The Contribution of the Use of Artificial Intelligence Tools in Developing Teaching, Learning and Evaluation Skills for Trained Students (Science and Languages) within the Clinical Training at Sakhnin College

Abstract

This study, conducted at Sakhnin Academic College for Teacher Education, investigates the contribution of Artificial Intelligence (AI) tools in developing teaching, learning, and evaluation skills among clinical counseling trainee students specializing in science and languages. As AI technologies increasingly penetrate educational contexts, their integration within clinical counseling frameworks represents both a promising innovation and a significant pedagogical challenge. The primary objective of the research was to evaluate how AI tools, such as adaptive learning platforms, AI-powered tutoring systems, automated assessment software, and data-driven analytics, enhance the pedagogical competencies of trainee teachers. The study employed a mixed-methods design combining both quantitative and qualitative approaches. The quantitative sample included 100 trainee teachers, while qualitative data were gathered through semi-structured interviews with 15-20 trainees and faculty members, as well as classroom observations using structured rubrics. Data were analyzed using descriptive statistics, inferential tests (t-tests, ANOVA, regression), and thematic qualitative analysis, supported by SPSS and NVivo software. The study population represented various academic years and reflected a predominantly female cohort, with trainees reporting varying levels of AI familiarity (ranging from excellent to average). The instruments included validated questionnaires measuring AI usage, perceptions of effectiveness, challenges, and recommendations for AI integration, along with thematic interview protocols exploring in-depth experiences.