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Evaluation of AI Content Generation Tools for Verification of Academic Integrity in Higher Education
Muhammad Bilal Saqib; Saba Zia – Journal of Applied Research in Higher Education, 2025
Purpose: The notion of using a generative artificial intelligence (AI) engine for text composition has gained excessive popularity among students, educators and researchers, following the introduction of ChatGPT. However, this has added another dimension to the daunting task of verifying originality in academic writing. Consequently, the market…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation
Edmund Pickering; Clancy Schuller – Journal of Academic Ethics, 2025
Online tools are increasingly being used by students to cheat. File-sharing and homework-helper websites offer to aid students in their studies, but are vulnerable to misuse, and are increasingly reported as a major source of academic misconduct. Chegg.com is the largest such website. Despite this, there is little public information about the use…
Descriptors: Foreign Countries, Higher Education, Engineering Education, College Students
Iouri Kotorov; Yuliya Krasylnykova; Mar Pérez-Sanagustín; Fernanda Mansilla; Julien Broisin – Journal of Learning Analytics, 2024
The quality of the data and the amount of correct information available is key to informed decision-making. Higher education institutions (HEIs) often employ various decision support systems (DSSs) to make better choices. However, there is a lack of systems to assist with decision-making to promote innovation in teaching and learning. In this…
Descriptors: Decision Making, Case Studies, Instructional Innovation, Teaching Methods
Miray Dogan; Arda Celik; Hasan Arslan – European Journal of Education, 2025
This research investigates how artificial intelligence (AI) influences higher education, specifically exploring the perspectives of academicians regarding associated risks and opportunities. The study is aimed at the implementation of AI within university settings and its impact on both educators and students. Given the swift integration of AI,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Access to Internet
Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation
Karnalim, Oscar; Budi, Setia; Toba, Hapnes; Joy, Mike – Informatics in Education, 2019
Source code plagiarism is an emerging issue in computer science education. As a result, a number of techniques have been proposed to handle this issue. However, comparing these techniques may be challenging, since they are evaluated with their own private dataset(s). This paper contributes in providing a public dataset for comparing these…
Descriptors: Plagiarism, Computer Science Education, Comparative Analysis, Problem Solving
Akbari, Alireza – Journal of Further and Higher Education, 2021
Much progress has been made in the areas of diminishing, avoiding, and resisting plagiarism, due to the recent development of plagiarism tools. Many scholars/authors across the globe have been struggling with plagiarism, giving a number of lectures and writing articles pinpointing strategies that take into account on-line plagiarism services such…
Descriptors: Translation, Plagiarism, Integrity, Prevention
Rodafinos, Angelos – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2018
Aim/Purpose: This paper presents some of the issues that academia faces in both the detection of plagiarism and the aftermath. The focus is on the latter, how academics and educational institutions around the world can address the challenges that "follow" the identification of an incident. The scope is to identify the need for and…
Descriptors: Plagiarism, Intervention, Prevention, Higher Education
Kai, Shimin; Andres, Juan Miguel L.; Paquette, Luc; Baker, Ryan S.; Molnar, Kati; Watkins, Harriet; Moore, Michael – International Educational Data Mining Society, 2017
As higher education institutions develop fully online course programs to provide better access for the non-traditional learner, there is increasing interest in identifying students who may be at risk of attrition and poor performance in these online course programs. In our study, we investigate the effectiveness of an online orientation course in…
Descriptors: Online Courses, Student Behavior, Prediction, Models
Velliaris, Donna M.; Breen, Paul – Journal of International Students, 2016
In this paper, the authors explore a holistic three-stage framework currently used by the Eynesbury Institute of Business and Technology (EIBT), focused on academic staff identification and remediation processes for the prevention of (un)intentional student plagiarism. As a pre-university pathway provider--whose student body is 98%…
Descriptors: Academic Discourse, Integrity, Holistic Approach, Plagiarism
Thompson, Dale R.; Di, Jia; Daugherty, Michael K. – IEEE Transactions on Education, 2014
The future cyber security workforce needs radio frequency identification (RFID) information systems security (INFOSEC) and threat modeling educational materials. A complete RFID security course with new learning materials and teaching strategies is presented here. A new RFID Reference Model is used in the course to organize discussion of RFID,…
Descriptors: Radio, Information Technology, Identification, Telecommunications
Zeltser, Lenny – Campus Technology, 2011
Too often, organizations make the mistake of treating malware infections as a series of independent occurrences. Each time a malicious program is discovered, IT simply cleans up or rebuilds the affected host, and then moves on with routine operational tasks. Yet, this approach doesn't allow the institution to keep up with the increasingly…
Descriptors: Computer Security, Computer Software, Workstations, Campuses
Yelamarthi, Kumar – Journal of STEM Education: Innovations and Research, 2012
Multidisciplinary projects involving electrical engineering (EE), mechanical engineering (ME), and computer engineering (CE) students are both exciting and difficult to conceptualize. Answering this challenge, this paper presents a multidisciplinary educational platform on radio frequency identification-based assistive devices. The combination of…
Descriptors: Computer Assisted Instruction, Educational Technology, Assistive Technology, Engineering
Semple, Mid; Hatala, Jeffrey; Franks, Patricia; Rossi, Margherita A. – Journal of Educational Technology Systems, 2011
On-line college courses present a mandate for student identity verification for accreditation and funding sources. Student authentication requires course modification to detect fraud and misrepresentation of authorship in assignment submissions. The reality is that some college students cheat in face-to-face classrooms; however, the potential for…
Descriptors: Higher Education, Online Courses, Cheating, Ethics
Thumann, Mary Agnes – ProQuest LLC, 2010
This dissertation examines depiction in American Sign Language (ASL) presentations. The impetus for this study came from my work as an instructor in an interpreter education program. The majority of ASL/English interpreters are second language learners of ASL, and many of them find some features of ASL challenging to learn. These features are…
Descriptors: Video Technology, Nonverbal Communication, Second Languages, Deafness
Suess, Jack; Morooney, Kevin – EDUCAUSE Review, 2009
Increasingly, IT organizations will move from providing IT services locally to becoming an integrator of IT services--some provided locally and others provided outside the institution. As a result, institutions must immediately begin to plan for shared services and must understand the essential role that identity management and trust services play…
Descriptors: Higher Education, Internet, Computer Software, Computer Security
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