References
- Dweck CS. Motivational processes affecting learning. Am Psychol. 1986;41(10):1040–1048. doi:https://doi.org/10.1037/0003-066X.41.10.1040.
- Bandura A. Social cognitive theory of personality. Handb Personal. 1999;2:154–196.
- VandeWalle D. Development and validation of a work domain goal orientation instrument. Educ Psychol Meas. 1997;57(6):995–1015. doi:https://doi.org/10.1177/0013164497057006009.
- Pintrich PR, Conley AM, Kempler TM. Current issues in achievement goal theory and research. Int J Educ Res. 2003;39(4-5):319–337. doi:https://doi.org/10.1016/j.ijer.2004.06.002.
- Brett JF, VandeWalle D. Goal orientation and goal content as predictors of performance in a training program. J Appl Psychol. 1999;84(6):863–873. doi:https://doi.org/10.1037/0021-9010.84.6.863.
- Klein HJ, Noe RA, Wang C. Motivation to learn and course outcomes: the impact of delivery mode, learning goal orientation, and perceived barriers and enablers. Pers Psychol. 2006;59(3):665–702. doi:https://doi.org/10.1111/j.1744-6570.2006.00050.x.
- Elliot AJ, McGregor HA. A 2 × 2 achievement goal framework. J Pers Soc Psychol. 2001;80(3):501–519. doi:https://doi.org/10.1037/0022-3514.80.3.501.
- Vandewalle D, Nerstad CG, Dysvik A. Goal orientation: a review of the miles traveled and the miles to go. Annu Rev Organ Psychol Organ Behav. 2019;6(1):115–144. doi:https://doi.org/10.1146/annurev-orgpsych-041015-062547.
- Anderman EM, Austin CC, Johnson DM. The development of goal orientation. In: Development of Achievement Motivation. San Diego, CA: Academic Press, 2002:197–220.
- Bobko P, Coella A. Employee reactions to performance standards: a review of related literatures and an identification of research needs. Pers Psychol. 1994;47(1):1–30. doi:https://doi.org/10.1111/j.1744-6570.1994.tb02407.x.
- VandeWalle D, Cron WL, Slocum JW. Jr. The role of goal orientation following performance feedback. J Appl Psychol. 2001;86(4):629–640. doi:https://doi.org/10.1037/0021-9010.86.4.629.
- VandeWalle D. A goal orientation model of feedback-seeking behavior. Hum Resour Manag Rev. 2003;13(4):581–604. doi:https://doi.org/10.1016/j.hrmr.2003.11.004.
- Schumacher DJ, Englander R, Carraccio C. Developing the master learner: applying learning theory to the learner, the teacher, and the learning environment. Acad Med. 2013;88(11):1635–1645. doi:https://doi.org/10.1097/ACM.0b013e3182a6e8f8.
- Maudsley RF. Role models and the learning environment: essential elements in effective medical education. Acad Med. 2001;76(5):432–434. doi:https://doi.org/10.1097/00001888-200105000-00011.
- Gruppen L, Irby DM, Durning SJ, Maggio LA. Interventions designed to improve the learning environment in the health professions: a scoping review. MedEdPublish. 2018;7(3). doi:https://doi.org/10.15694/mep.2018.0000211.1.
- Nordquist J, Hall J, Caverzagie K, et al. The clinical learning environment. Med Teach. 2019;41(4):366–372. doi:https://doi.org/10.1080/0142159X.2019.1566601.
- Dyrbye LN, Thomas MR, Harper W, et al. The learning environment and medical student burnout: a multicentre study. Med Educ. 2009;43(3):274–282. doi:https://doi.org/10.1111/j.1365-2923.2008.03282.x.
- Dunham L, Dekhtyar M, Gruener G, et al. Medical student perceptions of the learning environment in medical school change as students transition to clinical training in undergraduate medical school. Teach Learn Med. 2017;29(4):383–391. doi:https://doi.org/10.1080/10401334.2017.1297712.
