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Predictors and outcomes of situational interest during a science learning task

Abstract

In this study we examined change in students’ situational interest as a function of student and task characteristics. Fifth- and sixth-graders (n = 52) were assigned to one of two task conditions that used a different version of a science simulation. The versions differed in how concrete vs. abstract the simulation elements were. Students’ prior knowledge, achievement goal orientations, and subject-specific interest were assessed before the task and situational interest was measured repeatedly in different phases of the task. Post-task performance was assessed 1 day after the task. The results showed different mean-level changes in situational interest in the two task conditions; students working with the more concrete version of the simulation reported increase in their interest while the opposite was true for students working with the more abstract version. The ratings of situational interest were nevertheless rather stable over time, regardless of the task condition. Students’ situational interest at the beginning of the task was predicted by mastery-intrinsic goal orientation and subject-specific interest. Post-task performance was predicted by prior knowledge and the task condition; students working in the more concrete task condition performed better. The importance of acknowledging both individual characteristics and task elements in the emergence of students’ situational interest is discussed.

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Notes

  1. 1.

    At the time of the data collection the fifth-graders had not yet had classes of physics taught as a separate school subject (in Finland, "environmental and natural sciences" covers physics instruction until the 5th grade). We therefore made an attempt to assess students’ interest in physics by referring to "environmental and natural sciences". However, this item turned out to be overly confusing to the students, due to which it was omitted from further analyses.

References

  1. Ainley, M., Corrigan, M., & Richardson, N. (2005). Students, tasks and emotions: Identifying the contribution of emotions to students’ reading of popular culture and popular science texts. Learning and Instruction, 15, 433–447.

  2. Ainley, M., & Hidi, S. (2002). Dynamic measures for studying interest and learning. In P. R. Pintrich & M. L. Maehr (Eds.), Advances in motivation and achievement: New directions in measures and methods (Vol. 12, pp. 43–76). Amsterdam: JAI.

  3. Ainley, M. D., Hidi, S., & Berndorff, D. (2002). Interest, learning, and the psychological processes that mediate their relationship. Journal of Educational Psychology, 94, 545–561.

  4. Ainley, M., & Patrick, L. (2006). Measuring self-regulated learning processes through tracking patterns of student interaction with achievement activities. Educational Psychology Review, 18, 267–286.

  5. Alexander, P. A., Jetton, T. L., & Kulikowich, J. M. (1995). Interrelationship of knowledge, interest, and recall: Assessing a model of domain learning. Journal of Educational Psychology, 87, 559–575.

  6. Aunio, P., & Niemivirta, M. (2010). Predicting children’s mathematical performance in grade one by early numeracy. Learning and Individual Differences, 20, 427–435.

  7. Chen, A., Darst, P. W., & Pangrazi, R. P. (2001). An examination of situational interest and its sources. British Journal of Educational Psychology, 71, 383–400.

  8. Chen, A., & Shen, B. (2004). A web of achieving in physical education: Goals, interest, outside-school activity and learning. Learning and Individual Differences, 14, 169–182.

  9. Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Macoulides (Ed.), Modern methods for business research (pp. 295–336). Mahwah: Lawrence Erlbaum Associates.

  10. Durik, A. M., & Matarazzo, K. L. (2009). Revved up or turned off? How domain knowledge changes the relationship between perceived task complexity and task interest. Learning and Individual Differences, 19, 155–159.

  11. Electricity Exploration Tool. Adobe1 Flash application. (2003). Brighton, UK: digitalbrain plc.

  12. Goldstone, R. L., & Son, J. Y. (2005). The transfer of scientific principles using concrete and idealized simulations. The Journal of the Learning Sciences, 14, 69–110.

  13. Grant, H., & Dweck, C. S. (2003). Clarifying achievement goals and their impact. Journal of Personality and Social Psychology, 85, 541–553.

  14. Harackiewicz, J. M., Barron, K. E., Tauer, J. M., Carter, S. M., & Elliot, A. J. (2000). Short-term and long-term consequences of achievement goals in college: Predicting continued interest and performance over time. Journal of Educational Psychology, 92, 316–330.

  15. Harackiewicz, J. M., Barron, K. E., Tauer, J. M., & Elliot, A. J. (2002). Predicting success in college: A longitudinal study of achievement goals and ability measures as predictors of interest and performance from freshman year through graduation. Journal of Educational Psychology, 94, 562–575.

