Effects of active learning methodologies on the students’ emotions, self-efficacy beliefs and learning outcomes in a science distance learning course

  1. Jin Su Jeong 1
  2. David González-Gómez 2
  3. Florentina Cañada-Cañada 2
  4. Alejandrina Gallego-Picó 3
  5. Juan Carlos Bravo 3
  1. 1 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

  2. 2 Universidad de Extremadura
    info

    Universidad de Extremadura

    Badajoz, España

    ROR https://ror.org/0174shg90

  3. 3 Universidad Nacional de Educación a Distancia
    info

    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

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Zeitschrift:
JOTSE

ISSN: 2013-6374

Datum der Publikation: 2019

Ausgabe: 9

Nummer: 2

Seiten: 217-227

Art: Artikel

DOI: 10.3926/JOTSE.530 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Andere Publikationen in: JOTSE

Ziele für nachhaltige Entwicklung

Zusammenfassung

Distance education programs in higher education are gaining popularity mostly due to the flexibility of the formative programs to fit all the requirements that brick-and-mortar educational institutions are not able to provide to students. However, quite often these distance programs report feelings of isolation, lack of self-direction and management, and eventual decrease in motivation levels. Thus, the main aim of this research is to assess the effect of following an active learning methodology on the students’ emotions, self-efficacy beliefs and learning outcomes in the context of a distance learning program in an Atmospheric Pollution course. According to the results, the use of these methodologies not only had a significant promotion in the positive emotions and self-efficacy beliefs, but also positive impact in the students’ learning outcomes. The results obtained in this research demonstrate that following an appropriate learning methodology in a distance program could contribute to reduce the main handicaps of these programs.

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Informationen zur Finanzierung

This work was financed by Research Project EDU2016-77007-R (AEI/FEDER, UE) of the Ministry of Economy and Competitiveness of Spain

