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Direct linkEmin Ibili; Melek Ölmez; Abdullah Cihan; Firat Bilal; Aysel Burcu Ibili; Nurullah Okumus; Mark Billinghurst – Interactive Learning Environments, 2024
The aim of this study is to investigate the determinants that affect undergraduate students' behavioral intentions to continue learning computer hardware concepts utilizing a Metaverse-based system. The current study examined the factors influencing students' adoption of Metaverse technology at the tertiary level using a model based on the…
Descriptors: Student Behavior, Intention, Computer Simulation, Undergraduate Students
Thomas K. F. Chiu – Interactive Learning Environments, 2024
Generative artificial intelligence (GenAI) tools have become increasingly accessible and have impacted school education in numerous ways. However, most of the discussions occur in higher education. In schools, teachers' perspectives are crucial for making sense of innovative technologies. Accordingly, this qualitative study aims to investigate how…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Standards
Al-Maroof, Rana Saeed; Salloum, Said A.; Hassanien, Aboul Ella; Shaalan, Khaled – Interactive Learning Environments, 2023
This study seeks to explore the effect of fear emotion on students' and teachers' technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation…
Descriptors: COVID-19, Pandemics, Fear, Educational Technology
Asadullah Khaskheli; Yushi Jiang; Syed Ali Raza; Sara Qamar Yousufi – Interactive Learning Environments, 2024
The global COVID-19 pandemic has led educational institutions to shut down and adopt e-learning practices through computer-mediated communication. An unanticipated switch of online classes from face-to-face classes isolates students from social groups and teachers, causing online disinhibition. Therefore, this paper investigates factors…
Descriptors: Social Isolation, Student Behavior, Electronic Learning, COVID-19
Luckin, Rosemary; Clark, Wilma; Avramides, Katerina; Hunter, Jade; Oliver, Martin – Interactive Learning Environments, 2017
In this paper we review the literature on teacher inquiry (TI) to explore the possibility that this process can equip teachers to investigate students' learning as a step towards the process of formative assessment. We draw a distinction between formative assessment and summative forms of assessment [CRELL. (2009). The transition to computer-based…
Descriptors: Inquiry, Formative Evaluation, Summative Evaluation, Computer Assisted Testing
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
Dong, Yan; Liang, Jyh-Chong; Yu, Yue-Yue; Wu, Jui-Chi; Tsai, Chin-Chung – Interactive Learning Environments, 2015
The main purpose of this study was to examine the relationships between Chinese higher education students' epistemic beliefs and their judgmental standards of searching for literature online. Data were collected from 449 higher education students (152 college students and 297 graduate students) in Beijing via two self-reported questionnaires: one…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
Lazarinis, Fotis; Green, Steve; Pearson, Elaine – Interactive Learning Environments, 2011
In this article, we present the characteristics and the design of a modular personalized multimedia testing tool based fully on XML learning specifications. Personalization is based on the characteristics of the individual learners, thus the testing paths are tailored to their needs and goals. The system maintains learner profiles rich in content…
Descriptors: Multimedia Materials, Computer Assisted Testing, Computer Software Evaluation, Computer Software
