Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 5 |
Descriptor
Classification | 5 |
Markov Processes | 5 |
Teaching Methods | 5 |
Prediction | 4 |
At Risk Students | 3 |
Data Analysis | 3 |
Feedback (Response) | 3 |
High School Students | 3 |
Intelligent Tutoring Systems | 3 |
Misconceptions | 3 |
Models | 3 |
More ▼ |
Author
Baraniuk, Richard G. | 1 |
Barnes, Tiffany, Ed. | 1 |
Chi, Min, Ed. | 1 |
Culpepper, Steven | 1 |
Desmarais, Michel, Ed. | 1 |
Douglas, Jeff | 1 |
Feng, Mingyu, Ed. | 1 |
Garg, Deepak | 1 |
Grimaldi, Philip J. | 1 |
Gupta, Anika | 1 |
Kumar, Parteek | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Collected Works - Proceedings | 2 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
High Schools | 3 |
Higher Education | 3 |
Postsecondary Education | 3 |
Secondary Education | 3 |
Junior High Schools | 2 |
Middle Schools | 2 |
Elementary Education | 1 |
Grade 8 | 1 |
Audience
Location
Afghanistan | 1 |
Brazil | 1 |
Illinois (Chicago) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gupta, Anika; Garg, Deepak; Kumar, Parteek – IEEE Transactions on Learning Technologies, 2022
With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…
Descriptors: Markov Processes, Online Courses, Learning Management Systems, Learning Analytics
Wang, Shiyu; Zhang, Susu; Douglas, Jeff; Culpepper, Steven – Measurement: Interdisciplinary Research and Perspectives, 2018
Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…
Descriptors: Reaction Time, Markov Processes, Computer Assisted Instruction, Spatial Ability
Michalenko, Joshua J.; Lan, Andrew S.; Waters, Andrew E.; Grimaldi, Philip J.; Baraniuk, Richard G. – International Educational Data Mining Society, 2017
An important, yet largely unstudied problem in student data analysis is to detect "misconceptions" from students' responses to "open-response" questions. Misconception detection enables instructors to deliver more targeted feedback on the misconceptions exhibited by many students in their class, thus improving the quality of…
Descriptors: Data Analysis, Misconceptions, Student Attitudes, Feedback (Response)
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis