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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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Ningsih, Tutuk; Yuwono, Dwi Margo; Sholehuddin, M. Sugeng; Suharto, Abdul Wachid Bambang – Journal of Social Studies Education Research, 2021
Learning at home not only provides written assignments that are changed in electronic form but must also reflect student learning outcomes at home. Likewise, researchers use literary reading to avoid students getting bored with learning Indonesian language literacy and character education. However, improving literacy skills is not just reading…
Descriptors: Indonesian, Computer Assisted Testing, Fiction, Literacy
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DeLiema, David; Enyedy, Noel; Steen, Francis; Danish, Joshua A. – Cognition and Instruction, 2021
Gesture is recognized as part of and integral to cognition. The value of gesture for learning is contingent on how it gathers meaning against the ground of other relevant resources in the setting--in short, how the body is laminated onto the surrounding environment. With a focus on lamination, this paper formulates an integrated theory of…
Descriptors: Nonverbal Communication, Human Body, Schemata (Cognition), Spatial Ability
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Sharma, Manjula Devi; Bewes, James – Journal of Learning Design, 2011
Metacognition is the higher-order monitoring that deals with a person's regulation of thought processes and governs learning strategies and understanding in an instructional setting. The ability to appraise and judge the quality of one's own cognitive work in the course of doing it is self-monitoring. If the work needs to be done within a short…
Descriptors: Models, Academic Achievement, Learning Strategies, Self Esteem
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Panjaburee, Patcharin; Hwang, Gwo-Jen; Triampo, Wannapong; Shih, Bo-Ying – Computers & Education, 2010
With the popularization of computer and communication technologies, researchers have attempted to develop computer-assisted testing and diagnostic systems to help students improve their learning performance on the Internet. In developing a diagnostic system for detecting students' learning problems, it is difficult for individual teachers to…
Descriptors: Learning Problems, Test Items, Testing, Teaching Methods
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Ghilay, Yaron; Ghilay, Ruth – Journal of Educational Technology, 2013
The study examined a new asynchronous model for online teaching, learning and assessment, called OTLA. It is designed for higher-education institutions and is based on LMS (Learning Management System) as well as other relevant IT tools. The new model includes six digital basic components: text, hypertext, text reading, lectures (voice/video),…
Descriptors: Integrated Learning Systems, Higher Education, Online Courses, Electronic Learning
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Tucker, Bill – Educational Leadership, 2009
New technology-enabled assessments offer the potential to understand more than just whether a student answered a test question right or wrong. Using multiple forms of media that enable both visual and graphical representations, these assessments present complex, multistep problems for students to solve and collect detailed information about an…
Descriptors: Research and Development, Problem Solving, Student Characteristics, Information Technology
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Nowinski, Wieslaw L.; Thirunavuukarasuu, Arumugam; Ananthasubramaniam, Anand; Chua, Beng Choon; Qian, Guoyu; Nowinska, Natalia G.; Marchenko, Yevgen; Volkau, Ihar – Anatomical Sciences Education, 2009
Preparation of tests and student's assessment by the instructor are time consuming. We address these two tasks in neuroanatomy education by employing a digital media application with a three-dimensional (3D), interactive, fully segmented, and labeled brain atlas. The anatomical and vascular models in the atlas are linked to "Terminologia…
Descriptors: Student Evaluation, Atlases, Brain, Handheld Devices
Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018
This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…
Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education
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Chu, Hui-Chun; Hwang, Gwo-Jen; Huang, Yueh-Min – Innovations in Education and Teaching International, 2010
Conventional testing systems usually give students a score as their test result, but do not show them how to improve their learning performance. Researchers have indicated that students would benefit more if individual learning guidance could be provided. However, most of the existing learning diagnosis models ignore the fact that one concept…
Descriptors: Test Results, Teaching Methods, Elementary School Students, Elementary School Teachers
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
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