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The Combined Effects of Classroom Teaching and Learning Strategy Use on Students’ Chemistry Self-Efficacy

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Abstract

For students to be successful in school chemistry, a strong sense of self-efficacy is essential. Chemistry self-efficacy can be defined as students’ beliefs about the extent to which they are capable of performing specific chemistry tasks. According to Bandura (Psychol. Rev. 84:191–215, 1977), students acquire information about their level of self-efficacy from four sources: performance accomplishments, vicarious experiences, verbal persuasion, and physiological states. No published studies have investigated how instructional strategies in chemistry lessons can provide students with positive experiences with these four sources of self-efficacy information and how the instructional strategies promote students’ chemistry self-efficacy. In this study, questionnaire items were constructed to measure student perceptions about instructional strategies, termed efficacy-enhancing teaching, which can provide positive experiences with the four sources of self-efficacy information. Structural equation modeling was then applied to test a hypothesized mediation model, positing that efficacy-enhancing teaching positively affects students’ chemistry self-efficacy through their use of deep learning strategies such as metacognitive control strategies. A total of 590 chemistry students at nine secondary schools in Hong Kong participated in the survey. The mediation model provided a good fit to the student data. Efficacy-enhancing teaching had a direct effect on students’ chemistry self-efficacy. Efficacy-enhancing teaching also directly affected students’ use of deep learning strategies, which in turn affected students’ chemistry self-efficacy. The implications of these findings for developing secondary school students’ chemistry self-efficacy are discussed.

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References

  • Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84, 191–215.

    Article  Google Scholar 

  • Bandura, A. (1997). Self-efficacy: the exercise of control. New York: W. H. Freeman.

    Google Scholar 

  • Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307–337). Greenwich: Information Age Publishing, Inc.

    Google Scholar 

  • Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic interest through proximal self-motivation. Journal of Personality and Social Psychology, 41, 586–598.

    Article  Google Scholar 

  • Beausaert, S. A. J., Segers, M. S. R., & Wiltink, D. P. A. (2013). The influence of teachers’ teaching approaches on students’ learning approaches: the student perspective. Educational Research, 55, 1–15.

    Article  Google Scholar 

  • Britner, S. L., & Pajares, F. (2006). Sources of science self-efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43, 485–499.

    Article  Google Scholar 

  • Byrne, B. M. (2010). Structural equation modeling with AMOS: basic concepts, applications, and programming (2nd ed.). New York: Routledge.

    Google Scholar 

  • Cano, F., & Cardelle-Elawar, M. (2008). Family environment, epistemological beliefs, learning strategies, and academic performance: a path analysis. In M. S. Khine (Ed.), Knowing, knowledge and beliefs: epistemological studies across diverse cultures (pp. 219–239). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Çapa Aydin, Y., & Uzuntiryaki, E. (2009). Development and psychometric evaluation of the high school chemistry self-efficacy scale. Educational and Psychological Measurement, 69, 868–880.

    Article  Google Scholar 

  • Chen, J. A., & Pajares, F. (2010). Implicit theories of ability of grade 6 science students: relation to epistemological beliefs and academic motivation and achievement in science. Contemporary Educational Psychology, 35, 75–87.

    Article  Google Scholar 

  • Cheng, M. M. W. (2010). Hong Kong. In B. Risch (Ed.), Teaching chemistry around the world (pp. 91–110). Műnster: Waxmann.

    Google Scholar 

  • Cheung, D. (2008). Facilitating chemistry teachers to implement inquiry-based laboratory work. International Journal of Science and Mathematics Education, 6, 107–130.

  • Cheung, D. (2009). Developing a scale to measure students’ attitudes toward chemistry lessons. International Journal of Science Education, 31, 2185–2203.

  • Cheung, D. (2011). Teacher beliefs about implementing guided-inquiry laboratory experiments for secondary school chemistry. Journal of Chemical Education, 88, 1462–1468.

  • Cheung, D., Hattie, J., Bucat, R., & Douglas, G. (1996). Students’ perceptions of curriculum implementation. Curriculum and Teaching, 11, 49–60.

  • Chiou, G. L., & Liang, J. C. (2012). Exploring the structure of science self-efficacy: a model built on high school students’ conceptions of learning and approaches to learning in science. Asia-Pacific Education Researcher, 21(1), 83–91.

    Google Scholar 

  • Chiou, G. L., Lee, M. H., & Tsai, C. C. (2013). High school students’ approaches to learning physics with relationship to epistemic views on physics and conceptions of learning physics. Research in Science and Technological Education, 31, 1–15.

    Article  Google Scholar 

  • Dahl, T. I., Bals, M., & Turi, A. L. (2005). Are students’ beliefs about knowledge and learning associated with their reported use of learning strategies? British Journal of Educational Psychology, 75, 257–273.

    Article  Google Scholar 

  • Dalgety, J., & Coll, R. K. (2006). The influence of first-year chemistry students’ learning experiences on their educational choices. Assessment and Evaluation in Higher Education, 31, 303–328.

    Article  Google Scholar 

  • Dalgety, J., Coll, R. K., & Jones, A. (2003). Development of chemistry attitudes and experiences questionnaire (CAEQ). Journal of Research in Science Teaching, 40, 649–668.

    Article  Google Scholar 

  • Elliot, A. J., McGregor, H. A., & Gable, S. (1999). Achievement goals, study strategies, and exam performance: a mediational analysis. Journal of Educational Psychology, 91, 549–563.

    Article  Google Scholar 

  • Entwistle, N. (1997). Reconstituting approaches to learning: a response to Webb. Higher Education, 33, 213–218.

    Article  Google Scholar 

  • Entwistle, N., & McCune, V. (2004). The conceptual bases of study strategy inventories. Educational Psychology Review, 16, 325–345.

    Article  Google Scholar 

  • Entwistle, N. J., & Ramsden, P. (1983). Understanding student learning. London: Croom Helm.

    Google Scholar 

  • Fencl, H., & Scheel, K. (2005). Engaging students: an examination of the effects of teaching strategies on self-efficacy and course climate in a nonmajors physics course. Journal of College Science Teaching, 25(1), 20–24.

    Google Scholar 

  • Hampton, N. Z., & Mason, E. (2003). Learning disabilities, gender, sources of efficacy, self-efficacy beliefs, and academic achievement in high school students. Journal of School Psychology, 41, 101–112.

    Article  Google Scholar 

  • Hong Kong Examinations and Assessment Authority (HKEAA). (2013). Press release: 2013 Hong Kong diploma of secondary education examination results. Hong Kong: HKEAA.

    Google Scholar 

  • Jackman, W. M., Townsend, M., & Hamilton, R. (2009). Improving motivation and performance in secondary school science. In D. H. Ellsworth (Ed.), Motivation in education (pp. 147–157). New York: Nova Science Publishers.

    Google Scholar 

  • Jordan, A., Carlile, O., & Stack, A. (2008). Approaches to learning: a guide for teachers. London: Open University Press.

    Google Scholar 

  • Kipinis, M., & Hofstein, A. (2008). The inquiry laboratory as a source for development of metacognitive skills. International Journal of Science and Mathematics Education, 6, 601–627.

    Article  Google Scholar 

  • Kiran, D., & Sungur, S. (2012). Middle school students’ science self-efficacy and its sources: examination of gender difference. Journal of Science Education and Technology, 21, 619–630.

    Article  Google Scholar 

  • Klassen, R. M. (2004). A cross-cultural investigation of the efficacy beliefs of South Asian immigrant and Anglo Canadian nonimmigrant early adolescents. Journal of Educational Psychology, 96, 731–742.

    Article  Google Scholar 

  • Koh, J. H. L., & Frick, T. W. (2009). Instructor and student classroom interactions during technology skills instruction for facilitating preservice teachers’ computer self-efficacy. Journal of Educational Computing Research, 40, 211–228.

    Article  Google Scholar 

  • Lacobucci, D. (2008). Mediation analysis. Thousand Oaks: Sage.

    Google Scholar 

  • Lau, S., & Roeser, R. W. (2002). Cognitive abilities and motivational processes in high school students’ situational engagement and achievement in science. Educational Assessment, 8, 139–162.

    Article  Google Scholar 

  • Lau, S., Liem, A. D., & Nie, Y. (2008). Task- and self-related pathways to deep learning: the mediating role of achievement goals, classroom attentiveness, and group participation. British Journal of Educational Psychology, 78, 639–662.

    Article  Google Scholar 

  • Lent, R. W., Brown, S. D., & Larkin, K. C. (1984). Relation of self-efficacy expectations to academic achievement and persistence. Journal of Counseling Psychology, 31, 356–362.

