Skip to main content

Evaluating the Affective Dimension in Chemistry Education

  • Chapter
  • First Online:
Book cover Affective Dimensions in Chemistry Education

Abstract

Learning of scientific concepts, including chemistry concepts, is more than a cognitive process. Students’ affect consists of constructs such as attitude, interest, motivation, self-concept, values, and (6) moral values. All these six constructs play an important role in chemistry learning or chemistry education in general. Measurement of the affective domain is done through the methods of observation and self-report (e.g., using a questionnaire). The use of the observational method is based on the assumption that the affective characteristics can be seen from the behavior or deed that is shown and the psychological reactions which accompany it. The use of self-report methods is based on the assumption that it is the individual who knows the affective state of himself/herself. For the purpose of assessing the affective dimension, five principles need to be considered by a teacher/researcher. These principles are (1) the purpose of assessment, (2) what will be assessed, (3) what instruments are available, (4) the quality of the instruments, and (5) how to interpret the scores gained from the assessment process. In this chapter, I will discuss these principles.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Aikenhead, G. S. & Ryan, A. G. (1992). The Development of a New Instrument: Views on Science- Technology-Society (VOSTS). Science Education, 76(5), 477-491.

    Google Scholar 

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

    Article  Google Scholar 

  • Albarracin, D., Johnson, B. T., Zanna, M. P., & Kumkale, G. T. (2005). Attitudes: Introduction and scope. In D. Albarracin, B. T. Johnson, & M. P. Zanna (Eds.), Handbook of attitudes (pp. 3–20). Mahwah, NJ: Lawrence Erlbaum Associate, Inc.

    Google Scholar 

  • Anderson, L. W. (1981). Assessing affective characteristic in the schools. Boston, MA: Allyn and Bacon.

    Google Scholar 

  • Anderson, L. W., & Anderson, J. C. (1982). Affective assessment is necessary and possible. Educational Leadership, 39(7), 524–525.

    Google Scholar 

  • Bauer, C. F. (2005). Beyond “student attitudes”: Chemistry self-concept inventory for assessment of the affective component of student learning. Journal of Chemical Education, 82(12), 1864–1870.

    Article  CAS  Google Scholar 

  • Bennett, J. (2001). The development and use of an instrument to assess students’ attitude to the study of chemistry. International Journal of Science Education, 23(8), 833–845

    Google Scholar 

  • Bisman, C. (2004). Social work values: The moral code of the profession. British Journal of Social Work, 34(1), 109–123.

    Article  Google Scholar 

  • Bong, M., & Skaalvik, E. M. (2003). Academic self-concept and self-efficacy: How different are they really? Educational Psychology Review, 15(1), 1–40.

    Article  Google Scholar 

  • Burnett, P. C., Craven, R. G., & Marsh, H. W. (1999). Enhancing students’ self-concepts and related constructs: A critical longitudinal analysis capitalising on and combining promising enhancement techniques for educational settings. In: AARE-NZARE Conference 1999, 27 November 1999–2 December 1999, Australia, Victoria, Melbourne. Retrieved February 30, 2013, from http://www.aare.edu.au/99pap/bur99425.htm.

  • Byrne, B. M. (1984). The general/academic self-concept nomological network: A review of construct validation research. Review of Educational Research, 54(3), 427–456.

    Article  Google Scholar 

  • Coffey, J., Douglas, R., & Stearns, C. (2008). Assessing science learning: Perspectives from research and practice. Arlington, VA: NSTA Press.

    Google Scholar 

  • Creswell, J. W. (2008). Educational research: Planning, conducting and evaluating quantitative and qualitative research (3rd ed.). Upper Saddle River, NJ: Pearson Education, Inc.

    Google Scholar 

  • Csikszentmihalyi, M. (2000). Beyond boredom and anxiety: Experiencing flow in work and play. San Francisco, CA: Jossey-Bass, Inc.

    Google Scholar 

  • Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace Jovanovich.

    Google Scholar 

  • Forgas, J. P. (2001). Introduction: Affect and social cognition. In J. P. Forgas (Ed.), Handbook of affect and social cognition (pp. 1–22). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.

    Google Scholar 

  • Fowler, S. R., Zeidler, D. L., & Sadler, T. D. (2009). Moral sensitivity in context of socioscientific issues in high school science students. International Journal of Science Education, 31(2), 279–296.

    Article  Google Scholar 

  • Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th ed.). New York: McGraw-Hill.

    Google Scholar 

  • Fraser, B. J. (1981). TOSRA test of science-related attitudes handbook. Hawthorn, Victoria, Australia: Australian Council for Educational Research. Retrieved March 12, 2013, from http://www.ecu.edu/ncspacegrant/docs/RESTEPdocs/TOSRA_BJF_paper.pdf.

  • Frey, R. (1994). Eye juggling: Seeing the world through a looking glass and a glass pane (A workbook for clarifying and interpreting values). London: University Press of America.

    Google Scholar 

  • Frey, R. (1995). Eye juggling: Seeing the world through a looking glass and a glass pane. London: University Press of America.

    Google Scholar 

  • Garner, R. (1992). Learning from school texts. Educational Psychologist, 27, 53–63.

    Article  Google Scholar 

  • Garritz, A. (2010). Pedagogical content knowledge and the affective domain of scholarship of teaching and learning. International Journal for the Scholarship of Teaching and Learning, 4(2). Retrieved February 28, 2013, from http://www.georgiasouthern.edu/ijsotl.

