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STUDY DESIGN AND PRELIMINARY RESULTS OF THE IMPACT OF ARTIFICIAL INTELLIGENCE USAGE IN THE TEACHING/LEARNING PROCESS IN A UNIVERSITY CONTEXT
Universidad Estatal de Milagro (ECUADOR)
About this paper:
Appears in: EDULEARN25 Proceedings
Publication year: 2025
Page: 3354 (abstract only)
ISBN: 978-84-09-74218-9
ISSN: 2340-1117
doi: 10.21125/edulearn.2025.0883
Conference name: 17th International Conference on Education and New Learning Technologies
Dates: 30 June-2 July, 2025
Location: Palma, Spain
Abstract:
The growing relevance of artificial intelligence (AI) in higher education necessitates a rigorous assessment of its impact and a proactive adaptation to its benefits. The Universidad Estatal de Milagro in Ecuador aims to analyze the effect of integrating AI tools, specifically ChatGPT, in the teaching/learning process of the subject Computational Thinking. The study's methodology is based on defining clear objectives: improving academic performance, increasing pass rates, reducing course dropout rates, and satisfaction. Before the implementation of AI, initial data on performance indicators will be collected to establish a baseline. The design and implementation of various AI techniques, such as natural language processing, recommendation systems, intelligent tutoring, educational content generation, and automated assessment.

Preliminary results indicate a positive trend in pass rates and average grades following the implementation of AI tools. Specifically, there was an increase of rates and an improvement of around 10% in average grades compared to the control group that did not use AI tools. Additionally, student satisfaction showed that 85% of participants reported a more enriching and personalized learning experience. The analysis of surveys revealed that students highly valued personalized and immediate feedback as key success factors. Intelligent tutoring tools and recommendation systems were particularly highlighted for their ability to adapt to individuals providing specific support in areas where students showed difficulties. Furthermore, a 14% decrease in the course dropout rate was recorded, suggesting that AI improves academic performance but also fosters greater student retention.

It is evident that the implementation of AI in teaching Computational Thinking at the Universidad Estatal de Milagro has shown substantial improvements in pass rate and student retention, suggesting that AI can be a valuable tool for transforming higher education. We believe that this research report will not only benefit our invaluable recommendations for other universities seeking to integrate AI into their educational processes. We hope that this research promotes a culture of innovation and emerging technologies, positioning the Universidad Estatal de Milagro as a leader in the adoption of advanced educational practices in Ecuador.
Keywords:
Artificial Intelligence, higher education, academic performance, student satisfaction, personalized learning.