Future of Learning with Large Language Models: Applications and Research in Education
暫譯: 大型語言模型的學習未來：教育中的應用與研究
Khine, Myint Swe, Bognár, László, Afari, Ernest
- 出版商: CRC
- 出版日期: 2025-11-19
- 售價: $5,530
- 貴賓價: 9.5 折 $5,254
- 語言: 英文
- 頁數: 252
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032934328
- ISBN-13: 9781032934327
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相關分類:
Large language model
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商品描述
The book covers theoretical foundations on how LLMs can enhance learning, cognitive reinforcement, improving learning efficiency, and personalization in learning, applications across the curriculum, teacher training and support for LLM integration, using in assessment and evaluation, and measuring the impact and affordances of LLMs. It acknowledges the challenges that come with integrating LLMs into education and will address the responsible development and deployment strategies to ensure that the models become powerful tools for good in the hands of educators. It explores potential research directions, such as the development of domain-specific models, and the creation of ethical frameworks for LLM use in education. As education enters an era of AI-enablement, this visionary book equips teachers, administrators, technologists, and policymakers with an authoritative guide to harnessing the power of large language models. Readers will discover how these advanced systems can expand access to quality education, tailor learning experiences, and nurture the innovators and critical thinkers of tomorrow, and glimpse into the future of learning and education with LLMs.
商品描述(中文翻譯)
本書涵蓋了大型語言模型（LLMs）如何增強學習、認知強化、提高學習效率以及個性化學習的理論基礎，並探討其在課程中的應用、教師培訓及支持LLM整合、在評估與評價中的使用，以及衡量LLMs的影響和優勢。它承認將LLMs整合進教育中所面臨的挑戰，並將討論負責任的開發和部署策略，以確保這些模型成為教育工作者手中強大的良善工具。本書探索潛在的研究方向，例如開發特定領域的模型，以及為LLM在教育中的使用創建倫理框架。隨著教育進入人工智慧賦能的時代，這本具前瞻性的書籍為教師、管理者、技術專家和政策制定者提供了一本權威指南，以利用大型語言模型的力量。讀者將發現這些先進系統如何擴大優質教育的可及性、量身定制學習體驗，並培養未來的創新者和批判性思考者，並窺見LLMs在學習和教育的未來。
作者簡介
Myint Swe Khine holds Master's degrees from the University of Southern California, USA, and the University of Surrey, UK, as well as a Doctor of Education from Curtin University, Australia. He has worked at the National Institute of Education at Nanyang Technological University, Singapore, and was a Professor at Emirates College for Advanced Education in the United Arab Emirates. He currently teaches at the School of Education, Curtin University, Australia.
László Bognár is a distinguished professor of Applied Statistics at the University of Dunaújváros, Hungary, with a focus on Statistics in Educational Sciences, Six Sigma, and Quality Statistics. Dr. Bognár has served in various leadership roles, including rector, director-general, deputy director-general, and the President of the Chamber of Engineers of Fejér County, contributing significantly to the engineering and academic communities.
Ernest Afari holds a PhD in Mathematics Education from Curtin University, Australia, and an MSc (Mathematics) from the University of British Columbia, Vancouver, Canada. His research focuses on structural equation modeling, psychometrics, and the application of statistical procedures to education. He currently teaches at the University of Bahrain, Kingdom of Bahrain.
作者簡介(中文翻譯)
**Myint Swe Khine** 擁有美國南加州大學和英國薩里大學的碩士學位，以及澳大利亞科廷大學的教育博士學位。他曾在新加坡南洋理工大學的國立教育研究所工作，並曾擔任阿聯酋阿聯酋高等教育學院的教授。目前，他在澳大利亞科廷大學的教育學院任教。
**László Bognár** 是匈牙利杜納烏伊瓦羅斯大學的應用統計學傑出教授，專注於教育科學中的統計學、六西格瑪和質量統計。Bognár 博士曾擔任多個領導職位，包括校長、總幹事、副總幹事，以及費耶爾郡工程師協會的會長，對工程和學術界做出了重要貢獻。
**Ernest Afari** 擁有澳大利亞科廷大學的數學教育博士學位，以及加拿大不列顛哥倫比亞大學的數學碩士學位。他的研究重點是結構方程模型、心理測量學，以及統計程序在教育中的應用。目前，他在巴林王國的巴林大學任教。
