Pros and Cons of Generative Artificial Intelligence in Teaching-Learning Process: A Sequential Explanatory Design

Generative Artificial Intelligence (GAI) is a type of AI that can create new content, e.g., text, based on patterns and structures learned from existing data, and its application is pervasive in several areas, including education. This study, therefore, sought to assess the Junior High School (JHS) teachers' perception of the pros and cons of GAI in teaching and learning. It also aimed to determine the challenges teachers faced with GAI. This study utilized the sequential explanatory design, utilizing 50 teachers in a Junior High- School Integrated School in Sagay District, Schools Division of Camiguin, for the school year 2023-2024. Results revealed that the teacher-respondents perceived Generative AI to have a "Moderate Extent" of advantages as they believed in its potential application in essential improvements in teaching. However, they further reported a "High Extent" of disadvantages, notably its significant influence on conventional teaching-learning practices. The qualitative results also demonstrated several challenges, including factors limited teacher oversight of student AI Use, limited access to information, decreased learner retention, the overshadowing of traditional teaching methods, and the encouragement of academic dishonesty. In light of the results, the article suggests that policies be instituted around the responsible and effective use of generative AI in schools.