• Teachers’ Self-Efficacy with Artificial Intelligence (AI) Based Educational Tools

    Author(s):
    Allan H. Sumandal
    Editor(s):
    Frederick Fabella (see profile)
    Date:
    2023
    Group(s):
    Ignatian International Journal for Multidisciplinary Research
    Item Type:
    Article
    Tag(s):
    ANOVA; Artificial Intelligence; descriptive-correlation; educational tools; teachers’ self-efficacy
    Permanent URL:
    https://doi.org/10.17613/7qv1-0g04
    Abstract:
    The purpose of this study was to determine the level of teachers’ self-efficacy with the use of Artificial Intelligence-based educational tools. Descriptive-comparative was utilized as the research design. The investigation included twenty-five (25) AI teacher-users of Abueg National High School which was selected using a purposive sampling method. A validated self-made questionnaire in a Likert scale with four orderable gradations was employed to gather the necessary data. The statistical tools used were frequency, percentage, mean, standard deviation, and ANOVA test. Results suggest that the majority of the respondents were female, 31 to 40 years of age, 1 to 10 years in service with units in master’s degree. They have a high self-efficacy with AI indicating a strong belief in their ability to use AI-based educational tools to enhance teaching and learning practices. Using ANOVA one-way, a value greater than 0.05 was observed in all variables which means there is no significant difference in the respondent's demographic profile and their level of self-efficacy with AI tools. This result accepts the hypothesis. However, it was recommended that teachers should strengthen their use of AI-based tools to improve teaching and non-teaching-related tasks. Furthermore, attending workshops or seminars about AI in education was also suggested.
    Metadata:
    Published as:
    Journal article    
    Status:
    Published
    Last Updated:
    3 months ago
    License:
    Attribution-NonCommercial

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