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Aïcha Bakki; Lahcen Oubahssi; Youness Laghouaouta; Sébastien George – Interactive Learning Environments, 2024
Business Process Model and Notation (BPMN) is a standard formalism for business process modeling that is very popular in professional practices due to its expressiveness, the well-defined meta-model, and its easiness of use by non-technical users. For instance, BPMN2.0 is used for business processes in commercial areas such as banks, shops,…
Descriptors: MOOCs, Learning Management Systems, Business Education, Models
Rosmansyah, Yusep; Putro, Budi Laksono; Putri, Atina; Utomo, Nur Budi; Suhardi – Interactive Learning Environments, 2023
In this article, smart learning environment (SLE) is defined as a hybrid learning system that provides learners and other stakeholders with a joyful learning process while achieving learning outcomes as a result of the employed intelligent tools and techniques. From literature study, existing SLE models and frameworks are difficult to understand…
Descriptors: Electronic Learning, Artificial Intelligence, Educational Technology, Technology Uses in Education
Lin, Kuen-Yi; Lu, Shao-Chuan; Hsiao, Hsien-Hsien; Kao, Chia-Pin; Williams, P. John – Interactive Learning Environments, 2023
Over the past few years, digital fabrication has been utilized in technology laboratories to emphasize hands-on learning processes in technology and engineering education. Recent studies indicate that hands-on activities can help students connect with science, technology, engineering, and mathematics (STEM) disciplines and develop key skills…
Descriptors: STEM Education, Imagination, Vocational Interests, Repetition
Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
Radosavljevic, Vitomir; Radosavljevic, Slavica; Jelic, Gordana – Interactive Learning Environments, 2022
This paper introduces the smart classroom learning model based on the concept of ambient intelligence. By analyzing a smart classroom, the ambient intelligence system detects a student and determines their level of fatigue based on the data about their previous daily academic activities. This information is then used to assign the student the…
Descriptors: Virtual Classrooms, Educational Technology, Technology Uses in Education, Artificial Intelligence
Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
Chimalakonda, Sridhar; Nori, Kesav V. – Interactive Learning Environments, 2023
Despite rapid advances, modeling a variety of instructional designs to support variations in teaching and learning during the design of educational technologies is still an open challenge. In this paper, we propose a patterns based approach for the design of educational technologies to address this challenge. This is in contrast with existing…
Descriptors: Educational Technology, Instructional Design, Teaching Methods, Adult Literacy
Liu, Chenchen; Hwang, Gwo-Jen – Interactive Learning Environments, 2023
The use of touchscreen mobile devices in early childhood education has gained considerable attention. Several studies have been conducted to investigate the impacts of touchscreen mobile devices on children's cognitive and affective development. Researchers have further indicated the need to probe in which contexts children can learn effectively…
Descriptors: Handheld Devices, Computer Oriented Programs, Technology Uses in Education, Early Childhood Education
Karoui, Aous; Marfisi-Schottman, Iza; George, Sébastien – Interactive Learning Environments, 2022
The expansion of mobile devices (e.g. tablets, smartphones) and their educational and recreational applications have contributed to the emergence of Mobile Learning Games (MLGs). MLGs show great potential for increasing engagement, creativity and authentic learning. Yet, despite their great potential for education, the use of MLGs by teachers,…
Descriptors: Handheld Devices, Computer Oriented Programs, Educational Games, Evaluation
Luo, Zhenzhen; Jingying, Chen; Guangshuai, Wang; Mengyi, Liao – Interactive Learning Environments, 2022
A student's interest level can strongly affect the learning process, and thus, can be considered an important factor in the effort to improve learning. Presently, student interest is primarily assessed by administering questionnaires or conducting case analyses. However, this method cannot provide timely feedback in the learning environment to…
Descriptors: Student Interests, Technology Uses in Education, Models, Attention
Esteban-Millat, Irene; Martínez-López, Francisco J.; Pujol-Jover, Maria; Gázquez-Abad, Juan Carlos; Alegret, Alejandro – Interactive Learning Environments, 2018
This study advances the understanding of the process by which students accept and use e-learning environments. This is a key aspect in studying the online behaviour of students, as it directly influences their conduct in their capacity as users of learning products. To address the lack of empirical data on the adoption of this type of learning…
Descriptors: Educational Technology, Technology Uses in Education, Student Motivation, Models
Guomin Chen; Pengrun Chen; Ying Wang; Nan Zhu – Interactive Learning Environments, 2024
The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…
Descriptors: MOOCs, Electronic Learning, Design, Technology Uses in Education
Yildiz Durak, Hatice – Interactive Learning Environments, 2021
The present study aims to determine the relation between Technological Pedagogical Content Knowledge (TPACK) levels of teachers and their self-efficacy in integrating technology, their technology literacy and their usage objective of social networks. Structural equation modeling was utilized to create a model explaining and predicting the…
Descriptors: Correlation, Social Networks, Pedagogical Content Knowledge, Technological Literacy
García-Murillo, Gabriel; Novoa-Hernández, Pavel; Rodri?uez, Rocío Serrano – Interactive Learning Environments, 2023
In this study, we report on a Systematic Mapping Study (SMS) for the application of technology acceptance models to Moodle under the prism of latent variable modeling. Based on an automatic search including primary studies from journals, conferences, and book chapters during 2001 to 2019, 41 primary were selected. We aim to contribute to a better…
Descriptors: Learning Management Systems, College Students, Technology Uses in Education, Educational Research
Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning