This study examined how educational performance metrics can be interpreted and evaluated by using ChatGPT, a large language model created by OpenAI, to analyze school data. Through the use of ChatGPT's sophisticated natural language processing tools, the study sought to ascertain how well AI can offer insightful data about student development and performance. Examining different data dimensions, including grades, gender, and other student performance indicators, was part of the study's effort to determine how well ChatGPT can spot patterns and trends that traditional data analysis techniques might miss. The study looked at how AI can help teachers make decisions that will improve their teaching methods and students' academic performance. The study rigorously evaluated the accuracy, efficiency, and practicality of employing ChatGPT for educational data analysis. It considered the precision of the AI's interpretations compared to human analysts and other conventional analytical tools, assessing whether ChatGPT can match or exceed their performance in identifying key insights. Efficiency is measured in terms of time and resource savings, determining if the use of ChatGPT can streamline the data analysis process without compromising on quality. Practicality is examined by considering the ease of integrating ChatGPT into existing educational data systems and the user-friendliness of the AI for educators and administrators. Through this comprehensive evaluation, the study aims to provide a nuanced understanding of the potential benefits and challenges of using artificial intelligence in the educational sector, highlighting its capacity to revolutionize how schools analyze and utilize data for student development.
Data Analysis, Artificial Intelligence, ChatGPT
IRE Journals:
Malyn S. Dionesio , Janice S. Dionisio , Gandalyn A. Ganag , Mary Grace C. Anchales , Alain Delon D. Ringor; Joyce B. Menzi
"Exploring the Use of Artificial Intelligence in Data-Analysis: A Case Study of ChatGPT" Iconic Research And Engineering Journals Volume 8 Issue 1 2024 Page 545-555
IEEE:
Malyn S. Dionesio , Janice S. Dionisio , Gandalyn A. Ganag , Mary Grace C. Anchales , Alain Delon D. Ringor; Joyce B. Menzi
"Exploring the Use of Artificial Intelligence in Data-Analysis: A Case Study of ChatGPT" Iconic Research And Engineering Journals, 8(1)