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Direct linkUnggi Lee; Ariel Han; Jeongjin Lee; Eunseo Lee; Jiwon Kim; Hyeoncheol Kim; Cheolil Lim – Education and Information Technologies, 2024
The rapid advancements in artificial intelligence (AI) have transformed various domains, including education. Generative AI models have garnered significant attention for their potential in educational settings, but image-generative AI models need to be more utilized. This study explores the potential of integrating generative AI, specifically…
Descriptors: Artificial Intelligence, Art Education, STEM Education, Learning Analytics
Okoye, Kingsley; Arrona-Palacios, Arturo; Camacho-Zuñiga, Claudia; Achem, Joaquín Alejandro Guerra; Escamilla, Jose; Hosseini, Samira – Education and Information Technologies, 2022
Recent trends in "educational technology" have led to emergence of methods such as teaching analytics (TA) in understanding and management of the teaching-learning processes. Didactically, "teaching analytics" is one of the promising and emerging methods within the Education domain that have proved to be useful, towards…
Descriptors: Learning Analytics, Student Evaluation of Teacher Performance, Information Retrieval, Educational Technology
Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
