THE APPLICATION OF THE LEARNING MANAGEMENT SYSTEM (MOODLE) AS A MEANS OF PEDAGOGICAL EFFECTIVENESS IMPROVEMENT IN THE CONTEXT OF INDUSTRY 4.0 CONCEPT
The introduction of the Industry 4.0 concept influenced significantly on the development of higher education and contributed to the appearance of new effective technologies in education. Students actively use various information platforms that are necessary for the development of knowledge and skills in modern conditions. The necessity of development and improvement of new training methods causes a number of problems related to the use of the learning management system (LMS), in particular, the opposition emerges at the level of adherence to traditional teaching technologies. In this regard, the topic of adaptation of lectures to the conscious using of LMS instrument in order to increase pedagogical efficiency becomes relevant. The aim of the study is the analysis of the effectiveness of teaching activities in the context of Modular Object-Oriented Dynamic Learning Environment (MOODLE). The paper describes the features of the notion of pedagogical efficiency within the Industry 4.0 concept. The authors analyzed the educational conditions of the MOODLE learning environment and the implementation of these conditions on the part of a student and teacher. The authors identified and justified the impact of MOODLE instrument on the pedagogical effectiveness and professional identity of teaching staff. As a part of the evaluation of pedagogical effectiveness, the authors proposed the index of innovative educational technologies implementation. The paper presents the data of comparative analysis of the effectiveness of high school teachers who use and do not use LMS technologies in their activities and the analyses of students’ performance, the level of satisfaction with the course, and the students’ activity level.
Kumar J.A., Al-Samarraie H. MOOCs in the Malaysian higher education institutions: The instructors perspectives. Reference Librarian, 2018, vol. 59, no. 3, pp. 163–177.
Khusainova A.A. Pedagocical conditions of using learning management sustem moodle in the organisation of individual work in foreign language teaching students of economic specialities. Sovremennye issledovaniya sotsialnykh problem (elektronnyy nauchnyy zhurnal), 2013, no. 2, pp. 11–22.
Ifinedo P. Roles of perceived fit and perceived individual learning support in students’ weblogs continuance usage intention. International Journal of Educational Technology in Higher Education, 2018, vol. 15, no. 1, pp. 1–18.
Then M., Wallenborn B., Nussbaumer A., Fuchs M., Fuchs S., Hemmje M. Interfaces and services for integrating games and game components into competence based courses within learning management systems. IEEE Global Engineering Education Conference, 2018, vol. 2018, pp. 1787–1796.
Liagkou V., Stylios C. A trustworthy and privacy preserving model for online competence evaluation system. Advances in intelligent systems and computing, 2019, vol. 761, pp. 338–347.
Al-Samarraie H., Saeed N. A systematic review of cloud computing tools for collaborative learning: Opportunities and challenges to the blended-learning environment. Computers and Education, 2018, vol. 124, pp. 77–91.
Baragash R.S., Al-Samarraie H. An empirical study of the impact of multiple modes of delivery on student learning in a blended course. Reference Librarian, 2018, vol. 59, no. 3, pp. 149–162.
Karmanova E.V. The features of organizing blended learning using lms MOODLE. Informatika i obrazovanie, 2018, no. 8, pp. 43–50.
Berdichevskiy A.A. Optimizatsiya sistemy obucheniya inostrannym yazykam v pedagogicheskom vuze [Optimization of the system of teaching foreign languages in a pedagogical university]. Moscow, Vysshaya shkola Publ., 1989. 103 p.
Kostromina N.N. Pedagogical learning technologies: the essence, their characteristics and efficiency. Sibirskiy pedagogicheskiy zhurnal, 2007, no. 12, pp. 105–111.
Plotnikova N.A., Pichugina I.V. Efficiency of pedagogical activity in institutes of higher education. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya: Obrazovanie. Pedagogicheskie nauki, 2009, no. 38, pp. 74–77.
Khalimova N.M. The effectiveness of the pedagogical quality management system of vocational education in the context of its reform. Pedagogika: traditsii i innovatsii: materialy Mezhdunarodnoy nauchnoy konferentsii. Chelyabinsk, Dva komsomoltsa Publ., 2011. Vol. 2, pp. 54–56.
Vendrovskaya R.B., ed. Problemy sovremennoy shkoly: sbornik [Problems of the modern school: collection]. Moscow, Akad. ped. nauk SSSR Publ., 1975. 159 p.
Kazanovich V.G. Metodicheskie rekomendatsii po sozdaniyu, organizatsii i provedeniyu monitoringa kachestva obrazovaniya v vuze [Monitoring the quality of education in high school]. Moscow, Issledovatelskiy tsentr problem kachestva podgotovki spetsialistov Publ., 2001. 15 p.
Vishnevskaya L.P. Criteria for pedagogical effectiveness of personality-oriented educational technologies. Izvestiya Penzenskogo gosudarstvennogo pedagogicheskogo universiteta im. V.G. Belinskogo, 2008, no. 11, pp. 120–124.
Kravchenko G.V. Pedagogical Features of Distance Learning in the Moodle Environment. Izvestiya Altayskogo gosudarstvennogo universiteta, 2015, no. 3-1, pp. 59–63.
Chow J., Tse A., Armatas C. Comparing trained and untrained teachers on their use of LMS tools using the Rasch analysis. Computers and Education, 2018, vol. 123, pp. 124–137.
Fomichev R.S. The criteria and indicators of use effectivity of modern educational technologies in education modernization. Gumanitarnye nauchnye issledovaniya, 2014, no. 11, pp. 98–103.
Rymanova I.E. Use of environment MOODLE for professional foreign language teaching technical higher education establishment students. Filologicheskie nauki. Voprosy teorii i praktiki, 2013, no. 11-2, pp. 164–167.
Titova S.V. Innovatsionnyy pedagogicheskiy menedzhment: metodicheskiy kompleks [Innovative pedagogical management: methodical complex]. Moscow, ATiSO Publ., 2008. 117 p.
Saw T., Win K.K., Aung Z.M.M., Oo M.S. Investigation of the use of learning management system (Moodle) in university of computer studies. Big Data Analysis and Deep Learning Applications, 2019, vol. 744, pp. 160–168.