Artificial Intelligence for STEM Education Research: Advanced Methods and Applications. Advances in Technology-Rich Science Education. Volume 1
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| Title: | Artificial Intelligence for STEM Education Research: Advanced Methods and Applications. Advances in Technology-Rich Science Education. Volume 1 |
|---|---|
| Language: | English |
| Authors: | Xiaoming Zhai (ORCID |
| Source: | Springer. 2026. |
| Availability: | Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail:customerservice@springernature.com; Web site: http://www.springer.com |
| Peer Reviewed: | N |
| Page Count: | 258 |
| Publication Date: | 2026 |
| Intended Audience: | Researchers; Teachers; Students |
| Document Type: | Book Collected Works - General |
| Descriptors: | Artificial Intelligence, Technology Uses in Education, STEM Education, Educational Research, Educational Innovation, Intelligent Tutoring Systems, Computer Assisted Testing, Automation, Scoring, Research Methodology |
| DOI: | 10.1007/978-3-032-06565-0 |
| ISSN: | 3091-339X 3091-3403 |
| Abstract: | This open access 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. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | ED680659 |
| Database: | ERIC |
| Abstract: | This open access 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. |
|---|---|
| ISSN: | 3091-339X 3091-3403 |
| DOI: | 10.1007/978-3-032-06565-0 |
