Students’ attitudes towards Learning Big Data, Analytics and AI algorithms: The
Abstract
Nowadays, Universities all over the world are studying students’ capability of learning analytics, Big Data applications and algorithms. Many researchers are studying students’ attitudes toward these subjects in order to foresee students’ preservation, capture students’ behaviors and enhance students learning by providing feedback and support. A sample of 165 Greek students participated in the study. The study used an instrument named SATBDAAIA (Students’ attitudes towards learning Big Data, analytics and AI algorithms), that is a five-point Likert scale. The scale consisted of six conceptual constructs named Difficulty, Cognitive Competence, Affective, Value and Motivation, Ethical issues. Greek Students’ attitudes towards Learning Big Data, Analytics and AI algorithms were evaluated by another item that rate from 1 to 100 scaling the total score. The results indicated that they have a positive direct effect on Total score related to Greek Students’ attitudes towards Learning Big Data, Analytics and AI algorithms. In addition, gender has not any significant role on shaping Greek students’ attitudes towards Learning Big Data, Analytics and AI algorithms.