建立自适应数字游戏研究效果分析框架

Stefanie Vanbecelaere, Febe Demedts, B. Reynvoet, F. Depaepe
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引用次数: 0

摘要

自适应数字学习游戏可以提供即时反馈,将学习内容嵌入有吸引力的叙事中,并根据学生的个人需求调整教学内容,因此被认为是激励儿童学习的一种方式。尽管有研究表明,使用自适应数字教育游戏大有裨益,但目前还缺乏一个分析自适应数字游戏有效性研究的框架。在本文中,我们提出了这样一个框架,该框架考虑到了广泛的评估,并由以下方面定义:(1) 可能影响有效性的学习者变量;(2) 工具中实施的适应性;(3) 评估的学习成果。接下来,我们将利用这一框架来描述最近在 K-12 教育背景下对适应性数字游戏的有效性进行的干预研究。最后,我们总结了这种评估数字游戏有效性的框架的优点以及未来研究的前景。
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Toward a framework for analyzing adaptive digital games' research effectiveness
Adaptive digital games for learning have been introduced as a motivating way for children to learn as they can provide instant feedback, embed the learning content in an attractive narrative, and adapt instruction according to individual needs of students. Although studies showed benefits of using adaptive digital educational games, a framework for analyzing research on the effectiveness of adaptive digital games is lacking. In this paper, we propose such a framework that accounts for a broad evaluation and is defined by (1) the learner variables that can affect effectiveness, (2) the adaptivity implemented in the tool, and (3) the learning outcomes being assessed . Next, this framework is used to describe recent intervention studies on the effectiveness of adaptive digital games in the context of K-12 education. We end with some concluding thoughts on the merits of such a framework for assessing the effectiveness of digital games and perspectives for future research.
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Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles How ChatGPT can inspire and improve serious board game design Toward a framework for analyzing adaptive digital games' research effectiveness Editorial, Vol. 10, No. 4 Introduction to the Special Issue on GaLA Conf 2022
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