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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
Kerimbayev, Nurassyl; Umirzakova, Zhanat; Shadiev, Rustam; Jotsov, Vladimir – Smart Learning Environments, 2023
A literature review was conducted to develop a clear understanding of the student-centered approach using modern technologies in distance learning. The study aimed to address four research questions: What research experience already exists in the field of the student-centered approach in distance learning? What modern technologies are used in…
Descriptors: Student Centered Learning, Technology Uses in Education, Distance Education, Electronic Learning
Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Smart Learning Environments, 2022
Personalized learning systems use several components in order to create courses adapted to the learners'characteristics. Current emphasis on the reduction of costs of development of new resources has motivated the reuse of the e-learning personalization components in the creation of new components. Several systems have been proposed in the…
Descriptors: Individualized Instruction, Technology Uses in Education, Electronic Learning, Mathematics
Masoumeh Bagheri-Nesami; Mahsa Kamali; Amirabbas Mollaei – Smart Learning Environments, 2025
Nurses acknowledge that their understanding of the shortcomings in the utilization of medical devices stems from insufficient knowledge about their correct usage. The use of Quick Response (QR) technology has paved a new gateway for accessing information and resources. The available evidence confirmed the usefulness of QR codes for use in clinical…
Descriptors: Medical Services, Handheld Devices, Knowledge Level, Clinical Experience
Khadri, Hanaa Ouda – Smart Learning Environments, 2021
There is a growing interest in employing telepresence robots in different educational contexts due to their great potentials to enhance and improve educational experiences for remote learners. However, there is little use of telepresence robots in virtual transnational education contexts in developing countries. There is a lack of knowledge about…
Descriptors: College Faculty, Teacher Education, Technology Uses in Education, Robotics
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
Portugal, David; Faria, José N.; Belk, Marios; Martins, Pedro; Constantinides, Argyris; Pietron, Anna; Pitsillides, Andreas; Avouris, Nikolaos; Fidas, Christos A. – Smart Learning Environments, 2023
The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity management. Traditional online frameworks cannot guarantee the authenticity of the enrolled student, which…
Descriptors: Identification, Distance Education, College Students, COVID-19
Malakul, Sivakorn; Park, Innwoo – Smart Learning Environments, 2023
While subtitles are considered a primary learning support tool for people who cannot understand video narration in foreign languages, recent advancements in artificial intelligence (AI) technologies have played a pivotal role in automatic subtitling on online video platforms such as YouTube. This study examines the effects of three different types…
Descriptors: Captions, Automation, Video Technology, Secondary School Students
García-Tudela, Pedro Antonio; Prendes-Espinosa, Paz; Solano-Fernández, Isabel María – Smart Learning Environments, 2021
This paper is basic research focused on the analysis of scientific advances related to Smart Learning Environments (SLE). Our main objective is to single out the common aspects to propose a new definition which will constitute the starting point to design an innovative model which we can apply to the analysis of real cases and good practices. For…
Descriptors: Electronic Learning, Educational Technology, Human Factors Engineering, Learning Analytics
Shah, Sayed Kifayat; Tang, Zhongjun; Sharif, Sayed Muhammad Fawad; Tanveer, Arifa – Smart Learning Environments, 2021
The social distancing due to the COVID-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may…
Descriptors: Student Behavior, Intention, Adoption (Ideas), Technology Integration
Luo, Yan; Du, Huan – Smart Learning Environments, 2022
With advantages such as ease of use and low cost, desktop virtual reality (VR) technologies are increasingly being used in practical learning. This study aims to clarify the relationship among students' self-efficacy, goal orientation, technology acceptance [e.g., perceived usefulness (PU) and perceived ease of use (PEOU)] and learning behavior,…
Descriptors: Electronic Learning, Computer Simulation, Self Efficacy, Goal Orientation
Utamachant, Piriya; Anutariya, Chutiporn; Pongnumkul, Suporn – Smart Learning Environments, 2023
Apart from good instructional design and delivery, effective intervention is another key to strengthen student academic performance. However, intervention has been recognized as a great challenge. Most instructors struggle to identify at-risk students, determine a proper intervention approach, trace and evaluate whether the intervention works.…
Descriptors: Intervention, Learning Analytics, Learning Management Systems, Programming
Purificación Alcaide-Pulido; Belén Gutiérrez-Villar; Eva Ordóñez-Olmedo; Marta Pérez-Escolar – Smart Learning Environments, 2025
In recent years, educators have encountered significant shifts in teaching methodologies driven by rapid technological advancements and evolving demands in higher education. This transition has prompted adaptations in teaching practices and digital approaches, resulting in a broader paradigm shift across institutions. This study explores faculty…
Descriptors: Foreign Countries, College Faculty, Technological Advancement, Blended Learning
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
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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