[論文レビュー] The future of generative AI chatbots in higher education

Joshua Ebere Chukwuere|arXiv (Cornell University)|Mar 20, 2024

Online Learning and Analytics被引用数 9

ひとこと要約

本研究は、ナラティブ・リテラチャー・レビューを用いて、生成AIチャットボットが高等教育における教育と学習、管理、研究をどう再形成し得るかを検討するとともに、倫理的・資源関連の課題とガイドラインおよびトレーニングの必要性を明らかにする。

ABSTRACT

The integration of generative Artificial Intelligence (AI) chatbots in higher education institutions (HEIs) is reshaping the educational landscape, offering opportunities for enhanced student support, and administrative and research efficiency. This study explores the future implications of generative AI chatbots in HEIs, aiming to understand their potential impact on teaching and learning, and research processes. Utilizing a narrative literature review (NLR) methodology, this study synthesizes existing research on generative AI chatbots in higher education from diverse sources, including academic databases and scholarly publications. The findings highlight the transformative potential of generative AI chatbots in streamlining administrative tasks, enhancing student learning experiences, and supporting research activities. However, challenges such as academic integrity concerns, user input understanding, and resource allocation pose significant obstacles to the effective integration of generative AI chatbots in HEIs. This study underscores the importance of proactive measures to address ethical considerations, provide comprehensive training for stakeholders, and establish clear guidelines for the responsible use of generative AI chatbots in higher education. By navigating these challenges, and leveraging the benefits of generative AI technologies, HEIs can harness the full potential of generative AI chatbots to create a more efficient, effective, inclusive, and innovative educational environment.

研究の動機と目的

• 高等教育機関における生成AIチャットボットが教育と学習に与える潜在的な影響を評価する。
• チャットボット導入による管理効率と研究プロセスの潜在的な利点を評価する。
• 学術的誠実性、ユーザーの理解、資源配分を含む、効果的な統合への課題と障壁を特定する。
• 倫理ガイドラインと利害関係者のトレーニングなど、責任ある利用を可能にする積極的な対策を提案する。）
• method=["多様な学術ソースからの既存研究を統合するナラティブ・リテラチャーレビュー（NLR）。","学生の学習、管理、研究活動への利点に関する知見の収集。","課題および倫理的配慮の討議。"]
• research_questions:[
• What is the potential impact of generative AI chatbots on teaching and learning in higher education institutions?
• In what ways can generative AI chatbots improve administrative and research efficiency in HEIs?
• What are the main challenges and ethical considerations in integrating generative AI chatbots in higher education?
• What measures are needed to address these challenges and enable responsible use of generative AI chatbots in HEIs?

提案手法

• Narrative literature review (NLR) synthesizing existing research from diverse academic sources.
• Collation of findings on benefits for student learning, administration, and research activities.
• Discussion of challenges and ethical considerations.

実験結果

リサーチクエスチョン

• RQ1 What is the potential impact of generative AI chatbots on teaching and learning in higher education institutions?
• RQ2 In what ways can generative AI chatbots improve administrative and research efficiency in HEIs?
• RQ3 What are the main challenges and ethical considerations in integrating generative AI chatbots in higher education?
• RQ4 What measures are needed to address these challenges and enable responsible use of generative AI chatbots in HEIs?

主な発見

• 生成AIチャットボットは、HEIsにおける行政業務を効率化する可能性がある。
• 彼らは学生の学習体験を向上させ、研究活動を支援できる。
• 課題には学術的誠実性の懸念、ユーザー入力の理解に関する問題、資源配分が含まれる。
• 倫理的配慮、包括的な利害関係者トレーニング、明確な使用指針を含む積極的な対策が必要である。