Enhancing Students' Computational Ability Using Multiple Intelligence: A Case Study with High School Computer Science Students

In the rapidly evolving landscape of education, the cultivation of computational skills and the enhancement of students' intellectual abilities remain of paramount importance. This research paper delves into the innovative approach of leveraging Multiple Intelligence (MI) theory to foster computational skills among high school students. The study specifically focuses on a group of 26 computer science high school students at N azarbayev Intellectual School in Shymkent, Kazakhstan. The research employs a comprehensive and structured methodology that integrates MI principles into the classroom environment. Over a designated timeframe, students participate in a variety of activities designed to engage and stimulate each of their unique intelligences. Language, mathematics, spatial perception, motor skills, music, personal, and intrapersonal communication intelligences are all encompassed in these pursuits., creating a holistic learning experience. Data collection encompasses a multitude of measures, including pre- and post-assessments, observations, and student feedback, to gauge demonstrate the significant improvement in students' computational abilities following the MI-enhanced curriculum. In particular, students displayed increased problem-solving skills, critical thinking, creativity, and adaptability when confronted with computational challenges. The conclusion of this study contribute significant analysis into the potential of MI theory to transform traditional computer science education. By providing a dynamic and inclusive learning environment that nurtures students' diverse intellectual strengths, educators can empower learners to excel in computational disciplines. This research paper encourages further exploration of MI- based strategies to enhance computational abilities and inspires a shift towards more personalized and inspires a shift towards more personalized and effective teaching methodologies.