Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| International Educational… | 6 |
Author
| Gross, Markus | 2 |
| Solenthaler, Barbara | 2 |
| Wampfler, Rafael | 2 |
| Barnes, Tiffany, Ed. | 1 |
| Bosch, Nigel | 1 |
| Chen, Yuxuan | 1 |
| D'Mello, Sidney | 1 |
| Desmarais, Michel, Ed. | 1 |
| Emch, Andreas | 1 |
| Hershkovitz, Arnon, Ed. | 1 |
| Hu, Xiangen, Ed. | 1 |
| More ▼ | |
Publication Type
| Collected Works - Proceedings | 3 |
| Speeches/Meeting Papers | 3 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 6 |
| Postsecondary Education | 6 |
| Junior High Schools | 3 |
| Middle Schools | 3 |
| Secondary Education | 3 |
| Elementary Education | 2 |
| Early Childhood Education | 1 |
| Grade 6 | 1 |
| Grade 8 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textWampfler, Rafael; Klingler, Severin; Solenthaler, Barbara; Schinazi, Victor R.; Gross, Markus – International Educational Data Mining Society, 2019
The role of affective states in learning has recently attracted considerable attention in education research. The accurate prediction of affective states can help increase the learning gain by incorporating targeted interventions that are capable of adjusting to changes in the individual affective states of students. Until recently, most work on…
Descriptors: Affective Behavior, Prediction, Problem Solving, Mathematics
Wampfler, Rafael; Emch, Andreas; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2020
Front camera data from tablets used in educational settings offer valuable clues to student behavior, attention, and affective state. Due to the camera's angle of view, the face of the student is partially occluded and skewed. This hinders the ability of experts to adequately capture the learning process and student states. In this paper, we…
Descriptors: Photography, Handheld Devices, Student Behavior, Affective Behavior
Chen, Yuxuan; Bosch, Nigel; D'Mello, Sidney – International Educational Data Mining Society, 2015
The current paper explores possible solutions to the problem of detecting affective states from facial expressions during text/diagram comprehension, a context devoid of interactive events that can be used to infer affect. These data present an interesting challenge for face-based affect detection because likely locations of affective facial…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Comprehension
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
