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Education Research International
Volume 2012 (2012), Article ID 579590, 11 pages
doi:10.1155/2012/579590
Research Article
Affect and Cognitive Interference: An Examination of Their Effect on Self-Regulated Learning
1Department of Early Childhood Education, School of Education, University of Ioannina, 451 10 Ioannina, Greece
2School of Psychology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Received 3 August 2012; Revised 6 November 2012; Accepted 11 November 2012
Academic Editor: Bracha Kramarski
Copyright © 2012 Georgia Papantoniou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Linked References
- A. Efklides, “Interactions of metacognition with motivation and affect in self-regulated learning: the MASRL model,” Educational Psychologist, vol. 46, no. 1, pp. 6–25, 2011. View at Publisher · View at Google Scholar · View at Scopus
- P. R. Pintrich, “The role of goal orientation in self-regulated learning,” in Handbook of Self-Regulation, M. Boekaerts, P. R. Pintrich, and M. Zeidner, Eds., pp. 451–502, Academic Press, San Diego, Calif, USA, 2000.
- P. H. Winne, “Students' calibration of knowledge and learning processes: implications for designing powerful software learning environments,” International Journal of Educational Research, vol. 41, no. 6, pp. 466–488, 2004. View at Publisher · View at Google Scholar · View at Scopus
- B. J. Zimmerman, “Investigating self-regulation and motivation: historical background, methodological developments, and future prospects,” American Educational Research Journal, vol. 45, no. 1, pp. 166–183, 2008. View at Publisher · View at Google Scholar · View at Scopus
- T. Bidjerano and D. Y. Dai, “The relationship between the big-five model of personality and self-regulated learning strategies,” Learning and Individual Differences, vol. 17, no. 1, pp. 69–81, 2007. View at Publisher · View at Google Scholar · View at Scopus
- G. Papantoniou, D. Moraitou, E. Katsadima, and M. Dinou, “Action control and dispositional hope: an examination of their effect on self-regulated learning,” Electronic Journal of Research in Educational Psychology, vol. 8, no. 1, pp. 5–32, 2010. View at Scopus
- J. Kuhl and A. Fuhrmann, “Decomposing self-regulation and self-control: the volitional components inventory,” in Motivation and Self-Regulation Across the Life Span, J. Heckhausen and C. S. Dweck, Eds., pp. 15–49, Cambridge University Press, New York, NY, USA, 1998.
- B. J. Zimmerman, “Commentary: toward a cyclically interactive view of self-regulated learning,” International Journal of Educational Research, vol. 31, no. 6, pp. 545–551, 1999. View at Publisher · View at Google Scholar · View at Scopus
- M. Zeidner, Test Anxiety: The State of Art, Plenum Press, New York, NY, USA, 1998.
- P. R. Pintrich, “A motivational science perspective on the role of student motivation in learning and teaching contexts,” Journal of Educational Psychology, vol. 95, no. 4, pp. 667–686, 2003. View at Publisher · View at Google Scholar · View at Scopus
- P. A. Schutz and H. A. Davis, “Emotions and self-regulation during test taking,” Educational Psychologist, vol. 35, no. 4, pp. 243–256, 2000. View at Scopus
- P. R. Pintrich, “The role of motivation in promoting and sustaining self-regulated learning,” International Journal of Educational Research, vol. 31, no. 6, pp. 459–470, 1999. View at Publisher · View at Google Scholar · View at Scopus
- M. Boekaerts, “Self-regulated learning: a new concept embraced by researchers, policy makers, educators, teachers, and students,” Learning and Instruction, vol. 7, no. 2, pp. 161–186, 1997. View at Scopus
- P. R. Pintrich and E. V. De Groot, “Motivational and self-regulated learning components of classroom academic performance,” Journal of Educational Psychology, vol. 82, no. 1, pp. 33–40, 1990. View at Scopus
- D. H. Schunk and B. J. Zimmerman, Self-Regulation of Learning and Performance, Erlbaum, Hillsdale, NJ, USA, 1994.
