COGNITIVE, AFFECTIVE AND CONATIVE MODEL FOR ANALYSING HIGHER EDUCATION STUDENTSq

Authors

  • PRIYAADHARSHINI MANICKAVASAGAM School of Computing Science and Engineering, VIT University, Chennai, Tamil Nadu, India
  • Swati S Surwade School of Computing Science and Engineering, VIT University, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19592

Keywords:

Cognitive, Affective, Conative, Moodle, Nil

Abstract

Many models are used in recent years to analyze behavior of the students in the higher education. Analyzing the learning style and student performance in academic studies are very essential to enhance their performance. This research work is focused on analyzing the learners behavior using three dimensions, i.e., cognitive, affective, and conative model. In this paper, we used Moodle learning management system which is a learning platform to create a personalized learning environment and to track learning abilities using activities. This model will be helpful to study the cognitive, conative, and emotions of students.

 

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References

Agapito D, Valle P, Mendes J. Cognitive-affective-conative model of destination image: A confirmatory analysis. J Travel Tour Mark 2003;30:471-81.

Wijaya BS. The development of hierarchy of effect model. Int Res J Bus Stud 2012;5(1):73-85.

Laschke C. Effect of future mathematic teacher’s affective, cognitive and socio-demographic characteristics on their knowledge at the end of teacher education in Germany and Taiwan. Int J Sci

;11(4):895-921.

Paimin AN. An Exploration of the Conative Domain among Engineering Students. Education Symposium; 2009.

Wefer SH. Identification of Students Content Mastery and Cognitive and Affective Percepts of a Bioinformatics Miniunit. New York: Springer Science; 2008.

Pasen RM. Different Administrative Directions and Student Ratings of Instruction: Cognitive Versus Affective Effects. New York: Springer Science; 2009.

Turner JE. Focusing on the Complexity of Emotion Issues in Academic Learning: A Dynamical Component Systems Approach. New York: Springer Science+Business Media, LLC; 2006.

Graf S, Kinshuk, Liu TC. Supporting Teachers in Identifying Students’ Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach. New York: Springer Science+Buisness Media BV; 2012.

Paimin AN. An exploration of the conative domain among engineering students. Proceedings of the Research in Engineering Education Symposium, Palm Cove, QLD; 2009.

Blömeke S, Suhl U, Kaiser G, Döhrmann M. Family background, entry selectivity and opportunities to learn: What matters in primary teacher education? International comparison of fifteen countries. Teach Teach Educ 2012;28:44-55.

Published

01-04-2017

How to Cite

MANICKAVASAGAM, P. ., and S. S. Surwade. “COGNITIVE, AFFECTIVE AND CONATIVE MODEL FOR ANALYSING HIGHER EDUCATION STUDENTSq”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 13, Apr. 2017, pp. 133-6, doi:10.22159/ajpcr.2017.v10s1.19592.

Issue

Section

Original Article(s)