Modern tools for distance education: information and analytical prospectus

Abstract

The article explores modern tools used in distance education, with the goal of reviewing their benefits and limitations. Relevant definitions of distance education are first discussed in the paper and after, the key provisions of the social constructivism theory in the context of education are presented. Various types of distance education tools, including communication, learning management, content creation, assessment, and artificial intelligence tools are identified in the article, and appropriate provisions of the social constructivism theory that allow for the implementation of these tools are explained. Using the theory of social constructivism as a basis, the article analyses modern distance education tools based on various parameters, including interactivity with peers, interactivity with teachers, engagement, problem-solving, and decision-making. In the article the advantages and disadvantages of using these tools are also examined, their potential to enhance communication, collaboration, and personalised learning, while also acknowledging challenges such as a lack of social interaction, technical difficulties, and pedagogical issues are highlighted. Overall, the article emphasises the need for careful design and regulation to reduce risks and overcome limitations, making distance education a valuable option for both learners and institutions. Teachers and students should work together in order to manage these challenges and take advantage of the benefits provided by these modern tools.

E-learning & Artificial Intelligence

“…For example, Chaudhry and Kazim (2022) explored case studies in subdomains of reducing lecturers' workload, contextualized learning for learners, revolutionizing assessments, and intelligent tutoring systems. The key features can be observed across a sample of major massive open online course (MOOC) platforms, AI-enabled learning management systems, Chatbots for Virtual Tutoring, AI translators, and personalized learning (Biliuk et al, 2023). Universities today have great challenges that include improvement of the possibility of having personalized learning experiences based on learners' abilities and preferences, real time data analysis, exploration of new courses and ways to enhance research.…”

AI in Higher Education: Utopia or Reality?

“…For example, Chaudhry and Kazim (2022) explored case studies in subdomains of reducing lecturers' workload, contextualized learning for learners, revolutionizing assessments, and intelligent tutoring systems. The key features can be observed across a sample of major massive open online course (MOOC) platforms, AI-enabled learning management systems, Chatbots for Virtual Tutoring, AI translators, and personalized learning (Biliuk et al, 2023). Universities today have great challenges that include improvement of the possibility of having personalized learning experiences based on learners' abilities and preferences, real time data analysis, exploration of new courses and ways to enhance research.…”

Challenges and prospects of online education in the context of barrier-free access

“…The psychological impact of digitalisation on the learner's psyche is identified in Denyshchuk (2023). An analysis of modern tools for implementing distance learning is presented in the study by Biliuk et al (2023).…”