Learning Analytics to Support Student Interaction and Learning Design: Initial Report on a Human-Centered Prototype Design

Priya Sharma, Mahir Akgun, Qiyuan Li

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter presents a case study of designing a learning analytics dashboard powered by a machine-learning model to support interaction and engagement in online discussions. Learning analytics are becoming mainstream as more learning management systems (LMSs) embed different types of analytic data based on student interactions with the content and each other. However, our chapter focuses on a specific design case where a learning analytics dashboard (LAD) was designed to support learning and learning design in a particular context. The visualizations in the LAD were generated by automated machine-learning analyses of student-generated discussion data, and we describe how technology can be used by instructors within the learning context to finely tune the design of interactive activities in online courses.

Original languageEnglish (US)
Title of host publicationLearning Technologies and User Interaction
Subtitle of host publicationDiversifying Implementation in Curriculum, Instruction, and Professional Development
PublisherTaylor and Francis
Pages17-37
Number of pages21
ISBN (Electronic)9781000441246
ISBN (Print)9780367536336
DOIs
StatePublished - Jan 1 2021

All Science Journal Classification (ASJC) codes

  • General Social Sciences

Fingerprint

Dive into the research topics of 'Learning Analytics to Support Student Interaction and Learning Design: Initial Report on a Human-Centered Prototype Design'. Together they form a unique fingerprint.

Cite this