Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 3 |
Descriptor
Data Analysis | 3 |
Data Interpretation | 3 |
Models | 3 |
Data | 2 |
Barriers | 1 |
Coding | 1 |
Decision Making | 1 |
Educational Research | 1 |
Elementary School Students | 1 |
Epistemology | 1 |
Governance | 1 |
More ▼ |
Source
Journal of Learning Analytics | 3 |
Author
Andrade, Alejandro | 1 |
Danish, Joshua A. | 1 |
Delandshere, Ginette | 1 |
Elouazizi, Noureddine | 1 |
Shaffer, David Williamson | 1 |
Wise, Alyssa Friend | 1 |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 2 |
Reports - Research | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 1 | 1 |
Grade 2 | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Primary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wise, Alyssa Friend; Shaffer, David Williamson – Journal of Learning Analytics, 2015
It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…
Descriptors: Learning Theories, Predictor Variables, Data, Data Analysis
Elouazizi, Noureddine – Journal of Learning Analytics, 2014
This paper identifies some of the main challenges of data governance modelling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data…
Descriptors: Data, Governance, Data Analysis, Influences
Andrade, Alejandro; Delandshere, Ginette; Danish, Joshua A. – Journal of Learning Analytics, 2016
One of the challenges many learning scientists face is the laborious task of coding large amounts of video data and consistently identifying social actions, which is time consuming and difficult to accomplish in a systematic and consistent manner. It is easier to catalog observable behaviours (e.g., body motions or gaze) without explicitly…
Descriptors: Student Behavior, Data Analysis, Models, Video Technology