Abstract
Teachers are widely acknowledged to play an indispensable role in enabling learners to construct purposeful knowledge structures while being engaged in carefully structured learning activities. However, many studies have reported that learners’ understanding and construction of scientific knowledge at secondary school level is truly a challenging endeavour particularly when teachers themselves hold misconceptions that act as barriers for effective facilitation of knowledge. Although well-organised instructions from the teacher can support the learning process, instructional and learning theories from various theoretical perspectives have been developed to enhance the effectiveness of that process. The scope of this chapter is, however, limited to Gagné’s cognitive learning theory that can guide the instructional processes as learners develop understanding and skills to solve problems associated with a system of ‘connected particles’. Gagne’s theory includes a set of cognitive activities divided into five taxonomies: the use of verbal information, intellectual skills, motor skills, cognitive skills and attitude. In addition to these domains of learning, Gagné emphasises nine events of instruction that encompass all three of Bloom’s domains of knowledge. The nine events of instruction include gaining attention, informing objectives, stimulating recall of prior knowledge, presenting the materials, providing guidance, eliciting performance, providing feedback, assessing performance and enhancing retention of concepts. Basically, this chapter outlines how an in-service secondary mathematics teacher operationalises Gagné’s theory in a simulated classroom environment during the peer-microteaching course. Although the teacher planned and implemented her lesson guided by clear lesson objectives, it was observed that she did not manage to successfully accomplish the interplay among the cognitive activities and the events of instruction. Teachers, teacher educators and policymakers may find this chapter useful to inform implementation of Gagné’s theory in classroom instruction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Belikuşakh-Çardak, Ç. S. (2016). Instructional process and concepts in theory and practice. In C. Akdeniz (Ed.), Models of teaching. Singapore: Springer Science+Business Media.
Bruner, J. (1966). Towards a theory of instruction. Cambridge: Harvard University Press.
Cheung, L. (2016). Using an instructional design model to teach medical procedures. Medical Science Education, 26, 175–180. https://doi.org/10.1007/s40670-016-0228-9.
Crisp, G. T. (2012). Integrative assessment: Reframing assessement practice for current and future learning. Assessement and Evaluation in Higher Education, 37(1), 33–43.
Derry, S. J. (1996). Cognitive schema theory in the constructivist debate. Educational Phychologist, 31(3/4), 163–174.
Driscoll, M. P. (2004). Psychology of learning for instruction (3rd ed.). New York: Pearson.
Gagné, R. M. (1985). The conditions of learning and theory of instruction. Rinehart and Winston: Holt.
Gagné, R. M., & Driscoll, M. P. (1988). Essentials of learning for instruction (2nd ed.). Boston, MA: Allyn and Bacon.
Gagné, R. M., Briggs, L. J., & Wager, W. W. (1992). Principles of instructional design (4th ed.). New York: Harcourt Brace College Publishers.
Gagné, R. M., Wager, W. W., Golas, K. G., & Keller, J. (2005). Principles of instructional design. Toronto, ON: Thomson Wadsworth.
Mueller, J. (2017). Authentic assessment toolbox. Retrieved from http://jfmueller.faculty.noctrl.edu/toolbox/.
Petry, B., Mouton, H., & Reigeluth, C. M. (1987). A lesson based on the Gagne-Briaggs theory of instruction. In C. M. Reigeluth (Ed.), Instructional theories in action: Lessons illustrating selected theories and models (pp. 10–43). Hillsdale, NJ: Lawrence Eribaum Associates.
Ramma, Y., & Bholoa, A. (2018). A critical evaluation of a teacher professional development model—A case study of a pre-service physics teacher. In S. Ladage & S. Narvekar (Ed.), epiSTEME 7 (pp. 285–293). Mumbai: Cinnamon Teal. Retrieved from https://episteme7.hbcse.tifr.res.in/wp-content/uploads/2018/01/epiSTEME-7-pages-1-474-without-header.pdf.
Ramma, Y., Bholoa, A., Watts, M., & Nadal, P. (2017). Teaching and learning physics using technology: Making a case for the affective domain. Education Inquiry, 1–27. Retrieved from https://www.tandfonline.com/doi/full/10.1080/20004508.2017.1343606.
Ramma, Y., Samy, M., & Gopee, A. (2015). Creativity and innovation in science and technology—Bridging the gap between secondary and tertiary levels of education. International Journal of Educational Management, 29(1), 1–17. Retrieved from http://www.emeraldinsight.com/doi/full/10.1108/IJEM-05-2013-0076.
Ravenscroft, A. (2003). From conditioning to learning communities: Implications of fifty years of research in e-learning interaction design. Association for Learning Technology Journal, 11(3), 4–18.
Romiszowski, A. J. (2016). Designing instructional systems—Decision making in course planning and curriculum design. London: Routledge Taylor and Francis Group.
Rowland, T., Turner, F., Thwaites, A., & Huckstep, P. (2009). Developing primary mathematics teaching. Reflecting on practice with the knowledge quartet. London: SAGE Publications Ltd.
Taubman, P. M. (2009). Teaching by the numbers: Deconstructing the discourse of standards and accountability. New York: Routledge.
Thaufeega, F., Watts, D. M., & Crowe, N. (2016). Are institutes and learners ready for e-learning in the Maldives? In International Technology, Education and Development (INTED) Conference. Valencia, Spain.
van den Broek, G. S. (2012). Innovative research-based approaches to learning and teaching. Nijmegen: OECD. https://doi.org/10.1787/5k97f6x1kn0w-en.
Warren, J. W. (1979). Understanding force. London, UK: Murray.
Wieman, C., & Perkins, K. (2005). By using the tools of physics in their teaching, instructors can move students from mindless memorization to understanding and appreciation. Physics Today, 58(11), 36–50.
Zhang, W., & Lu, J. (2011). Dynamic synchronisation of teacher—Students affection in affective instruction. International Education Studies, 4(1), 238–241.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Recommended Resources
Recommended Resources
Gagné, R. M., & Brown, L. T. (1961). Some factors in the programming of conceptual learning. Journal of Experimental Psychology, 62, 313–321.
Gagné, R. M., Wager, W. W., Golas, K. G., & Keller, J. (2005). Principles of instructional design. Toronto: Thomson Wadsworth.
Martínez-Plumed, F., Ferri, C., Hernández-Orallo, J., & Ramírez-Quintana, M. J. (2015). Forgetting and consolidation for incremental and cumulative knowledge acquisition systems. https://arxiv.org/abs/1502.05615.
Warren, J. W. (1979). Understanding force. London, UK: Murray
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ramma, Y., Bholoa, A., Watts, M. (2020). Guided Discovery—Robert Gagné. In: Akpan, B., Kennedy, T.J. (eds) Science Education in Theory and Practice. Springer Texts in Education. Springer, Cham. https://doi.org/10.1007/978-3-030-43620-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-43620-9_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43619-3
Online ISBN: 978-3-030-43620-9
eBook Packages: EducationEducation (R0)