Understanding the Study’s Focus
This research investigates the effectiveness of an AI course on students’ knowledge and attitudes towards technology. It includes reliability analysis of assessment tools, evaluations of knowledge gains, and insights from student interviews. The findings highlight significant improvements in students’ understanding of AI and their positive attitudes towards technology after completing the course.
Key Findings
- The AI knowledge self-assessment questionnaire showed strong reliability (Cronbach’s Alpha of 0.904).
- Statistically significant improvements were found in AI knowledge scores before and after the course (p < 0.001).
- Expert evaluations indicated high performance in creativity and technical aspects of student projects (p < 0.001).
- Students expressed a positive shift in their attitudes towards technology, recognizing its relevance in various careers.
Significance of the Results
These findings matter because they demonstrate the transformative potential of AI education. Students not only gained technical skills but also reflected on ethical considerations and future career implications. The course fostered a positive attitude towards technology, preparing students for a world increasingly influenced by AI. As students express a desire for further learning in AI, it highlights the importance of integrating technology education in curricula to equip future generations for the evolving job market.
