Theoretical and methodical principles of the cloud-based learning environment design and use in the training of bachelors in computer science

- Вакалюк, Тетяна Анатоліївна (orcid.org/0000-0001-6825-4697) (2019) Theoretical and methodical principles of the cloud-based learning environment design and use in the training of bachelors in computer science Other thesis, ЖДУ імені Івана Франка.

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Abstract

The dissertation for a Doctor of Pedagogical Sciences degree, specialty 13.00.10 – "Information and Communication Technologies in Education" (011 – Educational, pedagogical science). – Zhytomyr Ivan Franko State University, Zhytomyr; Institute of Information Technologies and Learning Tools of NAPS of Ukraine, Kyiv, 2019. The research presents a general theoretical and methodological description of the cloud-based learning environment design problem and methods of use of a cloud-based learning environment in the training of bachelors in computer science. The concept of “a cloud-based learning environment used in the training of bachelors in computer science” is specified as a learning environment of a higher educational institution where didactical purposes of the training of bachelors in computer science and collaboration between teachers and students are achieved through the use of cloud-computing technologies and services. On the basis of the theoretical analysis of scientific literature the main features and requirements that the cloud-based learning environment should meet were identified. As a result of the theoretical analysis it was found that to design a learning environment means to study objective and methodical aspects of a learning process in an educational institution where a learning environment will be established. The author’s structured model of the cloud-based learning environment used in the training of bachelors in computer science was developed and substantiated. The model is aimed at achieving the learning goals stated in the standards of higher education through all the structural components of the cloud-based learning environment (CBLE). The features that such a cloud-based learning environment should correspond to were identified. The interaction model between participants of the learning process in the cloud-based learning environment was developed. The procedure of the design of a cloud-based learning environment used in the training of bachelors in computer science is presented and substantiated. It consists of the following stages: analysis, problem statement, setting of goals and objectives, formulation of requirements for the cloud-based learning environment, CBLE modeling, CBLE development, CBLE use in the training of bachelors in computer science, efficiency checking, CBLE implementation in higher educational institution for the training of bachelors in computer science. The following criteria and relevant indicators for selecting cloud-based learning support systems were selected: design (reliability; accessibility; multilingual; safety; adaptability; ease of use and administration; price); technological (provisioning of access with different access levels; storage of data in a cloud; integrations with other cloud-based services; options to upload different types of files); communicational (membership features, options to communicate with users, creation of groups, forum and chat features); informational and didactical (structure, calendar, assessment of students' academic achievements, file sharing, testing and interviewing, options to organize the group and individual forms of work, analytics for a particular course). The conducted expert evaluation has shown that the most convenient and high quality toolkit for designing CBLE of a higher education institution when considering all the criteria is NeoLMS. The content-methodical component forms, methods, means (both traditional and cloud-oriented ones) of the structural cloud-oriented learning environment model have been specified, that can be implemented in this cloud-oriented training support system of bachelors in computer science. The following criteria and relevant indicators for web-based and cloud-based technologies for the training of bachelors in computer science were selected: for compilers: design (reliability, accessibility, price) and functional (entering input data by users; usability; multilingual); for systems of automated assessment of programming assignments: design (reliability; accessibility; multilingual; usability; price); informational and didactical (predefined assignments; classification of assignments using sections, creation of competitions, indication of the number of attempts to pass an assignment, methodical section, rating, help center); communicational (membership features, options to communicate with users, creation of groups); for mind maps: design (adaptability, price, availability, usability, cloud infrastructure); functional (multilingual, storage of mind maps, distribution of mind maps, library of templates); for MOOC platforms: informational and didactical (creation of own courses, predefined courses, coverage of a variety of subjects, coverage of topics of a discipline, assignments, courses of world top universities); functional (multilingual, membership, one account - multiple courses). The expert evaluation has shown that the most convenient and high quality tools when considering all criteria are: among web-oriented and cloud-based compilers: ideone.com, and AWS Cloud 9; among systems of automated assessment of programming assignments - e-olymp and TopCoder; among cloud-based mind maps - Mindmeister; among MOOC platforms - Udemy. The general structure of the methodical system of the use of CBLE in the training of bachelors in computer science was presented, the purpose, content, methods, means and forms were defined. To improve the content of the use of CBLE in the training of bachelors in computer science it was suggested: to select the cloud-based training support systems (CBTSS) as a part of CBLE for the use in the educational process of bachelors in computer science, as well as cloud-based training courses that are appropriate for the use in the process of training bachelors in computer science; to improve the content of disciplines, which are directly related to programming, towards supporting the usage of CBTSS and cloud-based learning tools (CBLT) in the curriculum of various subjects of such disciplines; to develop and implement the optional discipline "Cloud technologies in education" to familiarize students with peculiarities of the use of various cloud based tools in the training process of bachelors in computer science, as well as to conduct additional courses (trainings) for teachers of Institutions of General Secondary Education (IGSE) and professors of Institutions of Higher Education (IHE) to familiarize them with peculiarities of the use of cloud based tools in the educational process of IGSE and IHE. For the complex implementation of this methodical system it is necessary to use CBTSS, as a component of the CBLE, selected CBLT and Web-oriented systems of automated assessment of programming assignments in the professional training of bachelors in computer science. The essence of the concept "IC-competence of bachelors in computer science on the use of CBLE" is specificated - it is an ability of an expert to use cloud technologies in the further professional practice, as well as to solve various tasks in the field of computer science and ICT. In order to increase the effectiveness of the use of the CBLE in the training of bachelors in computer science, a set of recommendations on the peculiarities of setting up and using the cloud-based training support system in the process of professional training of bachelors in computer science was created. Materials of the research can be used at institutions of higher education and scientific institutions during the training of bachelors and masters in computer science and in the process of improving the qualification of teachers and scientific and pedagogical staff, to improve the educational process, in self-education activities of the scientific and pedagogical staff.

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