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Lee, Seungyup; Baek, Jongsoo; Han, Gunhee – Interactive Learning Environments, 2018
Using a secondary device while viewing a primary device (i.e. TV), or media multitasking, is now common. Numerous researchers and practitioners have attempted to introduce secondary devices into education as a new learning environment providing additional information to the user. However, the learning-related effects of using a second screen…
Descriptors: Likert Scales, Questionnaires, Multimedia Instruction, Computer Oriented Programs
Xu, Zhe; Gu, Xiaoqing – Interactive Learning Environments, 2017
Using tools to support learning design has been proven feasible in improving the integration of technology into the curriculum. However, novice teachers are faced with two major issues, including their limited experience in learning design and limited ability in using new technologies. Learning map is explored and developed in e-Textbooks to…
Descriptors: Beginning Teachers, Concept Mapping, Instructional Design, Case Studies
Hernández-Nanclares, Núria; García-Muñiz, Ana S.; Rienties, Bart – Interactive Learning Environments, 2017
Although the importance of boundary spanning in blended and online learning is widely acknowledged, most educational research has ignored whether and how students learn from others outside their assigned group. One potential approach for understanding cross-boundary knowledge sharing is Social Network Analysis (SNA). In this article, we apply four…
Descriptors: Cooperative Learning, Blended Learning, Group Membership, Electronic Learning
Webster, Rustin – Interactive Learning Environments, 2016
The author investigated the interaction effect of immersive virtual reality (VR) in the classroom. The objective of the project was to develop and provide a low-cost, scalable, and portable VR system containing purposely designed and developed immersive virtual learning environments for the US Army. The purpose of the mixed design experiment was…
Descriptors: Virtual Classrooms, Knowledge Level, Comparative Analysis, Lecture Method
Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Interactive Learning Environments, 2016
This paper presents a framework (FILTWAM (Framework for Improving Learning Through Webcams And Microphones)) for real-time emotion recognition in e-learning by using webcams. FILTWAM offers timely and relevant feedback based upon learner's facial expressions and verbalizations. FILTWAM's facial expression software module has been developed and…
Descriptors: Educational Technology, Emotional Response, Computer Mediated Communication, Nonverbal Communication
Du, Jianxia; Wang, Chuang; Zhou, Mingming; Xu, Jianzhong; Fan, Xitao; Lei, Saosan – Interactive Learning Environments, 2018
The present investigation examines the multidimensional relationships among several critical components in online collaborative learning, including group trust, communication media, and interactivity. Four hundred eleven university students from 103 groups in the United States responded survey items on online collaboration, interactivity,…
Descriptors: College Students, Cooperative Learning, Trust (Psychology), Electronic Learning
Chen, Yu-Hsuan; Wang, Chang-Hwa – Interactive Learning Environments, 2018
Although research has indicated that augmented reality (AR)-facilitated instruction improves learning performance, further investigation of the usefulness of AR from a psychological perspective has been recommended. Researchers consider presence a major psychological effect when users are immersed in virtual reality environments. However, most…
Descriptors: Simulated Environment, Educational Technology, Technology Uses in Education, Psychological Patterns
Cho, Moon-Heum; Yoo, Jin Soung – Interactive Learning Environments, 2017
Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online…
Descriptors: Online Courses, Self Management, Active Learning, Data Analysis
Sung, Han-Yu; Hwang, Gwo-Jen – Interactive Learning Environments, 2018
Researchers have recognized the potential of educational computer games in improving students' learning engagement and outcomes; however, facilitating effective learning behaviors during the gaming process remains an important and challenging issue. In this paper, a collaborative knowledge construction strategy was incorporated into an educational…
Descriptors: Educational Technology, Technology Uses in Education, Computer Games, Teaching Methods
Teo, Timothy – Interactive Learning Environments, 2016
The aim of this study is to examine the factors that influenced the use of Facebook among university students. Using an extended technology acceptance model (TAM) with emotional attachment (EA) as an external variable, a sample of 498 students from a public-funded Thailand university were surveyed on their responses to five variables hypothesized…
Descriptors: Social Media, College Students, Emotional Response, Computer Attitudes
Wei, Chun-Wang; Lin, Yi-Chun; Lin, Yen-Ting – Interactive Learning Environments, 2016
Clinical resources in nursing schools are always insufficient for satisfying the practice requirements of each student at the same time during a formal course session. Although several studies have applied information and communication technology to develop computer-based learning tools for addressing this problem, most of these developments lack…
Descriptors: Nursing Education, Clinical Experience, Web Based Instruction, Nursing Students
Tarhini, Ali; Hone, Kate; Liu, Xiaohui; Tarhini, Takwa – Interactive Learning Environments, 2017
In this study, we examine the effects of individual-level culture on the adoption and acceptance of e-learning tools by students in Lebanon using a theoretical framework based on the Technology Acceptance Model (TAM). To overcome possible limitations of using TAM in developing countries, we extend TAM to include "subjective norms" (SN)…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Models
Al-Samarraie, Hosam; Selim, Hassan; Zaqout, Fahed – Interactive Learning Environments, 2016
A model is proposed to assess the effect of different content representation design principles on learners' intuitive beliefs about using e-learning. We hypothesized that the impact of the representation of course contents is mediated by the design principles of alignment, quantity, clarity, simplicity, and affordance, which influence the…
Descriptors: Electronic Learning, Learning Motivation, Course Content, Intuition
Lin, Chih-Cheng; Yu, Ya-Chuan – Interactive Learning Environments, 2017
Previous studies of multimedia presentations have determined the effects of the combination of text and pictures on vocabulary learning, but not those of the sound of new words. This study was intended to confirm those previous findings from the integration of mobile technologies and the approach of cognitive load. It adopted a within-subjects…
Descriptors: Foreign Countries, Secondary School Students, Grade 8, Vocabulary Development
Rodríguez-Ardura, Inma; Meseguer-Artola, Antoni – Interactive Learning Environments, 2016
User retention is a major goal for higher education institutions running their teaching and learning programmes online. This is the first investigation into how the senses of presence and flow, together with perceptions about two central elements of the virtual education environment (didactic resource quality and instructor attitude), facilitate…
Descriptors: Electronic Learning, Learning Motivation, Academic Persistence, Intention