Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning

ISBN-13: 9781032000183 / Angielski / Twarda / 2021 / 132 str.

Theodore W. Frick; Rodney D. Myers; Cesur Dagli

Opis

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.

Spis treści

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