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Albena Nakova; Emilia Chengelova; Valentina Milenkova – International Association for Development of the Information Society, 2024
This article focuses on the work of teachers in the conditions of mobile learning, since teachers perform various activities related to preparation of classes, training and students' assessment in digital learning environment. The analysis emphasizes the fact that the responsibilities of modern teachers are becoming more complicated, following the…
Descriptors: Handheld Devices, Telecommunications, Teaching Methods, Educational Environment
Daniel Laumann; Maurice Krause; Fabienne E. Kremer; Barbara Leibrock; Malte S. Ubben; Boris Forthmann; Robin Janzik; Dörthe Masemann; Felix Reer; Cornelia Denz; Gilbert Greefrath; Susanne Heinicke; Annette Marohn; Thorsten Quandt; Elmar Souvignier; Stefan Heusler – Education and Information Technologies, 2025
In recent years, the importance of mobile devices has increased for education in general and more specifically for science and mathematics education. In the classroom, approaches for teaching with mobile devices include using student-owned devices ("bring your own device"; BYOD approach) or using school-owned devices from central pools…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Handheld Devices
Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
Rastislav Metruk – Education and Information Technologies, 2024
In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…
Descriptors: Pronunciation Instruction, Teaching Methods, Telecommunications, Handheld Devices
Victor K. Y. Chan – International Association for Development of the Information Society, 2024
This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Usability
Li Liu; Shaidatul Akma Adi Kasuma; Salasiah Che Lah – International Journal of Virtual and Personal Learning Environments, 2023
The COVID-19 pandemic has accelerated the adoption of online education, including mobile-assisted language learning (MALL). Extensive research has examined various aspects of MALL; there remains a gap in understanding the preferred mobile resources that promote lifelong learning ability, particularly in relation to gender differences. This study…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Undergraduate Students
Abdelazim, Aaser M.; Gaber, Dalia A.; Adam, Khalid M.; El-Ashkar, Ayman M.; Abdelmalak, Hany W. – Biochemistry and Molecular Biology Education, 2023
Background: Traditional teaching methods of biochemistry provide effective tools for knowledge transmission, but are considered less engaging with students. Smartphone applications may provide suitable alternatives to compensate for the shortcomings of traditional teaching methods. Purpose: This study aimed to assess the effectiveness of…
Descriptors: Telecommunications, Handheld Devices, Medical Education, Student Attitudes
Xing Wang; Zuwati Hasim – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study analysed 498 articles published between 2005 and 2023 on Self-regulated Language Learning (SRLL) indexed in the core collection of the Web of Science database, using a bibliometric methodology based on scientific mapping, co-occurrence and burstness analysis. Results show China is the most influential contributor to SRLL research, with…
Descriptors: Bibliometrics, Second Language Learning, Teaching Methods, Metacognition
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
Kun Dou; Huzaina Abdul Halim; Mohd Rashid Mohd Saad – European Journal of Education, 2025
Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Teaching Methods
Ouyang, Ming – Education and Information Technologies, 2023
This study sought to evaluate the effectiveness of introducing digital software in music education to improve academic performance and solfeggio class attendance. To assess academic performance, a test consisting of 25 theoretical questions and 25 practical tasks was developed. The Bologna model was used as an assessment system. The groups were…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Music Education
Julia Milner; Sharleen L. O'Reilly – Innovations in Education and Teaching International, 2025
We explored the usage of smartphones in university classrooms across three different countries from the instructor's perspective. Using a qualitative, cross-cultural approach, we interviewed 30 instructors via semi-structured interviews to understand their viewpoints and experience with student smartphone usage in class. Instructors reported…
Descriptors: Teacher Attitudes, Critical Thinking, Telecommunications, Handheld Devices
Adnan Shehadeh – Anatolian Journal of Education, 2024
This study aimed to investigate students' reflections on using smartphones to enhance vocabulary learning. The sample consisted of 64 college students enrolled in required English as a Foreign Language (EFL) reading course. A twenty-two-item questionnaire was developed to elicit students' reflections on their experiences in terms of three aspects;…
Descriptors: Telecommunications, Handheld Devices, English (Second Language), Second Language Instruction
Wahyu Dilla Abdullah; Adilah Afikah; Ezi Apino; Supahar Supahar; Jumadi Jumadi – Journal of Baltic Science Education, 2024
The use of mobile technology in physics education has become more prevalent, but more data about its effect on student academic performance needs to be collected. This meta-analysis examines the effects of mobile learning on student achievement in physics and any moderating factors. The study collected 36 primary studies from various scientific…
Descriptors: Meta Analysis, Science Education, Science Achievement, Physics
Made Aryawan Adijaya; I. Ketut Armawan; Maria Goreti Rini Kristiantari – International Journal of Language Education, 2023
Learning activities need to facilitate vocational students in learning independently. It certainly has an impact on students' low understanding and skills. This research aims to develop Mobile-Assisted Language Learning (MALL) for Vocational Education. This type of research is development research. The development model used is the ADDIE model.…
Descriptors: Vocational Education, Computer Assisted Instruction, Telecommunications, Handheld Devices