McGill Alert / Alerte de McGill

Updated: Fri, 07/12/2024 - 12:16

McGill Alert. The downtown campus will remain partially closed through the evening of Monday, July 15. See the Campus Safety site for details.

Alerte de McGill. Le campus du centre-ville restera partiellement fermé jusqu’au lundi 15 juillet, en soirée. Complément d’information : Direction de la protection et de la prévention



Selected publications below. See Google Scholar.

(+ = supervisee)


Lau, C. H.-H.+, B.T. Ahn, +, Maurice-Ventouris, M.+, & Harley, J.M. (in press). Latent profiling students’ emotions towards media literacy and examining its relationship to media credibility. European Journal of Psychology of Education. DOI: 10.1007/s10212-024-00796-8.

Harley, J.M., & Pekrun, R. (2024). Managing Emotions in Education: The Emotion Regulation in Achievement Situations Model. In J.J. Gross, & B. Ford (Eds). Handbook of Emotion Regulation (3rd Edition) (pp. 536-544). Guilford Press (Taylor & Francis Group), New York, NY.

Tipwong, A.+, Hall, N.C., Snell, L., Chamnan, P., Moreno, M.+, & Harley, J.M. (2024). Clinical teaching self-efficacy positively predicts professional fulfillment and negatively predicts burnout amongst Thai physicians. BMC Medical Education, 2(24). 361-369. DOI: 10.1186/s12909-024-05325-1

Azher, S.,+ Mills, A.+, He, J.+, Hyjazie, T.+, Tokuno, J.+, Quaiattini, A., & Harley, J.M. (2024). Findings from Rapidly Evolving Research Field Favor Haptics for Surgical Education with Virtual Simulations: A Systematic Scoping Review. Journal of Surgical Innovation, 31(3), 331-341. DOI: 10.1177/15533506241238263

Botelho, F.+, Rangel, A.G., Harley, J.M., & Poenaru, D. (2024). Improving Pediatric Trauma Education by Teaching Non-Technical Skills: A Randomized Controlled Trial. Journal of Pediatric Surgery, 59 (5), 874-888. DOI: 10.1016/j.jpedsurg.2024.01.018

Mousavi, M., Harley, J.M., Cheung, J., & Abbasgholizadeh-Rahimi, S. (2024). Performance of ChatGPT in Certification Examination of College of Family Physicians of Canada. Family Medicine and Community Health Journal, 12(1), 1-8. DOI: 10.1136/fmch-2023-002626

Harley, J.M., Lou, N.M.+, Ahn, T.B.+, & Liu, Y.+ (2024). Improving queer history knowledge and perspective-taking toward LGBTQ+ people: There’s an app for that. Teaching & Teacher Education, 143, 104545. DOI: 10.1016/j.tate.2024.104545

Chopra, S., Harley, J. M., Keuhl, A., Bassilious, E., Sherbino, J., & Bilgic, E. (2024). Understanding Emotions Impacted by New Assessment Mandates Implemented in Medical Education: A Survey of Residents and Faculty Across Multiple Specialties. Cureus, 16(6), 1-14. DOI: 10.7759/cureus.62013

Ahn, B. T.+, Maurice-Ventouris, M.+, Bilgic, E.+, Yang, A.+, Lau, C. H.-H.+, Peters, H.+, Li, K.+, Chang-Ou, D.+, & Harley, J. (2023). A Scoping Review of Emotions, Stress, and Emotional Intelligence in Simulation Based Education. Advances in Simulation, 8(22), 1-21. DOI: 10.1186/s41077-023-00258-z

Harley, J.M., Bilgic, E.+, Lau, C.+, Gorgy, A.+, Marchand, H., Lajoie, S. P., Lavoie-Tremblay, M., & Fried, G. (2023). Nursing students reported more positive emotions about training during Coronavirus Disease 2019 (COVID-19) after using a virtual simulation paired with an in-person simulation. Clinical Nursing Simulation, 81, 1-14. DOI: 10.1016/j.ecns.2023.04.006

