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Showing 1 to 15 of 45 results Save | Export
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Berkan Celik; Kursat Cagiltay – Education and Information Technologies, 2024
MOOC learners come from different backgrounds, and they have various motivations and intentions for taking online courses. This study examines learner intentions with subsequent behaviors and the reasons for the intention-behavior gap in MOOCs. A total of four MOOCs from BilgeIs MOOC Portal was used in this study. This quantitative study with a…
Descriptors: Students, MOOCs, Intention, Student Behavior
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Biedermann, Daniel; Ciordas-Hertel, George-Petru; Winter, Marc; Mordel, Julia; Drachsler, Hendrik – Journal of Learning Analytics, 2023
Learners use digital media during learning for a variety of reasons. Sometimes media use can be considered "on-task," e.g., to perform research or to collaborate with peers. In other cases, media use is "off-task," meaning that learners use content unrelated to their current learning task. Given the well-known problems with…
Descriptors: Learning Processes, Learning Analytics, Information Technology, Behavior Patterns
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Pawan Kumar; Urvashi Tandon – Education and Information Technologies, 2024
This research aims to study the impact of Values enhanced technology adoption (VETA) in facilitating e-learning among academicians in Higher Education Institutions (HEIs) in North India. This research also validates the moderating role of digital technology by thoroughly understanding the impact of dimensions of VETA on behavioural intention. The…
Descriptors: Foreign Countries, Behavior Patterns, Electronic Learning, Higher Education
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Claire Hawkins – Pastoral Care in Education, 2024
Applying established definitions of bullying to the more recent phenomenon of cyberbullying often results in an ill-fitting definition which is contested by academics. There are particular difficulties when applying the well-documented facets of intentional harm, repetition and power imbalance to the context of online bullying. A contested…
Descriptors: Adolescents, Experience, Definitions, Bullying
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Ma, Boxuan; Lu, Min; Taniguchi, Yuta; Konomi, Shin'ichi – Smart Learning Environments, 2022
With the increasing use of digital learning materials in higher education, the accumulated operational log data provide a unique opportunity to analyzing student learning behaviors and their effects on student learning performance to understand how students learn with e-books. Among the students' reading behaviors interacting with e-book systems,…
Descriptors: Behavior Patterns, Electronic Publishing, Books, Reading Processes
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Zhuoyao Cui; Haochen Yang – SAGE Open, 2023
This study investigates the influence of game elements on active learning intentions within digital learning platforms. Drawing from a situational perspective, we developed a model and validated it using data from 492 respondents collected via questionnaires. Our findings suggest that while social elements enhance active learning intentions, both…
Descriptors: Educational Technology, Technology Uses in Education, Gamification, Active Learning
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Melvin Prince; Emma Wang – Journal of Further and Higher Education, 2024
Past studies of academic dishonesty typically have been grounded in the theory of planned behaviour. Key predictors of academic dishonesty variables under this framework generally have been attitudes towards academic dishonesty, the impact of peer pressure to engage in such acts, and individual perceptions of related acts. However, planned…
Descriptors: Integrity, Cheating, Ethics, Student Behavior
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Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
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Joe Hazzam; Stephen Wilkins; Bharati Singh; Blend Ibrahim – Innovations in Education and Teaching International, 2025
Social media educational tools represent an opportunity for higher education (HE) institutions to enhance postgraduate students' skills development. LinkedIn Learning can be used to complement classroom teaching and learning. However, the drivers and outcomes of this tool remain a gap in the literature. This study uses a cross-sectional research…
Descriptors: Foreign Countries, Graduate Students, Electronic Learning, Social Media
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Caleb Or – International Journal of Technology in Education and Science, 2023
The Unified Theory of Acceptance and Use of Technology (UTAUT) model has been widely used to explain user intention and use behavior. Past research has added attitude to the UTAUT framework to examine further how it influences technology adoption. This study utilized a combined meta-analysis and structural equation modelling [approach] to examine…
Descriptors: Meta Analysis, Technology Uses in Education, Technology Integration, Teaching Methods
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Jiexin Gao; Hui Yin; Ziqiang Han – Social Psychology of Education: An International Journal, 2024
Bystanders play an essential role in school bullying prevention. This study examines student bystanders' perceptions of severity and willingness to intervene in scenarios involving physical, verbal, relational, and cyberbullying. It focuses on five distinct victim reactions: pretending nothing happened, seeking help, fighting back, crying, and no…
Descriptors: Victims, Bullying, Elementary School Students, Middle School Students
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Schütz, Magdalena; Boxhoorn, Sara; Mühlherr, Andreas M.; Mössinger, Hannah; Freitag, Christine M.; Luckhardt, Christina – Journal of Autism and Developmental Disorders, 2023
The ability to infer intentions from observed behavior and predict actions based on this inference, known as intention attribution (IA), has been hypothesized to be impaired in individuals with autism spectrum disorder (ASD). The underlying neural processes, however, have not been conclusively determined. The aim of this study was to examine the…
Descriptors: Diagnostic Tests, Autism Spectrum Disorders, Brain Hemisphere Functions, Cognitive Processes
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Tong Li; Chris Kirk; Leticia Oseguera – Journal of College Student Development, 2023
Academic achievement, often measured by GPA, has been extensively studied in the literature of science, technology, engineering, and mathematics (STEM) education, including its impact on student persistence and success in college (Rask, 2010). However, most research has only looked at students' performance at a single point in time, such as their…
Descriptors: STEM Education, Intention, College Students, Longitudinal Studies
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Sachin Srivastava; Narender Singh Bhati – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This research aims to examine the mobile learning (m-learning) intentions of students pursuing design courses at graduate and undergraduate levels in higher education institutions in a developing country like India. This study integrated the Technology Readiness Index (TRI 2.0) and the Unified Theory of Acceptance and Use of…
Descriptors: Electronic Learning, Handheld Devices, Telecommunications, Design
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Lendínez-Turón, Ana; Domínguez-Valerio, Cándida María; Orgaz-Agüera, Francisco; Moral-Cuadra, Salvador – International Journal of Sustainability in Higher Education, 2023
Purpose: The purpose of this research paper is to adapt and validate a useful instrument to diagnose the knowledge, attitudes, behaviours and intention to participate (KABIP) towards Sustainable Development Goals (SDGs) in higher education institutions (HEIs) from the public administration in developing countries. Design/methodology/approach: The…
Descriptors: Public Administration, Sustainable Development, Objectives, Higher Education
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