Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
Source
| Journal of Learning Analytics | 2 |
Author
| Blumenstein, Marion | 1 |
| Bryant, Andy | 1 |
| Kleinman, Erica | 1 |
| Seif El-Nasr, Magy | 1 |
| Shergadwala, Murtuza N. | 1 |
| Teng, Zhaoqing | 1 |
| Villareale, Jennifer | 1 |
| Zhu, Jichen | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Information Analyses | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kleinman, Erica; Shergadwala, Murtuza N.; Teng, Zhaoqing; Villareale, Jennifer; Bryant, Andy; Zhu, Jichen; Seif El-Nasr, Magy – Journal of Learning Analytics, 2022
Educational technology is shifting toward facilitating personalized learning. Such personalization, however, requires a detailed understanding of students' problem-solving processes. Sequence analysis (SA) is a promising approach to gaining granular insights into student problem solving; however, existing techniques are difficult to interpret…
Descriptors: Problem Solving, Learning Analytics, Decision Making, Educational Technology
Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education

Peer reviewed
