Theodore W. Frick, Rodney D. Myers, Cesur Dagli, Andrew F. Barrett

Innovative Learning Analytics for Evaluating Instruction (eBook, PDF)

A Big Data Roadmap to Effective Online Learning

• Format: PDF

Produktbeschreibung

Innovative Learning Analytics for Evaluating Instruction covers the application of a research methodology that uses big data to evaluate the effectiveness of online instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 154
• Erscheinungstermin: 19. Juli 2021
• Englisch
• ISBN-13: 9781000454703
• Artikelnr.: 62198516

Autorenporträt

Theodore W. Frick is Professor Emeritus in the Department of Instructional Systems Technology in the School of Education at Indiana University Bloomington, USA.

Rodney D. Myers is Instructional Consultant in the School of Education at Indiana University Bloomington, USA.

Cesur Dagli is Research Analyst in the Office of Analytics & Institutional Effectiveness at Virginia Polytechnic Institute and State University, USA.

Andrew F. Barrett is Co-founder of ScaleLearning, Inc. and leads the Learning Technology team at Shopify, Inc., Canada

Inhaltsangabe

1. Learning Journeys in Education 2. Overview of the Big Study 3. The
Indiana University Plagiarism Tutorials and Tests 4. More Details of the
Big Study 5. Analysis of Patterns in Time as a Research Methodology 6.
Using Analysis of Patterns in Time for Formative Evaluation of a Learning
Design 7. Analysis of Patterns in Time with Teaching and Learning Quality
Surveys 8. Analysis of Patterns in Time as an Alternative to Traditional
Approaches