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Nour Eddine El Fezazi; Smaili El Miloud; Ilham Oumaira; Mohamed Daoudi – Educational Process: International Journal, 2025
Background/purpose: Mobile learning (M-learning) has become a crucial component of higher education due to the increasing demand for flexible and adaptive learning environments. However, ensuring personalized and effective M-learning experiences remains a challenge. This study aims to enhance M-learning effectiveness by introducing an AI-driven…
Descriptors: Electronic Learning, Learning Management Systems, Instructional Effectiveness, Artificial Intelligence
Cecilia Axell; Astrid Berg – International Journal of Technology and Design Education, 2024
Although digital technology is an important part of young people's lives, previous research implies that they have a limited understanding of what programming is and its connection to the digital devices they encounter every day. In order to create conditions for meaningful teaching in and about programming in technology education, more knowledge…
Descriptors: Elementary School Students, Programming, Computer Science Education, Grade 1
Ding-Chau Wang; Yong-Ming Huang – Interactive Learning Environments, 2024
Tiny and affordable computers (e.g. Raspberry Pi and Arduino) have been widely applied to technology-enhanced hands-on learning (THL). However, little scholarly attention has been devoted to the key factors behind students' performance in THL contexts. Therefore, this study not only helped the participants learn computer science through THL, but…
Descriptors: Handheld Devices, Self Efficacy, Educational Technology, Computer Science Education
Tóth, Tomás; Lovászová, Gabriela – Informatics in Education, 2021
In education, we have noticed a significant gap between the ability of students to program in an educational visual programming environment and the ability to write code in a professional programming environment. The aim of our research was to verify the methodology of transition from visual programming of mobile applications in MIT App Inventor 2…
Descriptors: Foreign Countries, Computer Science Education, Programming, Coding
Türkan Karakus Yilmaz; Zafer Yilmaz; Ömer Arpacik – Journal of Educational Computing Research, 2025
This study compares museum-related knowledge, museum learning experiences and cognitive load based on task types presented via a mobile application during a museum virtual tour. The study involved three experiments, each examining the effects of different task types. In the first experiment, tasks varied by difficulty (easy vs. difficult), in the…
Descriptors: Cognitive Ability, Museums, Computer Simulation, Information Technology
David Firth; Tyler Johnson; Shawn F. Clouse; Patricia Akello – Information Systems Education Journal, 2025
As smartphone ownership has steadily increased there has been a rise in individuals that display Problematic Smartphone Use (PSU). Through a comprehensive literature review of PSU it quickly became evident that research into PSU intervention strategies such as Cognitive Behavior Therapy (CBT) and Digital Detox are focused on "collectivist…
Descriptors: Computer Science Education, Social Media, Computer Software, Collectivism
Shih-Ting Chu; Chun-Chun Chang; Yun-Fang Tu – Educational Technology Research and Development, 2025
In higher education, concept mapping has been extensively adopted as an assessment and evaluation tool for conceptual knowledge. In recent years, an increasing number of researchers have applied concept mapping to teaching in technology-based environments. However, no research was found to holistically explore the role of concept maps in…
Descriptors: Concept Mapping, Technology Uses in Education, Higher Education, Educational Research
Fuentes, Pablo; Camarero, Cristobal; Herreros, David; Mateev, Vladimir; Vallejo, Fernando; Martinez, Carmen – IEEE Transactions on Learning Technologies, 2022
Understanding the architecture of a processor can be uninteresting and deterring for computer science students, since low-level details of computer architecture are often perceived to lack real-world impact. These courses typically have a strong practical component where students learn the fundamentals of the computer architecture and the handling…
Descriptors: Computer Science Education, Computer System Design, Programming Languages, Fatigue (Biology)
Jing Wang; Jasni Dolah – International Journal of Virtual and Personal Learning Environments, 2024
Cultural tourism provides rich opportunities for experiential learning, but a framework to foster such learning is lacking. This study introduces the "learning behaviors-interactive scenarios" framework to explore key facilitators of experiential learning in cultural tourism. Through a literature review, it outlines key learning…
Descriptors: Influences, Experiential Learning, Tourism, Cultural Awareness
Karaoglan Yilmaz, Fatma Gizem – Technology, Pedagogy and Education, 2022
The purpose of this study is to examine the effect of student satisfaction on students' engagement and motivation in a mobile-based flipped classroom. A total of 222 university students taking the Computing I course designed as a mobile-based flipped classroom were recruited. Data were collected through three self-report instruments: the…
Descriptors: Flipped Classroom, Learner Engagement, Student Motivation, Student Satisfaction
Damar Rais; Zhao Xuezhi – Journal on Mathematics Education, 2024
Python programming is widely employed in educational institutions worldwide. Within the "Merdeka Belajar" curriculum context, this programming is recognized as a suitable vehicle for mathematics instruction, significantly influencing students' motivation and learning outcomes, particularly following periods of educational hiatus. This…
Descriptors: Student Motivation, Learning Motivation, Programming Languages, Student Attitudes
Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications
Eric Schätz; Alke Martens – International Association for Development of the Information Society, 2023
Due the wideness of the term Physical Computing, there is a need for a better structure of this topic. This paper is about an approach of structuring this field by finding attributes of different physical computing devices which can be used in class. Those attributes are meant to enforce teachers as well as researchers to analyze different devices…
Descriptors: Computer Use, Handheld Devices, Telecommunications, Teaching Methods
Yadav, Alok Kumar; Oyelere, Solomon Sunday – Education and Information Technologies, 2021
This paper intends to present an overview of a mobile game-based learning application, BaghLearn that develops and upskills programming and algorithmic knowledge by cross-curricular capabilities through a traditional world-based game. The focus of this research was to explore the learning effectiveness of BaghLearn on students. Mixed method…
Descriptors: Foreign Countries, Undergraduate Students, Handheld Devices, Educational Games
Aimicheva, G.; Kopeyev, Zh.; Ordabayeva, Zh.; Tokzhigitova, N.; Akimova, S. – Education and Information Technologies, 2020
The article is devoted to the issues of teaching mobile application development and, as a consequence, training of highly qualified in-demand mobile developers. Nowadays, training professional mobile developers is a crucial task all over the world. The researchers emphasize the complexity of mobile application development associated with its…
Descriptors: Teaching Methods, Telecommunications, Handheld Devices, Undergraduate Students

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