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Gary K. W. Wong – Education and Information Technologies, 2024
As block-based visual programming platform such as Scratch become more accessible and supportive to children's programming learning, the demand on understanding a trajectory of children's computational thinking development through programming from their early ages increases rapidly in recent years. To explore the developmental process of…
Descriptors: Computation, Problem Solving, Skill Development, Programming
Ceylan, Veysel Karani; Kesici, Ayse Elitok – Online Submission, 2017
In this study, the effects of blended learning on the middle school students' academic achievement level and product evaluation scores were investigated. Blended learning provides more effective learning outcome gains through enriching todays' developing Web Technologies with learning environments. This study was carried out with a total of 53…
Descriptors: Blended Learning, Middle School Students, Academic Achievement, Teaching Methods
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2020
For the forty-third time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online during the annual AECT Convention. Volume 1 contains 37 papers dealing primarily with research and development topics. Papers dealing with the…
Descriptors: Educational Technology, Technology Uses in Education, Professional Development, Feminism
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