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Mary E. Huston; C. Casey Ozaki – Perspectives of the ASHA Special Interest Groups, 2025
Purpose: Academic dishonesty has been a source of concern for universities and colleges for decades; however, there is limited research linking allied health students to cheating behaviors. The purpose of this study was to explore which cheating behaviors occurred most frequently among speech-language pathology students and why. Method: This…
Descriptors: Speech Language Pathology, Student Behavior, Student Attitudes, Graduate Students
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Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
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Saida Ulfa; Ence Surahman; Izzul Fatawi; Hirashima Tsukasa – Electronic Journal of e-Learning, 2024
The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the…
Descriptors: MOOCs, Intention, Automation, Feedback (Response)
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Yusuf Kalinkara; Oguzhan Özdemir – Anatomical Sciences Education, 2024
The impact of technology on educational domains has been a subject of research for many years. Therefore, understanding how students perceive and utilize technologies for educational purposes is crucial. Especially in a critical subject like anatomy education, it is essential to employ various models to determine students' technology acceptance…
Descriptors: Educational Technology, Technology Uses in Education, Anatomy, College Students
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Cloneria Nyambali Jatileni; Sari Havu-Nuutinen; Susanna Pöntinen – South African Journal of Education, 2024
The bring-your-own-device policy (BYOD) in schools has recently attracted considerable research interest. BYOD allows students to learn subjects like mathematics using personal mobile devices. Accordingly, BYOD can increase students' desire to learn mathematics in school. In the study we report on here, we assessed 9th grade students' (n = 500)…
Descriptors: Foreign Countries, Educational Technology, Ownership, Mathematics Instruction
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Mbonisi Maku; Ernest Nikisi; Omobayo Ayokunle Esan; Munienge Mbodila; Patrick Bwowe – International Journal of Education and Development using Information and Communication Technology, 2025
The rapid growth in information communication technology (ICT) usage has brought remarkable changes in higher education. Many higher education institutions around the globe are adopting e-learning platforms as one of the primary ways of delivering teaching and learning among students. During the COVID-19 pandemic, South African higher education…
Descriptors: Foreign Countries, Electronic Learning, Disadvantaged Schools, Universities
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Hang Wang; Xiaorong Hou; Jiaxiu Liu; Xiaoyu Zhou; Mengyao Jiang; Jing Liao – Education and Information Technologies, 2025
The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…
Descriptors: Academic Achievement, Learning Motivation, College Students, Intention
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Songkram, Noawanit; Chootongchai, Suparoek; Osuwan, Hathaiphat; Chuppunnarat, Yootthana; Songkram, Nutthakorn – Education and Information Technologies, 2023
The purpose of this research was to investigate students' behavioral intentions toward a digital learning platform. In the framework of Thai education, an empirical study evaluated and applied the adoption model. The recommended research model was tested using structural equation modeling with a sample of 1406 students from every part of Thailand.…
Descriptors: Student Behavior, Intention, Educational Technology, Technology Uses in Education
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Shirolkar, Shweta Devendra; Kadam, Rajashri – Education & Training, 2023
Purpose: The purpose of this study is to examine the factors influencing the adoption and utilization of the online examination portal (OEP) in Indian universities. This study combines the Unified Theory of Acceptance and Usage of Technology (UTAUT) and Task Technology Fit (TTF) to explain the user's intention to use an OEP at an Indian…
Descriptors: Foreign Countries, Universities, Computer Assisted Testing, Adoption (Ideas)
Sherri Lynn Rochel – ProQuest LLC, 2024
The problem addressed by this study is the high attrition rate of veteran public secondary teachers due to a multitude of challenges and changes faced throughout their tenure in an education career. The purpose of this qualitative descriptive phenomenological study was to explore the lived experiences of veteran public secondary teachers to…
Descriptors: Public School Teachers, Experienced Teachers, Barriers, Teaching Conditions
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Xuefeng Zhang; Yelin Huang; Mingshuang Chen; Fenglian Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Online teaching platforms (OTPs) are becoming important mediums for supporting college students in course learning activities. Their intention to use is critical for promoting learning effectiveness, efficiency, and continuous development of OTPs. Drawing upon the technology acceptance model (TAM), this study builds the research model of students'…
Descriptors: College Students, Student Behavior, Intention, Usability
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Kraisila Kanont; Pawarit Pingmuang; Thewawuth Simasathien; Suchaya Wisnuwong; Benz Wiwatsiripong; Kanitta Poonpirome; Noawanit Songkram; Jintavee Khlaisang – Electronic Journal of e-Learning, 2024
This study investigates the factors influencing the adoption of Generative-AI tools amongst Thai university students, employing the Technology Acceptance Model (TAM) as a theoretical framework. Data from 911 higher education students from 10 different Thai Universities Health Sciences, Sciences and Technology, Social Sciences and Humanities, and…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Educational Technology
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Thuy Nhu Thi Nguyen; Nam Van Lai; Quyet Thi Nguyen – Educational Process: International Journal, 2024
Background/purpose: The integration of ChatGPT at Ho Chi Minh City University of Technology and Education (HCMUTE) aims to transform teaching and learning dynamics. This research evaluates ChatGPT's impact on student learning behaviors, exploring its potential to enhance educational outcomes while addressing ethical concerns. Materials/methods: A…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Al-Emran, Mostafa; Al-Nuaimi, Maryam N.; Arpaci, Ibrahim; Al-Sharafi, Mohammed A.; Anthony, Bokolo – Education and Information Technologies, 2023
The emergence of wearable technologies, including smartwatches, has received a considerable attention from scholars across several sectors. However, there is a scarcity of knowledge regarding the determinants affecting the adoption of these wearables in education. Therefore, this research aims to propose a theoretical research model through the…
Descriptors: Educational Technology, Technology Uses in Education, Student Behavior, Intention
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Allen, Abigail A.; Randall, Kristina N. – Information and Learning Sciences, 2023
Purpose: Empirical validation of educational technology is critical for best practice, particularly when courses are delivered online. This study aims to investigate the predictive relationship of usage behaviors on perceptions of 30 preservice special education teachers while reading in an online social annotation reading tool.…
Descriptors: Preservice Teachers, Special Education Teachers, Documentation, Educational Technology
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