Artificial Intelligence in Education: AIEd for Personalised Learning Pathways

Autor/inn/en	Tapalova, Olga; Zhiyenbayeva, Nadezhda
Titel	Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
Quelle	In: Electronic Journal of e-Learning, 20 (2022) 5, S.639-653 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Artificial Intelligence; Technology Uses in Education; Educational Technology; Electronic Learning; Individualized Instruction; Intelligent Tutoring Systems; Social Media; Virtual Classrooms; Foreign Countries; Access to Education; Feedback (Response); Ethics; Educational Benefits; College Students; Kazakhstan + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Unterrichtsmedien; Individualisierender Unterricht; Intelligentes Tutorsystem; Soziale Medien; Ausland; Education; Access; Bildung; Zugang; Bildungszugang; Ethik; Bildungsertrag; Collegestudent; Kasachstan
Abstract	Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building personalised learning systems for students. The research investigates and proposes a framework for AIEd: social networking sites and chatbots, expert systems for education, intelligent mentors and agents, machine learning, personalised educational systems and virtual educational environments. These technologies help educators to develop and introduce personalised approaches to master new knowledge and develop professional competencies. The research presents a case study of AIEd implementation in education. The scholars conducted the experiment in educational establishments using artificial intelligence in the curriculum. The scholars surveyed 184 second-year students of the Institute of Pedagogy and Psychology at the Abay Kazakh National Pedagogical University and the Kuban State Technological University to collect the data. The scholars considered the collective group discussions regarding the application of artificial intelligence in education to improve the effectiveness of learning. The research identified key advantages to creating personalised learning pathways such as access to training in 24/7 mode, training in virtual contexts, adaptation of educational content to personal needs of students, real-time and regular feedback, improvements in the educational process and mental stimulations. The proposed education paradigm reflects the increasing role of artificial intelligence in socio-economic life, the social and ethical concerns artificial intelligence may pose to humanity and its role in the digitalisation of education. The current article may be used as a theoretical framework for many educational institutions planning to exploit the capabilities of artificial intelligence in their adaptation to personalized learning. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01