Publication Date
In 2025 | 2 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 6 |
Descriptor
Computer Software | 6 |
Learning Analytics | 6 |
Time Management | 6 |
Accuracy | 2 |
Artificial Intelligence | 2 |
Comparative Analysis | 2 |
Computer Assisted Testing | 2 |
Data Analysis | 2 |
Decision Making | 2 |
Efficiency | 2 |
Learning Management Systems | 2 |
More ▼ |
Source
HAPS Educator | 1 |
IEEE Transactions on Learning… | 1 |
Innovation in Language… | 1 |
Journal of Educational Data… | 1 |
Journal of Learning Analytics | 1 |
TechTrends: Linking Research… | 1 |
Author
Bonner, Euan | 1 |
Bosch, Nigel | 1 |
Cleon Xavier | 1 |
Dragan Gasevic | 1 |
Ellen M. Robertson | 1 |
Gabriel Alves | 1 |
Garvey, Kevin | 1 |
Godin, Sam | 1 |
Gyeonggeon Lee | 1 |
Kenneth L. Thompson | 1 |
Luiz Rodrigues | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Elementary Education | 1 |
Grade 4 | 1 |
Grade 8 | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Location
Japan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
National Assessment of… | 1 |
What Works Clearinghouse Rating
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Cleon Xavier; Luiz Rodrigues; Newarney Costa; Rodrigues Neto; Gabriel Alves; Taciana Pontual Falcao; Dragan Gasevic; Rafael Ferreira Mello – IEEE Transactions on Learning Technologies, 2025
Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…
Descriptors: Teacher Empowerment, Learning Analytics, Artificial Intelligence, Computer Software
Marli Crabtree; Kenneth L. Thompson; Ellen M. Robertson – HAPS Educator, 2024
Research has suggested that changing one's answer on multiple-choice examinations is more likely to lead to positive academic outcomes. This study aimed to further understand the relationship between changing answer selections and item attributes, student performance, and time within a population of 158 first-year medical students enrolled in a…
Descriptors: Anatomy, Science Tests, Medical Students, Medical Education
Bonner, Euan; Garvey, Kevin; Miner, Matthew; Godin, Sam; Reinders, Hayo – Innovation in Language Learning and Teaching, 2023
This paper reports on the development and piloting of Classmoto, an online application designed to measure learner engagement. The application enables teachers to collect real-time analytics of student social, affective, and cognitive engagement. The results are immediately visible to the teacher. We investigated and reported on the engagement…
Descriptors: Foreign Countries, Learner Engagement, English (Second Language), Second Language Learning
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content