  • Germann, P. J. (1988). Development of the attitude toward science in school assessment and its use to investigate the relationship between science achievement and attitude toward science in school. Journal of Research in Science Teaching, 25(8), 689–703.

    Article  Google Scholar 

  • Glynn, S. M., & Koballa, T. R., Jr. (2006). Motivation to learn college science. In J. J. Mintzes & W. H. Leonard (Eds.), Handbook of college science teaching (pp. 25–32). Arlington, VA: NSTA Press.

    Google Scholar 

  • Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Review of Educational Research, 60, 549–572.

    Article  Google Scholar 

  • Hidi, S., & Renninger, K. (2006). The four-phase model of interest development. Educational psychologist, 41(2), 111–127.

    Article  Google Scholar 

  • Hidi, S., Renninger, K. A., & Krapp, A. (1992). The present state of interest research. In K. A. Renninger, S. Hidi, & A. Krapp (Eds.), The role of interest in learning and development. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Higuchi, C. (1995). Critical issue: Integrating assessment and instruction in ways that support learning. Retrieved from http://www.ncrel.org/sdrs/areas/issues/methods/assment/as500.htm; http://www.ncrel.org/sdrs/areas/issues/methods/assment/char.htm

  • Holbrook, J. (2005). Making chemistry teaching relevant. Chemical Education International, 6(1), 1–12. Retrieved February 28, 2013, from http://www.iupac.org/publications/cei.

  • Krathwohl, D. R., Bloom, B. S., & Masia, B. B. (1964). Taxonomy of educational objectives: Handbook II: Affective domain. New York: David McKay Co.

    Google Scholar 

  • McLeod, D. B. (1992). Research on affect in mathematics education: A reconceptualization. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 575–596). New York: Macmillan.

    Google Scholar 

  • Murphy, P. K., & Alexander, P. (2000). A motivated exploration of motivation terminology. Contemporary Educational Psychology, 25(1), 3–53. Retrieved January 3, 2013, from http://www.idealibrary.com.

  • Neuman, K., & Friedman, B. (2010). Affective learning: A taxonomy for teaching social work values. Journal of Social Work Values and Ethics, 7(2). Retrieved January 3, 2013, from http://www.socialworker.com/jswve.

  • Nieswandt, M. (2007). Student affect and conceptual understanding in learning chemistry. Journal of Research in Science Teaching, 44(7), 908–937.

    Article  Google Scholar 

  • Oliver-Hoyo, M. T., & Allen, D. D. (2005). Attitudinal effects of a student-centered active learning environment. Journal of Chemical Education, 82(6), 944–949.

    Article  CAS  Google Scholar 

  • Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25(9), 1049–1079.

    Article  Google Scholar 

  • Pajares, F., & Schunk, D. (2001). Self-beliefs and school success: Self-efficacy, self-concept, and school achievement. In R. Riding & S. Rayner (Eds.), Perception (pp. 239–266). London: Ablex.

    Google Scholar 

  • Palmer, D. H. (2009). Student interest generated during an inquiry skills lesson. Journal of Research in science Teaching, 46(2), 147–165.

    Article  Google Scholar 

  • Rahayu, S., Chandrasegaran, A. L., Treagust, D. F., Kita, M., & Ibnu, S. (2011). Understanding acid–base concept: Evaluating the efficacy of a senior high school student-centred instructional program. International Journal of Science and Mathematics Education, 9(6), 1439–1483.

    Article  Google Scholar 

  • Ramsden, J. M. (1998). Mission impossible? Can anything be done about attitudes to science? International Journal of Science Education, 20(2), 125–137.

    Article  Google Scholar 

  • Reiss, M. J. (2005). The importance of affect in science education. In S. Alshop (Ed.), Beyond Cartesian dualism (pp. 17–25). Dordrecht, Netherlands: Springer.

    Chapter  Google Scholar 

  • Renninger, K. A. (2000). Individual interest and its implications for understanding intrinsic motivation. In C. Sansone & J. M. Harackiewicz (Eds.), Intrinsic and extrinsic motivation: The search for optimum motivation and performance (pp. 373–404). New York: Academic.

    Chapter  Google Scholar 

  • Rokeach, M. (1973). The nature of human values. New York: Free Press.

    Google Scholar 

  • Schiefele, U. (1999). Interest and learning from text. Scientific Studies Reading, 3, 257–280.

    Article  Google Scholar 

  • Schlöglmann, W. (2010). Categories of affect—Some remarks. Proceedings of CERME 6, January 28th-February 1st 2009, Lyon France © INRP 2010. Retrieved December 20, 2012, from www.Inrp.Fr/Editions/Cerme6.

  • Tej, P. (1990). Authentic mathematics assessment. Practical assessment, research and evaluation. Retrieved January 20, 2013, from http://ericae.net/pare.

  • White, H. B., Brown, S. D., & Johnstone, M. V. (2005). Contemporary moral problems in chemistry: Effect of peer presentations on students’ awareness of science and society issues. Journal of Chemical Education, 82(10), 1570–1576.

    Article  CAS  Google Scholar 

  • Wise, K. C. (1996). Strategies for teaching science: What works? The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 69(6), 337–338.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sri Rahayu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Rahayu, S. (2015). Evaluating the Affective Dimension in Chemistry Education. In: Kahveci, M., Orgill, M. (eds) Affective Dimensions in Chemistry Education. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45085-7_2

Download citation

Publish with us

Policies and ethics