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Tak, Sangdong; Catsambis, Sophia – Education and Information Technologies, 2023
Using national longitudinal data of students during their 9th and 11th grades, we address popular concerns over screen time activities distracting students' academic pursuits. We examine gender differences in the types of screen time use, expecting the skill-based activity of video gaming to be more common among boys and the socially oriented…
Descriptors: Grade 9, Grade 11, High School Students, Gender Differences
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Namaziandost, Ehsan; Çakmak, Fidel – Education and Information Technologies, 2020
Emerging technologies and mobile devices have enabled improved quality of learning outcomes in the field of language learning. With the opportunities provided by innovative, emerging tools, traditional ways of learning have been enhanced. The flipped classroom is one of the innovative learning models that have appeared in language learning in the…
Descriptors: Educational Technology, Technology Uses in Education, Homework, English (Second Language)
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Aydogdu, Seyhmus – Education and Information Technologies, 2020
Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…
Descriptors: Prediction, Academic Achievement, Electronic Learning, Artificial Intelligence
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Pellas, Nikolaos – Education and Information Technologies, 2018
The educational potentials and challenges of "flipping" a classroom are today well-documented. However, taking into account the contradictory results, literature on the benefits in using the flipped model as a socially inclusive technology-supported instructional design model is still in its infancy. This study seeks to investigate the…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology