Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 6 |
Descriptor
Learning Analytics | 6 |
Validity | 6 |
Middle School Students | 5 |
Algorithms | 4 |
Computer Assisted Instruction | 4 |
Correlation | 4 |
Learning Processes | 4 |
Models | 4 |
Prediction | 4 |
Teaching Methods | 4 |
Algebra | 3 |
More ▼ |
Author
Amisha Jindal | 3 |
Ashish Gurung | 3 |
Erin Ottmar | 3 |
Ji-Eun Lee | 3 |
Reilly Norum | 3 |
Sanika Nitin Patki | 3 |
Aleven, Vincent | 1 |
Baker, Ryan S. J. d. | 1 |
Borchers, Conrad | 1 |
Gobert, Janice | 1 |
Hershkovitz, Arnon | 1 |
More ▼ |
Publication Type
Reports - Research | 6 |
Journal Articles | 2 |
Speeches/Meeting Papers | 2 |
Education Level
Junior High Schools | 6 |
Middle Schools | 6 |
Secondary Education | 6 |
Elementary Education | 2 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Kindergarten | 1 |
Primary Education | 1 |
Audience
Location
Massachusetts | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Patterns of Adaptive Learning… | 1 |
What Works Clearinghouse Rating
Shou, Tianze; Borchers, Conrad; Karumbaiah, Shamya; Aleven, Vincent – International Educational Data Mining Society, 2023
Spatial analytics receive increased attention in educational data mining. A critical issue in stop detection (i.e., the automatic extraction of timestamped and located stops in the movement of individuals) is a lack of validation of stop accuracy to represent phenomena of interest. Next to a radius that an actor does not exceed for a certain…
Descriptors: Classroom Design, Accuracy, Validity, Space Utilization
Kim, Yoon Jeon; Knowles, Mariah A.; Scianna, Jennifer; Lin, Grace; Ruipérez-Valiente, José A. – British Journal of Educational Technology, 2023
Game-based assessment (GBA), a specific application of games for learning, has been recognized as an alternative form of assessment. While there is a substantive body of literature that supports the educational benefits of GBA, limited work investigates the validity and generalizability of such systems. In this paper, we describe applications of…
Descriptors: Learning Analytics, Validity, Generalizability Theory, Game Based Learning
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies