Design and Development of Concept Assessment Tool (CAT):A Concept Inventory

Authors

  • Akhil Sachan School of Computer Science and Engineering, K.L.E. Technological University, Vidyanagar, Hubli - 580031
  • G. N. Bhadri Department of Mathematics, K.L.E. Technological University, Vidyanagar, Hubli - 580031
  • Javeed Kittur Department of Engineering Education and System Design, Arizona State University, Tempe 85287

DOI:

https://doi.org/10.16920/jeet/2019/v33i1/141764

Keywords:

Concept, Concept Inventory, Misconception, Pedagogy.

Abstract

The stereotyped instruction system is the traditional method of imparting instructions. This method imparts the information without knowing the existing level of understating of the learner. This leads to a series of misconceptions. A concept inventory identifies the misconceptions with respect to important concepts. This paper aims at assessing the students' prior knowledge and identifying misconceptions. It uses concept inventory as a tool to overcome misconceptions. The change in conceptual development is measured.

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Published

2019-07-31

How to Cite

Sachan, A., Bhadri, G. N., & Kittur, J. (2019). Design and Development of Concept Assessment Tool (CAT):A Concept Inventory. Journal of Engineering Education Transformations, 16–21. https://doi.org/10.16920/jeet/2019/v33i1/141764

Issue

Volume 33, Issue 1, July 2019

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

References

Evans, D. L., & Hestenes, D. (2001). The concept of the concept inventory assessment instrument. In frontiers in education conference, 2001. 31st annual (Vol. 2, pp. F2A-F21). IEEE.

Chen, J. C., Kadlowec, J., & Whittinghill, D. (2004). Work in progress: Combining concept inventories with rapid feedback to enhance learning.

Streveler, R. A., Brown, S., Herman, G. L., & Montfort, D. (2014). Conceptual change and misconceptions in engineering education: Curriculum, measurement, and theory-focused approaches. Cambridge handbook of engineering education research (CHEER), 83-102.

Felder, R. M., & Brent, R. (2004, June). The ABC's of engineering education: ABET, Bloom's taxonomy, cooperative learning, and so on. In Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition (Vol. 1)

Wittie, L., Kurdia, A., &Huggard, M. (2017, October). Developing a concept inventory for Journal of Engineering Education Transformations , Volume 33 , No.1, July 2019, ISSN 2349-2473, eISSN 2394-1707 21 computer science 2. In Frontiers in Education Conference (FIE) (pp. 1-4). IEEE

Streveler, R. A., Brown, S., Herman, G. L., & Montfort, D. (2014). Conceptual change and misconceptions in engineering education: Curriculum, measurement, and theory-focused approaches. Cambridge handbook of engineering education research (CHEER), 83-102.

Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of educational psychology, 84(3), 261.

Chinn, C. A., & Brewer, W. F. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. Review of educational research, 63(1), 1-49.

Kessler, F. (1995). Team decision making: pitfalls and procedures. Management Development Review, 8(5), 38-40

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