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Miguel Ángel Escotet – Prospects, 2024
Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…
Descriptors: Futures (of Society), Artificial Intelligence, Technology Uses in Education, Higher Education
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Murat Polat; Ibrahim Hakan Karatas; Nurgün Varol – Leadership and Policy in Schools, 2025
The incorporation of artificial intelligence (AI) into educational management offers personalized learning, adaptive tutoring, and efficient resource management. However, ethical considerations such as fairness, transparency, accountability, and privacy are crucial. This paper reviews literature and conducts a bibliometric analysis on ethical AI…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Leadership
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Sánchez, Inmaculada Arnedillo, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the 14th International Conference on Mobile Learning 2018, which was organised by the International Association for Development of the Information Society, in Lisbon, Portugal, April 14-16, 2018. The Mobile Learning 2018 Conference seeks to provide a forum for the presentation and discussion of mobile…
Descriptors: Electronic Learning, Educational Research, Data Collection, Data Analysis
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Blake, M. Brian; Butcher-Green, Jerome D. – Computers & Education, 2009
Training individuals from diverse backgrounds and in changing environments requires customized training approaches that align with the individual learning styles and ever-evolving organizational needs. Scaffolding is a well-established instructional approach that facilitates learning by incrementally removing training aids as the learner…
Descriptors: Familiarity, Adult Learning, Simulated Environment, Trainees
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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
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Ong, James – Performance Improvement, 2007
Practice and experience, whether simulated or on the job, are not enough to ensure effective learning. Learners must be able to make sense of those experiences to identify poor decisions and actions, missing knowledge, and weak skills that deserve attention. Using instructors to provide one-on-one instruction is effective but also expensive. This…
Descriptors: Play, Student Evaluation, Performance Based Assessment, Performance Tests
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Karampiperis, Pythagoras; Sampson, Demetrios – Educational Technology & Society, 2005
Adaptive learning resources selection and sequencing is recognized as among the most interesting research questions in adaptive educational hypermedia systems (AEHS). In order to adaptively select and sequence learning resources in AEHS, the definition of adaptation rules contained in the Adaptation Model, is required. Although, some efforts have…
Descriptors: Methods, Educational Resources, Models, Individualized Instruction