Assessing Student Perceptions and Acceptance of AI-Driven Educational Tools in Quetta Balochistan

Abstract

The main objective of the study was to determine how students perceive the acceptance, utility, and use of AI-based tools in the education process. The growing use of artificial intelligence (AI) into pedagogical practices has provided new sources of adding value to instructional methods. Nevertheless, the tendency of the learners to accept and effectively engage with these technologies is a research question that is central. To fill this gap, this paper, therefore, attempted to offer a systematic review of the student attitude towards AI-enabled educational technologies. The study adopted a quantitative research design to achieve the study objectives. The target sample of the study included 400 students of the university, as a result of which a random sample of 200 students was selected through the process of random sampling. The data were collected using a self-constructed Likert-scale questionnaire that underwent both subject-matter validation and pilot test in order to determine the level of content validity.  Reliability of the instrument was also validated by introducing the right statistical indices hence internal consistency. The next statistical proceedings have been conducted with the help of SPSS by implementing both descriptive and inferential statistics to evaluate the perceptions of the students. The findings revealed that students tended to have positive intentions towards the acceptance, usefulness, and interest with the AI-driven tools. According to these findings, the opportunities and challenges of the creation of AI in educational practice of integration can be noted. In theory, the research fills a gap in available literature on the use of educational technologies, namely, into the framework of AI integration. In practice, the results justify practical information by educators, administrators, and policymakers to choose the strategies, which will allow successfully adopting and implementing the AI-driven tools.