- D. Watson, L. A. Clark, and A. Tellegen, “Development and validation of brief measures of positive and negative affect: the PANAS scales,” Journal of Personality and Social Psychology, vol. 54, no. 6, pp. 1063–1070, 1988. View at Scopus
- D. Watson and L. A. Clark, The PANAS-X: Manual for the Positive and Negative Affect Schedule—Expanded Form, The University of Iowa, 1994.
- J. R. Crawford and J. D. Henry, “The Positive and Negative Affect Schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample,” British Journal of Clinical Psychology, vol. 43, no. 3, pp. 245–265, 2004. View at Publisher · View at Google Scholar · View at Scopus
- A. Tellegen, D. Watson, and L. A. Clark, “On the dimensional and hierarchical structure of affect,” Psychological Science, vol. 10, no. 4, pp. 297–303, 1999. View at Scopus
- R. Zan, L. Brown, J. Evans, and M. S. Hannula, “Affect in mathematics education: an introduction,” Educational Studies in Mathematics, vol. 63, no. 2, pp. 113–121, 2006. View at Publisher · View at Google Scholar · View at Scopus
- K. M. Olafson and F. R. Ferraro, “Effects of emotional state on lexical decision performance,” Brain and Cognition, vol. 45, no. 1, pp. 15–20, 2001. View at Publisher · View at Google Scholar · View at Scopus
- H. Bless, N. Schwarz, G. L. Clore, V. Golisano, C. Rabe, and M. Wölk, “Mood and the use of scripts: does a happy mood really lead to mindlessness?” Journal of Personality and Social Psychology, vol. 71, no. 4, pp. 665–679, 1996. View at Scopus
- K. Fiedler, “Affective states trigger processes of assimilation and accommodation,” in Theories of Mood and Cognition: A User’s Guidebook, L. L. Martin and G. L. Clore, Eds., pp. 85–98, Erlbaum, Mahwah, NJ, USA, 2001.
- R. Hembree, “Correlates, causes, effects, and treatment of test anxiety,” Review of Educational Research, vol. 58, pp. 47–77, 1988.
- J.-L. Berger, “The influence of achievement goals on metacognitive processes in math problem solving,” Journal of Cognitive Education and Psychology, vol. 8, pp. 165–181, 2009.
- A. Efklides, M. Papadaki, G. Papantoniou, and G. Kiosseoglou, “Effects of cognitive ability and affect on school mathematics performance and feelings of difficulty,” American Journal of Psychology, vol. 110, no. 2, pp. 225–258, 1997. View at Scopus
- A. Efklides, M. Papadaki, G. Papantoniou, and G. Kiosseoglou, “Individual differences in school mathematics performance and feelings of difficulty: the effects of cognitive ability, affect, age, and gender,” European Journal of Psychology of Education, vol. 14, no. 1, pp. 57–69, 1999. View at Scopus
- M. L. Malmivuori, “Affect and self-regulation,” Educational Studies in Mathematics, vol. 63, no. 2, pp. 149–164, 2006. View at Publisher · View at Google Scholar · View at Scopus
- B. Ozturk, S. Bulut, and Y. Koc, “Motivation and self-regulation in mathematics,” Academic Exchange Quarterly, vol. 11, no. 1, pp. 149–154, 2007.
- C. A. Wolters and P. R. Pintrich, “Contextual differences in student motivation and self-regulated learning in mathematics, English, and social studies classrooms,” Instructional Science, vol. 26, no. 1-2, pp. 27–47, 1998. View at Scopus
- T. Garcia, “Women and minorities in science: motivational and cognitive correlates of achievement,” in Annual Meeting of the American Educational Research Association, Atlanda, Ga, USA, April 1993.
- S. B. Obrentz, Predictors of science success: the impact of motivation and learning strategies on college chemistry performance [dissertation], Georgia State University, Atlanta, Ga, USA, 2011.
