机器人学术顾问:聊天机器人和人工智能能否取代人类互动?

IF 2.4 Q1 EDUCATION & EDUCATIONAL RESEARCH
M. M. Thottoli, Badria Hamed Alruqaishi, Arockiasamy Soosaimanickam
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引用次数: 0

摘要

目的:聊天机器人和人工智能(AI)有可能减轻人类面临的一些挑战。经常忙于教学和研究的教师可能会发现,他们很难为学生提供个性化建议,从而扮演家长的角色。因此,本研究的主要目的是回顾有关聊天机器人和人工智能的文献,以了解它们在自动建议系统中的作用。作者旨在深入了解与机器人学术顾问相关的最相关话题和关注点,并找出文献中的空白点,作为进一步研究的潜在途径。设计/方法/途径:本研究采用系统的文献综述和文献计量学技术,查找了 1984 年至 2023 年间发表的 67 篇主要论文。利用 Scopus 数据库,研究人员对学术咨询中的聊天机器人和人工智能文献进行了总结。研究结果聊天机器人应用是一种很有前景的方法,可以解决个性化学生咨询与自动化之间的平衡问题。需要进行更多的实证研究,尤其是对聊天机器人和其他基于人工智能的咨询系统进行研究,以了解它们的有效性以及如何将它们整合到教育环境中。研究局限性/影响:本研究的样本量可能会限制研究结果的普遍性。此外,本研究对聊天机器人的关注可能会忽略其他人工智能技术在增强机器人学术指导系统方面的潜在优势。未来的研究可以探索机器人学术顾问在不同社会背景下的影响,从而更全面地了解其意义。实际意义:高等教育机构(HEIs)应建立一个为不同利益相关者服务的机器人学术指导系统。考虑到客户对机器人的熟悉程度,系统的聊天机器人和人工智能功能必须对用户友好。原创性/价值:本研究提供了有关机器人学术指导背后主要力量的深刻信息,阐明了最常研究的聊天机器人和人工智能在学术指导中的应用,从而有助于更好地理解高等院校对在学术指导中采用聊天机器人和人工智能的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robo academic advisor: Can chatbots and artificial intelligence replace human interaction?
Purpose: Chatbots and artificial intelligence (AI) have the potential to alleviate some of the challenges faced by humans. Faculties frequently swamped with teaching and research may find it difficult to act in a parental role for students by offering them individualized advice. Hence, the primary purpose of this study is to review the literature on chatbots and AI in light of their role in auto-advising systems. The authors aimed to gain insights into the most pertinent topics and concerns related to robo academic advisor and identify any gaps in the literature that could serve as potential avenues for further research. Design/methodology/approach: The research employs a systematic literature review and bibliometric techniques to find 67 primary papers that have been published between 1984 and 2023. Using the Scopus database, the researchers built a summary of the literature on chatbots and AI in academic advice. Findings: Chatbot applications can be a promising approach to address the challenges of balancing personalized student advising with automation. More empirical research is required, especially on chatbots and other AI-based advising systems, to understand their effectiveness and how they can be integrated into educational settings. Research limitations/implications: This research’s sample size may restrict its findings’ generalizability. Furthermore, the study’s focus on chatbots may overlook the potential benefits of other AI technologies in enhancing robo academic advising systems. Future research could explore the impact of robo academic advisors in diverse societal backgrounds to gain a more comprehensive understanding of their implications. Practical implications: Higher educational institutions (HEIs) should establish a robo academic advising system that serves various stakeholders. The system’s chatbots and AI features must be user-friendly, considering the customers’ familiarity with robots. Originality/value: This study contributes to a better understanding of HEIs’ perceptions of the adoption of chatbots and AI in academic advising by providing insightful information about the main forces behind robo academic advising, illuminating the most frequently studied uses of chatbots and AI in academic advising.
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来源期刊
Contemporary Educational Technology
Contemporary Educational Technology Social Sciences-Education
CiteScore
6.20
自引率
0.00%
发文量
55
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