Abdelrahman, R. M. (2020). Metacognitive awareness and academic motivation and their impact on academic achievement of Ajman University students. Heliyon, 6(9), e04192. https://doi.org/10.1016/j.heliyon.2020.e04192
Asociación Médica Mundial (2017). Declaración de Helsinki de la AMM — principios éticos para las investigaciones médicas en seres humanos. https://www.wma.net/es/policies-post/declaracion-de-helsinki-de-la-amm-principios-eticos-para-las-investigaciones-medicas-en-seres-humanos/
Abe, J. (2020). Big five, linguistic styles, and successful online learning. The Internet and Higher Education. 45, 100724. https://doi.org/10.1016/j.iheduc.2019.100724
Alhajraf, N. M., & Alasfour, A. M. (2014). The impact of demographic and academic characteristics on academic performance. International Business Research, 7(4), 92. http://dx.doi.org/10.5539/ibr.v7n2p92
Alonso, C. M., Gallego, D. L., & Honey, P. (1995). Los estilos de aprendizaje: Procedimientos de diagnóstico y mejora. Ediciones Mensajero.
Altamirano-Droguett J.E., Araya-Crisóstomo S.P., & Contreras, M. P. (2019). Estilos de aprendizaje y rendimiento académico de estudiantes de la carrera de obstetricia. Rev Cienc Salud,17(2), 276–92. http://dx.doi.org/10.12804/revistas.urosario.edu.co/
Alhadabi, A., & Karpinski, A. C. (2020). Grit, self-efficacy, achievement orientation goals, and academic performance in University students. International Journal of Adolescence and Youth, 25(1), 519–535. https://doi.org/10.1080/02673843.2019.1679202
Afzaal, S., Siau, N. Z., & Suhali, W. S. H. (2019). Evaluating students’ personality and learning styles in higher education: Pedagogical considerations. International Journal of Learning, Teaching and Educational Research, 18(7), 145–164. https://doi.org/10.26803/ijlter.18.7.10
Arkorful, V., & Abaidoo, N. (2014) The Role of e-Learning, the Advantages and Disadvantages of Its Adoption in Higher Education. International Journal of Education and Research, 2, 397-410. https://www.ijern.com/journal/2014/December-2014/34.pdf
Aparicio, M., Bacao, F., & Oliveira, T. (2017). Full length article: Grit in the path to e-learning
success. Computers in Human Behavior, 66, 388–399.
https://doi.org/10.1016/j.chb.2016.10.009
Ato, M., López, J. J., & Benavente, A. (2013). A classification system for research designs in psychology. Anales de Psicologia, 29(3), 1038–1059.
https://doi.org/10.6018/analesps.29.3.178511
Awanga, H., Abd, N., Mohd, N., Roddin, R., & Kankia, J. (2017). Relations between the learning styles preferences and academic achiviement. International Research and Innovation Summit. https://doi:10.1088/1757-899X/226/1/012193
Bahamón, M., Vianchá, M. A., Alarcón, L., & Bohorquez Olaya, C. (2013). Estilos y estrategias de aprendizaje, relacionadas con el logro académico en estudiantes universitarios. Pensamiento psicológico, 11(1), 115–129.
https://www.redalyc.org/articulo.oa?id=80127000005
Barahona, P. (2014). Factores determinantes del rendimiento académico de los estudiantes de la Universidad de Atacama. Estudios pedagógicos (Valdivia), 40(1), 25–39. https://dx.doi.org/10.4067/S0718-07052014000100002
Blumen, S., Rivero, C. & Guerrero, D. (2011). Universitarios en educación a distancia: estilos de aprendizaje y rendimiento académico. Revista de Psicología. 29, 2, 225–243.
http://www.scielo.org.pe/pdf/psico/v29n2/a02v29n2.pdf
Breva, A., & Galindo, M. P. (2020). Types of motivation and eudemonic well-being as predictors of academic outcomes in first-year students: A self-determination theory approach. PsyCh Journal, 9(5), 609–628. https://doi.org/10.1002/pchj.361
Busato, V. V., Prins, F. J., Elshout, J. J., & Hamaker, C. (2000). Intellectual ability, learning style, personality, achievement motivation and academic success of psychology students in higher education. Personality and Individual differences, 29(6), 1057–1068.
https://doi.org/10.1016/S0191-8869(99)00253-6
Caprara, G.V., Barbaranelli, C., & Borgogni, L. (2007). Cuestionario “Big Five” BFQ. Tea Ediciones.
