Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan

Abdul Wajid Fazil, Musawer Hakimi, Amir Kror Shahidzay, Ansarullah Hasas
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引用次数: 1

Abstract

This article explores the pivotal intersection of Artificial Intelligence (AI), student engagement, and academic performance in higher education, specifically at Kabul University. As technology evolves, understanding AI's implications on education becomes critical for effective pedagogical strategies and student readiness. The research aims to bridge the gap between technological advancements and educational practices, comprehensively investigating AI's impact on student engagement and academic performance. The study addresses awareness, ethical considerations, autonomy perceptions, and AI integration into curricula. Employing a quantitative approach, the study involves 200 students from various Kabul University faculties, utilizing SPSS version 23 for analysis. Regression analyses, ANOVA, and structured questionnaires allow a nuanced exploration of AI engagement dimensions. Key findings indicate commendable AI awareness in students' daily lives, with room for improvement in academic integration. Ethical considerations emphasize a baseline for ethical AI use. Autonomy perceptions and AI tool engagement reveal nuanced layers, emphasizing a holistic AI education approach. In conclusion, this research advocates a balanced AI integration in education, offering implications for pedagogical strategies, curriculum development, and institutional policies. The findings guide educators, policymakers, and institutions in navigating AI-enhanced learning environments, ensuring students' technological literacy and ethical grounding.
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探索人工智能技术对阿富汗大学学生参与度和学习成绩的广泛影响
本文探讨了高等教育中人工智能(AI)、学生参与和学业成绩的关键交叉点,特别是在喀布尔大学。随着技术的发展,了解人工智能对教育的影响对于有效的教学策略和学生的准备程度至关重要。本研究旨在弥合技术进步与教育实践之间的差距,全面调查人工智能对学生参与度和学习成绩的影响。本研究涉及对人工智能的认识、伦理考虑、自主感知以及人工智能与课程的整合。研究采用定量方法,涉及喀布尔大学各院系的 200 名学生,使用 SPSS 23 版进行分析。通过回归分析、方差分析和结构化问卷,对人工智能的参与度进行了细致入微的探索。主要研究结果表明,学生在日常生活中对人工智能的认识值得称赞,但在学术融合方面还有待提高。伦理方面的考虑强调了使用人工智能的道德底线。自主感知和人工智能工具的参与揭示了细微的层次,强调了全面的人工智能教育方法。总之,本研究倡导将人工智能均衡地融入教育,为教学策略、课程开发和机构政策提供启示。研究结果将指导教育工作者、政策制定者和机构驾驭人工智能增强型学习环境,确保学生的技术素养和道德基础。
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