Investigating the Effects of Artificial Intelligence-Assisted Language Learning Strategies on Cognitive Load and Learning Outcomes: A Comparative Study

IF 4 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Lijuan Feng
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引用次数: 0

Abstract

This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring with data-driven insights. The research employs a pretest-posttest random assignment experimental design, utilizing three experimental groups and a control group, with a total of 484 EFL students specializing in teaching English as a foreign language participating in the study. Data collection involves pre- and post-tests, questionnaires, and interviews to assess the influence of AIAL strategies on cognitive load and learning outcomes. Cognitive load is measured using the Cognitive Load Scale, while pretest-posttest assessments evaluate the efficacy of AIAL interventions across various language skills. These results contribute to the existing body of AIAL research by offering empirical evidence for the effectiveness of specific strategies in optimizing language learning experiences. The implications of this study extend to educators, researchers, and developers in the field of AIAL, emphasizing the potential of AIAL to enhance language acquisition processes and inform instructional design practices.
调查人工智能辅助语言学习策略对认知负荷和学习效果的影响:比较研究
本研究探讨了人工智能辅助语言学习(AIAL)策略对语言学习中认知负荷和学习效果的影响。具体来说,本研究探讨了三种不同的 AIAL 策略:个性化反馈和自适应学习、语音识别互动练习以及数据驱动的智能辅导。研究采用了前测-后测随机分配实验设计,利用三个实验组和一个对照组,共有 484 名英语作为外语教学专业的 EFL 学生参与研究。数据收集包括前测、后测、问卷调查和访谈,以评估 AIAL 策略对认知负荷和学习效果的影响。认知负荷是通过认知负荷量表来测量的,而前测-后测评估则是评估 AIAL 干预措施对各种语言技能的效果。这些结果为特定策略在优化语言学习体验方面的有效性提供了实证证据,从而为现有的 AIAL 研究做出了贡献。这项研究对 AIAL 领域的教育工作者、研究人员和开发人员具有重要意义,强调了 AIAL 在增强语言习得过程和指导教学设计实践方面的潜力。
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来源期刊
Journal of Educational Computing Research
Journal of Educational Computing Research EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
11.90
自引率
6.20%
发文量
69
期刊介绍: The goal of this Journal is to provide an international scholarly publication forum for peer-reviewed interdisciplinary research into the applications, effects, and implications of computer-based education. The Journal features articles useful for practitioners and theorists alike. The terms "education" and "computing" are viewed broadly. “Education” refers to the use of computer-based technologies at all levels of the formal education system, business and industry, home-schooling, lifelong learning, and unintentional learning environments. “Computing” refers to all forms of computer applications and innovations - both hardware and software. For example, this could range from mobile and ubiquitous computing to immersive 3D simulations and games to computing-enhanced virtual learning environments.
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