
doi: 10.55056/etq.37
The article describes the possibilities of using massive open online courses (MOOC) in teaching the discipline "Fundamentals of Programming" to students majoring in software engineering. The content of studying the discipline "Fundamentals of Programming" and the number of hours allotted for its study in institutions of higher education in Ukraine is analyzed. When studying the discipline "Fundamentals of Programming" at the Zhytomyr Polytechnic State University, the study of the corresponding course on the platform of massive open online courses Sololearn is submitted for independent work. A description of the possibilities of using this MOOC in teaching the discipline "Fundamentals of Programming" to future specialists in software engineering is presented. In addition, using a pedagogical experiment, the effectiveness of using the Sololearn in teaching the discipline "Fundamentals of Programming" to future software engineering specialists was tested. The results of the pedagogical experiment showed the effectiveness of using the MOOC Sololearn in teaching the "Fundamentals of Programming" to future software engineering specialists.
massive open online courses, software engineering specialists, fundamentals of programming, L, Education
massive open online courses, software engineering specialists, fundamentals of programming, L, Education
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
