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Showing 1 to 15 of 17 results Save | Export
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Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
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Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
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Jeong, Allan; Kim, Hae Young – Knowledge Management & E-Learning, 2022
Research shows that using computer-aided mapping tools improves critical thinking skills, but prior research provides limited evidence to show how the use of specific critical thinking skills increases map quality. This qualitative study observed 4 experts and 5 novices use a computer-aided mapping tool to construct argument maps. The analysis of…
Descriptors: Identification, Critical Thinking, Thinking Skills, Expertise
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Xiaohua Liu – Asia-Pacific Education Researcher, 2025
The surge of generative AI (GenAI) tools on the internet has caused unprecedented disruptions to education, and there are growing concerns about them being misused by students to commit plagiarism, hence jeopardizing assessment validity. Despite the foreseeable challenges, it remains unclear how frontline language teachers perceive and react to…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
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Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
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Martínez, Salvador; Wimmer, Manuel; Cabot, Jordi – Computer Science Education, 2020
Background and Context: Reports suggest plagiarism is a common occurrence in universities. While plagiarism detection mechanisms exist for textual artifacts, this is less so for non-code related ones such as software design artifacts like models, metamodels or model transformations. Objective: To provide an efficient mechanism for the detection of…
Descriptors: Plagiarism, Identification, Computer Software, Computer Uses in Education
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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
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Jeske, Heimo J.; Lall, Manoj; Kogeda, Okuthe P. – Journal of Information Technology Education: Innovations in Practice, 2018
Aim/Purpose: The aim of this article is to develop a tool to detect plagiarism in real time amongst students being evaluated for learning in a computer-based assessment setting. Background: Cheating or copying all or part of source code of a program is a serious concern to academic institutions. Many academic institutions apply a combination of…
Descriptors: Plagiarism, Identification, Computer Software, Computer Assisted Testing
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Gillon, Gail; McNeill, Brigid; Scott, Amy; Gath, Megan; Westerveld, Marleen – Child Language Teaching and Therapy, 2023
This study examined the validity of data collected from a novel online story retell task. The task was specifically designed for use by junior school teachers with the support of speech-language therapists or literacy specialists. The assessment task was developed to monitor children's oral language progress in their first year at school as part…
Descriptors: Task Analysis, Story Telling, Validity, Speech Language Pathology
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Shuqun, Yang; Shuliang, Ding; Zhiqiang, Yao – International Journal of Distance Education Technologies, 2009
Cognitive diagnosis (CD) plays an important role in intelligent tutoring system. Computerized adaptive testing (CAT) is adaptive, fair, and efficient, which is suitable to large-scale examination. Traditional cognitive diagnostic test needs quite large number of items, the efficient and tailored CAT could be a remedy for it, so the CAT with…
Descriptors: Monte Carlo Methods, Distance Education, Adaptive Testing, Intelligent Tutoring Systems
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Barman, Charles R. – Journal of Research and Development in Education, 1986
Described are the development and validation of two computer-based Piagetian assessment instruments, designed to assist teachers in identifying cognitive reasoning patterns. Implications for teachers are presented. (Author/MT)
Descriptors: Cognitive Development, Computer Software, Elementary Secondary Education, Identification
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Chang, Wen-Chih; Yang, Hsuan-Che; Shih, Timothy K.; Chao, Louis R. – International Journal of Distance Education Technologies, 2009
E-learning provides a convenient and efficient way for learning. Formative assessment not only guides student in instruction and learning, diagnose skill or knowledge gaps, but also measures progress and evaluation. An efficient and convenient e-learning formative assessment system is the key character for e-learning. However, most e-learning…
Descriptors: Electronic Learning, Student Evaluation, Formative Evaluation, Educational Objectives
Hutinger, Patricia L. – 1998
This final report describes the Technology Assessment Software Package (TASP) Project, which produced developmentally appropriate technology assessment software for children from 18 months through 8 years of age who have moderate to severe disabilities that interfere with their interaction with people, objects, tasks, and events in their…
Descriptors: Auditory Stimuli, Computer Software, Computer Uses in Education, Disabilities
Shane, Howard – Exceptional Parent, 1988
A physician discusses the work of the Communications Enhancement Clinic at Children's Hospital-Boston in providing assistance to children with severe speech problems. He describes the process of evaluating and matching a child's strengths and weaknesses to available technology, including educational software, speech or print output devices, and…
Descriptors: Ability Identification, Assistive Devices (for Disabled), Communication Aids (for Disabled), Computer Software
Kallas, Anmarie, Ed. – 1992
This 1992 edition provides basic information on all research projects funded by the Division of Innovation and Development, Office of Special Education Programs, U.S. Department of Education, through December 1991. Abstracts of 198 projects are separated into 10 sections according to the primary focus of the study. The 10 sections include:…
Descriptors: Behavior Disorders, Computer Software, Cultural Differences, Delivery Systems
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