Motivational Game-Theme Based Instructional Module for Teaching Binary Tree and Linked List

Sarika Rajeev; Sharad Sharma

doi:10.29007/1pg5

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Motivational Game-Theme Based Instructional Module for Teaching Binary Tree and Linked List

10 pages•Published: September 26, 2019

Sarika Rajeev and Sharad Sharma

Abstract

Game theme based learning modules will revolutionize education because it increases motivation and engagement of students as they learn interactively. This study is aimed to assess the perceived motivation and engagement of undergraduate students for game theme based learning in introductory programming courses. This paper presents the design, implementation, and evaluation of a game theme-based instructional (GTI) module to teach linked list and binary tree data structure. We have used FDF (four- dimensional framework) with a minor extension for the design and development of GTI modules. The design of the GTI module is modeled on the constructive approach of learning. The purpose of this paper is to overcome the intellectual crisis by providing a new way of thinking and learning. We have evaluated the GTI modules based on the five components of Science Motivation Questionnaire II (SMQII). The results of the evaluation of GTI modules show that the students feel self-determined and motivated towards their learning and career.

Keyphrases: Educational Modules, game theme-based learning, GTI, SMQII, Virtual Reality

In: Frederick C. Harris Jr, Sergiu Dascalu, Sharad Sharma and Rui Wu (editors). Proceedings of 28th International Conference on Software Engineering and Data Engineering, vol 64, pages 31--40

Links:	https://easychair.org/publications/paper/J1ql
	https://doi.org/10.29007/1pg5

BibTeX entry

@inproceedings{SEDE2019:Motivational_Game_Theme_Based_Instructional,
  author    = {Sarika Rajeev and Sharad Sharma},
  title     = {Motivational Game-Theme Based Instructional Module for Teaching Binary Tree and Linked List},
  booktitle = {Proceedings of 28th International Conference on Software Engineering and Data Engineering},
  editor    = {Frederick Harris and Sergiu Dascalu and Sharad Sharma and Rui Wu},
  series    = {EPiC Series in Computing},
  volume    = {64},
  pages     = {31--40},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/J1ql},
  doi       = {10.29007/1pg5}}

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