  16. Harackiewicz, J. M., Durik, A. M., Barron, K. E., Linnenbrink Garcia, L., & Tauer, J. M. (2008). The role of achievement goals in the development of interest: Reciprocal relations between achievement goals, interest, and performance. Journal of Educational Psychology, 100, 105–122.

  17. Hidi, S. (2006). Interest: A unique motivational variable. Educational Research Review, 1, 69–82.

  18. Hidi, S., & Berndorff, D. (1998). Situational interest and learning. In L. Hoffmann, A. Krapp, K. A. Renninger, & J. Baumert (Eds.), Interest and learning: Proceedings of the Seeon Conference on Interest and Learning (pp. 74–90). Kiel: Institute for Science Education at the University of Kiel (IPN).

  19. Hidi, S., & Harackiewicz, J. M. (2000). Motivating the academically unmotivated: A critical issue for the 21st century. Review of Educational Research, 70, 151–179.

  20. Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41, 111–127.

  21. Hoffmann, L. (2002). Promoting girls’ interest and achievement in physics classes for beginners. Learning and Instruction, 4, 447–465.

  22. Huang, C. (2011). Achievement goals and achievement emotions: A meta-analysis. Educational Psychology Review, 23, 359–388.

  23. Hulleman, C. S., Godes, O., Hendricks, B. L., & Harackiewicz, J. M. (2010). Enhancing interest and performance with a utility value intervention. Journal of Educational Psychology, 102, 880–895.

  24. Kaplan, A., & Maehr, M. L. (2007). The contributions and prospects of goal orientation theory. Educational Psychology Review, 19, 141–184.

  25. Kluge, A. (2007). Experiential learning methods, simulation complexity and their effects on different target groups. Journal of Educational Computing Research, 3, 323–349.

  26. Krapp, A. (2002). Structural and dynamic aspects of interest development: Theoretical considerations from an ontogenetic perspective. Learning and Instruction, 12, 383–409.

  27. Krapp, A. (2007). An educational-psychological conceptualisation of interest. International Journal for Vocational and Educational Guidance, 7, 5–21.

  28. Krapp, A., & Prenzel, M. (2011). Research on interest in science: Theories, methods, and findings. International Journal of Science Education, 33, 27–50.

  29. Larsen, R. J., & Fredrickson, B. L. (1999). Measurement issues in emotion research. In D. Kahneman, E. Diener, & N. Schwarz (Eds.), Well-being: Foundations of hedonic psychology (pp. 40–60). New York: Russell Sage.

  30. Meece, J. L., Glienke, B. B., & Burg, S. (2006). Gender and motivation. Journal of School Psychology, 44, 351–373.

  31. Mikk, J., & Kukemelk, H. (2010). The relationship of text features to the level of interest in science texts. TRAMES: A Journal of the Humanities & Social Sciences, 14(64/59), 54–70.

  32. Mitchell, M. (1993). Situational interest: Its multifaceted structure in the secondary school mathematics classroom. Journal of Educational Psychology, 85, 424–436.

  33. Moos, D. C., & Azevedo, R. (2008). Exploring the fluctuation of motivation and use of self-regulatory processes during learning with hypermedia. Instructional Science, 36, 203–231.

  34. Moos, D. C., & Marroquin, E. (2010). Multimedia, hypermedia, and hypertext: Motivation considered and reconsidered. Computers in Human Behavior, 26, 265–276.

  35. Murphy, P., Lunn, S., & Jones, H. (2006). The impact of authentic learning on students’ engagement with physics. Curriculum Journal, 3, 229–246.

  36. Murphy, P., & Whitelegg, E. (2006). Girls and physics: Continued barriers to ‘belonging’. Curriculum Journal, 3, 281–305.

  37. Nicholls, J. G. (1989). The competitive ethos and democratic education. Cambridge: Harvard University Press.

  38. Niemivirta, M. (2002). Motivation and performance in context: The influence of goal orientations and instructional setting on situational appraisals and task performance. Psychologia, 45, 250–270.

  39. Niemivirta, M., & Tapola, A. (2007). Self-efficacy, interest, and task performance: Within-task changes, mutual relationships, and predictive effects. Zeitschrift fuer Paedagogische Psychologie, 21, 241–250.

