Using a Personalized Learning Style and Google Classroom Technology to Bridge the Knowledge Gap on Computer Science
| Autor: | Jaroslav Kultan, Zhanat Kopeyev, Akan Mubarakov, Yessenkeldy Tuyakov, Gaukhar Aimicheva |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:T58.5-58.64
Computer science lcsh:Information technology Computational thinking General Engineering Context (language use) Process design knowledge gap in computer science Personalized learning google classroom technology continuity Bridge (nautical) Education Style (sociolinguistics) Bridging (programming) learning outcomes differentiated learning computational thinking Mathematics education ComputingMilieux_COMPUTERSANDEDUCATION lcsh:L lcsh:Education |
| Zdroj: | International Journal of Emerging Technologies in Learning (iJET), Vol 15, Iss 02, Pp 218-229 (2020) |
| ISSN: | 1863-0383 |
| Popis: | The article is devoted to the challenge of bridging the knowledge gap on computer science in context of the Kazakhstani education. The authors discuss the main reasons of gap in knowledge on computer science at first-year students and suggest suitable teaching to solve the indicated challenge. The considered teaching is based on the principle of continuity to teaching which provide correlation between various levels of education and improving the effectiveness of teaching. The different levels of the students’ learning outcomes on computer science is considered as one of the most important cause of the investigated challenge. For this reason, the authors investigate the educational process design and the differentiated learning methodology using the Google Classroom technology aimed to the bridging knowledge gap in computer science. |
| Databáze: | OpenAIRE |
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