Prototype of a Recommendation Model with Artificial Intelligence for Computational Thinking Improvement of Secondary Education Students

There is a growing interest in finding new ways to address the difficult task of introducing programming secondary students for first time improve students’ computational thinking (CT) skills. Therefore, extensive research required this field. Worldwide, have been developed: visual execution environments and approaches by text or are among most popular. This paper addresses complex using environment (VEE) introduce concepts that should be covered any introductory course. These include variables, input output, conditionals, loops, arrays, functions, files. study explores two achieve goal: (using Scratch) Java) CT. Additionally, it proposes an AI recommendation model into VEE further effectiveness developing CT education students. integrated combines capabilities learning system module personalized better at hand. To pursue task, experiment has carried out 23 preservice teachers’ universities, one Madrid, Spain, other Galway, Ireland. The overall results showed significant improvement Scratch group. However, when analyzing based on specific concepts, significance was observed only group, specifically Loop concept.