This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…

This study aimed to summarize the evidence of the impact of school-based nutrition education programs that incorporate technology on the acquisition of nutrition-related knowledge and behavior change of adolescents. Literature searches were conducted using Cochrane Library, Pubmed, Scopus, Science Direct, and Web of Science databases. Studies…

Recent studies and reviews have shown the positive effects of exergames (EXs) on physical activity (PA) and fitness in children and adolescents. Nevertheless, their effects on cognition have been scarcely explored, and no previous review has focussed on this relationship. The purpose of the research reported on here was to analyse the acute and…

For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…