- Bullock JL, Lai CJ, Lockspeiser T, et al. In pursuit of Honors: a multi-institutional study of students’ perceptions of clerkship evaluation and grading. Acad Med. 2019;94(11S):S48–S56. doi:https://doi.org/10.1097/ACM.0000000000002905.
- Spring L, Robillard D, Gehlbach L, Moore Simas TA. Impact of pass/fail grading on medical students’ well‐being and academic outcomes. Med Educ. 2011;45(9):867–877. doi:https://doi.org/10.1111/j.1365-2923.2011.03989.x.
- Artino AR, JrLa Rochelle JS, Dezee KJ, Gehlbach H. Developing questionnaires for educational research: AMEE Guide No. 87. Med Teach. 2014;36(6):463–474. doi:https://doi.org/10.3109/0142159X.2014.889814.
- Colbert CY, French JC, Herring ME, Dannefer EF. Fairness: the hidden challenge for competency-based postgraduate medical education programs. Perspect Med Educ. 2017;6(5):347–355. doi:https://doi.org/10.1007/s40037-017-0359-8.
- Midgley C, Maehr ML, Hruda LZ, et al. Manual for the patterns of adaptive learning scales. Ann Arbor Univ Mich. 2000;40–57.
- Dweck CS, Leggett EL. A social-cognitive approach to motivation and personality. Psychol Rev. 1988;95(2):256–273. doi:https://doi.org/10.1037/0033-295X.95.2.256.
- Magidson J, Vermunt J. Latent class models for clustering: a comparison with K-means. Can J Mark Res. 2002;20(1):36–43.
- Muthén B, Muthén LK. Integrating person‐centered and variable‐centered analyses: Growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res. 2000;24(6):882–891.
- Akaike H. Factor analysis and AIC. In: Parzen E., Tanabe K., Kitagawa G. (eds), Selected Papers of Hirotugu Akaike. Springer Series in Statistics (Perspectives in Statistics). New York, NY: Springer. 1987:371–386.
- Schwarz G. Estimating the dimension of a model. Ann Stat. 1978;6(2):461–464.
- Boscardin CK, Muthén B, Francis DJ, Baker EL. Early identification of reading difficulties using heterogeneous developmental trajectories. J Educ Psychol. 2008;100(1):192–208. doi:https://doi.org/10.1037/0022-0663.100.1.192.
- Nylund KL, Asparouhov T, Muthén BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Model Multidiscip J. 2007;14(4):535–569. doi:https://doi.org/10.1080/10705510701575396.
- Cohen J. Statistical Power Analysis for the Behavioral Sciences. Academic press; 2013.
- Muthen LK, Muthen BO. Mplus [computer software]. Los Angeles, CA: Muthén & Muthén; 1998.
- Hafler JP, Ownby AR, Thompson BM, et al. Decoding the learning environment of medical education: a hidden curriculum perspective for faculty development. Acad Med. 2011;86(4):440–444. doi:https://doi.org/10.1097/ACM.0b013e31820df8e2.
- Aultman JM. Uncovering the hidden medical curriculum through a pedagogy of discomfort. Adv Health Sci Educ Theory Pract. 2005;10(3):263–273. doi:https://doi.org/10.1007/s10459-004-4455-2.
- Van Der Vleuten CP, Schuwirth LW. Assessing professional competence: from methods to programmes. Med Educ. 2005;39(3):309–317. doi:https://doi.org/10.1111/j.1365-2929.2005.02094.x.
- Hauer KE, O’Sullivan PS, Fitzhenry K, Boscardin C. Translating theory into practice: implementing a program of assessment. Acad Med. 2018;93(3):444–450. doi:https://doi.org/10.1097/ACM.0000000000001995.
- Linnenbrink EA, Pintrich PR. Multiple pathways to learning and achievement: The role of goal orientation in fostering adaptive motivation, affect, and cognition. In: Sansone C., and Harackiewicz JM. eds. Intrinsic and Extrinsic Motivation: The Search for Optimal Motivation and Performance. San Diego: Academic Press; 2000:195–227.
- Geitz G, Joosten-ten Brinke D, Kirschner PA. Changing learning behaviour: self-efficacy and goal orientation in PBL groups in higher education. Int J Educ Res. 2016;75:146–158. doi:https://doi.org/10.1016/j.ijer.2015.11.001.
