Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 4 |
| Since 2017 (last 10 years) | 6 |
| Since 2007 (last 20 years) | 6 |
Descriptor
| Automation | 6 |
| Error Patterns | 6 |
| Models | 5 |
| Grading | 3 |
| Online Courses | 3 |
| Programming | 3 |
| Scoring | 3 |
| Semantics | 3 |
| Accuracy | 2 |
| Artificial Intelligence | 2 |
| Cheating | 2 |
| More ▼ | |
Source
| International Educational… | 6 |
Author
| Ahmed Attia | 1 |
| Ali Sartaz Khan | 1 |
| Baral, Sami | 1 |
| Benachamardi, Priyanka | 1 |
| Botelho, Anthony F. | 1 |
| Chris Piech | 1 |
| Desmarais, Michel, Ed. | 1 |
| Dorottya Demszky | 1 |
| Epp, Carrie Demmans | 1 |
| Erickson, John A. | 1 |
| Feng, Mingyu, Ed. | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 4 |
| Speeches/Meeting Papers | 4 |
| Collected Works - Proceedings | 2 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 4 |
| Secondary Education | 4 |
| Junior High Schools | 3 |
| Middle Schools | 3 |
| Elementary Education | 2 |
| Grade 8 | 2 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| Grade 7 | 1 |
| High Schools | 1 |
| More ▼ | |
Audience
Location
| Brazil | 1 |
| California | 1 |
| Canada | 1 |
| District of Columbia | 1 |
| Ohio | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textYunsung Kim; Jadon Geathers; Chris Piech – International Educational Data Mining Society, 2024
"Stochastic programs," which are programs that produce probabilistic output, are a pivotal paradigm in various areas of CS education from introductory programming to machine learning and data science. Despite their importance, the problem of automatically grading such programs remains surprisingly unexplored. In this paper, we formalize…
Descriptors: Grading, Automation, Accuracy, Programming
Ali Sartaz Khan; Tolulope Ogunremi; Ahmed Attia; Dorottya Demszky – International Educational Data Mining Society, 2025
Speaker diarization, the process of identifying "who spoke when" in audio recordings, is essential for understanding classroom dynamics. However, classroom settings present distinct challenges, including poor recording quality, high levels of background noise, overlapping speech, and the difficulty of accurately capturing children's…
Descriptors: Audio Equipment, Acoustics, Classroom Environment, Models
Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Epp, Carrie Demmans – International Educational Data Mining Society, 2022
The need to identify student cognitive engagement in online-learning settings has increased with our use of online learning approaches because engagement plays an important role in ensuring student success in these environments. Engaged students are more likely to complete online courses successfully, but this setting makes it more difficult for…
Descriptors: Online Courses, Group Discussion, Learner Engagement, Student Participation
Baral, Sami; Botelho, Anthony F.; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – International Educational Data Mining Society, 2021
Open-ended questions in mathematics are commonly used by teachers to monitor and assess students' deeper conceptual understanding of content. Student answers to these types of questions often exhibit a combination of language, drawn diagrams and tables, and mathematical formulas and expressions that supply teachers with insight into the processes…
Descriptors: Scoring, Automation, Mathematics Tests, Student Evaluation
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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
