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Showing 1 to 15 of 261 results Save | Export
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Ruchika Vatsa; Purnima Bhatnagar – International Journal of Information and Learning Technology, 2024
Purpose: The purpose of this paper is to apply systems modeling to explore the usability of the online learning platform in the future compared to its usefulness during the pandemic era. Design/methodology/approach: The applied systems research methodology has been used to develop a stock-flow model encompassing enablers and constraints for…
Descriptors: Electronic Learning, Student Behavior, Student Motivation, COVID-19
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Kanokpan Wiboolyasarin; Watcharapol Wiboolyasarin; Ruedee Kamonsawad; Phornrat Tiranant; Poomipat Boonyakitanont; Nattawut Jinowat – International Journal of Information and Learning Technology, 2024
Purpose: The use of three-dimensional virtual worlds (3DVWs) is increasingly becoming a common practice in language education to provide digital learning environments for second-language (L2) communicative classes. This study aimed to identify the key factors underlying communication in 3DVWs that can improve the communication skills of L2…
Descriptors: Computer Simulation, Virtual Classrooms, Electronic Learning, Second Language Instruction
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Albanë Gashi; Genc Zhushi; Besnik Krasniqi – International Journal of Information and Learning Technology, 2024
Purpose: This paper aims at identifying crucial factors that affect student satisfaction with synchronous e-learning. For this purpose, a research model comprised of perceived usefulness (PU), perceived ease of use (PEU), computer anxiety (CA), self-efficacy (SE), system accessibility (SA), perceived interaction (PI) and perceived flexibility (PF)…
Descriptors: Student Satisfaction, Educational Technology, Synchronous Communication, COVID-19
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Shard; Devesh Kumar; Sapna Koul – International Journal of Information and Learning Technology, 2024
Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
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Agus Prayogo; Khusnul Khotimah; Lilik Istiqomah; Ista Maharsi – International Journal of Information and Learning Technology, 2024
Purpose: In this paper the authors have sought to create solid connection between theory and practices pertaining to the immense value of students' emotional engagement in online instruction. This conceptual paper is motivated by the inadequacy of literature translating the emotional engagement concept to the micro level of online instructions…
Descriptors: Electronic Learning, Psychological Patterns, Learner Engagement, Teacher Role
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Lauren Schnell-Peskin; Gina Riley; Kristen Hodnett; Virginia Gryta; April Kisamore – International Journal of Information and Learning Technology, 2024
Purpose: It is now considered commonplace to teach in a multigenerational higher education classroom that is made up of Baby Boomers, Generation X, Y and Z students. To ensure that all students, regardless of their generational identity, are successful in the classroom, educators must teach purposefully, with an understanding of the variables that…
Descriptors: Student Needs, Higher Education, Intergenerational Programs, Adult Students
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Ali Zeb; Rafid Ullah; Rehmat Karim – International Journal of Information and Learning Technology, 2024
Purpose: This paper aims to examine the opportunities and challenges of using ChatGPT in higher education. Furthermore, it is also discuss the potential risks and plunders of these tools. Design/methodology/approach: The paper discuss the use of artificial intelligence (AI) in academia and explores the opportunities and challenges of using ChatGPT…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Barriers
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Al-Awidi, Hamed Mubarak; Al-Furaih, Suad Abdul Aziz – International Journal of Information and Learning Technology, 2023
Purpose: Informal learning is an effective and motivating strategy to support the learning process. Informal learning has received increased attention recently due to the coronavirus disease 2019 (COVID-19) pandemic. However, finding effective ways to facilitate innovative teaching and learning through open educational resources (OER) is a vital…
Descriptors: Foreign Countries, Public School Teachers, Teacher Characteristics, Teacher Behavior
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Rodríguez-Villalobos, Martha; Fernandez-Garza, Jessica; Heredia-Escorza, Yolanda – International Journal of Information and Learning Technology, 2023
Purpose: The objective of this study was to compare three distinct methods of test monitoring in the context of distance education--non-proctored remote or online tests, traditional face-to-face proctored tests and remotely proctored tests using software--to analyze if the method in which tests are monitored influences the obtained grades.…
Descriptors: Computer Assisted Testing, Academic Achievement, Distance Education, Computer Software
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Dastane, Omkar; Haba, Herman Fassou – International Journal of Information and Learning Technology, 2023
Purpose: The purpose of the study is to identify drivers of mobile massive open online course (MOOC) continuous intention (CI) through the lenses of customer perceived value (CPV) theory. Consumer choice is successfully explained by CPV, but lesser attention is given to linking the theory to the mobile MOOC context whereby the majority of theories…
Descriptors: MOOCs, Intention, Electronic Learning, Educational Benefits
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Tewari, Alok; Singh, Ram; Mathur, Smriti; Pande, Sushil – International Journal of Information and Learning Technology, 2023
Purpose: The current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India. The moderating role of openness to change in influencing the proposed relationships is also assessed. Design/methodology/approach: A structured questionnaire was…
Descriptors: Intention, Educational Technology, Online Courses, Student Attitudes
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Pardim, Vanessa Itacaramby; Contreras Pinochet, Luis Hernan; Viana, Adriana Backx Noronha; de Souza, Cesar Alexandre – International Journal of Information and Learning Technology, 2023
Purpose: Education is undergoing digital transformation intensified by COVID-19. In this context, gamification is an attractive alternative based on the use of elements of the games with educational purposes. However, it keeps the educational content to be learned as a central element without neglecting the "fun," which contributing to…
Descriptors: Gamification, Private Schools, Foreign Countries, Business Administration Education
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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
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Rosen, Yigal; Jaeger, Garrett; Newstadt, Michelle; Bakken, Sara; Rushkin, Ilia; Dawood, Maneeza; Purifoy, Chris – International Journal of Information and Learning Technology, 2023
Purpose: Despite the fact that research on creativity and cognition have garnered the attention of researchers and practitioners for decades, there is a lack of valid, reliable, and accessible instruments for enhancing and measuring these critical skills. Leveraging research from The LEGO Foundation and in collaboration with BrainPOP and the…
Descriptors: Creative Thinking, Cognitive Ability, Measurement Techniques, Formative Evaluation
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Ma, Terence; Ten Cate, Olle – International Journal of Information and Learning Technology, 2023
Purpose: Job competency frameworks are based on the listing skills required for a job. The assumption is that if a candidate is presumed to have the skills, then the candidate should be able to do the job. Thus, employers hope to identify prospective employees having the required skills. However, this may differ from knowing whether the employee…
Descriptors: Models, Competence, Job Skills, Job Applicants
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