Adapting player styles to enhance learning and retention in high school science education

IF 2.6 Q1 EDUCATION & EDUCATIONAL RESEARCH E-Learning and Digital Media Pub Date : 2024-03-22 DOI:10.1177/20427530241239409
Mahsa Moradi, Y. Mahdavinasab, Mahboobe Mehrvarz
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Abstract

The impact of player styles in game-based learning on academic performance is a significant consideration, with the exploratory style being one of these styles. Despite the initial random sampling of 60 tenth-grade students to ensure unbiased representation, the sampling method became purposeful as students with the exploratory player style were selectively placed in the first experimental group. Pre-test data, collected using Bartle’s player styles questionnaire, informed the categorization of students into groups based on their styles, enhancing sampling accuracy. The Explorer player style students formed one group, while students with other styles constituted a separate group. All students completed the Player Styles questionnaire and a pre-learning test. Subsequently, an exploratory-style game was provided to all students, followed by learning and retention tests. The data analysis method employed for this study was MANCOVA. The outcomes of the multivariate analysis of covariance (MANCOVA) demonstrate a substantial multivariate F value of 7.075 (df = 2) with a significant level at p < .05. This outcome substantiates the existence of a notable distinction between the students belonging to the first group (exemplifying the explorer player style) and those in the second experimental group (encompassing the socializer, achiever, and killer player styles) concerning the dependent variables (learning and retention). The observed distinction is in favor of the first experimental group, underscoring the potential influence of player styles on the variables under consideration.
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调整玩家风格,提高高中科学教育的学习效果和保持率
在基于游戏的学习中,玩家风格对学习成绩的影响是一个重要的考虑因素,而探索型风格就是其中之一。尽管最初随机抽取了 60 名十年级学生,以确保无偏见的代表性,但由于具有探索型玩家风格的学生被有选择性地安排到了第一实验组,这种抽样方法就变得有目的性了。使用 Bartle 球员风格问卷收集的前测数据为根据学生风格将其分组提供了依据,从而提高了抽样的准确性。探索者球员风格的学生组成一组,其他风格的学生组成另一组。所有学生都完成了玩家风格问卷和学前测试。随后,向所有学生提供了一个探索型游戏,并进行了学习和保持测试。本研究采用的数据分析方法是 MANCOVA。多变量协方差分析(MANCOVA)的结果显示,多变量 F 值为 7.075(df = 2),显著水平为 p <.05。这一结果证明,在因变量(学习和保持)方面,第一实验组(探索者风格)和第二实验组(社交者风格、成就者风格和杀手风格)的学生之间存在明显的差异。观察到的差异有利于第一实验组,这说明了玩家风格对变量的潜在影响。
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来源期刊
E-Learning and Digital Media
E-Learning and Digital Media EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
4.30
自引率
0.00%
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0
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