2 options
Artificial intelligence for STEM education research advanced methods and applications Xiaoming Zhai, Gyeonggeon Lee, editors
Springer Nature - Springer Education (R0) eBooks 2026 English International Available online
View online- Format:
- Book
- Series:
- Advances in technology-rich science education ; v. 1.
- Advances in technology-rich science education 3091-3403 volume 1
- Language:
- English
- Subjects (All):
- Artificial intelligence--Educational applications.
- Science--Study and teaching--Data processing.
- Technology--Study and teaching--Data processing.
- Engineering--Study and teaching--Data processing.
- Mathematics--Study and teaching--Data processing.
- Physical Description:
- 1 online resource
- Place of Publication:
- Cham, Switzerland Springer [2026]
- Summary:
- "This volume explores the transformative use of Artificial Intelligence (AI) as innovative methodologies in STEM education research. Featuring contributions from leading experts, it presents a rich collection of chapters that examine how AI tools—such as adaptive learning systems, automatic scoring, explainable AI, and intelligent tutoring—can be applied to enhance educational outcomes. Designed for researchers, educators, and graduate students, the book provides in-depth insights into AI as a tool for cutting-edge research methods and its potential to revolutionize research practices. Through practical examples, case studies, and methodological details, it serves as an essential resource for those looking to push beyond conventional methods and embrace the possibilities offered by AI in educational research"-- Springer Nature Link
- Contents:
- Artificial intelligence for STEM education research / Xiaoming Zhai and Gyeonggeon Lee
- Using artificial intelligence for automatic scoring / Ehsan Latif and Xiaoming Zhai
- Generative AI-based automated assessment generation / Matthew Nyaaba and Xiaoming Zhai
- Advancing STEM education through adaptive learning technologies / Yizhu Gao and Tongxin Zhang
- Computerized adaptive testing for STEM learning / Shiyu Wang, Jing Huang, and Hua-Hua Chang
- Computer vision in STEM education research / Gyeonggeon Lee and Xiaoming Zhai
- Knowledge tracing in STEM education / Liang Zhang, Daniel Weitekamp, and Xiaoming Zhai
- Intelligent tutoring systems for STEM learning / Ehsan Latif, Wenchao Ma, and Xiaoming Zhai
- Recommender systems for STEM education research / Yuanfu Sun and Qiaoyu Tan
- Sentiment analysis for STEM learning / Lehong Shi and Shuchen Guo
- Explainable AI in STEM education research / Zhaojun Ding, Lei Liu, Xiaoming Zhai, and Ninghao Liu
- Notes:
- Includes bibliographical references
- Online resource; title from PDF title page (Springer Nature Link, viewed April 23, 2026)
- Other Format:
- Print version Artificial intelligence for STEM education research
- ISBN:
- 9783032065650
- 3032065658
- OCLC:
- 1586773578
- Access Restriction:
- Some versions Open access versions available from some providers open access
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.