Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Data Collection | 3 |
| Educational Benefits | 3 |
| Learning Analytics | 3 |
| Student Records | 2 |
| Computer Software | 1 |
| Cooperative Learning | 1 |
| Credentials | 1 |
| Data | 1 |
| Data Use | 1 |
| Decision Making | 1 |
| Distance Education | 1 |
| More ▼ | |
Author
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
| North Dakota | 1 |
| Wisconsin | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
da Silva, Lidia M.; Dias, Lucas P. S.; Barbosa, Jorge L. V.; Rigo, Sandro J.; dos Anjos, Julio C. S.; Geyer, Claudio F. R.; Leithardt, Valderi R. Q. – Informatics in Education, 2022
Advances in information and communication technologies have contributed to the increasing use of virtual learning environments as support tools in teaching and learning processes. Virtual platforms generate a large volume of educational data, and the analysis of this data allows useful information discoveries to improve learning and assist…
Descriptors: Learning Analytics, Cooperative Learning, Distance Education, Electronic Learning
Winne, Philip H.; Teng, Kenny; Chang, Daniel; Lin, Michael Pin-Chuan; Marzouk, Zahia; Nesbit, John C.; Patzak, Alexandra; Rakovic, Mladen; Samadi, Donya; Vytasek, Jovita – Journal of Learning Analytics, 2019
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. GaĊĦevic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…
Descriptors: Learning Analytics, Learning Processes, Independent Study, Computer Software
State Educational Technology Directors Association, 2021
Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…
Descriptors: Data, Information Security, Student Records, Learning Analytics

Peer reviewed
