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Showing 1 to 15 of 16 results Save | Export
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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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Liu, Chengyuan; Cui, Jialin; Shang, Ruixuan; Xiao, Yunkai; Jia, Qinjin; Gehringer, Edward – International Educational Data Mining Society, 2022
An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Teaching Methods
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Schneider, J.; Börner, D.; van Rosmalen, P.; Specht, M. – Journal of Computer Assisted Learning, 2017
The ability to present effectively is essential for professionals; therefore, oral communication courses have become part of the curricula for higher education studies. However, speaking in public is still a challenge for many graduates. To tackle this problem, driven by the recent advances in computer vision techniques and prosody analysis,…
Descriptors: Nonverbal Communication, Feedback (Response), Semi Structured Interviews, Public Speaking
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Seifried, Eva; Lenhard, Wolfgang; Spinath, Birgit – Journal of Educational Computing Research, 2017
Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…
Descriptors: Computer Assisted Testing, Computer Software, Essays, Writing Evaluation
Tennyson, Matthew F. – ProQuest LLC, 2013
Authorship attribution of source code is the task of deciding who wrote a program, given its source code. Applications include software forensics, plagiarism detection, and determining software ownership. A number of methods for the authorship attribution of source code have been presented in the past. A review of those existing methods is…
Descriptors: Authors, Programming, Computer Software, Plagiarism
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)
Nwatu, Gideon U. – ProQuest LLC, 2011
One of the objectives of any government is the establishment of an effective solution to significantly control crime. Identity fraud in Nigeria has generated global attention and negative publicity toward its citizens. The research problem addressed in this study was the lack of understanding of the dynamics that influenced the adoption and…
Descriptors: Research Problems, Publicity, Identification, Questionnaires
Krishnamurthy, Janaki – ProQuest LLC, 2010
Given the increasing competition in the software industry and the critical consequences of software errors, it has become important for companies to achieve high levels of software quality. While cost reduction and timeliness of projects continue to be important measures, software companies are placing increasing attention on identifying the user…
Descriptors: Program Evaluation, Opinions, Privacy, Prediction
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Ghauth, Khairil Imran; Abdullah, Nor Aniza – Australasian Journal of Educational Technology, 2010
A recommender system is a piece of software that helps users to identify the most interesting and relevant learning items from a large number of items. Recommender systems may be based on collaborative filtering (by user ratings), content-based filtering (by keywords), and hybrid filtering (by both collaborative and content-based filtering).…
Descriptors: Electronic Learning, Electronic Libraries, Online Systems, Computer Software
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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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Shore, David I.; Burack, Jacob A.; Miller, Danny; Joseph, Shari; Enns, James T. – Developmental Science, 2006
Changes to a scene often go unnoticed if the objects of the change are unattended, making change detection an index of where attention is focused during scene perception. We measured change detection in school-age children and young adults by repeatedly alternating two versions of an image. To provide an age-fair assessment we used a bimanual…
Descriptors: Infants, Young Adults, Memory, Computer Software
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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
Reynolds, Rodney, Ed.; Woods, Robert, Ed.; Baker, Jason, Ed. – Idea Group Publishing, 2007
The "Handbook of Research on Electronic Surveys and Measurements" is the comprehensive reference source for innovative knowledge on electronic surveys. This commanding handbook of research provides complete coverage of the challenges associated with the use of the Internet to develop online surveys, administer Web-based instruments, and conduct…
Descriptors: Surveys, Evaluation Research, Computer Assisted Testing, Measurement Techniques
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