Harley, J.M., Hin-Hei Lau, C.+, Bilgic, E. +, Muller Moran, R.+, Fried, G.M., & Bhanji, F. (2023). Identifying Royal College-accredited simulation centre research priority directions across Canada. Canadian Medical Education Journal, 14(4) 89-93. DOI: 10.36834/cmej.73911

Azher, S.+, Cervantes, A., Marchionni, C., Grewal, K.+, Marchand, H., & Harley, J.M. (2023). Virtual Simulation in Nursing Education: Headset Virtual Reality and Screen-based Virtual Simulation Offer A Comparable Experience. Clinical Simulation in Nursing, 79, 61-74. DOI: 10.1016/j.ecns.2023.02.009

Bilgic, E.+, Turkdogon, S., & Harley, J.M. (2023). Entrustable professional activity assessments in surgery: Competing perspectives, practices, expectations, and future roles? Global Surgical Education, 2(22), 1-11. DOI: 10.1007/s44186-022-00099-w

Moran, H.R.M.+, Maurice-Ventouris, M.+, Alharbi, M.+, Ahn, T.B.+, Harley, J.M., & Lachapelle, K.J. (2023). Pan-Canadian initiative on fundamental competencies for transcatheter cardiac surgery: A modified Delphi consensus study. The Journal of Thoracic and Cardiovascular Surgery, 165(6), 2153-2161. DOI: 10.1016/j.jtcvs.2021.07.048

Harley, J.M., Bilgic, E.+, & Gorgry, A.+ (2023). Supporting health professions education with virtual simulations: The role of technical, educational, and affective factors in assessing opportunities and challenges. To appear in In C. Y. Leng Stefanie & C. B. Leng (Eds). Psychology and Pedagogy in Digital Education (pp. 197–209). Springer Nature, Switzerland. DOI: 10.1007/978-981-99-2107-2

Di Stasio, M., Alston, L., & Harley, J.M. (2023). A snapshot of Gay-Straight Alliance Clubs and Student Well-Being in Alberta Schools. Canadian Journal of School Psychology, 38(2) 144-158, DOI: 10.1177/08295735231170337

*Haldane, C.+, Lou, N. M.+, & Harley, J. M., (2023). Social-historical accounts of identity processes and resilience: Experiences of prominent elders of the LGBTQ+ community. Journal of Homosexuality, 70(3), 387-426.

*Botelho, F.+, Yanchar, N., Abib, S., Bank, I., Harley, J.M., & Poenaru, D. (2022). A debriefing tool to acquire non-technical skills in trauma courses. Surgery Open Science, 10, 228-231. DOI: 10.1016/j.sopen.2022.10.012

Antel, R. Abbasgholizadeh-Rahimi, S., Guadagno, E., Harley, J. M., & Poenaru, D. (2022). The use of artificial intelligence and virtual reality in doctor-patient risk communication: a scoping review. Patient Education and Counseling, 105(10), 3038-3050. DOI: 10.1016/j.pec.2022.06.006

Azevedo, R., Bouchet, F., Duffy, M., Harley, J., Taub, M., Trevors, G., Cloude, E., Dever, D., Wiedbusch, M., Wortha, F., & Cerezo, R. (2022). Lessons Learned and Future Directions of MetaTutor: Leveraging Multichannel Data to Scaffold Self-Regulated Learning with an Intelligent Tutoring System. Frontiers in Psychology, 13: 813632. DOI: 10.3389/fpsyg.2022.813632

Harley, J.M, Montreuil, T. C., Lou, N. M.+, Feldman, L.S., Fried, G.M., Lavoie-Tremblay, M., Bhanji, F., Kennedy, H. (2022). Rethinking how health care professionals cope with stress: A process model for COVID-19 and beyond. Health Care Management Review, 47(4), 350-359. DOI: 10.1097/HMR.0000000000000345

*Fazlollahi AM+, Bakhaidar M, Alsayegh A, Yilmaz R, Winkler-Schwartz A, Mirchi N, Langleben I, Ledwos N., Sabbagh, A., Bajunaid, A., Harley JM, & Del Maestro RF. (2022) Artificial Intelligence Tutoring Compared with Expert Instruction in Surgical Simulation Training: A Randomized Control Trial. JAMA Network Open, 5(2), e2149008-e2149008.

*Bilgic, E.,+ Gorgy, A.,+ Yang, A., Cwintal, M., Ranjbar, H., Kahla, K., Reddy, D., Li, K., Ozturk, H., Zimmermann, E., Quaiattini, A., Abbasgholizadeh-Rahimi, S., Poenaru, D., & Harley, J.M. (2022). Exploring the Roles of Artificial Intelligence in Surgical Education: A Scoping Review. The American Journal of Surgery, 224(1), 205-216. DOI:10.1016/j.amjsurg.2021.11.023

*Lou, N. M.+, Montreuil, T. C., Feldman, L., Fried, G., Lavoie-Tremblay, M., Bhanji, F., Kennedy, H., Kaneva, P., & Harley, J.M. (2022). Nurses’ and physicians’ distress, burnout, and coping strategies during COVID-19: Stress and impact on perceived performance and intentions to quit. Journal of Continuing Education in the Health Professions, 42(1), e44-e52. DOI: 10.1097/CEH.0000000000000365

*Moran, H.R.M.+, Maurice-Ventouris, M.+, Alharbi, M.+, Harley, J.M., & Lachapelle, K.J. (2022). A scoping review on the performance of transcatheter cardiac surgery. The Journal of Thoracic and Cardiovascular Surgery, 164(6), e457-e469. DOI: 10.1016/j.jtcvs.2020.11.096

*Lou, N. M.+, Montreuil, T. C., Feldman, L., Fried, G., Lavoie-Tremblay, M., Bhanji, F., Kennedy, H., Kaneva, P., Drouin, S., & Harley, J.M. (2021). Evaluations of healthcare providers’ perceived support from personal, hospital, and system resources: Implications for well-being and management in healthcare in Montreal, Quebec during COVID-19. Evaluation & the Health Professions. 44(3):319-322. DOI:10.1177/01632787211012742

Harley, J.M., Lou, N.M+., Liu, Y+., Cutumisu, M., Daniels, M., Leighton, J. P., & Nadon, L. (2021). University students’ negative emotions in a computer-based exam: The roles of trait test-emotion, prior test-taking methods, and gender. Assessment and Evaluation in Higher Education. 46(6), 956-972. DOI: 10.1080/02602938.2020.1836123

Maurice-Ventouris, M.+, Moran, H.R.M.+, Alharbi, M.+, Ahn, B.T.+, Harley, J.M., & Lachapelle, K.J. (2021). The Study of Visuospatial Abilities in Trainees: A Scoping Review and Proposed Model. Surgery Open Science, 5, 25-33. DOI: 10.1016/j.sopen.2021.05.001

Liu, Y.+, Hankey, J. Lou, N, M.+, Chokka, P., & Harley, J. M. (2021). Usability and emotions of mental health assessment tools: Comparing mobile app and paper-and-pencil modalities. Journal of Technology in Human Services, 39(2), 193-211. 10.1080/15228835.2021.1902457

Harley, J.M., Liu, Y+., Ahn, B.T+., Lajoie, S.P., & Grace, A.P. (2020). Examining physiological and self-report indicators of empathy during learners’ interaction with a queer history app, British Journal of Educational Technology, 51(6), 1920–1937. DOI: 10.1111/bjet.13019

Ahn, B.T+., & Harley, J.M (2020). Facial expressions when learning with a queer history app: application of the control value theory of achievement emotions. British Journal of Educational Technology, 51(5), 1563–1576.

Harley, J.M., Lajoie, S.P., Tressel, T., & Jarrell, A. (2020). Fostering positive emotions and history learning with location-based augmented reality and tour-guide prompts. Learning & Instruction, 70, 1-16. DOI: 10.1016/j.learninstruc.2018.09.001

Harley, J.M., Pekrun, R., Taxer, J.L., & Gross, J.J. (2019). Emotion regulation in achievement situations: An integrated model. Educational Psychologist, 54(2), 106-126. DOI: 10.1080/00461520.2019.1587297

Harley, J.M., Jarrell, A., & Lajoie, S.P. (2019). Emotion regulation tendencies, achievement emotions, and physiological arousal in a medical diagnostic reasoning simulation. Instructional Science, 47(2), 151-180. DOI: 10.1007/s11251-018-09480-z

Poitras, E. G., Harley, J.M., & Liu, Y+. (2019). Achievement emotions with location-based mobile augmented reality: an examination of discourse processes in simulated guided walking tours. British Journal of Educational Technology 50(6), 3345-3360. DOI:10.1111/bjet.12738

Harley, J.M., Liu, Y+., Ahn, T.B+., Lajoie, S.P., Grace, A.P., Haldane, C+., Whittaker, A., & McLaughlin, B. (2019). I’ve got this: Fostering topic and technology-related emotional engagement and queer history knowledge with a mobile app. Contemporary Educational Psychology, 59, 1-18. DOI: 10.1016/j.cedpsych.2019.101790

Harley, J.M., & Beaudin, D. (2019). Fake News and Dinosaurs: The Hunt for Truth Using Media Literacy. Victoria, Canada: Friesen Press.

Harley, J. M., Taub, M., Azevedo, R., & Bouchet, F. (2018). “Let’s set up some subgoals”: Understanding human-pedagogical agent collaborations and their implications for learning and prompt and feedback compliance. IEEE Transactions on Learning Technologies, 11(1), 54-66. DOI: 10.1109/TLT.2017.2756629

Bouchet, F., Harley, J.M., & Azevedo, R. (2018). Evaluating adaptive pedagogical agents’ prompting strategies effect on students’ emotions? In J. Vassileva, & R. Azevedo (Eds.) Lecture Notes in Computer Science: Vol. 10858. Intelligent Tutoring Systems (pp. 33-43). Switzerland: Springer.

Harley, J.M., Benlamine, S., Chaouachi., M., Frasson, C., Liu, Y., & Dufresne, A. (2018). Examining how typical gaming behavior influences emotions and achievement during gameplay. In J. Vassileva, & R. Azevedo (Eds.) Lecture Notes in Computer Science: Vol. 10858. Intelligent Tutoring Systems (pp. 438-441). Switzerland: Springer.

Jarrell, A., Harley, J.M., Lajoie, S.P., & Naismith, L. (2017). Success, failure and emotions: Examining the relationship between performance feedback and emotions in diagnostic reasoning. Educational Technology Research and Development, 65(5), 1263–1284. DOI: 10.1007/s11423-017-9521-6

Harley, J.M., Lajoie, S. P., Frasson, C., Hall, N.C., & (2017). Developing emotion-aware, advanced learning technologies: A taxonomy of approaches and features. International Journal of Artificial Intelligence in Education, 27(2), 268-297. DOI: 10.1007/s40593-016-0126-8

Jarrell, A., Harley, J.M., & Lajoie, S.P. (2016). The link between achievement emotions, appraisals and task performance: Pedagogical considerations for emotions in CBLEs. Journal of Computers in Education, 3(3), 289-307. DOI: 10.1007/s40692-016-0064-3.

Harley, J. M., Carter, C.K., Papaionnou, N., Bouchet, F., Azevedo, R., Landis, R. L., & Karabachian, L. (2016). Examining the predictive relationship between personality and emotion traits and students’ agent-directed emotions: Towards emotionally-adaptive agent-based learning environments. User Modeling and User-Adapted Interaction, 26, 177-219. DOI: 10.1007/s11257-016-9169-7.

Harley, J.M., Poitras, E. G., Jarrell, A., Duffy, M. C., & Lajoie, S. P. (2016). Comparing virtual and location-based augmented reality mobile learning: Emotions and learning outcomes. Educational Technology Research and Development, 64(3), 359-388. DOI: 10.1007/s11423-015-9420-7.

Bouchet, F., Harley, J.M., & Azevedo, R. (2016). Can adaptive pedagogical agents’ prompting strategies improve students’ learning and self-regulation? In A. Micarelli, J. Stamper, & K. Panourgia (Eds.) Lecture Notes in Computer Science: Vol. 9684. Intelligent Tutoring Systems (pp. 368-374). Switzerland: Springer.

Harley, J. M., Bouchet, F., Hussain, S., Azevedo, R., & Calvo, R. (2015). A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system. Computers in Human Behavior, 48, 615-625. DOI: 10.1016/j.chb.2015.02.013.

Harley, J. M. (2015). Measuring emotions: A survey of cutting-edge methodologies used in computer-based learning environment research. In S. Tettegah & M. Gartmeier (Eds.). Emotions, Technology, Design, and Learning (pp. 89-114). London, UK: Academic Press, Elsevier.

Jaques, N., Conati, C., Harley, J. M., & Azevedo, R. (2014). Predicting affect from gaze behavior data during interactions with an intelligent tutoring system. In S. Trausan-Matu., K. Boyer., M. Crosby., K. Panourgia (Eds.), Lecture Notes in Computer Science: Vol. 8474. Intelligent Tutoring Systems (pp. 29-38). Switzerland: Springer.

Azevedo, R., Harley, J., Trevors, G., Feyzi-Behnagh, R., Duffy, M., Bouchet, F., & Landis, R.S. (2013). Using trace data to examine the complex roles of cognitive, metacognitive, and emotional self-regulatory processes during learning with multi-agent systems. In R. Azevedo & V. Aleven (Eds.), International handbook of metacognition and learning technologies (pp. 427-449). Amsterdam, The Netherlands: Springer-Verlag.

Bouchet, F., Harley, J.M., Trevors, G., & Azevedo, R. (2013). Clustering and profiling students according to their interactions with an intelligent tutoring system fostering self-regulated learning. Journal of Educational Data Mining, 5(1), 104-146.

Bouchet, F., Harley, J. M., & Azevedo, R. (2013). The impact of different pedagogical agents’ adaptive self-regulated prompting strategies with MetaTutor. In C. H. Lane, K. Yacef, J. Mostow, P. Pavik (Eds.), Lecture Notes in Artificial Intelligence: Vol. 7926. Artificial Intelligence in Education (pp. 815-819). Berlin, Heidelberg: Springer-Verlag.

Bondareva, D., Conati, C., Feyzi-Behnagh, R., Harley, J., Azevedo, R., & Bouchet, F. (2013). Inferring learning from gaze data during interaction with an environment to support self-regulated learning. In C. H. Lane, K. Yacef, J. Mostow, P. Pavik (Eds.), Lecture Notes in Artificial Intelligence: Vol. 7926. Artificial Intelligence in Education (pp. 229-238). Berlin, Heidelberg: Springer-Verlag.

Harley, J. M., Bouchet, F., & Azevedo, R. (2013). Aligning and comparing data on learners’ emotions experienced with MetaTutor. In C. H. Lane, K. Yacef, J. Mostow, P. Pavik (Eds.), Lecture Notes in Artificial Intelligence: Vol. 7926. Artificial Intelligence in Education (pp. 61-70). Berlin, Heidelberg: Springer-Verlag.

Khosravifar, B., Bouchet, F., Feyzi-Behnagh, R., Azevedo, R., & Harley, J. (2013). Using intelligent multi-agent systems to model and foster self-regulated learning: a theoretically-based approach using Markov decision processes. In L. Barolli, F. Xhafa, M. Takizawa, T. Enokido, H.H. Hsu (Eds.), Proceedings of the 27th IEEE international conference on Advanced Information Networking and Applications (413-420). Los Alamitos, CA: Conference Publishing Services, IEEE.

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