Assessing the Use of Artificial Intelligence in the Classroom: Teachers Perspective
The purpose of this research was to examine the perspectives of teachers on the integration related to artificial intelligence (AI) within classroom instruction in the Patikul West District, under the jurisdiction of the Division of Sulu. A quantitative-descriptive research method was employed to gather relevant insights. The participants included 100 public elementary school teachers, purposefully selected to represent a broad spectrum of teaching experiences and viewpoints within the district. Data were collected using an adapted survey questionnaire structured into comprised two sections. The initial section gathered participants' background details, while the second evaluated respondents’ opinions about the use related to the application of AI in education. This section was further divided into three thematic areas: AI awareness, perceived benefits, and potential classroom applications, each comprising ten items. For data analysis, the data were analyzed using frequencies and percentages to the first research question. The second question was addressed using weighted mean and standard deviation. Independent t-tests and one-way ANOVA were employed to applied for the third question, as well as Pearson’s correlation analysis to explore potential correlations for the fourth. The findings revealed that most participants ranged in age from 26 to 35 years, with a majority being female and degree holders. Many participants also reported having five or fewer years of teaching experience. Overall, respondents acknowledged the importance of understanding AI and recognized its positive impact and possibilities in educational settings. Regardless of age differences, teachers generally demonstrated consistent perceptions across all AI-related aspects. A strong positive correlation was found between their knowledge of AI and their views on its advantages.
Authors
- DESDIMONA PAIE
Institutions
- Sul Ross State University (US)
Publication Details
- Journal
- Journal of Education and Academic Settings
- Published
- 2025-05-01
- DOI
- https://doi.org/10.62596/c3b8zj70
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00