27 SES 05.5 PS, General Poster Session
General Poster Session, Chaired by Convenors of NW 27
The results that we enclose are based on a three years research. The research question that guides the work we present here is this: Do students with better metacognitive strategies have better learning strategies than their peers and do they also prefer deep learning approaches?
The Bologna process of convergence, developed by EU countries, involves, among other things, reconfiguring the roles of teachers and students. Underlying learning theories defend a university pedagogy focused on learning/learner-centered (student-centered learning, learning paradigm) (Attard, Di Ioio, Geven & Santa, 2010, Biggs, 2005; Kember, 2009; Monereo and Pozo, 2003; Samuelowicz & Bain, 2001).
In this model student learning is the key element of the process, but there is also recognition of the changed role of the teacher (Attard et al., 2010). In this model the teacher must act as a mediator, as a designer of learning environments that promote the independent learning of students -which requires teaching skills-, compared to traditional models where the teacher is focused on the knowledge of content and conveying that knowledge to students.
The development of this model also requires a change in the role of the student, from being a “receiver” and” repeater” of the knowledge transmitted by the teacher, to being a subject actively involved in the learning process. In this model students must inquire, question, develop, investigate, make personal contributions, they must be actively involved making the learning process significant (Machemer and Crawford, 2007). They must able to lead the process, establish their own learning paths, self-regulate and self-evaluate (Hannafin, 2012).
This is a model that demands self-regulated learners (Attard et al., 2010).
A self-regulated learner (Pintrich, 2000, Zimmerman, 2002) effectively manages the learning strategies, including cognitive and affective-motivational components of support ("to want"), metacognitive components ("to make decisions and to evaluate") and cognitive components ("to be able to”). These are the three components of the model of Weinstein, Husman and Dierking (2000) -"will", "self-regulation" and "skill"- on which researchers basically agree (Yip, 2012). It is essential that students develop metacognitive strategies so that they can act as self-regulated learners.
In this context, it is relevant to verify whether the domain of metacognitive strategies also involves better management of other learning strategies (motivational, affective, contextual control strategies, information search strategies and information processing strategies) as well as a deep learning approach. This is the objective that we address in this work.
To pursue this objective we are collecting data from students of three universities in the city of Valencia (Spain). If the results confirm our assumptions, we can offer to other Spanish and European universities relevant data and training proposals of interest. We know that the learning-centered model helps the student to improve their learning strategies, to increase the deep approach to learning and to improve their performance (Gargallo, Garfella Perez & Fernandez, 2010). If, as we think, metacognitive strategies are critical in the process, the emphasis should be on developing metacognitive strategies in order to promote the strategic learning and the deep approach to learning.
In addition, there is convincing evidence that learning strategies influence student achievement (Pintrich, 1995; Gargallo, Suárez-Rodríguez & Pérez-Pérez, 2009), and also learning approaches: (Gargallo, 2008; Valle, Gonzalez Cabanach Núñez, Suárez Piñeiro & Rodríguez, 2000), so the interest of this work is clear.
 It is the "Learning-centered methodologies at the university. Design, implementation and assessment” , approved by the Spanish Economy and Competitiveness’ Ministry into the National Basic Research Program, 2001 (2013-2015) (Financing Plan E, PGE), directed by Professor Ph.D. Bernardo Gargallo (code EDU2012-32725).
Attard, A., Di Ioio, E., Geven, K. & Santa, R. (2010). Student centered learning. An insight into theory and practice.Bucarest: Partos Timisoara. Biggs, J. (2005). Calidad del aprendizaje universitario. Madrid: Narcea. Biggs, J., Kember, D. & Leung, D.Y.P. (2001). The revised two-factor Study Process Questionnaire: R-SPQ-2. British Journal of Educational Psychology, 71, 133-149. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates. Gargallo, B., Almerich, G., Suárez, J., García, E., Pérez, C. & Fernández, A. (2013) Enfoques de aprendizaje en estudiantes universitarios excelentes y medios. Su evolución a lo largo del primer año de carrera. Bordón, 65, 1-22. Gargallo, B. (2008) Estilos de docencia y evaluación de los profesores universitarios y su influencia sobre los modos de aprender de sus estudiantes. Revista Española de Pedagogía, 241, 425-446. Gargallo, B., Suárez-Rodríguez, J. M. & Pérez-Pérez, C. (2009). El cuestionario CEVEAPEU. Un instrumento para la evaluación de las estrategias de aprendizaje de los estudiantes universitarios, RELIEVE, 15: 2, 1-31. Hannafin, M. (2012). Student-Centered Learning. En N.M. Seel (Ed.), Encyclopedia of the Sciences of Learning (pp. 3211-3214). Nueva York: Springer. Kember, D. (2009). Promoting student-centred forms of learning across an entire university. Higher Education, 58, 1-13. Machemer, P.L. & Crawford, P. (2007). Student perceptions of active learning in a large cross-disciplinary classroom. Active Learning in Higher Education, 8 (1), 9-30. Monereo, C. & Pozo, J.I. (2003). La universidad ante la nueva cultura educativa. Enseñar y aprender para la autonomía. Madrid: Síntesis. Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. En M. Boekaerts, P. Pintrich & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 451-502). California. Academic Press Samuelowicz, K. & Bain, J.D. (2001). Revisiting academics’ beliefs about teaching and learning, Higher Education, 41, 299-325. Yip, M.C.W. (2012). Learning strategies and self-efficacy as predictors of academic performance: a preliminary study. Quality in Higher Education, 18 (1), 23-34. Valle, A., González Cabanach, R., Núñez, J., Suárez, J.M., Piñeiro, I. & Rodríguez, S. (2000). Enfoques de aprendizaje en estudiantes universitarios, Psicothema, 12 (3), 368-375. Weinstein, C.E., Husman, J. & Dierking, D. (2002). Self-Regulation Interventions with a focus on learning strategies. En M. Boekaerts, P.R. Pintrich & M. Zeinder, Handbook of Self-regulation (pp. 727-747). San Diego: Academic Press. Zimmerman, B.J. (2002). Becoming a self-regulated learner: an overview. Theory into Practice, 41, 64-70.
00. Central Events (Keynotes, EERA-Panel, EERJ Round Table, Invited Sessions)
Network 1. Continuing Professional Development: Learning for Individuals, Leaders, and Organisations
Network 2. Vocational Education and Training (VETNET)
Network 3. Curriculum Innovation
Network 4. Inclusive Education
Network 5. Children and Youth at Risk and Urban Education
Network 6. Open Learning: Media, Environments and Cultures
Network 7. Social Justice and Intercultural Education
Network 8. Research on Health Education
Network 9. Assessment, Evaluation, Testing and Measurement
Network 10. Teacher Education Research
Network 11. Educational Effectiveness and Quality Assurance
Network 12. LISnet - Library and Information Science Network
Network 13. Philosophy of Education
Network 14. Communities, Families and Schooling in Educational Research
Network 15. Research Partnerships in Education
Network 16. ICT in Education and Training
Network 17. Histories of Education
Network 18. Research in Sport Pedagogy
Network 19. Ethnography
Network 20. Research in Innovative Intercultural Learning Environments
Network 22. Research in Higher Education
Network 23. Policy Studies and Politics of Education
Network 24. Mathematics Education Research
Network 25. Research on Children's Rights in Education
Network 26. Educational Leadership
Network 27. Didactics – Learning and Teaching
The programme is updated regularly (each day in the morning)
- Search for keywords and phrases in "Text Search"
- Restrict in which part of the abstracts to search in "Where to search"
- Search for authors and in the respective field.
- For planning your conference attendance you may want to use the conference app, which will be issued some weeks before the conference
- If you are a session chair, best look up you chairing duties in the conference system (conftool) or the app.