Choi, H. J., & Park, J. H. (2018). Testing a path-analytic model of adult dropout in online degree programs. Computers and Education, 116, 130–138.
https://doi.org/10.1016/j.compedu.2017.09.005
Cimermanová, I. (2018). The Effect of Learning Styles on Academic Achievement in Different Forms of Teaching. International Journal of Instruction, 11(3), 219-232.
https://doi.org/10.12973/iji.2018.11316a
Conard, M. A. (2006). Aptitude is not enough: How personality and behavior predict academic performance. Journal of Research in Personality, 40(3), 339–346.
https://doi.org/10.1016/j.jrp.2004.10.003
Costa, P. T., & McCrae, R. R. (1992). Four ways five factors are basic. Personality and Individual Differences, 13(6), 653–665. https://doi.org/10.1016/0191-8869(92)90236-I
De Raad, B., & Schouwenburg, H. C. (1996). Personality in learning and education: A review. European Journal of Personality, 10(5), 303–336. https://doi.org/10.1002/(SICI)1099-0984(199612)10:5<303::AID-PER262>3.0.CO;2-2
De Sousa Almeida, L., Taboada Ares, E. M., Rivas Torres, R. M., Iglesias Souto, P. M., & López Gómez, S. (2017). Rendimiento académico y variables sociodemográficas y académicas en la Educación Superior en Angola. Revista De Estudios E Investigación En Psicología Y Educación, (14), 112–116. https://doi.org/10.17979/reipe.2017.0.14.2511
Dunn, O. J. (1964). Multiple comparisons using rank sums. Technometrics, 6, 241-252. https://doi.org/10.1080/00401706.1964.10490181
Erazo Salcedo, G., Santos Pazos, D., Pilco Guadalupe, A., & Llanga Gavilánez, J. (2019). Análisis de validez y confiabilidad del test de personalidad Big Five en estudiantes universitarios de Ecuador. Revista PUCE, 119(3), 25–44. https://doi.org/10.26807/revpuce.v0i109.244
Erten, I. H. (2014). Interaction between Academic Motivation and Student Teachers’ Academic Achievement. Procedia - Social and Behavioral Sciences, 152, 173–178. https://doi.org/10.1016/j.sbspro.2014.09.176
Esguerra Pérez, G., & Guerrero Ospina P. (2010). Estilos de aprendizaje y rendimiento académico en estudiantes de psicología. Diversitas Perspectivas Psicológicas, 6(1), 97–109. http://www.scielo.org.co/pdf/dpp/v6n1/v6n1a08.pdf
Freiberg, A. & Fernández, M. (2013). Cuestionario Honey-Alonso de Estilos de Aprendizaje: Análisis de sus propiedades psicométricas en estudiantes universitarios. Summa psicológica UST, 10(1), 103-117. https://dialnet.unirioja.es/servlet/articulo?codigo=4421517
Gatzka, T. (2021). Aspects of openness as predictors of academic achievement. Personality and Individual Differences, 170(September 2020), 110422.
https://doi.org/10.1016/j.paid.2020.110422
Hanafi, Z., & Noor, F. (2016). Relationship between emotional intelligence and academic achievement in emerging adults: A systematic review. International Journal of Academic Research in Business and Social Sciences, 6(6), 268–290.
https://doi.org/10.6007/IJARBSS/v6-i6/2197
Hodge, A. (2017). The 6th international conference on self-determination theory: A review and
emerging themes. Sport & Exercise Psychology Review, 13(1), 94–96.
Honey, P., & Mumford, A. (1986). The Manual of Learning Styles. Maidenhead, Berkshire.
Hinojo, F., Aznar, I., Romero, J., & Marín, J. (2019). Influencia del aula invertida en el rendimiento académico. Una revisión sistemática. Revista campus virtuales. 8(1), 9–18. http://uajournals.com/ojs/index.php/campusvirtuales/article/view/384
Institute of Education Sciences. (2017). The condition of education 2017 (Publication No.
NCES2017144). https://nces.ed.gov/pubs2017/2017144.pdf
Jahangard, H., Lesani, M., & Motahhari, H. (2017). Prediction of Educational Achievement Based on Learning Styles Mediated by Academic Self-Efficacy: A Case Study on the Students of Medical Professionals in Kerman University of Medical Sciences, Iran. SDMEJ, 14(1), 1–10. https://doi.org/10.5812/sdme.57812
Jeno, L., Grytnes, J., & Vandvik, V. (2017). The effect of a mobile-application tool on biology students’ motivation and achievement in species identification: A Self-Determination Theory perspective. Computers & Education, 107, 1–12.
