Learning Analytics: From Research to Practice: 10000 (Computer-Supported Collaborative Learning) - Tapa dura

Acerca del autor

Dr. Larusson is an Academic Technology Architect and Professor in Computer Science at Brandeis University. His research interests include: Learning Analytics, Educational Technology, Computer-Supported Collaborative Learning (CSCL), Human-Computer Interaction (HCI) and Social Media and Online Collaboration, Software Engineering. He was the resipient of the prestigious Provost's Dissertation Support Award, 2010 from Brandeis University. He is the author of numerous scholarly journal articles.

De la contraportada

In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics.

Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world.

Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to:

• Enhance student and faculty performance.
• Improve student understanding of course material.
• Assess and attend to the needs of struggling learners.
• Improve accuracy in grading.
• Allow instructors to assess and develop their own strengths.
• Encourage more efficient use of resources at the institutional level.

Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.