K-Means Clustering of Learners' Cognitive Domain Measured Using Bloom's Taxonomy-based Serious Game

  • I.N Sukajaya
  • I.K.E Purnama
  • Mauridhy Hery Purnomo

Abstract

Cooperative learning is a learning approach which is commonly implemented in classroom
management. A group/cluster could be learners of homogeneous or heterogeneous
cognitive domain. Whether the groups which are created are homogeneous or
heterogeneous, instructor should know well characteristic of learners in advance. In case of
a large class size and time restricted, learners' clustering is often difficult to be conducted.
That is why there is a tendency that is the probability of inappropriate value while clustering
is high. We couldn't remark that inappropriate result obtained while clustering is always
caused by lack of instructor knowledge, but limited information is also one among factors
that is potency to make contribution to the result. In this paper we proposed the usage of
Bloom's taxonomy-based serious game technology as an alternative approach of measuring
cognitive domain of learners and K-Means method to clustering. The implementation of
Bloom‘s taxonomy-based serious game collects more data which are theoretically more
representative to identify specific learner. Analysis using K-Means method was conducted
into three types of procedure: raw data, transformed data into average value without
consideration on cognitive domain of Bloom's taxonomy, and transformed data into average
value with consideration on cognitive domain of Bloom's taxonomy. K-Means clustering
method obtains a similar result for the first and third data model. This result shows that is the
integration of Bloom's taxonomy into serious game technology is potentially conducted in
measuring learners' information in learning.

How to Cite
SUKAJAYA, I.N; PURNAMA, I.K.E; HERY PURNOMO, Mauridhy. K-Means Clustering of Learners' Cognitive Domain Measured Using Bloom's Taxonomy-based Serious Game. Proceeding ICIRAD, [S.l.], v. 1, n. 1, nov. 2015. Available at: <https://eproceeding.undiksha.ac.id/index.php/icirad/article/view/144>. Date accessed: 21 oct. 2020.