Pedagogical agent design for K-12 education: A systematic review

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Shan Zhang , Chris Davis Jaldi , Noah L. Schroeder , Alexis A. López , Jessica R. Gladstone , Steffi Heidig
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引用次数: 0

Abstract

Pedagogical agents (PAs) are increasingly being integrated into educational technologies. Although previous reviews have examined the impact of PAs on learning and learning-related outcomes, it still remains unclear what specific design features, social cues, and other contextual elements of PA implementation can optimize the learning process. These questions are even more prevalent with regards to the K-12 population, as most reviews to date have largely focused on post-secondary learners. To address this gap in the literature, we systematically review empirical studies around the design of PAs for K-12 learners. After reviewing 1374 studies for potential inclusion, we analyzed 44 studies that met our inclusion criteria using Heidig and Clarebout's (2011) frameworks. Our findings showed that learners had preferences for specific types of PAs. While these preferences were not always associated with increased learning outcomes, there is a lack of research specifically investigating the intersection of perceptions and learning. Our results also showed that pedagogical strategies that are effective for human teachers were effective when used by PAs. We highlight what specific design features instructional designers can use to design PAs for K-12 learners and discuss promising research directions based on the extant work in the field.
针对 K-12 教育的教学代理设计:系统回顾
教学代理(PA)正越来越多地被整合到教育技术中。尽管之前的评论已经研究了教学代理对学习和学习相关结果的影响,但目前仍不清楚教学代理的具体设计特点、社会线索和其他实施环境因素能够优化学习过程。这些问题在 K-12 阶段的人群中更为普遍,因为迄今为止的大多数综述主要集中在中学后的学习者身上。为了弥补文献中的这一空白,我们系统性地回顾了有关 K-12 阶段学习者学习方法设计的实证研究。在审查了 1374 项可能纳入的研究后,我们使用 Heidig 和 Clarebout(2011 年)的框架分析了 44 项符合纳入标准的研究。我们的研究结果表明,学习者对特定类型的学习活动有偏好。虽然这些偏好并不总是与学习效果的提高相关联,但缺乏专门调查认知与学习之间交叉关系的研究。我们的研究结果还表明,对人类教师有效的教学策略在教师使用时也很有效。我们强调了教学设计者在为 K-12 学习者设计 PA 时可以使用的具体设计特征,并根据该领域的现有工作讨论了有前景的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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