Designing E-Learning Content Using AGLOs
| Autor: | Vladimir-Ioan Cretu, Ciprian-Bogdan Chirila, Felicia-Mirabela Costea |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Class (computer programming)
Computer science business.industry Scale (chemistry) E-learning (theory) 05 social sciences Computer programming 050301 education 02 engineering and technology JavaScript Human–computer interaction 0202 electrical engineering electronic engineering information engineering Code (cryptography) 020201 artificial intelligence & image processing TUTOR business 0503 education computer computer.programming_language Drawback |
| Zdroj: | ICSTCC |
| DOI: | 10.1109/icstcc.2019.8885794 |
| Popis: | Learning technologies for autonomous study of computer programming abstract concepts are not yet available on a large scale. In this sense we propose an e-learning content design to meet both: the needs of the tutor in the class and the needs of the student able to study on his own at home. Theoretical materials based on static text have the advantage of presenting all the notions in details but the drawback of being impossible to exercise with. On the other hand, Auto-Generative Learning Objects are designed for exercising and testing the understanding of abstractions and concepts for computer programming. AGLOs were not created for presenting in detail the theoretical descriptions of concepts. In this sense we propose a design of a mixed learning content including: static text theory, dynamic JavaScript demos, dynamic AGLOs, static code images and proposed exercises to be manually assessed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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