Benefits and Difficulties of Student-Generative Artificial Intelligence Collaboration in Programming Learning: An Empirical Case Study
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 11
Abstract
Conversational generative artificial intelligence Gen AI is sometimes viewed as a two-edged sword that could result in learning that is only superficial. We created and implemented a programming course that emphasizes student-Gen AI collaboration. The dynamics of such collaboration are examined in this study, with particular attention paid to students' communication tactics with Gen AI, perceived advantages, and difficulties faced. Class observations, questionnaires, final reports, student-Gen AI conversations, and semi-structured in-depth interviews were all used to gather data. The findings demonstrated that productive student-Gen AI collaboration might improve students' self-regulated and metacognitive learning abilities as well as have a good effect on human-to-human communication. The challenges and individual variations in working with Gen AI on challenging learning tasks were also disclosed by this study. All things considered, working with Gen AI as a learning partner as opposed to merely a tool allows for autonomous and sustained learning that goes beyond certain learning assignments at a particular moment.
Authors and Affiliations
Dr. B. Sujatha and Pothula Nani Babu
Integration of ANN Controller for AGC in Hydro-Thermal Systems with Dynamic Turbine Time Constants and Variable Power System Loading Conditions
The integration of an Artificial Neural Network (ANN) controller for Automatic Generation Control (AGC) in hydro-thermal power systems presents a novel approach to managing the dynamic and complex nature of modern power...
Effective Kyphosis Disease Prediction Using Machine Learning Algorithms
Kyphosis is the term used to describe the inward arching of the upper back. This specific ailment is sometimes referred to as"round back" or “hunchback” if there is a noticeable curvature. Kyphosis often occurs due to we...
Improving AGC Performance in Two-Area Power Systems by Harnessing ANFIS Controller and Renewable Energy Source Integration
In modern power systems, maintaining stability and optimal performance amidst increasing demand and renewable energy integration presents significant challenges. This study explores the enhancement of Automatic Generatio...
Benefits and Difficulties of Student-Generative Artificial Intelligence Collaboration in Programming Learning: An Empirical Case Study
Conversational generative artificial intelligence Gen AI is sometimes viewed as a two-edged sword that could result in learning that is only superficial. We created and implemented a programming course that emphasizes st...
Named entity recognition using AI-NLP
Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), which involves identifying and categorizing named entities in unstructured text data. In recent years, deep learning-based approaches...