Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 3 |
| Since 2016 (last 10 years) | 4 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Coding | 6 |
| Models | 6 |
| Natural Language Processing | 6 |
| Artificial Intelligence | 4 |
| Programming | 4 |
| Academic Achievement | 3 |
| Automation | 3 |
| Classification | 3 |
| Computer Software | 3 |
| Cooperative Learning | 3 |
| Educational Research | 3 |
| More ▼ | |
Source
| International Educational… | 3 |
| International Working Group… | 1 |
| Journal of Computer Assisted… | 1 |
| Physical Review Physics… | 1 |
Author
| Barnes, Tiffany | 1 |
| Barnes, Tiffany, Ed. | 1 |
| Bohm, Isabell | 1 |
| Calders, Toon | 1 |
| Chi, Min | 1 |
| Conati, Cristina | 1 |
| Di Mitri, Daniele | 1 |
| Drachsler, Hendrik | 1 |
| Emily M. Stump | 1 |
| Gombert, Sebastian | 1 |
| Grimm, Adrian | 1 |
| More ▼ | |
Publication Type
| Collected Works - Proceedings | 3 |
| Reports - Research | 3 |
| Journal Articles | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 3 |
| Secondary Education | 3 |
| Elementary Education | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Postsecondary Education | 2 |
| Early Childhood Education | 1 |
| Grade 6 | 1 |
| Intermediate Grades | 1 |
Audience
| Researchers | 1 |
Location
| China | 1 |
| Finland | 1 |
| France | 1 |
| Germany | 1 |
| Netherlands | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkRebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Gombert, Sebastian; Di Mitri, Daniele; Karademir, Onur; Kubsch, Marcus; Kolbe, Hannah; Tautz, Simon; Grimm, Adrian; Bohm, Isabell; Neumann, Knut; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Formative assessments are needed to enable monitoring how student knowledge develops throughout a unit. Constructed response items which require learners to formulate their own free-text responses are well suited for testing their active knowledge. However, assessing such constructed responses in an automated fashion is a complex task…
Descriptors: Coding, Energy, Scientific Concepts, Formative Evaluation
Download full textMao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
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
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
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
