Using artificial intelligence to personalise curricula and increase motivation to learn, taking into account psychological aspects

Viktoriya Mykhaylenko, Nadiia Safonova, Ruslan Ilchenko, Anton Ivashchuk and Ivanna Babik

Data and Metadata, 2024, vol. 3, .241

Abstract: Objectives: This study aimed to assess the effectiveness of artificial intelligence on education, focusing on how it can be leveraged to personalised learning experiences tailored to the specific needs of students. Study Design: A comprehensive literature review was conducted, alongside an analysis of psychological factors that influence student motivation. Place and Duration of the Study: Relevant academic sources and case studies were reviewed over the duration of six months to gather insights on AI applications in education. Sample: The sample consisted of the scientific thought and scientists that have integrated AI technologies into their curricula. Methodology: A qualitative analysis from literature was utilised in this research to evaluate AI tools' effectiveness in enhancing personalised learning outcomes. Results: The findings indicate that ChatGPT is currently the most widely utilised AI tool in educational contexts, demonstrating a significant capacity to personalised learning by adapting it to individual psychological profiles and learning paces. Conclusion: The integration of AI technologies in education presents unprecedented opportunities for curriculum personalisation and student engagement. However, it also necessitates careful consideration of ethical issues, especially related to learner data privacy, to ensure responsible implementation

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:datame:v:3:y:2024:i::p:.241:id:1056294dm2024241

DOI: 10.56294/dm2024.241

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