Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 10 |
Descriptor
| Data Analysis | 10 |
| Multivariate Analysis | 10 |
| Design | 3 |
| Electronic Learning | 3 |
| Information Retrieval | 3 |
| Academic Achievement | 2 |
| Case Studies | 2 |
| Computer Interfaces | 2 |
| Correlation | 2 |
| Data Collection | 2 |
| Data Processing | 2 |
| More ▼ | |
Source
| Journal of Educational Data… | 10 |
Author
| Kerr, Deirdre | 2 |
| Anthony F. Botelho | 1 |
| Behrens, John T. | 1 |
| Benson, Martin | 1 |
| Blikstein, Paulo | 1 |
| Calico, Tiago | 1 |
| Carly S. Thorp | 1 |
| Chung, Gregory K. W. K. | 1 |
| Crawford, Aaron V. | 1 |
| Dicerbo, Kristen E. | 1 |
| Fay, Derek | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 10 |
| Reports - Research | 9 |
| Reports - Descriptive | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 3 |
| Middle Schools | 3 |
| Postsecondary Education | 3 |
| Secondary Education | 3 |
| Elementary Education | 2 |
| Grade 6 | 2 |
| Intermediate Grades | 2 |
| Junior High Schools | 2 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| More ▼ | |
Audience
Location
| California | 2 |
| California (San Diego) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Seiyon M. Lee; Sami Baral; Hongming Chip Li; Li Cheng; Shan Zhang; Carly S. Thorp; Jennifer St. John; Tamisha Thompson; Neil Heffernan; Anthony F. Botelho – Journal of Educational Data Mining, 2025
Teachers often use open-ended questions to promote students' deeper understanding of the content. These questions are particularly useful in K-12 mathematics education, as they provide richer insights into students' problem-solving processes compared to closed-ended questions. However, they are also challenging to implement in educational…
Descriptors: Feedback (Response), Taxonomy, Data Analysis, Middle School Mathematics
Pelaez, Kevin – Journal of Educational Data Mining, 2019
Higher education institutions often examine performance discrepancies of specific subgroups, such as students from underrepresented minority and first-generation backgrounds. An increase in educational technology and computational power has promoted research interest in using data mining tools to help identify groups of students who are…
Descriptors: At Risk Students, College Students, Identification, Multivariate Analysis
Schneider, Bertrand; Blikstein, Paulo – Journal of Educational Data Mining, 2015
In this paper, we describe multimodal learning analytics (MMLA) techniques to analyze data collected around an interactive learning environment. In a previous study (Schneider & Blikstein, submitted), we designed and evaluated a Tangible User Interface (TUI) where dyads of students were asked to learn about the human hearing system by…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Environment
Kerr, Deirdre – Journal of Educational Data Mining, 2015
This study uses information about in-game strategy use, identified through cluster analysis of actions in an educational video game, to make data-driven modifications to the game in order to reduce construct-irrelevant behavior. The examination of student strategies identified through cluster analysis indicated that (a) it was common for students…
Descriptors: Information Retrieval, Data Analysis, Video Games, Educational Games
Xu, Beijie; Recker, Mimi; Qi, Xiaojun; Flann, Nicholas; Ye, Lei – Journal of Educational Data Mining, 2013
This article examines clustering as an educational data mining method. In particular, two clustering algorithms, the widely used K-means and the model-based Latent Class Analysis, are compared, using usage data from an educational digital library service, the Instructional Architect (IA.usu.edu). Using a multi-faceted approach and multiple data…
Descriptors: Electronic Libraries, Use Studies, Multivariate Analysis, Data Analysis
Saarela, Mirka; Karkkainen, Tommi – Journal of Educational Data Mining, 2015
Curricula for Computer Science (CS) degrees are characterized by the strong occupational orientation of the discipline. In the BSc degree structure, with clearly separate CS core studies, the learning skills for these and other required courses may vary a lot, which is shown in students' overall performance. To analyze this situation, we apply…
Descriptors: Data Analysis, Academic Achievement, Undergraduate Students, Core Curriculum
Mallavarapu, Aditi; Lyons, Leilah; Shelley, Tia; Minor, Emily; Slattery, Brian; Zellner, Moria – Journal of Educational Data Mining, 2015
Interactive learning environments can provide learners with opportunities to explore rich, real-world problem spaces, but the nature of these problem spaces can make assessing learner progress difficult. Such assessment can be useful for providing formative and summative feedback to the learners, to educators, and to the designers of the…
Descriptors: Spatial Ability, Urban Areas, Neighborhoods, Conservation (Environment)
Rupp, AndrĂ© A.; Nugent, Rebecca; Nelson, Brian – Journal of Educational Data Mining, 2012
In recent years the educational community has increasingly embraced digital technologies for the purposes of developing alternative learning environments, providing diagnostic feedback, and fostering the development of so-called 21st-century skills. This special issue is dedicated to bridging recent work from the disciplines of educational and…
Descriptors: Electronic Learning, Psychometrics, Educational Environment, Educational Technology
Kerr, Deirdre; Chung, Gregory K. W. K. – Journal of Educational Data Mining, 2012
The assessment cycle of "evidence-centered design" (ECD) provides a framework for treating an educational video game or simulation as an assessment. One of the main steps in the assessment cycle of ECD is the identification of the key features of student performance. While this process is relatively simple for multiple choice tests, when…
Descriptors: Evidence Based Practice, Design, Academic Achievement, Educational Games
Rupp, Andre A.; Levy, Roy; Dicerbo, Kristen E.; Sweet, Shauna J.; Crawford, Aaron V.; Calico, Tiago; Benson, Martin; Fay, Derek; Kunze, Katie L.; Mislevy, Robert J.; Behrens, John T. – Journal of Educational Data Mining, 2012
In this paper we describe the development and refinement of "evidence rules" and "measurement models" within the "evidence model" of the "evidence-centered design" (ECD) framework in the context of the "Packet Tracer" digital learning environment of the "Cisco Networking Academy." Using…
Descriptors: Computer Networks, Evidence Based Practice, Design, Instructional Design

Peer reviewed
