1.

Record Nr.

UNISA996466564503316

Autore

Ryoo Jungwoo

Titolo

Innovative Learning Environments in STEM Higher Education [[electronic resource] ] : Opportunities, Challenges, and Looking Forward / / edited by Jungwoo Ryoo, Kurt Winkelmann

Pubbl/distr/stampa

Springer Nature, 2021

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-58948-X

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XV, 137 p. 8 illus., 7 illus. in color.)

Collana

SpringerBriefs in Statistics, , 2191-544X

Disciplina

519.5

Soggetti

Statistics 

Machine learning

Learning

Instruction

Knowledge representation (Information theory) 

Statistics for Social Sciences, Humanities, Law

Machine Learning

Statistics and Computing/Statistics Programs

Learning & Instruction

Knowledge based Systems

Educació STEM

Educació superior

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1. Introduction -- 2. X-FILEs Vision for personalized and Adaptive Learning -- 3. X-FILEs Vision for Multi-modal Learning Formats -- 4. X-FILEs Vision for Extended/Cross Reality (XR) -- 5. X-FILEs Vision for Artificial Intelligence (AI) and Machine Learning (ML) -- 6. Cross-Cutting Concerns -- 7. Epilogue.

Sommario/riassunto

As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research,



government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.