THE ROLE OF ARTIFICIAL INTELLIGENCE USE MOTIVES IN PREDICTING STUDENTS' PROBLEM-SOLVING ABILITIES

The development of technology has given birth to artificial intelligence, commonly referred to as Artificial Intelligence (AI). Artificial Intelligence can be easily used by students, who are now predominantly Generation Z or Digital Natives, to assist them in solving everyday and academic problems. Human problem-solving is a skill that needs to be cultivated to prevent its erosion. Students who use Artificial Intelligence have different motives, some positive and some negative. The study will be conducted using predictive correlations involving 170 participants who are active students aged 18-25 years. The questionnaire will be created using two main instruments: the Questionnaire of AI Use Motive (QAIUM) developed by Eyup Yurt and Ismail Kasarci (2024) and The Problem Solving Inventory (Heppner and Petersen, 1982). Data analysis will be conducted using a single linear regression test in JASP. The results of this study are expected to be used to examine the role of motives for using Artificial Intelligence in predicting students' problem-solving abilities and can be used as a learning tool to find ways to use AI more wisely.