Abstract
This study analyzes if motivation, academic self-concept, perception of the time perspective, self-regulation, and the attendance of specific online laboratory activities influence academic retention and achievement of two group of freshmen attending the first year of their Bachelor’s Degree. The freshmen were monitored along their first academic year. In particular, we try to understand which factors can help student to overcome the transition gap created by the passage from high school to university. The choice of the implementation of an online lab is due to evidence that online platforms are tools that can help to reduce the academic dropout. These platforms allowed students to use a supporting network, but, at the same time, students can autonomously take advantage of suitable materials to achieve their learning goals and to bridge an orientation gap. In Italy, this gap is often present in the transition between high school and university. In general, we can say that the experience of the online laboratory was positive and combined with the enhancement of motivation, academic self-concept, vision of the time perspective, and self-regulation can represent an important support above all for the Italian freshmen.
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References
Aina, C. (2013). Parental background and university dropout in Italy. Higher Education, 65(4), 437–456.
Allen, D. (1999). Desire to finish college: An empirical link between motivation and persistence. Research in Higher Education, 40, 461–485.
Byrne, M., Flood, B., & Griffin, J. (2014). Measuring the academic self-efficacy of first-year accounting students. Accounting Education, 23(5), 407–423.
Alivernini, F., & Lucidi, F. (2011). Relationship between social context, self-efficacy, motivation, academic achievement, and intention to drop out of high school: A longitudinal study. The Journal of Educational Research, 104(4), 241–252.
Venuleo, C., Mossi, P., & Salvatore, S. (2016). Educational subculture and dropping out in higher education: A longitudinal case study. Studies in Higher Education, 41(2), 321–342.
Turri, M. (2016). The difficult transition of the Italian university system: Growth, underfunding and reforms. Journal of Further and Higher Education, 40(1), 83–106.
Yorke, M., & Longden, B. (2008). The first-year experience of higher education in the UK. York: Higher Education Academy.
Clerici, R., Giraldo, A., & Meggiolaro, S. (2015). The determinants of academic outcomes in a competing risks approach: Evidence from Italy. Studies in Higher Education, 40(9), 1535–1549.
Brunner, M., Keller, U., Dierendonck, C., Reichert, M., Ugen, S., Fischbach, A., & Martin, R. (2010). The structure of academic self-concepts revisited: The nested Marsh/Shavelson model. Journal of Educational Psychology, 102(4), 964–981. https://doi.org/10.1037/a0019644
de Bilde, J., Vansteenkiste, M., & Lens, W. (2011). Understanding the association between future time perspective and self-regulated learning through the lens of self-determination theory. Learning and Instruction, 21(3), 332–344.
Lehmann, T., Hähnlein, I., & Ifenthaler, D. (2014). Cognitive, metacognitive and motivational perspectives on preflection in self-regulated online learning. Computers in Human Behavior, 32, 313–323.
Deci, E. L., & Ryan, R. M. (2002). Handbook of self-determination research. New York: University of Rochester Press.
Ormrod, J. (2008). Human learning. New Jersey: Pearson Education.
Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology, 49(3), 182–185. https://doi.org/10.1037/a0012801
Deci, E. L., & Ryan, R. M. (2012). Motivation, personality, and development within embedded social contexts: An overview of self-determination theory. In R. M. Ryan (Ed.), The Oxford handbook of human motivation (pp. 85–107). Oxford, England: Oxford University.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.
Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The academic motivation scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017.
Vallerand, R. J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. Advances in Experimental Social Psychology, 29, 271–360.
Grouzet, F. M., Otis, N., & Pelletier, L. (2006). Longitudinal cross-gender factorial invariance of the academic motivation scale. Structural Equation Modeling, 13(1), 73–98.
Walls, T. A., & Little, T. D. (2005). Relations among personal agency, motivation, and school adjustment in early adolescence. Journal of Educational Psychology, 97(1), 23–31.
Calsyn, R. J., & Kenny, D. A. (1977). Self-concept of ability and perceived evaluation of others: Cause or effect of academic achievement? Journal of Educational Psychology, 69(2), 136–143.
Marsh, H. W. (1990). A multidimensional, hierarchical self-concept: Theoretical and empirical justification. Educational Psychology Review, 2, 77–172.
