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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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Snyder, Catherine; Besozzi, David; Paska, Lawrence; Oppenlander, Jane – American Secondary Education, 2016
This action research case study evaluates the effectiveness of using "flipped" instruction in a secondary social studies classroom. The researchers used mixed methods data to determine if flipping the instruction in a social studies class through the use of screencasting increased student learning as measured by pre- and post-unit…
Descriptors: Mixed Methods Research, Technology Uses in Education, Educational Technology, Tutorial Programs
Walker, Kristen L.; Kiesler, Tina; Malone, Summer – Online Submission, 2016
This project involved the development of a comprehensive and educational social marketing communications plan designed to help educate middle-school-aged youth about information use and abuse online. We achieved our goal of enhancing digital information literacy while developing critical thinking and creative communication skills for…
Descriptors: Middle School Students, Privacy, Information Utilization, Internet
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection