Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 11 |
Descriptor
Mastery Learning | 12 |
Models | 12 |
Prediction | 12 |
Academic Achievement | 5 |
Goal Orientation | 4 |
Learning Analytics | 4 |
Accuracy | 3 |
Bayesian Statistics | 3 |
Correlation | 3 |
Intelligent Tutoring Systems | 3 |
Knowledge Level | 3 |
More ▼ |
Source
Author
Botelho, Anthony F. | 2 |
Adjei, Seth A. | 1 |
Beck, Joseph E. | 1 |
Brunskill, Emma | 1 |
Buro, Karen | 1 |
Chu, Yu | 1 |
Croteau, Ethan | 1 |
Doherty, Diana | 1 |
Duffy, Melissa | 1 |
Franco, Gina M. | 1 |
Gurung, Ashish | 1 |
More ▼ |
Publication Type
Reports - Research | 10 |
Journal Articles | 7 |
Speeches/Meeting Papers | 5 |
Opinion Papers | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 3 |
Secondary Education | 3 |
High Schools | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Administrators | 1 |
Practitioners | 1 |
Teachers | 1 |
Location
Singapore | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lee, Morgan P.; Croteau, Ethan; Gurung, Ashish; Botelho, Anthony F.; Heffernan, Neil T. – International Educational Data Mining Society, 2023
The use of Bayesian Knowledge Tracing (BKT) models in predicting student learning and mastery, especially in mathematics, is a well-established and proven approach in learning analytics. In this work, we report on our analysis examining the generalizability of BKT models across academic years attributed to "detector rot." We compare the…
Descriptors: Bayesian Statistics, Models, Generalizability Theory, Longitudinal Studies
Meng, Lingling; Zhang, Mingxin; Zhang, Wanxue; Chu, Yu – Interactive Learning Environments, 2021
Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…
Descriptors: Bayesian Statistics, Intelligent Tutoring Systems, Student Evaluation, Knowledge Level
Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
Zhang, Qiao; Maclellan, Christopher J. – International Educational Data Mining Society, 2021
Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…
Descriptors: Electronic Learning, Mastery Learning, Computer Simulation, Intelligent Tutoring Systems
Botelho, Anthony F.; Varatharaj, Ashvini; Patikorn, Thanaporn; Doherty, Diana; Adjei, Seth A.; Beck, Joseph E. – IEEE Transactions on Learning Technologies, 2019
The increased usage of computer-based learning platforms and online tools in classrooms presents new opportunities to not only study the underlying constructs involved in the learning process, but also use this information to identify and aid struggling students. Many learning platforms, particularly those driving or supplementing instruction, are…
Descriptors: Student Attrition, Student Behavior, Early Intervention, Identification
Noels, Kimberly A.; Lascano, Dayuma I. Vargas; Saumure, Kristie – Studies in Second Language Acquisition, 2019
Research suggests that students put more effort into language learning when they feel that it is a voluntary and self-relevant activity or they enjoy the process of mastering that language (i.e., they have a more self-determined orientation). This orientation is fostered when learners feel autonomous, competent, and related to others in their…
Descriptors: Self Determination, Psychological Needs, Learning Motivation, Second Language Learning
Rollinson, Joseph; Brunskill, Emma – International Educational Data Mining Society, 2015
At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…
Descriptors: Prediction, Models, Educational Policy, Intelligent Tutoring Systems
Senko, Corwin; Tropiano, Katie L. – Journal of Educational Psychology, 2016
Achievement goal theory (Dweck, 1986) initially characterized mastery goals and performance goals as opposites in a good-bad dualism of student motivation. A later revision (Harackiewicz, Barron, & Elliot, 1998) contended that both goals can provide benefits and be pursued together. Perhaps both frameworks are correct: Their contrasting views…
Descriptors: Comparative Analysis, Goal Orientation, Guidelines, Outcomes of Education
Ranellucci, John; Muis, Krista R.; Duffy, Melissa; Wang, Xihui; Sampasivam, Lavanya; Franco, Gina M. – British Journal of Educational Psychology, 2013
Background: Research is needed to explore conceptual change in relation to achievement goal orientations and depth of processing. Aims: To address this need, we examined relations between achievement goals, use of deep versus shallow processing strategies, and conceptual change learning using a think-aloud protocol. Sample and Method:…
Descriptors: Goal Orientation, Academic Achievement, Cognitive Processes, Protocol Analysis
Lee, Jie Qi; McInerney, Dennis M.; Liem, Gregory Arief D.; Ortiga, Yasmin P. – Contemporary Educational Psychology, 2010
This research aimed to study the relationships between students' future goals (FGs) and their immediate achievement goal orientations (AGOs) among 5733 Singaporean secondary school students (M age = 14.18, SD = 1.26; 53% boys). To this end, we hypothesized that the relationships between like valenced FGs and AGOs (both intrinsic or both extrinsic)…
Descriptors: Structural Equation Models, Incentives, Goal Orientation, Prediction
Howell, Andrew J.; Buro, Karen – Learning and Individual Differences, 2009
As a maladaptive behavioural outcome, procrastination should correlate with beliefs about ability and achievement goals that are themselves relatively maladaptive. Accordingly, procrastination should be predicted by entity as opposed to incremental implicit theories (i.e., viewing attributes such as ability as relatively fixed vs. malleable,…
Descriptors: Goal Orientation, Beliefs, Student Behavior, Undergraduate Students
Hoyle, John R. – 1981
Most constructive critics of education agree that today's students are better than any in United States history. Yet problems like competency shortages and outmoded curricula remain. When schools were basically "socializers" (1885-1957), praise outstripped criticism--until 1957's Sputnik. In response, Congress initiated the National Aeronautics…
Descriptors: Administrator Role, Community Cooperation, Community Education, Community Resources