Mohammed Haneefa, Manar (Forthcoming 2023). Artificial intelligence applications in self-regulated learning strategies among academically gifted high school students in Saudi Arabia : Do personality traits play a role? [Dataset]. Dryad.
https://doi.org/10.5061/dryad.p8cz8w9xh
Babakhani N. (2014). The relationship between the big-five model of personality, self-regulated learning strategies and academic performance of Islamic Azad University students. Procedia-Social and Behavioral Sciences, 116, 3542–3547. https://doi.org/10.1016/j.sbspro.2014.01.799
Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S.-L. (2009). Measuring self-regulation in online and blended learning environments.
The Internet and Higher Education, 12(1), 1–6.
http://dx.doi.org/10.1016/j.iheduc.2008.10.005
Bidjerano, T., & Dai, D. Y. (2007). The relationship between the big-five model of personality and self-regulated learning strategies.
Learning & Individual Differences, 17(1), 69-81.
https://doi.org/10.1016/j.lindif.2007.02.001
Bruso J., Stefaniak J., Bol L. (2020). An examination of personality traits as a predictor of the use of self-regulated learning strategies and considerations for online instruction.
Educational Technology Research and Development, 68(5), 2659–2683.
https://doi.org/10.1007/s11423-020-09797-y
Çelikkaleli, Öner ., Karababa, A. ., & Adıgüzel, A. . (2022). Direct and Indirect Relationships Between Dark Personality Traits and Loneliness Among Emerging Adults: The Mediating Role of Empathic Tendency .
Psycho-Educational Research Reviews,
11(1), 341–354.
https://doi.org/10.52963/PERR_Biruni_V11.N1.22
Costa P. T., McCrae R. R. (1992). NEO PI-R: Professional manual: Revised NEO PI-R and NEO-FFI. Psychological Assessment Resources.
Dörrenbächer, L., & Perels, F. (2016). Self-regulated learning profiles in college students: Their relationship to achievement, personality, and the effectiveness of an intervention to foster self-regulated learning. Learning & Individual Differences, 51, 229-241.
Eilam B., Zeidner, M., & Aharon, I. (2009). Student conscientiousness, self-regulated learning, and science achievement: An explorative field study. Psychology in the Schools, 46(5), 420-432.
Eissa, M. A. (2015). The Effectiveness of a Self Regulated Learning- Based Training Program on Improving Cognitive and Metacognitive EFL Reading Comprehension of 9th Graders with Reading Disabilities. Psycho-Educational Research Reviews, 4(3), 49 –. Retrieved from https://perrjournal.com/index.php/perrjournal/article/view/323
Geisler-Brenstein, E., Schmeck, R. R., & Hetherington, J. (1996). An individual difference perspective on student diversity. Higher Education, 31(1), 73-96.
Hogan, R. & Roberts, B. W. (2000). A socioanalytic perspective on person-environment interaction. In W. B. Walsh, K. H. Craik & R. H. Price (Eds.), Person-environment psychology: New directions and perspectives (2nd ed.), p. 1-23. Mahwah, NJ, US: Lawrence Erlbaum Associates Publishers.
Jin, S. (2021). Educational effects on the transparency of peer participation levels in asynchronous online discussion activities. IEEE Transactions on Learning Technologies, 14(5), 604–612.
Jivet, I., Scheffel, M., Schmitz, M., Robbers, S., Specht, M., & Drachsler, H. (2020). From students with love: An empirical study on learner goals, self-regulated learning, and sense-making of learning analytics in higher education. The Internet and Higher Education, 47, 100758.
Jones, A., & Castellano, G. (2018). Adaptive robotic tutors that support self-regulated learning: A longer-term investigation with primary school children. International Journal of Social Robotics, 10(3), 357–370.
Karaoglan Yilmaz, F. G., & Yilmaz, R. (2021). Learning analytics as a metacognitive tool to influence learner transactional distance and motivation in online learning environments. Innovations in Education and Teaching International, 58(5), 575–585.
John, O. P., & Srivastava, S. (1999). The Big-Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (Vol. 2, pp. 102–138). New York: Guilford Press.
Kader, F. A. H., & Eissa, M. A. (2015). Academic Procrastination and Five Factor Personality Traits among College Students. Psycho-Educational Research Reviews, 4(2), 10–15. Retrieved from https://perrjournal.com/index.php/perrjournal/article/view/326
Karlen Y, Hirt CN, Liska A and Stebner F (2021) Mindsets and Self-Concepts About Self-Regulated Learning: Their Relationships With Emotions, Strategy Knowledge, and Academic Achievement. Front. Psychol. 12:661142. doi: 10.3389/fpsyg.2021.661142
Lynch, R., & Dembo, M. (2004). The relationship between self-regulation and online learning in a blended learning context. International Review of Research in Open & Distance Learning, 5(2), 1-13.
Mirhashemi, M., & Goodarzi, H. (2014). Self-regulated learning strategies: The role of personal factors (motivational beliefs and Personality). Journal of Educational and Management Studies, 4(1), 152-161.
Molenaar, I. (2022). The concept of hybrid human-AI regulation: Exemplifying how to support young learners’ self-regulated learning. Computers and Education: Artificial Intelligence, 3, 100070.
Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. American Journal of Distance Education, 22(2), 72-89.
Raven, J., Raven, J. C., & Court, J. H. (1998). Manual for raven’s progressive matrices and vocabulary scales. Section 3, the standard progressive matrices. Oxford, England: Oxford Psychologists Press/San Antonio, TX: The Psychological Corporation.
Ravi, S. (2017). Yoga Learning and Practice: Perception by Athletes Participating in Competitive Sport. Psycho-Educational Research Reviews, 6(1), 81–85. Retrieved from https://perrjournal.com/index.php/perrjournal/article/view/287
Rosé, C. P., McLaughlin, E. A., Liu, R., & Koedinger, K. R. (2019). Explanatory learner models: Why machine learning (alone) is not the answer.
British Journal of Educational Technology, 50(6), 2943–2958.
https://doi.org/10.1111/bjet.12858
Rustagi ,M.& Goel,N.(2022). Predictive Analytics: A study of its Advantages and Applications IARS' International Research Journal, 12(1): 60-63
Sáez-Delgado, F.; López-Angulo, Y.; Mella-Norambuena, J.; Baeza-Sepúlveda, C.; Contreras-Saavedra, C.; Lozano-Peña, G. (2022)Teacher Self-Regulation and Its Relationship with Student Self-Regulation in Secondary Education. Sustainability , 14, 16863. https://doi.org/10.3390/su142416863
Şahin, M., & Tüfekçibaşı, S. (2021). Investigation of Body Perception and Personality Traits of Individuals According to Their Sporting Status.
Psycho-Educational Research Reviews,
10(2), 118–125.
https://doi.org/10.52963/PERR_Biruni_V10.N2.08
Schuster, C., Stebner, F., Leutner, D., and Wirth, J. (2020). Transfer of metacognitive skills in self-regulated learning: an experimental training study. Metacogn. Learn. 15, 455–477. doi: 10.1007/s11409-020-09237-5
Seo, K., Dodson, S., Harandi, N. M., Roberson, N., Fels, S., & Roll, I. (2021a). Active learning with online video: The impact of learning context on engagement. Computers & Education, 165, 104132.
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021b). The impact of artificial intelligence on learner-instructors in online learning. International Journal of Educational Technology in Higher Education, 18(1), 1–23.
Whipp, J. L., & Chiarelli, S. (2004). Self-regulation in a web-based course: A case study. Educational Technology Research and Development, 52(4), 5-21.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41 (2), 64-70.
Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45 (1), 166-183.
Zimmerman, B. J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48 (3), 135-147.
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