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Saja Wardat; Mohammed Akour – Smart Learning Environments, 2024
This research explores the key motivating factors that influence student engagement with wearable technology (WT) in teaching English to speakers of other languages (TESOL) education. The study employs a novel, integrated framework that merges elements from the established technology acceptance model (TAM), Flow Theory, and additional factors…
Descriptors: Technology Uses in Education, English (Second Language), Second Language Instruction, Educational Technology
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Segbenya, Moses; Bervell, Brandford; Minadzi, Vincent Mensah; Somuah, Beatrice Asante – Smart Learning Environments, 2022
This study examined perspectives of distance education students on online learning based on their access gadgets (availability and functionality), online presentation or teaching methods, actual use of online learning coupled with its challenges. A quantitative approach and descriptive survey design were adopted for the study. A sample of 1061 was…
Descriptors: Distance Education, Online Courses, COVID-19, Pandemics
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Maria Efstratopoulou; Maxwell Peprah Opoku; Aizhan Shomotova; Christina Davison; Abdulrafi Jaffarul; Aalya Mesmar – Smart Learning Environments, 2024
A smart learning environment (SLE) encompasses the use of advanced technology and smart pedagogical teaching skills tailored to suit students with diverse learning needs. In recent years, some countries, such as the United Arab Emirates (UAE), have formulated policies to implement SLE in their education systems. Since students are the intended…
Descriptors: Foreign Countries, Secondary School Students, Grade 7, Grade 12
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Branko Andic; Mirjana Maricic; Filiz Mumcu; Theodosia Prodromou; Janika Leoste; Musa Saimon; Zsolt Lavicza – Smart Learning Environments, 2024
Educational Robotics (ER) has emerged as one of the tools to improve STEM learning in primary education if students are properly instructed. However, there is a lack of studies that guide teachers on which type of instruction should be used for ER in STEM between direct (DI) and indirect instruction (II). As a result, the present study aims to…
Descriptors: Direct Instruction, Educational Technology, Robotics, Task Analysis
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Elvira G. Rincon-Flores; Leticia Castano; Sadie Lissette Guerrero Solis; Omar Olmos Lopez; Carlos Felipe Rodríguez Hernández; Laura Angélica Castillo Lara; Laura Patricia Aldape Valdés – Smart Learning Environments, 2024
Much has been written about Adaptive Learning, but does its implementation alone guarantee success? We have found that integrating an Adaptive Learning Strategy with diverse didactic techniques gives better results. The objectives of this exploratory study were to know the impact of the Adaptive Learning Strategy on students' learning and…
Descriptors: Learning Strategies, Academic Achievement, Computation, Thinking Skills
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Ma, Boxuan; Lu, Min; Taniguchi, Yuta; Konomi, Shin'ichi – Smart Learning Environments, 2021
Recommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. However, although many studies on the course recommendation…
Descriptors: College Students, Course Selection (Students), Decision Making, Student Attitudes
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Michal Vorlicek; David Prycl; Josef Heidler; Manuel Herrador-Colmenero; Jitka Nabelkova; Josef Mitas; Erica Hinckson; Sandra Mandic; Karel Frömel – Smart Learning Environments, 2024
This study addresses the issue of insufficient physical activity (PA) among youths. The emergence of gamified interventions, such as Gamifiter web portal, offers a novel approach to promoting healthy habits and increasing intrinsic motivation for PA. Gamifiter engages users in virtual challenges linked to daily step counts and progress on a…
Descriptors: Parents, Middle School Students, Grade 7, Foreign Countries
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Sage, Kara; Jackson, Sophia; Fox, Emily; Mauer, Larissa – Smart Learning Environments, 2021
The COVID-19 pandemic caused many colleges to quickly shift to virtual learning, leading students to rely on technology to complete coursework while also experiencing new situations and stressors. The present study explored students' technology use in their online course in conjunction with several student outcomes and individual difference…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses