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Direct linkDmitrij Zatuchin – Discover Education, 2024
This study investigates the application of the SECI model of knowledge dimensions in the design and execution of educational courses in "Innovation and Digitization Management" and "Data-Based Decision Making" microdegrees, developed within the rapidly evolving educational landscape of 2023 and 2024. The research incorporates a…
Descriptors: Microcredentials, Course Content, Pattern Recognition, Correlation
Poitras, Eric; Butcher, Kirsten R.; Orr, Matthew; Hudson, Michelle A.; Larson, Madlyn – Interactive Learning Environments, 2022
This study mined student interactions with visual representations as a means to automate assessment of learning in a complex, inquiry-based learning environment. Log trace data of 143 middle school students' interactions with an interactive map in Research Quest (an inquiry-based, online learning environment) were analyzed. Students used the…
Descriptors: Middle School Students, Electronic Learning, Maps, Science Instruction
Download full textCerón-Figueroa, Sergio; López-Yáñez, Itzamá; Villuendas-Rey, Yenny; Camacho-Nieto, Oscar; Aldape-Pérez, Mario; Yáñez-Márquez, Cornelio – International Review of Research in Open and Distributed Learning, 2017
The present work describes an original associative model of pattern classification and its application to align different ontologies containing Learning Objects (LOs), which are in turn related to Open and Distance Learning (ODL) educative content. The problem of aligning ontologies is known as Ontology Matching Problem (OMP), whose solution is…
Descriptors: Open Education, Distance Education, Classification, Metadata
Nallure Balasubramanian, Vineeth – ProQuest LLC, 2010
The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. Machine learning…
Descriptors: World Problems, Intelligence, Lifelong Learning, Prediction
Jones, Kenneth D., II. – ProQuest LLC, 2010
The primary purpose of this study is to determine how students are impacted by the use of Classroom Response System (CRS) technology. This research explores the nature of the outcomes experienced by students and their perceptions on the leading pedagogy and practices for using CRS technology in the classroom. The research is both quantitative and…
Descriptors: Quasiexperimental Design, Personality, Information Systems, Educational Technology
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