  40. Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology, 45, 255–287.

  41. Palmer, D. H. (2009). Student interest generated during an inquiry skills lesson. Journal of Research in Science Teaching, 46, 147–165.

  42. Pintrich, P. R. (2000). An achievement goal theory perspective on issues in motivation terminology, theory and research. Contemporary Educational Psychology, 25, 92–104.

  43. Renninger, K. A., Ewen, L., & Lasher, A. K. (2002). Individual interest as context in expository text and mathematical word problems. Learning and Instruction, 12, 467–491.

  44. Ronen, M., & Eliahu, M. (2000). Simulation – a bridge between theory and reality: the case of electric circuits. Journal of Computer Assisted Learning, 16, 14–26.

  45. Rotgans, J. I., & Schmidt, H. G. (2011). Situational interest and academic achievement in the active-learning classroom. Learning and Instruction, 21, 58–67.

  46. Sadoski, M. (2001). Resolving the effects of concreteness on interest, comprehension, and learning important ideas from text. Educational Psychology Review, 13, 263–281.

  47. Sadoski, M., Goetz, E. T., & Rodriguez, M. (2000). Engaging texts: Effects of concreteness on comprehensibility, interest and recall in four text types. Journal of Educational Psychology, 92, 85–95.

  48. Sansone, C., & Thoman, D. T. (2005). Interest as the missing motivator in self-regulation. European Psychologist, 10, 175–186.

  49. Schraw, G., & Lehman, S. (2001). Situational interest: A review of the literature and directions for future research. Educational Psychology Review, 13, 23–52.

  50. Smith, J. L., Sansone, C., & White, P. H. (2007). The stereotyped task engagement process: The role of interest and achievement motivation. Journal of Educational Psychology, 99, 99–114.

  51. Son, J. Y., & Goldstone, R. L. (2009). Fostering general transfer with specific simulations. Pragmatics and Cognition, 17, 1–42.

  52. Tsai, Y., Kunter, M., Lüdtke, O., Trautwein, U., & Ryan, R. M. (2008). What makes lessons interesting? The role of situational and individual factors in three school subjects. Journal of Educational Psychology, 100, 460–472.

  53. Tuominen-Soini, H., Salmela-Aro, K., & Niemivirta, M. (2008). Achievement goal orientations and subjective well-being: A person-centred analysis. Learning and Instruction, 18, 251–266.

  54. Tuominen-Soini, H., Salmela-Aro, K., & Niemivirta, M. (2011). Stability and change in achievement goal orientations: A person-centered approach. Contemporary Educational Psychology, 36, 82–100.

  55. Veermans, M., & Tapola, A. (2004). Primary school students’ motivational profiles in longitudinal settings. Scandinavian Journal of Educational Research, 48, 373–395.

  56. Vollmeyer, R., & Rheinberg, F. (2000). Does motivation affect performance via persistence? Learning and Instruction, 10, 293–309.

  57. Wade, S. E. (2001). Research on importance and interest: Implications for curriculum development and future research. Educational Psychology Review, 13, 243–261.

  58. Wilhelm, P., & Beishuizen, J. J. (2003). Content effects in self-directed inductive learning. Learning and Instruction, 13, 381–402.

  59. Zhu, X., Chen, A., Ennis, C., Sun, H., Hopple, C., Bonello, M., et al. (2009). Situational interest, cognitive engagement and achievement in physical education. Contemporary Educational Psychology, 34, 221–229.

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Acknowledgments

This research was supported by funding from the Doctoral Programme for Multidisciplinary Research on Learning Environments and a grant from the Finnish Cultural Foundation to the first author, by grants from the Academy of Finland to the second (117264) and third (109193, 111799) author, and a grant from the University of Helsinki to the third author. The study was conducted within the COSILAB project (Academy of Finland, grant nr: 252580). We thank Jean-Baptiste Dayez from the Université catholique de Louvain for his comments on an earlier version of this paper.

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Correspondence to Anna Tapola.

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Tapola, A., Veermans, M. & Niemivirta, M. Predictors and outcomes of situational interest during a science learning task. Instr Sci 41, 1047–1064 (2013). https://doi.org/10.1007/s11251-013-9273-6

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Keywords

  • Motivation
  • Interest
  • Achievement goal orientation
  • Science learning