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Cecilia Ka Yuk Chan – Education and Information Technologies, 2025
This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…
Descriptors: Higher Education, College Students, Artificial Intelligence, Plagiarism
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Wei Zhang; Xinyao Zeng; Lingling Song – Education and Information Technologies, 2025
Computational thinking (CT) assessment is crucial for testing the effectiveness of CT skills development. However, the exploration of CT assessment in the context of text-based programming is in its initial stages. The intrinsic relationship between the core skills of text-based programming and the core elements of CT isn't analyzed in depth in…
Descriptors: Mental Computation, Programming, College Students, Evaluation
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Bodong Chen; Zixi Chen – Education and Information Technologies, 2024
Web annotation environments are widely used in education based on the premise that student interaction in these environments benefits individual and group learning. However, there is little research on factors driving student interaction in web annotation activities. In this study we asked: What dynamics could explain social interaction among…
Descriptors: College Students, Internet, Documentation, Computer Mediated Communication
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Yue Li – Education and Information Technologies, 2025
This study purposes to investigate the impacts of "theoretical" and "practical" courses on cyber entrepreneurial intention and its leading variables based on TAM/TPB integrated model. Targeted sampling technology is used to compare multiple groups of students who had taken cyber entrepreneurship courses or not, which used…
Descriptors: Entrepreneurship, Business Education, Intention, Computers
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Oriane Pierrès; Alireza Darvishy; Markus Christen – Education and Information Technologies, 2025
The release of a free generative artificial intelligence (GAI), ChatGPT, in November 2022 has opened up numerous opportunities for students with disabilities in higher education. While the transformative impact of GAI on teaching and learning in general is being debated intensively, little attention has been given to its potential for fostering or…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Students with Disabilities
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Lakshana Assalaarachchi; Thilini Rambukwella; Ganguli Ranasinghe; Kaveesha Silva; Champa Hewagamage – Education and Information Technologies, 2025
In a period where digital transformation has become a buzzword in every industry, the higher education sector can also be further improved using digital transformation. This study explores the limitations faced when supervising and evaluating the interns manually and develops an information systems-based solution to overcome such identified…
Descriptors: Internship Programs, Supervision, Student Evaluation, College Students
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Juan José García-Machado; Minerva Martínez Ávila; Nicoleta Dospinescu; Octavian Dospinescu – Education and Information Technologies, 2024
In recent years educational institutions are increasingly using online learning and because of this trend it is necessary to investigate its impact on student academic performance. Although this topic has been addressed in different educational fields before, there is an objective justification for our approach. Thus, the reasoning behind this…
Descriptors: Electronic Learning, Influences, Academic Achievement, Student Motivation
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Mikkel Godsk; Karen Louise Møller – Education and Information Technologies, 2025
There is a widespread agenda of improving teaching and learning in higher education by engaging students with educational technology. Based on a large-scale literature review, the article presents 61 specific, research-based recommendations for realising the engagement potential of eight types of educational technologies in higher education. These…
Descriptors: College Students, Learner Engagement, Technology Uses in Education, Educational Technology
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Sourajit Ghosh; Md. Sarwar Kamal; Linkon Chowdhury; Biswarup Neogi; Nilanjan Dey; Robert Simon Sherratt – Education and Information Technologies, 2024
Students are the future of a nation. Personalizing student interests in higher education courses is one of the biggest challenges in higher education. Various AI and ML approaches have been used to study student behaviour. Existing AI and ML algorithms are used to identify features for various fields, such as behavioural analysis, economic…
Descriptors: Engineering Education, Artificial Intelligence, College Students, Student Interests
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Saltanat Aubakirova; Maira Kozhamzharova; Gaukhar Akhmetova; Gulzhan Artykbayeva; Zauresh Iskakova; Ramilya Zhayabayeva – Education and Information Technologies, 2024
The study aims to investigate the level of motivation and entrepreneurial competencies of students using online distance courses in entrepreneurial learning. Based on the Massive Open Online Courses (MOOCs) program, an experimental group of respondents took the course "How to Start Your Own Business" (March-May 2022), and their results…
Descriptors: MOOCs, Entrepreneurship, Student Motivation, Ability
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Quanwei Shen; Bin Gao; Jiamei Lu; Qiong Ge; Xiaoqi Yan; Baige Chen – Education and Information Technologies, 2024
In the context of the increasingly integrated development of information technology and classroom instruction, university students are engaging in a growing portion of their learning within online spaces. Against this backdrop, the investment in online learning engagement has become a topic of significant interest among numerous researchers. Prior…
Descriptors: Interpersonal Relationship, Electronic Learning, Learner Engagement, Foreign Countries
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Xiaoqing Xu; Wei Zhao; Yue Li; Lifang Qiao; Jinhong Tao; Fengjuan Liu – Education and Information Technologies, 2025
The success of online learning relies on college students' self-regulated learning. The common visualizations (e.g., presentation learning behaviors' frequency and duration) are widely used to enhance online self-regulated learning. But most college students still have difficulty in accurately understanding their learning patterns and…
Descriptors: Individualized Instruction, Electronic Learning, College Students, Visualization
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Hakan Güldal; Emrah Oguzhan Dinçer – Education and Information Technologies, 2025
The purpose of this study was to investigate student perceptions and acceptance of a rule-based educational chatbot in higher education, employing the TAM (Technology Acceptance Model) framework. The researchers developed a rule-based chatbot for this purpose and examined the students' technology acceptance using qualitative research methods.…
Descriptors: Foreign Countries, Artificial Intelligence, College Students, Simulation
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Cathy Weng; Mona Adria Wirda – Education and Information Technologies, 2025
This study explores the relationship between student readiness for online learning and its impacts on engagement, satisfaction, and academic achievement in Indonesian higher education. Using a mixed-methods design, the quantitative phase employed Structural Equation Modeling (SEM) to reveal that online learning readiness significantly affects…
Descriptors: Foreign Countries, Electronic Learning, Learning Readiness, Learner Engagement
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Ayooluwa Aregbesola; Thomas van der Walt – Education and Information Technologies, 2024
The study investigated the influence of demographics, a wide range of motivations of new media use and constraints of its use, on the pattern of new media use for educational purposes by Nigerian university students. The rationale was to proffer appropriate strategies towards sustainable and effective deployment, integration, and utilisation of…
Descriptors: Foreign Countries, College Students, Educational Technology, Technology Uses in Education
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