通过人工智能方法推进适应性学习技术的前景

S. V. Singh
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引用次数: 0

摘要

现代生活的方方面面几乎都融入了某种形式的人工智能。这是一个迅速发展的研究领域,有望彻底改变人类互动的方方面面。在人工智能的帮助下,新的教学方法和评估学生进步的方法将被开发和测试。利用现代教育技术,可以更有效地实现和管理教育目标。本研究从AGS实施的角度探讨了适应性学习对学生和教育者的影响。由于使用了自动评分学习系统(AGLS),接受过技术使用培训的学生更有可能自我指导,更有动力评估自己作为学习者的发展。AGLS减少了教师的工作量,因为它允许他们向学生提供及时和相关的反馈,因为它为建设性的师生互动开辟了更多的途径。
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The Prospects for Advancing Adaptive Learning Technology through AI Methods
Almost every facet of modern life incorporates some form of AI. It is a rapidly developing field of study that promises to revolutionize every facet of human interaction. New methods of instruction and methods of assessing student progress will be developed and tested with the help of AI. With the use of modern educational technology, educational goals can be more effectively realized and managed. This research investigates the influence of Adaptive Learning (AL) on both students and educators via the lens of AGS implementation. Students who have received training in the use of technology are more likely to be self-directed and motivated to evaluate their own development as learners because of the usage of Automated Grading Learning Systems (AGLS). Teachers’ workloads are reduced by AGLS because it allows them to deliver timely and relevant feedback to students and because it opens more avenues for constructive student-teacher interaction.
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