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Using Feedback to Support Learning Statistics in Higher Education Within a Game-Based Learning Environment

EasyChair Preprint no. 10208

7 pagesDate: May 18, 2023

Abstract

Learning statistics is a tedious task and students show a lack of motivation in learning this subject. Game-based learning (GBL) can be efficiently used to enrich the learning experience and can help enhance the curiosity and motivation of learners to keep them engaged. Enhancing curiosity and motivation in a GBL environment through effective feedback can address the issues related to statistics education. We have developed a statistical game consisting of four levels comprising of questions developed using Bloom’s taxonomy. The game weaves a story around three United Nations Sustainable Development Goals (UN SDGs) related to poverty, education, and health, and utilizes feedback mechanisms to enhance curiosity and motivation in the learners to sustain engagement during the gameplay. This paper reports on the design of the game supported by a conceptual feedback framework from a psychological perspective to enhance learners’ curiosity and motivation.

Keyphrases: feedback, game-based learning, immersive learning, self-deterministic theory, statistics

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:10208,
  author = {Anupam Makhija and Meena Jha and Deborah Richards and Ayse Bilgin},
  title = {Using Feedback to Support Learning Statistics in Higher Education Within a Game-Based Learning Environment},
  howpublished = {EasyChair Preprint no. 10208},

  year = {EasyChair, 2023}}
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