Meral, Meryem; Yalçin, Sema Altun

The purpose of this study was to evaluate how educational robotics applications integrated with collaborative learning and entrepreneurship affected the innovative thinking skills of middle school students. An explanatory-sequential mixed-method design was adopted for the study. The study involved 40 seventh graders studying at a small-sized middle school. The quantitative dimension of the study employed a single-group pretest-posttest design, while the qualitative dimension was conducted through semi-structured interviews. The Innovative Thinking Skills Scale was administered to the students in the study both before and after eight weeks of robotics training. The data obtained from the scales were analyzed using statistical methods. As a result of this analysis, it was concluded that the innovative thinking skills of the students increased significantly at a statistical level. Analysis of the interviews held with students after they underwent robotics training indicated a marked advancement in their innovative thinking skills.

Polat, Hamza; Topuz, Arif Cem; Yildiz, Mine; Taslibeyaz, Elif; Kursun, Engin

ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and contributing institutions. By employing bibliometric indicators and network analysis, the study explores collaboration patterns, citation trends, and the evolution of research interests. The findings show the exponential growth of interest in leveraging ChatGPT for educational purposes and provide insights into the specific educational domains and contexts that have garnered the most attention. Furthermore, the study reveals the collaborative dynamics and intellectual foundations shaping the field by examining co-authorship and citation networks. This bibliometric analysis contributes to a comprehensive understanding of the current state of ChatGPT research in education, offering researchers and practitioners valuable insights into evolving trends and potential future directions for this innovative aspect of AI and learning.