HomeAbstract of 9th-etconfArtificial Intelligence (ai) Learning Environment: the Affiliation of Student Commitment with Overall Outcome

Artificial Intelligence (ai) Learning Environment: the Affiliation of Student Commitment with Overall Outcome

  • May 13, 2026
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Abstract Book of the 9th World Conference on Education and Teaching

Year: 2026

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Artificial Intelligence (ai) Learning Environment: the Affiliation of Student Commitment with Overall Outcome

Dr. Anisa Subashi, Nazmi Xhomara

ABSTRACT:

The study aimed to investigate the impact of student commitment in overall outcome in the Artificial Intelligence (AI) learning environment. A quasi-treatment research design and a database of students’ academic achievements to get secondary data were used in the study. A random cluster sample of students from the bachelor’s degree program was taken. The study found that approximately 58.7% of the variance for the treatment group and 78.2% for the non-treatment group in overall outcome can be explained or accounted for by student commitment differences. At the same time, Robust Tests of Equality of Means (Welch) show that the p‐value for the treatment group is .000, and for the non-treatment group is .001, which means that the null hypothesis was easily rejected. This indicates that student commitment strongly influences the students’ overall outcome.

Keywords: Artificial Intelligence (Ai) Learning Environment, Student Commitment, Overall Outcome.