Document Type : Research Paper
Authors
1 ,PhD student in assessment and measurement, Department of Psychology, college of human science,Saveh Branch,Islamic Azad University,Saveh,Iran
2 Assistant professor, Department of Assessment & Measurement (Psychometrics), Allameh Tabatabai University, Tehran, Iran
3 Department of Psychology, Allameh Tabatabai University, Tehran,. Iran.
Abstract
The present study examines the application of Natural Language Processing (NLP) in enhancing learning and education, focusing on its implications for Iran's educational system. This research was conducted using a mixed-methods approach, including both qualitative and quantitative data analysis.
In the qualitative section, interviews with 20 teachers and 10 technology experts revealed that integrating NLP can enable personalized learning, automated assignment evaluation, and early identification of learning difficulties. However, challenges such as insufficient school infrastructure, the need for teacher training, and ethical concerns related to data privacy were also identified.
In the quantitative section, 400 high school students in Tehran were divided into experimental (n=200) and control (n=200) groups. The experimental group used NLP-based software for English language learning, while the control group received traditional instruction. The results showed that NLP tools had a significant positive impact on students' academic performance, learning motivation, and English language skills.
This study highlights the transformative potential of NLP in education and underscores the need to address challenges such as infrastructure development, teacher training, and ethical and cultural issues for its successful integration. Investment in specialized tools for Iran's educational system and the development of ethical policies are essential for the successful implementation of this technology in education.
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