Geldgeber

Bibliographische Referenzen

  • Abar, B., & Loken, E. (2010). Self-regulated learning and self-directed study in a pre-college sample. Learning and Individual Differences, 20, 25-29. https://doi.org/10.1016/j.lindif.2009.09.002
  • Abrahams, I. (2009). Does practical work really motivate? A study of the affective value of practical work in secondary school science. International Journal of Science Education, 31(17), 2335-2353. https://doi.org/10.1080/09500690802342836
  • Ali, A., & Smith, D. (2015). Comparing social isolation effects on students’ attrition in online versus face to-face courses in computer literacy. Issues Inform Sci Inform Technol, 12, 11-20. https://doi.org/10.28945/2258
  • Aydogan, H., Bozkurt, F., & Coskun, H. (2015). An assessment of brain electrical activities of students toward teacher’s specific emotions. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 9(6), 1977-2000.
  • Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman, New York.
  • Bahri, A., & Corebima, A.D. (2015). The contribution of learning motivation metacognitive skill on cognitive learning outcome of students within different learning strategies. Journal of Baltic Science Education, 14(4), 487-500.
  • Bellocchi, A., Ritchie, S.M., Tobin, K., Sandhu, M., & Sandhu, S. (2013). Exploring emotional climate in preservice science teacher education. Cultural Studies of Science Education, 8(3), 529-552. https://doi.org/10.1007/s11422-013-9526-3
  • Bisquerra, R. (2005) Emotional education and well-being. Praxis, Barcelona.
  • Borrachero, A.B., Brígido, M., Mellado, L., Costillo, E., & Mellado, V. (2014). Emotions in prospective secondary teachers when teaching science content, distinguishing by gender. Research in Science & Technological Education, 32(2), 182-215. https://doi.org/10.1080/02635143.2014.909800
  • Brígido, M., Bermejo, M.L., Conde, M.C., & Mellado, V. (2010). The emotions in teaching and learning Nature Sciences and Physics/Chemistry in pre-service primary teachers. US-China Educational Review, 7(12), 25-32.
  • Brígido, M., Borrachero, A.B., Bermejo, M.L., & Mellado, V. (2013). Prospective primary teachers’ self efficacy and emotions in science teaching. European Journal of Psychology of Education, 36(2), 200-217.
  • Brown, S.D., Tramayne, S., Hoxha, D., Telander, K., Fan, X., & Lent, R.W. (2008). Social cognitive predictors of college students’ academic performance and persistence: a meta-analytic path analysis. Journal of Vocational Behavior, 72(3), 298- 308. https://doi.org/10.1016/j.jvb.2007.09.003
  • Damasio, A. (2005). Looking for Spinoza. Neurobiology emotion and feelings. Crtítica, Barcelona.
  • Dávila-Acedo, M.A., Borrachero, A.B., Brígido, M., & Costillo, E. (2014). Emotions and its causes in the learning of physics and chemistry. International Journal of Educational Psychology, 1(4), 287-294.
  • Dávila-Acedo, M.A., Borrachero, A.B., Cañada-Cañada, F., Martinez, G., & Sánchez, J. (2015). Evolution of the emotions experienced by prospective primary teachers, focused on didactics of matter and energy. Revista Eureka sobre Ense-anza y Divulgación de las Ciencias, 12(3), 550-564.
  • Dos Santos, F.M.T., & Mortimer, E.F. (2003). How emotions shape the relationship between a chemistry teacher and her high school students. International Journal of Science Education, 25(9), 1095-1110. https://doi.org/10.1080/0950069032000052216
  • Dysthe, O., Engelsen, K.S., & Lima, I. (2007). Variations in portfolio assessment in higher education: Discussion of quality issues based on a Norwegian survey across institutions and disciplines. Assessing Writing, 12, 129-148. https://doi.org/10.1016/j.asw.2007.10.002
  • Etxeberria, J., & Tejedor, F.J. (2005). Descriptive data analysis in education. La Muralla, Madrid. Flores, V.M., & Gómez, J. (2017). Applying Active Methodologies for Teaching Software Engineering in Computer Engineering. IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 12(3), 147-155. https://doi.org/10.1109/RITA.2017.2738178
  • Gikandi, J.W., Morrow, D., & Davis, N.E. (2011). Online formative assessment in higher education: A review of the literature. Computers & Education, 57, 2333-2351. https://doi.org/10.1016/j.compedu.2011.06.004
  • Jeong, J.S., González-Gómez, D., & Cañada-Cañada, F. (2016). Students’ Perceptions and Emotions Toward Learning in a Flipped General Science Classroom. Journal of Science Education and Technology, 25(5), 747-758. https://doi.org/10.1007/s10956-016-9630-8
  • Kentnor, H.E. (2015). Distance education and the evolution of online learning in the United States. Curriculum & Teaching Dialogue, 17(1-2), 21-34
  • Kurzman, P.A. (2013). The evolution of distance learning and online education. Journal of Teaching in Social Work, 33(4-5), 331-338. https://doi.org/10.1080/08841233.2013.843346
  • Ludwing-Hardman, S., & Dunlap, J.C. (2003). Learner support services for online students: scaffolding for success. International Review of Research in Open and Distance Learning, 4(1), 1-8
  • . Mellado, V., Borrachero, A.B., Brígido, M., Melo, L.V., Dávila, M.A., Cañada, F. et al. (2014). Las emociones en la ense-anza de las ciencias (Emotions in the teaching of science). Enseñanza Ciencias, 32(3), 11-36.
  • Perrenoud, P. (1996). La construcción del éxito y del fracaso escolar. Morata, Madrid.
  • Pintrich, P.R., Marx, R.W., & Boyle, R.A. (1993). Beyond cold conceptual change: The role of motivational beliefs and classroom contextual factors in the process of conceptual change. Review of Educational Research, 63(2), 167-199. https://doi.org/10.3102/00346543063002167
  • Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 1-10. https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
  • Ritchie, S.M., Tobin, K., Hudson, P., Roth, W.M., & Mergard, V. (2011). Reproducing successful rituals in bad times: Exploring emotional interactions of a new science teacher. Science Education, 95(4), 745-765. https://doi.org/10.1002/sce.20440
  • Schutz, P.A., & Zembylas, M. (2011). Advances in teacher emotion research. Springer, Dordrecht.
  • Sinatra, G.M., & Taasoobshirazi, G. (2011). The Self-regulation of Science learning. In Schunk, D.H., & Zimmerman, B. (Eds.), Handbook of Self-regulation of learning a performance. Taylor & Francis.
  • Solbes, J. (2011). ¿Por qué disminuye el alumnado de ciencias? (Why decreases science students?). Alambique, 67, 53-61.
  • Thompson, G. (1990). How can correspondence-based distance education be improved? A survey of attitudes of students who are not well disposed toward correspondence study. International Journal of E Learning & Distance Education, 5(1), 53-65.
  • Valentine, J.C., DuBois, D.L., & Cooper, H. (2004). The relation between self-beliefs and academic achievement: a meta-analytic review. Journal of Educational Psychology, 39(2), 111-33. https://doi.org/10.1207/s15326985ep3902_3
  • Vázquez, A., & Manassero, M.A. (2007). En defensa de las actitudes y emociones en la educación científica (I): Evidencias y argumentos generales (In defense of attitudes and emotions in science education (I): General arguments and evidence). Revista Eureka sobre Ense-anza y Divulgación de las Ciencias, 4(2), 247-271.
  • Weinstein, C.E., Acee, T.W., & Jung, J. (2011). Self-regulation and learning strategies. New Directions for Teaching and Learning, 126, 45-53. https://doi.org/10.1002/tl.443
  • Zembylas, M. (2007). Emotional ecology: The intersection of emotional knowledge and pedagogical content knowledge in teaching. Teaching and Teacher Education, 23(4), 355-367. https://doi.org/10.1016/j.tate.2006.12.002
  • UNED (2018). Available at: http://portal.uned.es/portal/page?_pageid=93,25170900,93_59732186&_dad= portal&_schema=PORTAL
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