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Yuanqing Hu; Xinyue Yu; Yongbin Hu; Kangkang Li – Education and Information Technologies, 2025
The rapid advancement of generative artificial intelligence (GAI) has transformed academic research, especially for graduate students, who are progressively depending on GAI for diverse research activities. However, despite its potential to revolutionize research practices, a critical gap remains in understanding the factors that influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Graduate Students, Intention
Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
Rekha, I S; Shetty, Jyothi; Basri, Savitha – Education and Information Technologies, 2023
In recent years, there has been an increasing interest in understanding the Massive open online courses (MOOCs) due to its gaining popularity. Even though the number of online platforms and programs has grown during the COVID-19 pandemic, there is still a high rate of dropout and non-completion. In this work, the expectation-confirmation model is…
Descriptors: Undergraduate Students, Graduate Students, Intention, MOOCs
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
Iddrisu Salifu; Francis Arthur; Bernard Yaw Sekyi Acquah; Ernest Opoku; Sharon Abam Nortey; Eric Boateng – Discover Education, 2025
This study based on an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, examines factors influencing graduate students' behavioural intention towards adoption and actual use of generative artificial intelligence (GenAI). Using a cross-sectional data from 415 graduate students in Ghana, this study employed the partial…
Descriptors: Graduate Students, Technology Uses in Education, Artificial Intelligence, Foreign Countries
Surya Bahadur G. C.; Pooja Bhandari; Santosh Kumar Gurung; Ekta Srivastava; Deepak Ojha; Bharat Ram Dhungana – Cogent Education, 2024
This study examined factors influencing students' intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from 578 students selected through convenience sampling at a university in Nepal through a structured questionnaire. Using PLS-SEM, the study found that habit ([beta] = 0.315, p < 0.001),…
Descriptors: Social Influences, Value Judgment, Habit Formation, Intention
Sanusi, Muhammad Surajo – Cogent Education, 2022
Although the pedagogy of blended learning in higher education has been well-accepted since 2000, its dimension has been changing, mainly due to the incessant technological innovations. The impact recorded on students' experience has been reliant on various factors. Some of these factors are cultural diversity, technical abilities, level of…
Descriptors: Action Research, Technology Uses in Education, Blended Learning, Student Attitudes
Mahande, Ridwan Daud; Malago, Jasruddin Daud – Journal of Educators Online, 2019
This study aims to evaluate e-learning acceptance through the UTAUT model by showing the contributing variables to the acceptance of e-learning in a Postgraduate Program at Universitas Negeri Makassar, Indonesia. This study was an ex post facto study with 170 samples distributed proportionally. The data were collected through a questionnaire that…
Descriptors: Electronic Learning, Adoption (Ideas), Graduate Students, Program Evaluation
Shouq Sowail Alsowail – ProQuest LLC, 2019
The aim of mobile learning (M-learning) is to overcome traditional constrictions of education such as the place and the time at which learning occurs. M-learning has been investigated in many areas; however, the impact of M-learning on graduate international students and their experiences have not yet been investigated. The research aims to answer…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Foreign Students
Bryant, Ezzard C., Jr. – ProQuest LLC, 2016
The purpose of this study was to explore graduate student perceptions of use and the ease of use of multi-modal tablets to access electronic course materials, and the perceived differences based on students' gender, age, college of enrollment, and previous experience. This study used the Unified Theory of Acceptance and Use of Technology to…
Descriptors: Educational Technology, Graduate Students, Student Attitudes, Handheld Devices
Crede, Erin; Borrego, Maura – Studies in Higher Education, 2014
The purpose of this study is to better understand the differences in selected retention constructs by student nationality in US graduate programs. Surveys administered at four universities across the United States during fall 2010 resulted in responses from 685 PhD students from six international regions. Using univariate ANOVA, responses were…
Descriptors: Foreign Students, Graduate Students, School Holding Power, Academic Persistence

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