Editorial Overview

T. Liao
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Abstract

In order to design and manage more learner-centered Instructional systems, the needs and active involvement of students must be addressed. Sub-systems for promoting active learning need to be properly designed to create learning communities that integrate educational technology with quality pedagogy. In this issue, we feature a set of six papers that report on findings of research that focus on innovations such as student feedback, artificial intelligence (AI)-based conversation-based assessment (CBA), discussion groups, collaborative learning, and other aspects of effective and synergistic learning communities. This issue concludes with two papers that discuss programs that deal with the instruction of languages. In this case, the learning communities are undergraduate students from Ecuador and third-grade students from Qatar. The first two papers focus on two innovative ways of increasing student participation in learning communities. The lead paper deals with a peer critique program for graduate students. The main objective of the research is to determine the quality of the feedback that is provided in the peer review. Both the benefits and problems associated with the feedback are observed and analyzed. The paper also provides lessons learned for the re-design of peer critique programs. The second paper discusses a digital version of the CBA program for undergraduate students. In this study, a CBA system was deployed with Google Chat to support formative assessment. For faculty involved in AI-based tools such as Rasa, this paper is must reading. The next paper describes a high school learning community that tested an online experimental instructional intervention that is designed to foster intrinsic motivation. This experiment integrated active learning elements such as collaborative teamwork engagement and a student response system that addressed student questions. The fourth paper provides a report about an experiment designed to compare various ways of using group discussion to help pre-service non-traditional special education elementary school teachers to study and explore metacognition as a learning tool. The group discussion among the career-oriented learning community members was achieved via virtual simulation. The next two papers address similar types of instructional content, namely learning languages (in this case, English and Arabic). However, the members of the learning Editorial
编辑概述
为了设计和管理更加以学习者为中心的教学系统,必须解决学生的需求和积极参与。需要适当设计促进主动学习的子系统,以创建将教育技术与优质教学法相结合的学习社区。在本期中,我们将介绍一组六篇论文,这些论文报告了一些研究成果,这些研究成果侧重于学生反馈、基于人工智能(AI)的对话评估(CBA)、讨论小组、协作学习以及有效和协同学习社区的其他方面。这期的最后两篇论文讨论了处理语言教学的程序。在这种情况下,学习社区是来自厄瓜多尔的本科生和来自卡塔尔的三年级学生。前两篇论文聚焦于提高学生参与学习社区的两种创新方式。这篇论文的主要内容是针对研究生的同行评议项目。本研究的主要目的是确定同行评议中提供的反馈的质量。观察和分析与反馈相关的好处和问题。本文还为重新设计同行评议项目提供了经验教训。第二篇论文讨论了面向本科生的CBA课程的数字版本。在本研究中,CBA系统采用谷歌Chat来支持形成性评估。对于涉及基于人工智能的工具(如Rasa)的教师来说,这篇论文是必读的。下一篇论文描述了一个高中学习社区,测试了一个旨在培养内在动机的在线实验教学干预。该实验整合了主动学习元素,如协作团队参与和学生回答系统,以解决学生的问题。第四篇论文提供了一个实验报告,旨在比较利用小组讨论帮助职前非传统特殊教育小学教师学习和探索元认知作为学习工具的各种方法。通过虚拟仿真实现了职业导向学习社区成员之间的小组讨论。接下来的两篇论文涉及类似类型的教学内容,即学习语言(在这种情况下,英语和阿拉伯语)。然而,学习编辑的成员们
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