Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 6 |
Descriptor
| Foreign Countries | 6 |
| Generalization | 6 |
| Teaching Methods | 5 |
| Problem Solving | 4 |
| Programming | 4 |
| Blended Learning | 3 |
| Classification | 3 |
| Cooperative Learning | 3 |
| Data Analysis | 3 |
| Dropouts | 3 |
| Educational Games | 3 |
| More ▼ | |
Author
Publication Type
| Collected Works - Proceedings | 3 |
| Journal Articles | 2 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
| Afghanistan | 1 |
| Australia | 1 |
| China | 1 |
| Dominican Republic | 1 |
| Finland | 1 |
| France | 1 |
| Illinois (Chicago) | 1 |
| New York (New York) | 1 |
| Russia | 1 |
| United Kingdom | 1 |
| United States | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Beck Depression Inventory | 1 |
| Program for International… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkMelissa G. Wolf; Daniel McNeish – Grantee Submission, 2023
To evaluate the fit of a confirmatory factor analysis model, researchers often rely on fit indices such as SRMR, RMSEA, and CFI. These indices are frequently compared to benchmark values of 0.08, 0.06, and 0.96, respectively, established by Hu and Bentler (1999). However, these indices are affected by model characteristics and their sensitivity to…
Descriptors: Programming Languages, Cutting Scores, Benchmarking, Factor Analysis
Download full textKusaka, Satoshi – Journal of Education and Learning, 2021
Information and Communication Technology (ICT) education has been actively implemented around the world recently. ICT curriculum in schools is intended to improve students' programming-oriented thinking rather than to train them as programmers. The core of ICT education is 'computational thinking'. Computational thinking is taking an approach to…
Descriptors: Cross Cultural Studies, Thinking Skills, Information Technology, Programming
Mishina, Anastasia V.; Yavgildina, Zilia M.; Samigullina, Rufina I.; Melnik, Tamara Y. – Cypriot Journal of Educational Sciences, 2018
The aim of this study is to compare the activities of Kabalevsky and Bernstein--two musicians who made a significant contribution to the musical education of the younger generation, reveals the principles, methods, forms of educational work and covers the subject of television programmes. In particular, the pedagogical and musical-enlightenment…
Descriptors: Foreign Countries, Music Education, Musicians, Musical Composition
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
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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