Marsh, H. W., & Scalas, L. F. (2011). Self-concept in learning: Reciprocal effects model between academic self-concept and academic achievement. In S. Järvelä (Ed.), Social and emotional aspects of learning (pp. 191–198). Oxford, England: Academic Press.
Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1, 133–163.
Marsh, H. W. (2007). Self-concept theory, measurement and research into practice: The role of self-concept in educational psychology. Leicester, UK: British Psychological Society.
Marsh, H. W., & O’Mara, A. J. (2008). Reciprocal effects between academic self-concept, self-esteem, achievement, and attainment over seven adolescent years: Unidimensional and multidimensional perspectives of self-concept. Personality and Social Psychology Bulletin, 34, 542–552.
Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77(6), 1271–1288.
Leondari, A. (2007). Future time perspective, possible selves, and academic achievement. New Directions for Adult and Continuing Education, 114, 17–26.
Phan, H. P. (2009). Amalgamation of future time orientation, epistemological beliefs, achievement goals and study strategies: Empirical evidence established. British Journal of Educational Psychology, 79(1), 155–173.
Eilam, B., & Aharon, I. (2003). Students’ planning in the process of self-regulated learning. Contemporary Educational Psychology, 28(3), 304–334.
Zimmerman, B. J., & Martinez-Pons, M. (1988). Construct validation of a strategy model of student self-regulated learning. Journal of Educational Psychology, 80(3), 284–290.
Zimmerman, B. J., & Schunk, D. H. (Eds.). (2011). Handbook of self-regulation of learning and performance. New York: Taylor & Francis.
Ifenthaler, D. (2013). Cognitive, metacognitive and motivational perspectives on preflection in self-regulated online learning. Computers in Human Behavior, 72(2), 231–245.
Ifenthaler, D., & Lehmann, T. (2012). Preactional self-regulation as a tool for successful problem solving and learning. Technology, Instruction, Cognition and Learning, 9(1/2), 97–110.
Thillmann, H., Künsting, J., Wirth, J., & Leutner, D. (2009). Is it merely a question of “what” to prompt or also “when” to prompt? Zeitschrift für Pädagogische Psychologie, 23(2), 105–115.
Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: A perspective on assessment and intervention. Applied Psychology, 54(2), 199–231.
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., & Schunk, D. H. (Eds.). (2013). Self-regulated learning and academic achievement: Theoretical perspectives. London: Routledge.
Kosnin, A. M. (2007). Self-regulated learning and academic achievement in Malaysian undergraduates. International Education Journal, 8(1), 221–228.
Albanese, O., Businaro, N., Cacciamani, S., De Marco, B., Farina, E., Ferrini, T., & Vanin, L. (2010). Riflessione metacognitiva in ambienti online e autoregolazione nell’attività di studio nei corsi universitari. TD - Tecnologie Didattiche, 49(1), 50–61.
Flavell, J. (1979). Metacognition and cognitive monitoring: A new area of cognitive developmental inquiry. American Psychologist, 34, 906–911.
Ridley, D. S., Schutz, P. A., Glanz, R. S., & Weinstein, C. E. (1992). Self-regulated learning: The interactive influence of metacognitive awareness and goal-setting. The Journal of Experimental Education, 60(4), 293–306.
Ross, M. E., Green, S. B., Salisbury-Glennon, J. D., & Tollefson, N. (2006). College students’ study strategies as a function of testing: An investigation into metacognitive self-regulation. Innovative Higher Education, 30(5), 361–375.
Borkowski, J. G., Johnston, M. B., & Reid, M. K. (1986). Metacognition, motivation, and controlled performance. Handbook of Cognitive, Social, and Neuropsychological Aspects of Learning Disabilities, 2, 147–174.
Boekaerts, M. (1997). Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and Instruction, 7(2), 161–186.
Cobb, P., Confrey, J., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.
Mohamad, S. K., Tasir, Z., Harun, J., & Shukor, N. A. (2013). Pattern of reflection in learning authoring system through blogging. Computers e Education, 69, 356–368.
Antonietti, A., & Cantoia, M. (2001). Imparare con il computer. Trento: Erickson.
Dembo, M. H., & Seli, H. (2008). Motivation and learning strategies for college success. London: Routledge.
Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational Research, 31(6), 445–457.
Rosario, P., Nuñez Perez, J. C., & González-Pienda, J. A. (2004). Stories that show how to study and how to learn: An experience in the Portuguese school system. Electronic Journal of Research in Educational Psychology, 2(1), 131–144.
Azevedo, R., & Hadwin, A. F. (2005). Introduction to special issue: Scaffolding self-regulated learning and metacognition: Implications for the design of computer-based scaffolds. Instructional Science, 33, 367–379.
Giannetti, T. (2006). Autoregolazione dell’apprendimento e tecnologie didattiche. Tecnologie Didattiche, 37, 51–56.
Conati, C., & Vanlehn, K. (2000). Toward computer-based support of meta-cognitive skills: A computational framework to coach self-explanation. International Journal of Artificial Intelligence in Education (IJAIED), 11, 389–415.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70.
Brummernhenrich, B., & Jucks, R. (2013). Managing face threats and instructions in online tutoring. Journal of Educational Psychology, 105(2), 341–350.
Greene, J. A., & Azevedo, R. (2009). A macro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system. Contemporary Educational Psychology, 34(1), 18–29.
De Marco, B., & Albanese, O. (2010). 11. Le competenze autoregolative dell’attività di studio in comunità virtuali. QWERTY-Interdisciplinary Journal of Technology, Culture and Education, 4(2), 123–139.
D’Alessio, M., Guarino, A., De Pascalis, V., & Zimbardo, P. G. (2003). Testing Zimbardo’s Stanford time perspective inventory (STPI)-short form an Italian study. Time e Society, 12(2-3), 333–347.
Alivernini, F., & Lucidi, F. (2008). The academic motivation scale (AMS): Factorial structure, invariance and validity in the Italian context. Testing, Psychometrics, Methodology in Applied Psychology, 15(4), 211–220.
Marsh, H. W., & O’Neill, R. (1984). Self description questionnaire III: The construct validity of multidimensional self-concept ratings by late adolescents. Journal of Educational Measurement, 21(2), 153–174.
Shavelson, R. J., Hubner, J. J., & Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46(3), 407–441.
Moè, A., & De Beni, R. (2000). Strategie di autoregolazione e successo scolastico: Uno studio con ragazzi di scuola superiore e universitari (self-regulation strategies and academic achievement: A research with high school and college students). Psicologia dell’Educazione e della Formazione, 2, 31–44.
Ley, K., & Young, D. B. (1998). Self-regulation behaviors in underprepared (developmental) and regular admission college students. Contemporary Educational Psychology, 23(1), 42–64.
Mattana, V. (2014). L’e-tutor in Italia: Una rassegna della letteratura scientifica. Form@re, 14(1), 38–48.
Michinov, N., Brunot, S., Le Bohec, O., Juhel, J., & Delaval, M. (2011). Procrastination, participation, and performance in online learning environments. Computers & Education, 56(1), 243–252.
Rotta, M., & Ranieri, M. (2005). E-tutor: Identità e competenze. Un profilo professionale per l’e-learning. Trento: Erickson.
Dougiamas, M. (2004). Moodle: A virtual learning environment for the rest of us. TESL-EJ, 8(2), 1–8.
de Palo, V., Sinatra, M., Tanucci, G., & Monacis, L. (2012). Self-regulated strategies in an e-learning environment. Procedia - Social and Behavioral Sciences, 69, 492–501.
Grau-Valldosera, J., & Minguillón, J. (2014). Rethinking dropout in online higher education: The case of the Universitat Oberta de Catalunya. The International Review of Research in Open and Distributed Learning, 15(1).
Yukselturk, E., Ozekes, S., & Türel, Y. K. (2014). Predicting dropout student: An application of data mining methods in an online education program. European Journal of Open, Distance and E-learning, 17(1), 118–133.
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Mascia, M.L., Agus, M., Dettori, G., Zanetti, M.A., Pessa, E., Penna, M.P. (2018). Academic Retention in the Italian Context. In: Sampson, D., Ifenthaler, D., Spector, J., Isaías, P. (eds) Digital Technologies: Sustainable Innovations for Improving Teaching and Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-73417-0_11
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