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.
This article is devoted to the development of an adaptive personalized online course in mathematics for students, which was implemented on the Stepik platform. The authors discuss a non-linear approach to online learning that adapts to the needs of the student as they progress through the course content, which leads to an individual learner's experience based on prior knowledge. Within the framework of this article, the authors consider the experience of Aktobe Higher Polytechnic College in the task of implementing an adaptive personalized online course, and also offer specific methods and technologies. For this reason, the authors are exploring Stepik adaptive personalized learning software as an educational platform and designer of open online courses and interactive training lessons, using videos, tests, and various tasks with automatic verification and instant feedback.
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