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Bimal Aklesh Kumar – Interactive Learning Environments, 2024
Mobile learning applications are being developed to support the teaching and learning process. The lack of an accepted methodology for developing these applications motivated the establishment of a design science research process for developing mobile learning applications. Design science methodology from the information systems domain was…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Design
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Xueli Liu; Xin Shao – Interactive Learning Environments, 2024
Individuals can learn the art of playing a musical instrument not only in the classroom but also remotely. The main purpose of the paper is to identify the possibilities of an educational online piano course for Chinese students. In the work, it was determined which of the online applications are the most popular in the world for learning. The…
Descriptors: Electronic Learning, Music Education, Foreign Countries, Computer Oriented Programs
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Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
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Aadi Swadipto Mondal; Yuang Zhu; Kaushal Kumar Bhagat; Nasser Giacaman – Interactive Learning Environments, 2024
The aim of this study is to investigate the public opinion (i.e., the learners themselves) of apps incorporating emerging technologies Augmented Reality (AR) and Virtual Reality (VR) and find out how satisfied mobile platform users are with these technologies for educational purposes. We performed sentiment analysis of more than one million…
Descriptors: Educational Technology, Technology Uses in Education, Computer Oriented Programs, Computer Simulation
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Olga Agatova; Alexander Popov; Suad Abdalkareem Alwaely – Interactive Learning Environments, 2024
The paper examines the special aspects of using Big Data technology in education. The population was made up of 356 third-year university students. To study Big Data technology, a questionnaire was used where respondents rated: cloud technology; apps; Massive Open Online Courses (MOOCs) and digital learning platforms. The study suggested that the…
Descriptors: Data Use, Learning Processes, Technology Uses in Education, Information Storage
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Nidal Al Said; Lubov Vorona-Slivinskaya; Elena Gorozhanina – Interactive Learning Environments, 2024
The paper delves into social media mining in the context of medical education programs in the information age. It explores the adaptability of Social Media Analytics (SMA) apps within the structure of online courses in medicine and proposes a conceptual framework for a learning process. This process includes practical exercises based on search and…
Descriptors: Social Media, Medical Education, Computer Oriented Programs, Online Courses
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Chun-Chun Chang; Gwo-Jen Hwang; Yun-Fang Tu; Chiu-Lin Lai; Biyun Huang – Interactive Learning Environments, 2024
In recent years, smart healthcare technologies used to facilitate precision medicine in clinical practice have increasingly become a topic of discussion. Nurses and nurse preceptors are critical professionals in hospitals, and are also the frontline staff using smart healthcare. The purpose of this study was to investigate nurses' and nurse…
Descriptors: Foreign Countries, Nurses, Practicum Supervision, Professional Personnel
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Hüseyin Ates; Rabia Meryem Yilmaz – Interactive Learning Environments, 2024
This study was conducted to understand pre-service and in-service teachers' intentions to use mobile-based assessment in classes by integrating theory of planned behaviour, technology acceptance model, and self-determination theory into one conceptual framework. Data were analysed using the structural equation model (SEM). Results of SEM from a…
Descriptors: Teacher Behavior, Intention, Handheld Devices, Telecommunications
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Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
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Benazir Quadir; Jie Chi Yang; Wei Wang – Interactive Learning Environments, 2024
Mobile technologies are widely used in education, both as standalone tools and in conjunction with other applications. The WeChat-based app Rain Classroom is one such application. Rain Classroom includes learning activities not only during class but also before and after class. Previous research has suggested strong demand for WeChat-based apps…
Descriptors: Handheld Devices, Educational Technology, Computer Oriented Programs, English (Second Language)
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Uun Hariyanti; Wu-Yuin Hwang; Rio Nurtantyana; Herman Dwi Surjono; Irma Nuur Rochmah; Anh Hoang; Muhammad Irfan Luthfi; Muhamad Trio Maulana Putra – Interactive Learning Environments, 2024
Authentic contextual learning (ACL) with mobile apps near home became prevalent and promising due to the COVID-19 pandemic since students were asked to learn near home without going to school. However, learning with mobile apps may cause problematic issues, such as anxiety and acceptance of either students or parents. This study aims to…
Descriptors: Anxiety, Telecommunications, Handheld Devices, Computer Oriented Programs
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Hanieh Shafiee Rad; Rasoul Alipour; Aliakbar Jafarpour – Interactive Learning Environments, 2024
Technology and artificial intelligence (AI) advancements are increasingly impacting second language (L2) learning, particularly in writing skills development. Motivated students seeking writing feedback can benefit from AI implementation, with writing feedback literacy being crucial for effective use. Engaged students with specific writing goals…
Descriptors: Artificial Intelligence, Writing (Composition), Feedback (Response), Literacy
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Li Xiangming; Xuening Li; Jingshun Zhang – Interactive Learning Environments, 2024
In this paper, we report a 12-week longitudinal study aiming at exploring the students' reading outcome and cognitive load with individual-based print, mobile app of Rain Classroom and collaboration-based social media of WeChat. Administered to 186 postgraduate students in a research university were the weekly reading materials and comprehension…
Descriptors: Outcomes of Education, Reading, Cognitive Processes, Difficulty Level
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Viktor Shurygin; Tatyana Anisimova; Raushan Orazbekova; Nikolay Pronkin – Interactive Learning Environments, 2024
Teachers are increasingly incorporating new learning materials into their classes: mobile apps, VR, and other results of humanity's digital development. The aim of the study was to compare the impact of the traditional approach to teaching mathematics and the use of MalMath application on the academic performance of students in terms of conceptual…
Descriptors: Mathematics Teachers, Preservice Teachers, Preservice Teacher Education, Mathematics Instruction
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Venus Chan – Interactive Learning Environments, 2024
This research aims to examine students' perceptions of the benefits and constraints of using Virtual Interpreting Practice (VIP), a mobile-based virtual reality application for bi-directional English/Chinese consecutive and sight interpreting learning that was developed within the project. Thirty-one Chinese university students participated in an…
Descriptors: Computer Simulation, Computer Oriented Programs, Handheld Devices, Telecommunications