Delving User Trust in Utilizing of ChatGPT in Learning Among Elementary Education Students: A Mixed Methods Study

The purpose of this undertaking was to invistegate the level of user trust among elementary education students at Kapalong College, Davao del Norte, as they integrate ChatGPT into their learning experiences. Also, the study aimed to explore the lived experiences of elementary education students in the utilization of ChatGPT in the preparation and creation of their learning tasks and assignments. This study engaged mixed method design, utilizing parallel convergent approach. The participants of the study were the elementary educations students from all year levels. There were 188 students who were randomly selected for quantitative and 14 for the qualitative: seven for in-depth interview and seven for focus group discussion which were purposively selected. Results revealed a high level of trust in ChatGPT's competence, reliability, and integrity, along with a strong intent among students to utilize it for various educational purposes. Actual usage encompassed tasks such as translation, creative writing, and academic discussions. The study underscores the positive perceptions and significant engagement with ChatGPT among students, indicating its potential as a valuable educational tool. By blending quantitative and qualitative methods, the research provides comprehensive insights into integration strategies, challenges, and recommendations, thereby enhancing the validity of its findings. Situated within the local context of Kapalong, Davao del Norte, the study offers actionable insights to improve teaching and learning, while also contributing to the global discourse on AI's role in education, enriching our understanding of its pedagogical implications.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-01
DOI
https://doi.org/10.5281/zenodo.14582067
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Delving User Trust in Utilizing of ChatGPT in Learning Among Elementary Education Students: A Mixed Methods Study

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Delving User Trust in Utilizing of ChatGPT in Learning Among Elementary Education Students: A Mixed Methods Study

article en

Abstract

The purpose of this undertaking was to invistegate the level of user trust among elementary education students at Kapalong College, Davao del Norte, as they integrate ChatGPT into their learning experiences. Also, the study aimed to explore the lived experiences of elementary education students in the utilization of ChatGPT in the preparation and creation of their learning tasks and assignments. This study engaged mixed method design, utilizing parallel convergent approach. The participants of the study were the elementary educations students from all year levels. There were 188 students who were randomly selected for quantitative and 14 for the qualitative: seven for in-depth interview and seven for focus group discussion which were purposively selected. Results revealed a high level of trust in ChatGPT's competence, reliability, and integrity, along with a strong intent among students to utilize it for various educational purposes. Actual usage encompassed tasks such as translation, creative writing, and academic discussions. The study underscores the positive perceptions and significant engagement with ChatGPT among students, indicating its potential as a valuable educational tool. By blending quantitative and qualitative methods, the research provides comprehensive insights into integration strategies, challenges, and recommendations, thereby enhancing the validity of its findings. Situated within the local context of Kapalong, Davao del Norte, the study offers actionable insights to improve teaching and learning, while also contributing to the global discourse on AI's role in education, enriching our understanding of its pedagogical implications.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 74%
Artificial Intelligence in Healthcare and Education
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