    Article  Google Scholar 

  • Lent, R. W., Lopez, F. G., Brown, S. D., & Gore, P. A. (1996). Latent structure of the sources of mathematics self-efficacy. Journal of Vocational Behavior, 49, 292–308.

    Article  Google Scholar 

  • Lopez, F. G., Lent, R. W., Brown, S. D., & Gore, P. A., Jr. (1997). Role of social-cognitive expectations in high school students’ mathematics-related interest and performance. Journal of Counseling Psychology, 44, 44–52.

    Article  Google Scholar 

  • Luzzo, D. A., Hasper, P., Albert, K. A., Bibby, M. A., & Martinelli, E. A., Jr. (1999). Effects of self-efficacy-enhancing interventions on the math/science self-efficacy and career interests, goals, and actions of career undecided college students. Journal of Counseling Psychology, 46, 233–243.

    Article  Google Scholar 

  • Lynch, R., McNamara, P. M., & Seery, N. (2012). Promoting deep learning in a teacher education programme through self- and peer-assessment and feedback. European Journal of Teacher Education, 35, 179–197.

    Article  Google Scholar 

  • MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York: Lawrence Erlbaum Associates.

    Google Scholar 

  • Marsh, H. W., Hau, K. T., Artelt, C., Baumert, J., & Peschar, J. L. (2006). OECD’s brief self-report measure of educational psychology’s most useful affective constructs: cross-cultural, psychometric comparisons across 25 countries. International Journal of Testing, 6, 311–360.

    Article  Google Scholar 

  • Merchant, Z., Goetz, E. T., Keeney-Kennicutt, W., Kwok, O. M., Cifuentes, L., & Davis, T. J. (2012). The learner characteristics, features of desktop 3D virtual reality environments, and college chemistry instruction: a structural equation modeling analysis. Computer and Education, 59, 551–568.

    Article  Google Scholar 

  • Nbina, J. B., & Viko, B. (2010). Effect of instruction in metacognitive self-assessment strategy on chemistry students’ self-efficacy and achievement. Academia Arena, 2, 1–10.

    Google Scholar 

  • Nelson Laird, T. F., Shoup, R., Kuh, G. D., & Schwarz, M. J. (2008). The effects of discipline on deep approaches to student learning and college outcomes. Research in Higher Education, 49, 469–494.

    Article  Google Scholar 

  • Nijhuis, J., Segers, M., & Gijselaers, W. (2008). The extent of variability in learning strategies and students’ perceptions of the learning environment. Learning and Instruction, 18, 121–134.

    Article  Google Scholar 

  • Özyürek, R. (2005). Informative sources of math-related self-efficacy expectations and their relationship with math-related self-efficacy, interest, and preference. International Journal of Psychology, 40, 145–156.

    Article  Google Scholar 

  • Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66, 543–578.

    Article  Google Scholar 

  • Phan, H. P. (2007). An examination of reflective thinking, learning approaches, and self-efficacy beliefs at the University of the South Pacific: a path analysis approach. Educational Psychology, 27(6), 789–806.

    Article  Google Scholar 

  • Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). Ann Arbor: The University of Michigan.

    Google Scholar 

  • Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36, 717–731.

    Article  Google Scholar 

  • Ramsden, P. (2003). Learning to teach in higher education. London: RoutledgeFalmer.

    Google Scholar 

  • Sawtelle, V., Brewe, E., & Kramer, L. H. (2012). Exploring the relationship between self-efficacy and retention in introductory physics. Journal of Research in Science Teaching, 49, 1096–1121.

  • Schmidt, A. M., & Ford, J. K. (2003). Learning within a learner control training environment: the interactive effects of goal orientation and metacognitive instruction on learning outcomes. Personnel Psychology, 56, 405–429.

    Article  Google Scholar 

  • Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling (3rd ed.). New York: Routledge.

    Google Scholar 

  • Schunk, D. H. (1985). Self-efficacy and classroom learning. Psychology in the Schools, 22, 208–223.

    Article  Google Scholar 

  • Schunk, D. H., & Swartz, C. W. (1993). Goals and progressive feedback: effects on self-efficacy and writing achievement. Contemporary Educational Psychology, 18, 337–354.

    Article  Google Scholar 

  • Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education: theory, research, and applications (3rd ed.). Upper Saddle River: Pearson.

    Google Scholar 

  • Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychological Methods, 7, 422–445.

    Article  Google Scholar 

  • Smist, J. M. (1993). General chemistry and self-efficacy. Paper presented at the national meeting of the American Chemical Society, Chicago, IL.

  • Struyven, K., Dochy, F., Janssens, S., & Gielen, S. (2006). On the dynamics of students’ approaches to learning: the effects of the teaching/learning environment. Learning and Instruction, 16, 279–294.

    Article  Google Scholar 

  • Taasoobshirazi, G., & Glynn, S. M. (2009). College students solving chemistry problems: a theoretical model of expertise. Journal of Research in Science Teaching, 46, 1070–1089.

    Article  Google Scholar 

  • Tang, M., Addison, K. D., LaSure-Bryant, D., Norman, R., O’Connell, W., & Stewart-Sicking, J. A. (2004). Factors that influence self-efficacy of counseling students: an exploratory study. Counselor Education and Supervision, 44(1), 70–80.

    Article  Google Scholar 

  • Usher, E. L. (2009). Sources of middle school students’ self-efficacy in mathematics: a qualitative investigation. American Educational Research Journal, 46, 275–314.

    Article  Google Scholar 

  • Usher, E. L., & Pajares, S. (2006). Sources of academic and self-regulatory efficacy beliefs of entering middle school students. Contemporary Educational Psychology, 31, 125–141.

    Article  Google Scholar 

  • Usher, E. L., & Pajares, S. (2008). Sources of self-efficacy in school: critical review of the literature and future directions. Review of Educational Research, 78, 751–796.

    Article  Google Scholar 

  • Usher, E. L., & Pajares, S. (2009). Sources of self-efficacy in mathematics: a validation study. Contemporary Educational Psychology, 34, 89-101.

  • Uzuntiryaki, E., & Çapa Aydin, Y. (2009). Development and validation of chemistry self-efficacy scale for college students. Research in Science Education, 39, 539–551.

    Article  Google Scholar 

  • Vos, N., van der Meijden, H., & Denessen, E. (2011). Effects of constructing versus playing an educational game on student motivation and deep learning strategy use. Computers & Education, 56, 127–137.

    Article  Google Scholar 

  • Walker, R. A., Pressick-Kilborn, K., Arnold, L. S., & Sainsbury, E. J. (2004). Investigating motivation in context: developing sociocultural perspectives. European Psychologist, 9, 245–256.

    Article  Google Scholar 

  • Winne, P. H. (2011). A cognitive and metacognitive analysis of self-regulated learning. In B. J. Zimmerman & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (pp. 15–32). New York: Routledge.

    Google Scholar 

  • Yildirim, S. (2012). Teacher support, motivation, learning strategy use, and achievement: a multilevel mediation model. Journal of Experimental Education, 80, 150–172.

    Article  Google Scholar 

  • Yin, H., Lee, J. C. K., & Zhang, Z. (2009). Examining Hong Kong students’ motivational beliefs, strategy use and their relations with two relational factors in classrooms. Educational Psychology, 29, 685–700.

    Article  Google Scholar 

  • Yung, B. H. W., Wong, S. L., Cheng, M. W., Lo, F. Y., & Hodson, D. (2008). Preparing students for examination. In Y. J. Lee & A. L. Tan (Eds.), Science education at the nexus of theory and practice (pp. 181–201). Rotterdam: Sense Publishers.

    Google Scholar 

  • Zimmerman, B. J., & Cleary, T. J. (2006). Adolescents’ development of personal agency: the role of self-efficacy beliefs and self-regulatory skills. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 45–69). Greenwich: Information Age.

    Google Scholar 

  • Zusho, A., Pintrich, P. R., & Coppola, B. (2003). Skill and will: the role of motivation and cognition in the learning of college chemistry. International Journal of Science Education, 25(9), 1081–1094.

    Article  Google Scholar 

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  1. Department of Curriculum and Instruction, The Chinese University of Hong Kong, Shatin, Hong Kong

    Derek Cheung

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Cheung, D. The Combined Effects of Classroom Teaching and Learning Strategy Use on Students’ Chemistry Self-Efficacy. Res Sci Educ 45, 101–116 (2015). https://doi.org/10.1007/s11165-014-9415-0

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