- LaDonna KA, Hatala R, Lingard L, Voyer S, Watling C. Staging a performance: learners’ perceptions about direct observation during residency. Med Educ. 2017;51(5):498–510. doi:https://doi.org/10.1111/medu.13232.
- Scott IM. Beyond ‘driving’: the relationship between assessment, performance and learning. Med Educ. 2020;54(1):54–59. doi:https://doi.org/10.1111/medu.13935.
- Kusurkar RA, Croiset G, Ten Cate OTJ. Twelve tips to stimulate intrinsic motivation in students through autonomy-supportive classroom teaching derived from self-determination theory. Med Teach. 2011;33(12):978–982. doi:https://doi.org/10.3109/0142159X.2011.599896.
- Deci EL, Ryan RM. Optimizing students’ motivation in the era of testing and pressure: A self-determination theory perspective. In: Wang J, Liu CW, Ryan RM eds. Building Autonomous Learners:Research and Practical Perspectives using Self-Determination Theory. Singapore: Springer; 2016:9–29.
- Stefanou CR, Perencevich KC, DiCintio M, Turner JC. Supporting autonomy in the classroom: Ways teachers encourage student decision making and ownership. Educ Psychol. 2004;39(2):97–110. doi:https://doi.org/10.1207/s15326985ep3902_2.
- van Houten-Schat MA, Berkhout JJ, van Dijk N, Endedijk MD, Jaarsma ADC, Diemers AD. Self‐regulated learning in the clinical context: a systematic review. Med Educ. 2018;52(10):1008–1015. doi:https://doi.org/10.1111/medu.13615.
- Furrer C, Skinner E. Sense of relatedness as a factor in children’s academic engagement and performance. J Educ Psychol. 2003;95(1):148–162. doi:https://doi.org/10.1037/0022-0663.95.1.148.
- Schmidt A, Dirk J, Schmiedek F. The importance of peer relatedness at school for affective well‐being in children: Between‐and within‐person associations. Soc Dev. 2019;28(4):873–892. doi:https://doi.org/10.1111/sode.12379.
- Baumeister RF, Leary MR. The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychol Bull. 1995;117(3):497–529. doi:https://doi.org/10.1037/0033-2909.117.3.497.
- Sadler DR. Formative assessment and the design of instructional systems. Instr Sci. 1989;18(2):119–144. doi:https://doi.org/10.1007/BF00117714.
- Watling CJ, Ginsburg S. Assessment, feedback and the alchemy of learning. Med Educ. 2019;53(1):76–85. doi:https://doi.org/10.1111/medu.13645.
- Clark I. Formative assessment: assessment is for self-regulated learning. Educ Psychol Rev. 2012;24(2):205–249. doi:https://doi.org/10.1007/s10648-011-9191-6.
- Sargeant J, Mann K, van der Vleuten C, Metsemakers J. “Directed” self‐assessment: practice and feedback within a social context. J Contin Educ Health Prof. 2008;28(1):47–54. doi:https://doi.org/10.1002/chp.155.
- Voyer S, Cuncic C, Butler DL, MacNeil K, Watling C, Hatala R. Investigating conditions for meaningful feedback in the context of an evidence‐based feedback programme. Med Educ. 2016;50(9):943–954. doi:https://doi.org/10.1111/medu.13067.
- Bing-You R, Hayes V, Varaklis K, Trowbridge R, Kemp H, McKelvy D. Feedback for learners in medical education: what is known? A scoping review. Acad Med J Assoc Am Med Coll. 2017;92(9):1346–1354. doi:https://doi.org/10.1097/ACM.0000000000001578.
- Irby DM, O’Brien BC, Stenfors T, Palmgren PJ. Selecting Instruments for measuring the clinical learning environment of medical education: a four-domain framework. Acad Med J Assoc Am Med Coll. 2020.
- Hair JF, Anderson RE, Tatham RL, Black WC. Multivariate Data Analysis (5th ed). Upper Saddle River, NJ: Prentice Hall. 1998.