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Levy, Ben; Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat; Segal, Avi; Gal, Kobi – IEEE Transactions on Learning Technologies, 2023
This report describes a randomized controlled study that compared the personalization of educational content based on neural networks to personalization by human experts. The study was conducted in a graphically rich online learning environment for elementary school mathematics, in which N = 135 fourth- and sixth-grade students learn via…
Descriptors: Online Courses, Elementary School Students, Grade 4, Grade 6
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Muñoz-Cristóbal, Juan A.; Jorrín-Abellán, Iván M.; Asensio-Pérez, Juan I.; Martínez-Monés, Alejandra; Prieto, Luis P.; Dimitriadis, Yannis – IEEE Transactions on Learning Technologies, 2015
During the last decades, educational contexts have transformed into complex technological and social ecologies, with mobile devices expanding the scope of education beyond the traditional classroom, creating so-called Ubiquitous Learning Environments (ULEs). However, these new technological opportunities entail an additional burden for teachers,…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Education, Elementary School Teachers
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Rosen, Tal; Nussbaum, Miguel; Alario-Hoyos, Carlos; Readi, Francisca; Hernandez, Josefina – IEEE Transactions on Learning Technologies, 2014
Synchronous collaboration with large groups in a classroom requires coordination and communication mechanisms that allow students to contribute towards achieving a common goal. This paper presents an application based on an Interpersonal Computer with a shared display that promotes synchronous, non-verbal (silent) collaboration with large groups…
Descriptors: Large Group Instruction, Cooperative Learning, Synchronous Communication, Interaction
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Chen, Xin; Self, Jessica Zeitz; House, Leanna; Wenskovitch, John; Sun, Maoyuan; Wycoff, Nathan; Evia, Jane Robertson; Leman, Scotland; North, Chris – IEEE Transactions on Learning Technologies, 2018
With the rise of big data, it is becoming increasingly important to educate groups of students at many educational levels about data analytics. In particular, students without a strong mathematical background may have an unenthusiastic attitude towards high-dimensional data and find it challenging to understand relevant complex analytical methods,…
Descriptors: Data, Visualization, Multidimensional Scaling, Mathematics Instruction