Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Author
Chu, Man-Wai | 1 |
Cui, Ying | 1 |
Guo, Qi | 1 |
Leighton, Jacqueline P. | 1 |
Mavrikis, Manolis, Ed. | 1 |
McLaren, Bruce M., Ed. | 1 |
Ozkan, Betul C. | 1 |
Pardos, Zachary, Ed. | 1 |
Stamper, John, Ed. | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Collected Works - Proceedings | 1 |
Education Level
Elementary Education | 3 |
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Grade 6 | 1 |
Grade 8 | 1 |
Higher Education | 1 |
Intermediate Grades | 1 |
Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
Ozkan, Betul C. – Qualitative Report, 2004
This article describes how a qualitative data analysis package, NVivo, was used in a study of authentic and constructivist learning and teaching in the classroom. The paper starts with a summary of the research study in which NVivo was used to analyze the data and overviews the methodology that was adopted in this study. It, then, describes how…
Descriptors: Constructivism (Learning), Qualitative Research, Research Methodology, Data 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