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Title:
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THE DEVELOPMENT OF STUDENTS' ALGORITHMIC COMPETENCE BY MEANS OF ELECTRONIC LEARNING RESOURCES |
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Author(s):
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Evgenia V. Baranova, Irina V. Simonova, Mikhail I. Bocharov and Victoria V. Zabolotnaia |
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ISBN:
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978-989-8533-93-7 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler, Pedro Isaías and Maria Lidia Mascia |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Algorithmic Competence, B. Bloom's Taxonomy, Computer Science Teacher Training, Blended Learning, Electronic
Learning Resources |
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Type:
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Full Paper |
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First Page:
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77 |
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Last Page:
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84 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The problem of development of algorithmic competence of students future Computer Science teachers as a component
of information competence is investigated. The aim of the study is to identify the conditions for effective
algorithmization and programming learning, involving a modular representation of the content, blended learning,
allocated in accordance with the B. Bloom's taxonomy classes of problems in Computer Science and Methods of its
Teaching and the use of electronic learning resources. This paper specifies the concept of algorithmic competence of
university students students readiness to design algorithms and programs, their use in professional activities in the
process of Computer Science teaching, electronic learning resources (ELR) design, self-education in the field of
Computer Science. Classes of problems for algorithmic competence development in accordance with B. Bloom's
taxonomy (knowledge, comprehension, application, analysis, synthesis and evaluation) are identified. Classes of
problems correspond to ELR of a certain structure and content. The efficiency of ELR use in students algorithmic
competence development is statistically confirmed. |
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