Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Computer Simulation | 3 |
| Independent Study | 3 |
| Individualized Instruction | 3 |
| Artificial Intelligence | 2 |
| Blended Learning | 2 |
| Educational Technology | 2 |
| Internet | 2 |
| Teaching Methods | 2 |
| Access to Computers | 1 |
| Achievement Gains | 1 |
| Achievement Tests | 1 |
| More ▼ | |
Author
| Eldakak, Sam | 1 |
| Isaias, Pedro, Ed. | 1 |
| Liu, Ying | 1 |
| McCarthy, Elizabeth M. | 1 |
| Ongena, Guido, Ed. | 1 |
| Ravesteijn, Pascal, Ed. | 1 |
| Schauer, Karen L. | 1 |
| Sánchez, Inmaculada… | 1 |
Publication Type
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
| California | 1 |
| Czech Republic | 1 |
| South Africa | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Measures of Academic Progress | 1 |
What Works Clearinghouse Rating
McCarthy, Elizabeth M.; Liu, Ying; Schauer, Karen L. – Journal of Research on Technology in Education, 2020
This study describes a strengths-based blended personalized learning model, the implementation of the model over a 4-year period, and the results of an impact study focused on measuring its effectiveness. The model includes many commonly-used features of personalized learning, including (a) competency-based progressions, (b) flexible learning…
Descriptors: Blended Learning, Computer Simulation, Independent Study, Language Usage
Sánchez, Inmaculada Arnedillo, Ed.; Isaias, Pedro, Ed.; Ravesteijn, Pascal, Ed.; Ongena, Guido, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the 15th International Conference on Mobile Learning 2019, which was organised by the International Association for Development of the Information Society and co-organised by the University of Applied Sciences, in Utrecht, The Netherlands, April 11-13, 2019. The Mobile Learning 2019 Conference…
Descriptors: Electronic Learning, Educational Research, Learning Analytics, Internet
Eldakak, Sam – Online Submission, 2012
Computers can help the range of ways learners build up their own perception. Students who collect data from the Internet can be self-directed and independent. They can select sources to study and the connections to follow. Relying on the bounds laid down by teachers, the students may be in full control of their subjects and their studies. Students…
Descriptors: Computer Uses in Education, Computer Software, Educational Technology, Multimedia Materials

Peer reviewed
Direct link
