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Showing 1 to 15 of 18 results Save | Export
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Xingle Ji; Lu Sun; Xueyong Xu; Xiaobing Lei – International Journal of Information and Communication Technology Education, 2024
This study examines the current research on educational data mining, educational learning support services, personalized learning services, and personalized learning paths in education. The authors aim to integrate personalized learning concepts into traditional support services by drawing on the latest theoretical and practical research. Using…
Descriptors: Information Retrieval, Data Analysis, Educational Research, Individualized Instruction
Ullrich, Carsten – International Association for Development of the Information Society, 2016
An ontology expresses a common understanding of a domain that serves as a basis of communication between people or systems, and enables knowledge sharing, reuse of domain knowledge, reasoning and thus problem solving. In Technology-Enhanced Learning, especially in Intelligent Tutoring Systems and Adaptive Learning Environments, ontologies serve as…
Descriptors: Workplace Learning, Manufacturing Industry, Industrial Training, Models
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Wook, Muslihah; Yusof, Zawiyah M.; Nazri, Mohd Zakree Ahmad – Education and Information Technologies, 2017
The acceptance of Educational Data Mining (EDM) technology is on the rise due to, its ability to extract new knowledge from large amounts of students' data. This knowledge is important for educational stakeholders, such as policy makers, educators, and students themselves to enhance efficiency and achievements. However, previous studies on EDM…
Descriptors: Educational Research, Information Retrieval, Data Analysis, Educational Technology
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Chung, Kon Shing Kenneth; Paredes, Walter Christian – Educational Technology & Society, 2015
In this study, we develop a theoretical model to investigate the association between social network properties, "content richness" (CR) in academic learning discourse, and performance. CR is the extent to which one contributes content that is meaningful, insightful and constructive to aid learning and by social network properties we…
Descriptors: Social Networks, Online Courses, Educational Technology, Electronic Learning
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – International Educational Data Mining Society, 2015
The field of EDM has focused more on modeling student knowledge than on investigating what sequences of different activity types achieve good learning outcomes. In this paper we consider three activity types, targeting sense-making, induction and refinement, and fluency building. We investigate what mix of the three types might be most effective…
Descriptors: Information Retrieval, Data Analysis, Learning Activities, Grade 4
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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Raghuveer, V. R.; Tripathy, B. K. – Interdisciplinary Journal of E-Learning and Learning Objects, 2012
With the advancements in the WWW and ICT, the e-learning domain has developed very fast. Even many educational institutions these days have shifted their focus towards the e-learning and mobile learning environments. However, from the quality of learning point of view, which is measured in terms of "active learning" taking place, the…
Descriptors: Educational Technology, Technology Uses in Education, Resource Units, Active Learning
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Liang, Hai-Ning; Sedig, Kamran – Interactive Learning Environments, 2009
Interactive learning environments (ILEs) are increasingly used to support and enhance instruction and learning experiences. ILEs maintain and display information, allowing learners to interact with this information. One important method of interacting with information is navigation. Often, learners are required to navigate through the information…
Descriptors: Computer Interfaces, Hypermedia, Models, Evaluation Methods
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Kassahun, Ayalew; Beulens, Adrie; Hartog, Rob – Educational Technology & Society, 2006
Two major trends in eLearning are the shift from presentational towards activating learning objects and the shift from proprietary towards SCORM conformant delivery systems. In a large program on the design, development and use of digital learning material for food and biotechnology in higher education, a large amount of experience has been gained…
Descriptors: Educational Trends, Electronic Learning, Management Systems, Resource Units
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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Christensen, Dean L.; Tennyson, Robert D. – Computers in Human Behavior, 1988
Discussion of educational technology and its impact on instructional methodology and the learning process focuses on six basic educational components necessary to trace technology variables directly to specific learning processes. Highlights include learning objectives; knowledge bases; instructional strategies; computer-based enhancements; and…
Descriptors: Behavioral Objectives, Cognitive Processes, Computer Assisted Instruction, Educational Technology
Gilbert, Juan E.; Han, C. Y. – 1999
This paper describes Arthur, a World Wide Web-based instruction system that provides adaptive instruction to accommodate learning style in order to achieve a significant difference when technology is applied to instruction. The design of Arthur is discussed, including considerations related to the learning experience, adapting instruction, and…
Descriptors: Cognitive Style, Computer System Design, Educational Environment, Educational Technology
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Chang, Chih-Kai; Chen, Gwo-Dong; Ou, Kou-Liang – Journal of Educational Computing Research, 1998
Proposes a Web-based model as the infrastructure to store learning logs for analysis in distance education. Describes the method of using query language to retrieve information from a database to construct the data cube. Illustrates data-cube implementation with a group-discussion example. Shows how data-cube technology can solve the recording and…
Descriptors: Computer Mediated Communication, Computer Uses in Education, Databases, Distance Education
Paeschke, Phyllis A. – 1976
The paper examines in depth administrative and instructional uses of the computer in adult education. The author demonstrates: (1) positive findings related to the feasible use of the computer in data analyses and report writing for administrative purposes, and (2) preliminary, yet encouraging, findings in the area of computer managed instruction…
Descriptors: Adult Basic Education, Adult Education, Computer Assisted Instruction, Computer Managed Instruction
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