https://doi.org/10.1016/j.compedu.2016.12.011
Johnson, G. M. (2015). On-Campus and fully-online university students: Comparing demographics, digital technology use and learning characteristics. Journal of University Teaching & Learning Practice, 12(1). 1-13. https://ro.uow.edu.au/jutlp/vol12/iss1/4
Kauffman, H. (2015). A review of predictive factors of student success in and satisfaction with online learning: Association for learning technology journal. Research in Learning Technology, 23, 26507. https://doi.org/10.3402/rlt.v23.26507
Kumari, B. (2014). The correlation of Personality Traits and Academic performance: A review of literature. Journal of Humanities and Social Science, 19(4), 15–18.
https://doi.org/10.9790/0837-19471518
Kocak,O. Goksu, I, Goktas, Y. (2021). The factors affecting academic achievement: a systematic review of meta analyses. International Online Journal of Education and Teaching (IOJET), 8(1). 454-484.
Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Personality and individual differences, 51(4), 472–477. https://doi.org/10.1016/j.paid.2011.04.019
Lui, H. P. B. (2020). An investigation of the relationship between personality traits and academic performance (Unpublished doctoral dissertation. Hong Kong Shue Yan University). http://hdl.handle.net/20.500.11861/5928
Martey, E. M., & Aborakwa-Larbi, K. (2016). Assessing the impact of personality traits on academic performance: evidence from tertiary students in Ghana. Int J Res Engr IT Soc Sci, 6(3), 1-17. http://www.indusedu.org/pdfs/IJREISS/IJREISS_442_53047.pdf
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. US Department of Education. https://eric.ed.gov/?id=ED505824
Mengual-Andrés, S., López Belmonte, J., Fuentes Cabrera, A., & Pozo Sánchez, S. (2020). Modelo estructural de factores extrínsecos influyentes en el flipped learning. Educación XX1, 23(1), 75–101. https://doi.org/10.5944/educXX1.23840
Nye, C. D., Butt, S. M., Bradburn, J., & Prasad, J. (2018). Interests as predictors of performance: An omitted and underappreciated variable. Journal of Vocational Behavior, 108, 178–189. https://doi.org/10.1016/j.jvb.2018.08.003
Ortagus, J. C. (2017). From the periphery to prominence: An examination of the changing profile of online students in American higher education. The Internet and Higher Education, 32, 47–57. https://doi.org/10.1016/J.IHEDUC.2016.09.002
Pantoja, A. & Alcaide, M. (2013). La variable género y su relación con el autoconcepto y el rendimiento académico de alumnado universitario. Revista científica electrónica de Educación y Comunicación en la Sociedad del Conocimiento, 13(1), 124-140. http://eticanet.org/revista/index.php/eticanet/article/view/23
Pérez-Contreras, B., González-Otero, K., & Polo-Bolaño, Y. (2018). Perfil sociodemográfíco y económico de estudiantes universitarios. Búsqueda, 5(20), 48–62.
https://doi.org/10.21892/01239813.391
Pornsakulvanich, V., Dumrongsiri, N., Sajampun, P., Sornsri, S., John, SP, Sriyabhand, T., ... y Jiradilok, S. (2012). An analysis of personality traits and learning styles as predictors of academic performance. Revista Abac , 32 (3), 1–19. http://www.assumptionjournal.au.edu/index.php/abacjournal/article/view/117
Pugh, C. (2019). Self-determination: Motivation profiles of bachelor’s degree-seeking students at an online, for-profit university. Online Learning Journal, 23(1), 111–131. https://doi.org/10.24059/olj.v23i1.1422
Quesada, R. (2006). Evaluación del aprendizaje en educación a distancia. Revista de Educación a distancia, 4, 2–15. https://www.um.es/ead/red/M6/quesada.pdf
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students’ academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838
Río, C., Castaño, R., Martín, M. & Flores, N. (2018). Rendimiento académico en educación superior y su asociación con la participación activa en la plataforma Moodle. Estudios sobre educación. 34, 177–198. https://doi.org/10.15581/004.34.177-198
Sánchez-Gelabert, A., Valente, R. & Duart, J. (2020). Profiles of Online Students and the Impact of Their University Experience. International Review of Research in Open and Distributed Learning, 21,(3), 230–249. https://doi.org/10.19173/irrodl.v21i3.4784
Sarbazvatan, H., Amini, A., Aminisani, N., Shamshirgaran, S., & Ghaffarifar, S. (2018). Learning style and academic achievement among students at Tabriz University of Medical Sciences, Iran. Research and Development in Medical Education, 7(2), 77–81.
https://doi.org/10.15171/rdme.2018.016
Şahin, E., Çekin, R., & Yazıcılar Özçelik, İ. (2018). Predictors of academic achievement among physical education and sports undergraduate students. Sports, 6(1), 8. https://doi.org/10.3390/sports6010008
Schneider, M., & Preckel, F. (2017). Variables associated with achievement in higher education: A systematic review of meta-analyses. Psychological Bulletin, 143(6), 565–600. https://doi.org/10.1037/bul0000098
Schermelleh-Engel K, Moosbrugger H, Müller H. (2003). Evaluating the fit of Structural Equation Models: Tests of significance and descriptive goodness-of-fit measures. Methods Psychol Res Online,8(2), 23-74. https://www.scielosp.org/article/rpsp/2008.v23n2/101-108/es/
Shirazi, F., & Heidari, S. (2019). The relationship between critical thinking skills and learning styles and academic achievement of nursing students. The Journal of Nursing Research, 27(4), e38. https://doi.org/10.1097/jnr.0000000000000307
Siddiquei, N., & Khalid, R. (2018). The relationship between personality traits, learning styles and academic performance of e-learners. Open Praxis, 10(3), 249–263.
https://doi.org/10.5944/openpraxis.10.3.870
Stajkovic, A. D., Bandura, A., Locke, E. A., Lee, D., & Sergent, K. (2018). Test of three conceptual models of influence of the big five personality traits and self-efficacy on academic performance: A meta-analytic path-analysis. Personality and individual differences, 120, 238–245. https://doi.org/10.1016/j.paid.2017.08.014
Stover, J., Iglesia, G., Boubeta, A., & Liporace, M. (2012). Academic motivation scale: Adaptation and psychometric analyses for high school and college students. Psychology Research and Behavior Management, 5, 71–83. https://doi.org/10.2147/PRBM.S33188
Strobel, A., Behnke, A., Gärtner, A., & Strobel, A. (2019). The interplay of intelligence and need for cognition in predicting school grades: A retrospective study. Personality and Individual Differences, 144, 147–152. https://doi.org/10.1016/j.paid.2019.02.041
Teo, T., Tsai, L. T., & Yang, C. C. (2013). Applying Structural Equation Modeling (SEM) in Educational Research BT - Application of Structural Equation Modeling in Educational Research and Practice, (M. S. Khine (ed.); pp. 3–21). SensePublishers.
https://doi.org/10.1007/978-94-6209-332-4_1
Trapmann, S., Hell, B., Hirn, J. O. W., & Schuler, H. (2007). Meta-analysis of the relationship between the Big Five and academic success at university. Journal of Psychology, 215(2), 132–151. https://doi.org/10.1027/0044-3409.215.2.132
Torrecilla, E., Olmos, S. & Martinez, F. (2019). Explanatory factors as predictors of academic achievement in PISA tests. An analysis of the moderating effect of gender. International Journal of Educational Research, 96, 111-119. https://doi.org/10.1016/j.ijer.2019.06.002
Van der Zanden, P. J., Denessen, E., Cillessen, A. H., & Meijer, P. C. (2018). Domains and predictors of first-year student success: A systematic review. Educational Research Review, 23, 57–77. https://doi.org/10.1016/j.edurev.2018.01.001
Vella, E. J., Turesky, E. F., & Hebert, J. (2016). Predictors of Academic Success in Web-Based Courses: Age, GPA, and Instruction Mode. Quality Assurance in Education, 24(4), 586–600. http://dx.doi.org/10.1108/QAE-08-2015-0035
Vallerand, R., Pelletier, L., Blais, M., Briere, N., Senecal, C., & Vallieres, E. (1992). The Academic Motivation Scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017.
https://doi.org/10.1177/0013164492052004025
Ventura-León, J. L., & Caycho-Rodríguez, T. (2017). El coeficiente Omega: un método alternativo para la estimación de la confiabilidad. Revista Latinoamericana de Ciencias Sociales, Niñez y Juventud, 15(1), 625–627. https://www.redalyc.org/articulo.oa?id=77349627039
Viladrich, C., Angulo-Brunet, A., & Doval, E. (2017). A journey around alpha and omega to estimate internal consistency reliability. Anales de Psicologia, 33(3), 755–782. https://doi.org/10.6018/analesps.33.3.268401
Villamizar, G. & Romero, L. (2011). Relación entre variables psicosociales y rendimiento académico em estudiantes de primer semestre de psicología. Revista Educación y Desarrollo Social. 1, 41–54. https://doi.org/10.18359/reds.891
Yilmaz-Soylu, M., & Akkoyunlu, B. (2009). The Effect of Learning Styles on Achievement in Different Learning Environments. Turkish Online Journal of Educational Technology-TOJET, 8(4), 43–50. https://eric.ed.gov/?id=EJ859496
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