NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Interactive Learning…832
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 241 to 255 of 832 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Chávez Herting, David; Cladellas Pros, Ramon; Castelló Tarrida, Antoni – Interactive Learning Environments, 2023
The objective of this study was to examine the variables that affect the use of PowerPoint by university professors. Based on the revised unified theory of acceptance and use of technology (UTAUT-2), a theoretical model adapted to the study context was proposed. The impact of the attitude towards PowerPoint, performance expectancy, effort…
Descriptors: Habit Formation, Educational Technology, Technology Uses in Education, College Faculty
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Jian-Wei; Tsai, Chia-Wen; Hsu, Chu-Ching – Interactive Learning Environments, 2023
Different e-learning technologies may offer different incentive factors, which influence behavioural intention. Moreover, when adopting a new e-learning technology for an extended period, learners' perceptions and learning behaviour may change during the learning period. Unfortunately, as formative assessments (FAs) are often continuously…
Descriptors: Comparative Analysis, Evaluation Methods, Formative Evaluation, Game Based Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Jingyun; Shimada, Atsushi; Oi, Misato; Ogata, Hiroaki; Tabata, Yoshiyuki – Interactive Learning Environments, 2023
This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated…
Descriptors: Visualization, Electronic Publishing, Books, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Hurtado-Bermúdez, Santiago; Romero-Abrio, Ana – Interactive Learning Environments, 2023
Development and evaluation of a teaching-learning activity in 4th year Forensic Physics course of Degree in Criminology was based on different combinations of a virtual laboratory and a research laboratory as teaching spaces. Students explored in detail the components and functioning of an electron microscope using both an online suite of…
Descriptors: Physics, Crime, Science Laboratories, Laboratory Equipment
Peer reviewed Peer reviewed
Direct linkDirect link
Galura, Jeanne C.; Reyes, Eler G. Delos; Pineda, Josephine Luz S. – Interactive Learning Environments, 2023
Changes in the educational landscape due to the COVID-19 pandemic open opportunities to create instructional materials that will make teaching and learning easier. The use of a learning tool such as Learning Management System (LMS) as the online classrooms of students is one of the essentials in an online learning environment. Utilizing an action…
Descriptors: Educational Technology, Learning Management Systems, Computer Mediated Communication, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Ahmed Tlili; Natalia Padilla-Zea; Juan Garzón; Yiping Wang; Kinshuk Kinshuk; Daniel Burgos – Interactive Learning Environments, 2023
With the rapid evolution of mobile technology, the adoption of mobile learning in education has also increased. Several studies have conducted various systematic literature reviews to discuss mobile learning from different perspectives, such as its advantages and limitations. However, limited attention has been paid to pedagogy in mobile learning.…
Descriptors: Computer Oriented Programs, Technology Uses in Education, Technology Integration, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Nazish Shahid – Interactive Learning Environments, 2023
The current investigation reflects on the insufficient performance of students in virtual exams in the era of transformation of the physical mode of education to digital one due to the passive adaptation to the technical drive of the virtual environment, the tenuous command of platform's technical language, especially in mathematics and physics…
Descriptors: Evaluation Methods, Computer Assisted Testing, Academic Achievement, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Chin-Hsi Lin; Keyi Zhou; Shiyun Yang; Zhong Sun – Interactive Learning Environments, 2023
Mobile technology is one of the most important approaches to facilitating vocabulary learning. However, despite an increasing use of mobile devices for this purpose, there is currently no dedicated evaluation framework to examine whether the vocabulary-learning applications on the market are well designed. Building on prior research from the…
Descriptors: Vocabulary Development, English (Second Language), Second Language Learning, Second Language Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Chaoying He; Jingying Chen; Kun Zhang – Interactive Learning Environments, 2024
Issues with joint attention, especially avoiding eye contact with others, are considered one of the core defects found in the early stages of children with autism spectrum disorder (ASD). This study is the first to use pupil reflection technology, which can be used to present an image of the participants within the virtual character's eyes on the…
Descriptors: Attention, Autism Spectrum Disorders, Symptoms (Individual Disorders), Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Kai Guo; Yuchun Zhong; Danling Li; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
This study proposed a novel approach to classroom debates, in which chatbots that are able to engage in argumentative dialogues are adopted to facilitate students' debate preparation. The approach comprised three stages: first, students interacted with a chatbot named Argumate to help them generate ideas; second, students discussed the ideas with…
Descriptors: Foreign Countries, Undergraduate Students, Debate, Persuasive Discourse
Peer reviewed Peer reviewed
Direct linkDirect link
Yu-Yin Wang; Yu-Wei Chuang – Interactive Learning Environments, 2024
A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…
Descriptors: Computer Simulation, Electronic Learning, Technology Uses in Education, Learning Management Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Kai-Yi Chin; Huai-Ling Chang; Ching-Sheng Wang – Interactive Learning Environments, 2024
This study developed a wearable mixed reality (MR)-based mobile learning system and applied it to museum learning activities to explore whether the proposed system can effectively improve university students' learning outcomes, situational interest, and cognitive load. Four museums were selected as the informal learning sites, and 64 university…
Descriptors: Biofeedback, Human Body, Handheld Devices, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Ebtesam S. Alqahtani; Sameer M. AlNajdi – Interactive Learning Environments, 2024
Many universities have adopted AR to enhance teaching and learning practices, but it has faced some obstacles. There is a lack of research on the obstacles of implications of AR in Saudi universities. This study aims to identify the extent to which faculty members agree with adopting AR as a pedagogical tool and whether there are statistically…
Descriptors: Foreign Countries, Physical Environment, Simulated Environment, Synthesis
Peer reviewed Peer reviewed
Direct linkDirect link
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Pages: 1  |  ...  |  13  |  14  |  15  |  16  |  17  |  18  |  19  |  20  |  21  |  ...  |  56