人工智能在高等教育中的教育价值:10 年系统文献综述

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
A. Marengo, Alessandro Pagano, Jenny Pange, K. A. Soomro
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引用次数: 0

摘要

目的 本文旨在整合 2013 年至 2022 年间的实证研究,调查人工智能(AI)对高等教育的影响。设计/方法/途径进行了系统的文献综述,其中包括 44 篇以同行评审期刊论文形式发表的实证研究。综述的重点是确定趋势,对研究类型进行分类,并分析人工智能在高等教育中的循证应用。然而,这些出版物中有很大一部分主要提出了理论性和概念性的人工智能干预措施。研究的局限性/影响理论性建议的盛行可能会限制其普遍性。鼓励开展进一步研究,以验证和扩展已确定的人工智能在高等教育中的实证应用。本综述概述了未来研究和在高等教育中实施基于证据的人工智能干预措施的重要意义,有助于学术界和利益相关者做出知情决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The educational value of artificial intelligence in higher education: a 10-year systematic literature review
Purpose This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach A systematic literature review was conducted, encompassing 44 empirical studies published as peer-reviewed journal papers. The review focused on identifying trends, categorizing research types and analysing the evidence-based applications of AI in higher education. Findings The review indicates a recent surge in publications concerning AI in higher education. However, a significant proportion of these publications primarily propose theoretical and conceptual AI interventions. Areas with empirical evidence supporting AI applications in academia are delineated. Research limitations/implications The prevalence of theoretical proposals may limit generalizability. Further research is encouraged to validate and expand upon the identified empirical applications of AI in higher education. Practical implications This review outlines imperative implications for future research and the implementation of evidence-based AI interventions in higher education, facilitating informed decision-making for academia and stakeholders. Originality/value This paper contributes a comprehensive synthesis of empirical studies, highlighting the evolving landscape of AI integration in higher education and emphasizing the need for evidence-based approaches.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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