Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Artificial Intelligence | 7 |
Classification | 3 |
Academic Achievement | 2 |
Foreign Countries | 2 |
Learning Analytics | 2 |
Learning Processes | 2 |
Universities | 2 |
Accuracy | 1 |
Affective Behavior | 1 |
At Risk Students | 1 |
Cognitive Ability | 1 |
More ▼ |
Source
British Journal of… | 3 |
International Educational… | 2 |
Journal of Computer Assisted… | 1 |
Metacognition and Learning | 1 |
Author
Gaševic, Dragan | 7 |
Rakovic, Mladen | 4 |
Bannert, Maria | 2 |
Chen, Guanliang | 2 |
Fan, Yizhou | 2 |
Kilgour, Jonathan | 2 |
Li, Yuheng | 2 |
Lim, Lyn | 2 |
Molenaar, Inge | 2 |
Moore, Johanna | 2 |
Singh, Shaveen | 2 |
More ▼ |
Publication Type
Reports - Research | 6 |
Journal Articles | 5 |
Speeches/Meeting Papers | 2 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Elementary Education | 1 |
Audience
Location
Australia | 2 |
California (Stanford) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Darvishi, Ali; Khosravi, Hassan; Sadiq, Shazia; Gaševic, Dragan – British Journal of Educational Technology, 2022
Peer assessment has been recognised as a sustainable and scalable assessment method that promotes higher-order learning and provides students with fast and detailed feedback on their work. Despite these benefits, some common concerns and criticisms are associated with the use of peer assessments (eg, scarcity of high-quality feedback from peer…
Descriptors: Artificial Intelligence, Learning Analytics, Peer Evaluation, Student Evaluation
Rakovic, Mladen; Iqbal, Sehrish; Li, Tongguang; Fan, Yizhou; Singh, Shaveen; Surendrannair, Surya; Kilgour, Jonathan; Graaf, Joep; Lim, Lyn; Molenaar, Inge; Bannert, Maria; Moore, Johanna; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Assignments that involve writing based on several texts are challenging to many learners. Formative feedback supporting learners in these tasks should be informed by the characteristics of evolving written product and by the characteristics of learning processes learners enacted while developing the product. However, formative feedback…
Descriptors: Artificial Intelligence, Essays, High Achievement, Writing Achievement
Fan, Yizhou; van der Graaf, Joep; Lim, Lyn; Rakovic, Mladen; Singh, Shaveen; Kilgour, Jonathan; Moore, Johanna; Molenaar, Inge; Bannert, Maria; Gaševic, Dragan – Metacognition and Learning, 2022
Contemporary research that looks at self-regulated learning (SRL) as processes of learning events derived from trace data has attracted increasing interest over the past decade. However, limited research has been conducted that looks into the validity of trace-based measurement protocols. In order to fill this gap in the literature, we propose a…
Descriptors: Validity, Metacognition, Learning Strategies, Artificial Intelligence
Li, Yuheng; Rakovic, Mladen; Poh, Boon Xin; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2022
Learning objectives, especially those well defined by applying Bloom's taxonomy for Cognitive Objectives, have been widely recognized as important in various teaching and learning practices. However, many educators have difficulties developing learning objectives appropriate to the levels in Bloom's taxonomy, as they need to consider the…
Descriptors: Educational Objectives, Taxonomy, Universities, Cognitive Ability
Yan, Lixiang; Martinez-Maldonado, Roberto; Gallo Cordoba, Beatriz; Deppeler, Joanne; Corrigan, Deborah; Gaševic, Dragan – British Journal of Educational Technology, 2022
Identifying students facing difficulties and providing them with timely support is one of the educator's key responsibilities. Yet, this task is becoming increasingly challenging as the complexity of physical learning spaces grows, along with the emergence of novel educational technologies and classroom designs. There has been substantial research…
Descriptors: Student Behavior, Social Behavior, Elementary School Students, At Risk Students
Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis