Smith CD, Dai A, Kenwright D, Grainger R. PeerWise and pathology: discontinuing a teaching innovation that did not achieve its potential. MedEdPublish. 2020;9(1). https://doi.org/10.15694/mep.2020.000027.1.
Posner L, Schoenfeld-Tacher R, Hedgpeth M-W, Royal K. Exploring the effects of authoring and answering peer-generated multiple-choice questions. Educ Health Prof. 2020;3(1):16. https://doi.org/10.4103/EHP.EHP_29_19.
Khashaba A. Evaluation of the effectiveness of online Peer-Based formative assessments (PeerWise) to enhance student learning in physiology: a systematic review using PRISMA guidelines. Nternational J Res Educ Sci. 2020;6(4):613–28.
Touissi Y, Hjiej G, Hajjioui A, Ibrahimi A, Fourtassi M. Does developing multiple-choice questions improve medical students’ learning? A systematic review. Med Educ Online. 2022;27(1):2005505. https://doi.org/10.1080/10872981.2021.2005505.
Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88. https://doi.org/10.1177/1049732305276687.
Lorah J. Effect size measures for multilevel models: definition, interpretation, and TIMSS example. Large-scale Assess Educ. 2018;6(1):8. https://doi.org/10.1186/s40536-018-0061-2.
Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. New Jersey, NJ: Lawrence Erlbaum Associates; 1988. p. 79–81.
Roediger HL, Butler AC. The critical role of retrieval practice in long-term retention. Trends Cogn Sci. 2011;15(1):20–7. https://doi.org/10.1016/j.tics.2010.09.003.
Pitt J, Huebner B. Retrieval practice improves exam performance as a function of review question number and format. J Phys Ther Educ. 2025;39(1):33–9. https://doi.org/10.1097/JTE.0000000000000352.
Bottomley S, Denny P. A participatory learning approach to biochemistry using student-authored and evaluated multiple-choice questions. Biochem Mol Biol Educ. 2011;39(5):352–61. https://doi.org/10.1002/bmb.20526.
Bittle K, El-Gayar O. Generative AI and academic integrity in higher education: a systematic review and research agenda. Information. 2025;16(4):296. https://doi.org/10.3390/info16040296.
Dekerlegand R, Bell A, Clancy MJ, Pletcher ER, Pollen T. Generative artificial intelligence in education: insights from rehabilitation sciences students. Educ Sci. 2025;15(3):380. https://doi.org/10.3390/educsci15030380.
Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol. 2000;55(1):68–78. https://doi.org/10.1037//0003-066X.55.1.68.
Coleman-Salgado B. The relationship of preadmission academic variables to academic performance in a Doctor of physical therapy program. J Allied Health. 2019;48(1):e9–14.
Whisner SM, Geddie M, Sechrist D, Wang E. Examination of potential factors to predict fieldwork performance: A program evaluation project. JOTE. Jan. 2019;3(1). https://doi.org/10.26681/jote.2019.030106.
Wolden M, Hill B, Voorhees S. Predicting success for student physical therapists on the National Physical Therapy Examination: systematic review and meta-analysis. Phys Ther. 2020;100(1):73–89. https://doi.org/10.1093/ptj/pzz145.
Kurowski-Burt AL, Woods S, Daily SM, Lilly CL, Scaife B, Davis D. Predicting student success on the national board for certification in occupational therapy® examination. Am J Occup Ther. 2020;74(4):7404345020p1–10. https://doi.org/10.5014/ajot.2020.037622.
Bayliss J, Thomas R, Eifert-Mangine M. Pilot study: what measures predict first time pass rate on the National physical therapy examination? IJAHSP. 2017. https://doi.org/10.46743/1540-580X/2017.1693.
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