- Y. G. Lin, W. J. McKeachie, and Y. C. Kim, “College student intrinsic and/or extrinsic motivation and learning,” Learning and Individual Differences, vol. 13, no. 3, pp. 251–258, 2001. View at Publisher · View at Google Scholar · View at Scopus
- M. S. Chapell, Z. Benjamin Blanding, M. Takahashi et al., “Test anxiety and academic performance in undergraduate and graduate students,” Journal of Educational Psychology, vol. 97, no. 2, pp. 268–274, 2005. View at Publisher · View at Google Scholar · View at Scopus
- R. Pekrun, T. Goetz, R. P. Perry, K. Kramer, M. Hochstadt, and S. Molfenter, “Beyond test anxiety: development and validation of the Test Emotions Questionnaire (TEQ),” Anxiety, Stress and Coping, vol. 17, no. 3, pp. 287–316, 2004. View at Publisher · View at Google Scholar · View at Scopus
- R. Pekrun, T. Goetz, W. Titz, and R. P. Perry, “Academic emotions in students' self-regulated learning and achievement: a program of qualitative and quantitative research,” Educational Psychologist, vol. 37, no. 2, pp. 91–105, 2002. View at Publisher · View at Google Scholar · View at Scopus
- E. A. Linnenbrink, “The role of affect in student learning: a multi-dimensional approach to considering the interaction of affect, motivation and engagement,” in Emotion in Education, P. A. Schutz and R. Pekrun, Eds., pp. 107–124, Academic Press, San Diego, Calif, USA, 2007.
- E. A. Linnenbrink, A. M. Ryan, and P. R. Pintrich, “The role of goals and affect in working memory functioning,” Learning and Individual Differences, vol. 11, no. 2, pp. 213–230, 1999. View at Scopus
- C. Magno, “Integrating negative affect measures in a measurement model: assessing the function of negative affect as interference to self-regulation,” The International Journal of Educational and Psychological Assessment, vol. 4, pp. 48–67, 2010.
- I. G. Sarason, G. R. Pierce, and B. R. Sarason, “Domains of cognitive interference,” in Cognitive Interference: Theories, Methods, and Findings, I. G. Sarason, G. R. Pierce, and B. R. Sarason, Eds., pp. 139–152, Erlbaum, Mahwah, NJ, USA, 1996.
- I. G. Sarason, B. R. Sarason, D. E. Keefe, B. E. Hayes, and E. N. Shearin, “Cognitive interference: situational determinants and trait-like characteristics,” Journal of Personality and Social Psychology, vol. 51, no. 1, pp. 215–226, 1986. View at Publisher · View at Google Scholar · View at Scopus
- P. Metallidou and A. Vlachou, “Motivational beliefs, cognitive engagement, and achievement in language and mathematics in elementary school children,” International Journal of Psychology, vol. 42, no. 1, pp. 2–15, 2007. View at Publisher · View at Google Scholar · View at Scopus
- H. C. Ellis and P. W. Ashbrook, “Resource allocation model of the effects of depressed mood states on memory,” in Affect, Cognition, and Social Behaviour, K. Fiedler and J. P. Forgas, Eds., pp. 25–43, Hogrefe, Toronto, Canada, 1988.
- M. Boekaerts, P. Pintrich, and M. Zeidner, Handbook of Self-Regulation, Academic Press, San Diego, Calif, USA, 2000.
- D. C. Moos and R. Avezedo, “The role of goal structure in undergraduates’ use of self-regulatory variables in two hypermedia learning tasks,” Journal of Educational Multimedia and Hypermedia, vol. 15, no. 1, pp. 49–86, 2006.
- T. G. Duncan and W. J. McKeachie, “The making of the motivated strategies for learning questionnaire,” Educational Psychologist, vol. 40, no. 2, pp. 117–128, 2005. View at Publisher · View at Google Scholar · View at Scopus
- A. L. Brown, J. D. Bransford, R. A. Ferrara, and J. C. Campione, “Learning, remembering, and understanding,” in Handbook of Child Psychology, P. H. Mussen, J. H. Flavell, and E. M. Markman, Eds., vol. 3 of Cognitive Development, pp. 77–166, John Wiley & Sons, New York, NY, USA, 1983.
- S. S. Stodolsky, The Subject Matters: Classroom Activity in Math and Social Studies, University of Chicago Press, Chicago, Ill, USA, 1988.
- D. L. Bandalos, S. J. Finney, and J. A. Geske, “A model of statistics performance based on achievement goal theory,” Journal of Educational Psychology, vol. 95, no. 3, pp. 604–616, 2003. View at Publisher · View at Google Scholar · View at Scopus
- N. Mousoulides and G. Philippou, “Students’ motivational beliefs, self-regulation strategies and mathematics achievement,” in Proceedings of the 29th Conference of the International Group for the Psychology of Mathematics Education, H. L. Chick and J. L. Vincent, Eds., vol. 3, pp. 321–328, PME, Melbourne, Australia, 2005.
- P. Pokay and P. C. Blumenfeld, “Predicting achievement early and late in the semester: the role of motivation and use of learning strategies,” Journal of Educational Psychology, vol. 82, no. 1, pp. 41–50, 1990. View at Scopus
- P. A. Schutz, L. M. Drogosz, V. E. White, and C. Distefano, “Prior knowledge, attitude, and strategy use in an introduction to statistics course,” Learning and Individual Differences, vol. 10, no. 4, pp. 291–308, 1998. View at Scopus
- S. L. Yu, “Women’s motivation and strategy use in college science classes,” Journal of Staff, Program, & Organization Development, vol. 16, pp. 93–101, 1999.
- B. E. Brackney and S. A. Karabenick, “Psychopathology and academic performance: the role of motivation and learning strategies,” Journal of Counseling Psychology, vol. 42, no. 4, pp. 456–465, 1995. View at Publisher · View at Google Scholar · View at Scopus
- D. Moraitou and A. Efklides, “The blank in the mind questionnaire (BIMQ),” European Journal of Psychological Assessment, vol. 25, no. 2, pp. 115–122, 2009. View at Publisher · View at Google Scholar · View at Scopus
- G. Papantoniou, Cognitive style, anxiety and action control [dissertation], Aristotle University of Thessaloniki, Thessaloniki, Greece, 2002.
- P. R. Pintrich, D. A. F. Smith, T. Garcia, and W. J. McKeachie, “A manual for the use of the Motivated Strategies for Learning Questionnaire,” Tech. Rep., The Regents of the University of Michigan, Ann Arbor, Mich, USA, 1991.
- P. M. Bentler, EQS 6.1, Multivariate Software, Encino, Calif, USA, 2005.
- T. A. Brown, Confirmatory Factor Analysis for Applied Research, Guilford Press, New York, NY, USA, 2006.
- A. Zusho, P. R. Pintrich, and B. Coppola, “Skill and will: the role of motivation and cognition in the learning of college chemistry,” International Journal of Science Education, vol. 25, no. 9, pp. 1081–1094, 2003. View at Publisher · View at Google Scholar · View at Scopus
- P. Zeegers, “Approaches to learning in science: a longitudinal study,” British Journal of Educational Psychology, vol. 71, no. 1, pp. 115–132, 2001. View at Publisher · View at Google Scholar · View at Scopus
- B. Kramarski and T. Michalsky, “Investigating pre-service teachers’ professional growth in self-regulated learning environments,” Journal of Educational Psychology, vol. 101, no. 1, pp. 161–175, 2009. View at Publisher · View at Google Scholar · View at Scopus
- B. Kramarski and T. Michalsky, “Preparing preservice teachers for self-regulated learning in the context of technological pedagogical content knowledge,” Learning and Instruction, vol. 20, no. 5, pp. 434–447, 2010. View at Publisher · View at Google Scholar · View at Scopus
- R. Azevedo, “Computer environments as metacognitive tools for enhancing learning,” Educational Psychologist, vol. 40, no. 4, pp. 193–197, 2005. View at Publisher · View at Google Scholar · View at Scopus
- P. H. Winne and N. E. Perry, “Measuring self-regulated learning,” in Handbook of Self-Regulation, M. Boekaerts, P. Pintrich, and M. Zeidner, Eds., pp. 531–566, Academic Press, San Diego, Calif, USA, 2000.
- J. A. Greene and R. Azevedo, “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, vol. 34, no. 1, pp. 18–29, 2009. View at Publisher · View at Google Scholar · View at Scopus
- I. Dermitzaki, “Introduction: individual and social processes in the regulation of learning,” Hellenic Journal of Psychology, vol. 1, no. 2, pp. 119–127, 2004.