整合TAM和IS成功模型:探索区块链和人工智能在预测电子学习中学习者参与度和表现方面的作用

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Damien Tyron Naidoo
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引用次数: 0

摘要

本研究通过整合区块链和人工智能,创新地将技术采用和电子学习交织在一起,为前沿技术如何彻底改变学习过程提供了一个新颖的视角。本研究调查了影响学习者在电子学习中使用区块链和人工智能(AI)的行为使用的因素。该研究提出了技术接受模型(TAM)和信息系统成功模型的集成模型,其中包括感知有用性、感知易用性、系统质量、信息质量和服务质量,作为区块链和人工智能在电子学习中的行为使用的先决条件。该模型还考察了学习者自我效能感对行为使用与网络学习投入和绩效之间关系的调节作用。该研究收集了322名调查对象的数据,并使用带自举技术的偏最小二乘结构方程模型(PLS-SEM)对数据进行了分析。结果表明,TAM模型和IS模型的因素对区块链和人工智能在电子学习中的使用行为具有显著的正向影响。此外,学习者自我效能感对电子学习投入和绩效有显著的正向影响,但它不会调节使用区块链或人工智能的行为与电子学习投入和绩效之间的关系。总体而言,该研究提供了影响区块链和人工智能在电子学习中应用的因素的见解,并为教育工作者和政策制定者提供了实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating TAM and IS success model: exploring the role of blockchain and AI in predicting learner engagement and performance in e-learning
This study innovatively intertwines technology adoption and e-learning by integrating blockchain and AI, offering a novel perspective on how cutting-edge technologies revolutionize learning processes. The present study investigates the factors that influence the behavioral use of learners to use blockchain and artificial intelligence (AI) in e-learning. The study proposes the integrated model of Technology Acceptance Model (TAM) and Information System (IS) success Model that include perceived usefulness, perceived ease of use, system quality, information quality, and service quality as antecedents to behavioral use of blockchain and AI in e-learning. The model also examines the moderating effect of learner self-efficacy on the relationship between behavioral use and e-learning engagement and performance. The study collected data from 322 respondents and analyzed the data using partial least squares structural equation modeling (PLS-SEM) with a bootstrapping technique. The results show that the factors of TAM model and IS model have the significant and positive effects on behavior to use blockchain and AI in e-learning. Additionally, learner self-efficacy has a significant positive effect on e-learning engagement and performance, but it does not moderate the relationship between behavior to use blockchain or AI and e-learning engagement and performance. Overall, the study provides insights into the factors that influence the adoption of blockchain and AI in e-learning and offers practical implications for educators and policymakers.
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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