使用聊天机器人支持学生在完全在线活动中的目标设定和社交存在:学习者参与和感知。

IF 4.5 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Computing in Higher Education Pub Date : 2023-01-01 DOI:10.1007/s12528-022-09338-x
Khe Foon Hew, Weijiao Huang, Jiahui Du, Chengyuan Jia
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引用次数: 28

摘要

尽管在世界许多地方,完全在线学习已成为“新常态”,但它的实施往往受到各种挑战的困扰,如学生缺乏自我监管和孤立感。在本文中,我们探讨了在在线活动中使用聊天机器人来支持学生的目标设定(研究1)和社交存在(研究2)。在研究1中,一个完全在线课程的参与者被邀请在上课前通过目标设定聊天机器人完成一个目标设定活动。聊天机器人根据SMART(具体的、可衡量的、可实现的、现实的、及时的)目标设定框架向参与者提出了五个问题。在研究2中,英语作为外语的参与者在一个完全在线的课程中被要求完成听力练习。基于社交在场框架(人际沟通、开放沟通、内聚沟通)设计学习伙伴聊天机器人,引导学生完成听力练习。在研究1和研究2中,我们通过测量参与者与聊天机器人的对话记录,以及参与者对聊天机器人的有用性和易用性的感知,来评估参与者的行为参与度。我们还收集了关于参与者对与聊天机器人互动的看法的深度访谈数据。总的来说,我们的研究结果发现,在聊天机器人的感知有用性和感知易用性方面,学习者都有积极的学习体验。我们还为教师提供了在教学中应用聊天机器人的建议。
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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Using chatbots to support student goal setting and social presence in fully online activities: learner engagement and perceptions.

Although fully online learning is now the 'new normal' in many parts of the world, its implementation is often beset by challenges such as the lack of student self-regulation, and the sense of isolation. In this paper, we explored the use of chatbots to support student goal setting (Study 1) and social presence (Study 2) in online activities. In Study 1, participants in a fully online course were invited to complete a goal setting activity prior to attending class via a goal-setting chatbot. The chatbot engaged participants with five questions developed based on the SMART (specific, measurable, achievable, realistic, and timely) goal setting framework. In Study 2, English-as-Foreign-Language participants in a fully online course were tasked to complete listening practices. The learning buddy chatbot was designed based on the social presence framework (interpersonal communication, open communication, cohesive communication) to guide students through listening exercises. In both Study 1 and 2, we evaluated participants' behavioral engagement by measuring their conversation records with the chatbots, as well as participants' perceived usefulness and ease of use of the chatbots. We also gathered in-depth interview data concerning the participants' perceptions of interacting with the chatbots. Overall, our findings found positive learner experiences with both chatbots with regard to the chatbots' perceived usefulness and perceived ease of use. We also provided suggestions for instructors to apply chatbots in teaching and learning.

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来源期刊
Journal of Computing in Higher Education
Journal of Computing in Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
15.10
自引率
3.60%
发文量
40
期刊介绍: Journal of Computing in Higher Education (JCHE) contributes to our understanding of the design, development, and implementation of instructional processes and technologies in higher education. JCHE publishes original research, literature reviews, implementation and evaluation studies, and theoretical, conceptual, and policy papers that provide perspectives on instructional technology’s role in improving access, affordability, and outcomes of postsecondary education.  Priority is given to well-documented original papers that demonstrate a strong grounding in learning theory and/or rigorous educational research design.
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