Transforming Education: The Impact and Potential of Artificial Intelligence in Personalized Learning Environments
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Abstract
This study investigates the impact and potential of Artificial Intelligence (AI) in personalized learning environments within the context of education. The objectives were two-fold: first, to assess the effectiveness of AI-driven personalized learning systems in enhancing student academic performance and engagement compared to traditional teaching methods; and second, to identify challenges and propose strategies for implementing AI technologies in educational settings. A survey research design was employed; involving 186 undergraduate students aged 18-22 from various educational institutions. The survey utilized a structured questionnaire developed through a comprehensive literature review and expert consultations. Data collected included demographic information, perceptions of academic performance, engagement with learning materials, and motivation while using AI-driven tools. Descriptive statistics and paired samples t-tests were conducted to analyze the data. The findings reveal a diverse sample with a higher representation of male participants (67.7%) and a majority holding Master’s degrees (84.9%). Most respondents were from urban areas (44.1%) and studied in fields like Technology (27.4%) and Humanities (27.4%). Descriptive statistics indicate positive perceptions of academic performance and engagement, with mean scores for engagement and motivation significantly higher (4.53) when using AI-driven tools compared to traditional methods (4.34). Validation of hypotheses showed that while there was a positive trend in academic performance with AI tools, the improvement was not statistically significant (p = 0.079). Conversely, AI-driven personalized learning environments significantly enhanced student engagement and motivation (p = 0.001), supporting hypothesis H12.
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References
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