Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Case Studies | 2 |
Data Collection | 2 |
College Students | 1 |
Computation | 1 |
Computer Science Education | 1 |
Concept Mapping | 1 |
Data Analysis | 1 |
Definitions | 1 |
Doctoral Programs | 1 |
Educational Theories | 1 |
Electronic Publishing | 1 |
More ▼ |
Source
Journal of Educational Data… | 2 |
Author
Atkinson, Robert K. | 1 |
Azarnoush, Bahareh | 1 |
Bekki, Jennifer M. | 1 |
Bernstein, Bianca L. | 1 |
Mühling, Andreas | 1 |
Runger, George C. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Secondary Education | 1 |
Audience
Location
Arizona | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Mühling, Andreas – Journal of Educational Data Mining, 2017
This article presents "concept landscapes"--a novel way of investigating the state and development of knowledge structures in groups of persons using concept maps. Instead of focusing on the assessment and evaluation of single maps, the data of many persons is aggregated and data mining approaches are used in analysis. New insights into…
Descriptors: Concept Mapping, Data Collection, Electronic Publishing, Educational Theories
Azarnoush, Bahareh; Bekki, Jennifer M.; Runger, George C.; Bernstein, Bianca L.; Atkinson, Robert K. – Journal of Educational Data Mining, 2013
Effectively grouping learners in an online environment is a highly useful task. However, datasets used in this task often have large numbers of attributes of disparate types and different scales, which traditional clustering approaches cannot handle effectively. Here, a unique dissimilarity measure based on the random forest, which handles the…
Descriptors: Online Courses, Females, Doctoral Programs, Graduate Students