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Competency Levels and Influential Factors of College Students' Mobile Learning Readiness in Thailand
Diteeyont, Watsatree; Heng-Yu, Ku – Smart Learning Environments, 2023
One of the key successes of learning through mobile technology comes from the competencies of learners. This study aimed to investigate the overall competency levels of mobile learning readiness and four influential factors (connectivist learners, technology readiness, self-directed learning, and netiquette) that may impact college students'…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Readiness
John Kwame Eduafo Edumadze; Desmond Welsey Govender – Smart Learning Environments, 2024
While massive open online courses (MOOCs) promise to democratise access to education, the literature reveals a nuanced understanding of engagement in these settings, especially in resource-constrained environments. Blended MOOCs combine MOOCs and physical classroom settings of contents and instructions. This study extends this discourse by…
Descriptors: MOOCs, Educational Technology, In Person Learning, Blended Learning
Meccawy, Maram – Smart Learning Environments, 2023
Recent international empirical studies have demonstrated positive results when applying extended reality (XR) technologies such as augmented reality, virtual reality, or mixed reality in teaching and learning. Thus, the preconditions and challenges of use must be investigated from teachers' perspectives prior to implementing these technologies in…
Descriptors: Computer Simulation, Simulated Environment, Technology Integration, Teacher Attitudes
Ahmady, Soleiman; Kohan, Noushin; Mirmoghtadaie, Zohreh Sadat; Hamidi, Hadi; Sabet Divshali, Babak; Rakhshani, Tayebeh; Khani Jeihooni, Ali – Smart Learning Environments, 2023
Background: Today, methods that enable students to benefit from online programs to the fullest and learn independently and self-directed are of critical importance. Many scales have been developed to measure self-directed learning in the physical classroom. This study was conducted to design and assess the psychometric properties of an instrument…
Descriptors: Test Construction, Psychometrics, Educational Technology, Test Validity
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
Hassane Benlaghrissi; L. Meriem Ouahidi – Smart Learning Environments, 2024
Combining mobile-assisted language learning (MALL) with project-based learning (PBL) might be the potential framework for enhancing EFL learners' speaking skills. However, only a few studies have scrutinised the impact of modern technologies on project work. More importantly, investigating how MALL, as a new field within ICT with unique…
Descriptors: Computer Assisted Instruction, Telecommunications, Handheld Devices, Second Language Learning
Gamze Emir; Gonca Yangin-Eksi – Smart Learning Environments, 2024
This study systematically reviews telecollaboration studies conducted between 2013 and 2023 in English language teacher education. This review scrutinized telecollaboration studies conducted in English language teacher education regarding their research focal points, study contexts, and the technological tools employed. The study also aimed to…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Teacher Education
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
Ojetunde, Segun Michael; Ramnarain, Umesh – Smart Learning Environments, 2023
Education, technology, and economic growth are not only linked but synchronised to achieve holistic global development. An instance is the adoption of online platforms for learning and promoting economic activities during the COVID-19 pandemic lockdown. However, the lingering question among education stakeholders in Nigeria borders on what…
Descriptors: Students, Student Experience, Educational Technology, Science Instruction
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
Nja, Cecilia Obi; Idiege, Kimson Joseph; Uwe, Uduak Edet; Meremikwu, Anne Ndidi; Ekon, Esther Etop; Erim, Costly Manyo; Ukah, Julius Ukah; Eyo, Eneyo Okon; Anari, Mary Ideba; Cornelius-Ukpepi, Bernedette Umalili – Smart Learning Environments, 2023
This study investigated the factors influencing science teachers' 'Artificial Intelligence' (AI) utilization by using the 'Technology Acceptance Model' (TAM). The factors investigated alongside TAM variables were teachers' data like; age, sex, and residence type. TAM items that were correlated in this study included; self-esteem, stress and…
Descriptors: Science Teachers, Educational Technology, Technology Integration, Artificial Intelligence
Yang, Dong; Wang, Huanhuan; Metwally, Ahmed Hosny Saleh; Huang, Ronghuai – Smart Learning Environments, 2023
Research on student engagement has recently gained popularity as it can address problems such as early dropout and poor achievement. The growing interest in investigating student engagement during the COVID-19 pandemic is reflected in increased publications addressing this topic. However, no review provided research evidence and an overview of…
Descriptors: Students, Foreign Countries, COVID-19, Pandemics
Alvi, Irum – Smart Learning Environments, 2021
The term Social Networking Tools is used for social media applications accessible via mobile devices/smartphones; their use has become ubiquitous among college students, especially after the COVID 19 Pandemic, due to which the institutes of Higher education were shut down. A research gap was identified as the students' acceptance of these learning…
Descriptors: Foreign Countries, Social Media, Telecommunications, Handheld Devices
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