Achieving Effective Learning Outcomes through the Use of Analogies in Teaching Computer Science

Pawan Saxena (), Sanjay Kumar Singh and Gopal Gupta
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Pawan Saxena: Amity Institute of Information Technology, Amity University, Lucknow 226010, Uttar Pradesh, India
Sanjay Kumar Singh: Amity Institute of Information Technology, Amity University, Lucknow 226010, Uttar Pradesh, India
Gopal Gupta: Department of Computer Science, University of Texas, Dallas, TX 75080, USA

Mathematics, 2023, vol. 11, issue 15, 1-18

Abstract: Analogy-based learning methods map the concept being learned to a concept well understood by the learner. An analogy is primarily useful when learners do not know the topic being studied. Computer science is an area where the concepts exhibit a high level of abstraction and, hence, are hard for students to comprehend. The use of analogies in instruction can significantly reduce the cognitive load a student faces in learning abstract computer science concepts. The role of analogies in helping students learn computer science topics has not been explored adequately. This paper presents our efforts related to using analogy-based teaching in computer science. Over the last several years, we have developed extensive analogies for many advanced computer science concepts. We have used these analogies extensively in classroom teaching at our institution. We list the analogies that we have developed and used in our classroom teaching and, as illustration, discuss two analogies: one from the field of operating systems and another one in modular software design. We have also conducted experiments to evaluate the impact of using these two analogies on student learning outcomes. Our results confirm our hypothesis that analogy-based instruction techniques are effective and result in improved student learning outcomes.

Keywords: analogy-based teaching; computer science education; experimental evaluation (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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