Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 3 |
Descriptor
Author
| Clarebout, Geraldine | 1 |
| Corradi, David | 1 |
| Craig Brewer | 1 |
| Elen, Jan | 1 |
| Ellis, Robert A. | 1 |
| George Hanshaw | 1 |
| Han, Feifei | 1 |
| Joanna Vance | 1 |
| Juarez Collazo, Norma A. | 1 |
| Pardo, Abelardo | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Location
| Australia | 1 |
| Belgium | 1 |
| California (Los Angeles) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Motivated Strategies for… | 3 |
What Works Clearinghouse Rating
Peer reviewed
Download full textGeorge Hanshaw; Joanna Vance; Craig Brewer – Open Praxis, 2024
This study examines the impact of AI course assistants on student learning experiences in online undergraduate courses at Los Angeles Pacific University. A controlled experiment involving 92 students across treatment and control groups was conducted to evaluate the effectiveness of AI assistants developed by Nectir. The treatment group had access…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Student Experience, Undergraduate Students
Direct linkPardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
Juarez Collazo, Norma A.; Corradi, David; Elen, Jan; Clarebout, Geraldine – Higher Education Studies, 2014
Research has documented the use of tools in computer-based learning environments as problematic, that is, learners do not use the tools and when they do, they tend to do it suboptimally. This study attempts to disentangle cause and effect of this suboptimal tool use for experienced learners. More specifically, learner variables (metacognitive and…
Descriptors: Electronic Learning, Computer Assisted Instruction, Computer Uses in Education, Use Studies
