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Branko, Andic; Šorgo, Andrej; Helm, Christoph; Weinhandl, Robert; Lang, Vida – TechTrends: Linking Research and Practice to Improve Learning, 2023
Owing to its advantages such as producing durable models and easy accessibility, 3D modeling and printing (3DMP) has become increasingly popular in educational practice and research. However, the results of many studies have shown that the adoption rate of 3DMP among teachers is still low, especially in elementary schools. Therefore, research is…
Descriptors: Elementary School Teachers, Teacher Attitudes, Adoption (Ideas), Technology Uses in Education
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Junhong Xiao; Aras Bozkurt; Mark Nichols; Angelica Pazurek; Christian M. Stracke; John Y. H. Bai; Robert Farrow; Dónal Mulligan; Chrissi Nerantzi; Ramesh Chander Sharma; Lenandlar Singh; Isak Frumin; Andrew Swindell; Sarah Honeychurch; Melissa Bond; Jon Dron; Stephanie Moore; Jing Leng; Patricia J. Slagter van Tryon; Manuel Garcia; Evgeniy Terentev; Ahmed Tlili; Thomas K. F. Chiu; Charles B. Hodges; Petar Jandric; Alexander Sidorkin; Helen Crompton; Stefan Hrastinski; Apostolos Koutropoulos; Mutlu Cukurova; Peter Shea; Steven Watson; Kai Zhang; Kyungmee Lee; Eamon Costello; Mike Sharples; Anton Vorochkov; Bryan Alexander; Maha Bali; Robert L. Moore; Olaf Zawacki-Richter; Tutaleni Iita Asino; Henk Huijser; Chanjin Zheng; Sunagül Sani-Bozkurt; Josep M. Duart; Chryssa Themeli – TechTrends: Linking Research and Practice to Improve Learning, 2025
Advocates of AI in Education (AIEd) assert that the current generation of technologies, collectively dubbed artificial intelligence, including generative artificial intelligence (GenAI), promise results that can transform our conceptions of what education looks like. Therefore, it is imperative to investigate how educators perceive GenAI and its…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Trends, Trend Analysis
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de Mooij, Susanne M. M.; Raijmakers, Maartje E. J.; Dumontheil, Iroise; Kirkham, Natasha Z.; van de Maas, Han L. J. – Journal of Computer Assisted Learning, 2021
While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision-making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options.…
Descriptors: Error Patterns, Identification, Computer Peripherals, Computer Uses in Education