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Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
Mindy E. Krantz – ProQuest LLC, 2024
The enterprise resource planning (ERP) industry is a billion-dollar software industry with two prominent higher education ERP companies bringing in a combined $14.27 billion the third quarter of their 2024 fiscal years (Oracle, 2023; Workday, 2023). ERP systems stemmed from materials resource planning (MRP) systems in the manufacturing industry…
Descriptors: Educational Planning, Two Year Colleges, Technical Institutes, Computer Software
Kuo, Yu-Chen; Chen, Yun-An – Education and Information Technologies, 2023
With the development of science and technology, the demand for programmers has increased. However, learning computer programs is not an easy task. It might cause a significant impact on programming if misconceptions exist at the beginning of the study. Hence, it is important to discover and correct them immediately. Chatbots are effective teaching…
Descriptors: Programming, Artificial Intelligence, Computer Science Education, Misconceptions
Hartmann, Christian; Rummel, Nikol; Bannert, Maria – Journal of Learning Analytics, 2022
This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed…
Descriptors: Heuristics, Problem Solving, Computer Software, Comparative Analysis
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
Zakaria, Fathiah; Che Kar, Siti Aishah; Abdullah, Rina; Ismail, Syila Izawana; Md Enzai, Nur Idawati – Asian Journal of University Education, 2021
This paper presents a study of correlation between subjects of Diploma in Electrical Engineering (Electronics/Power) at Universiti Teknologi MARA(UiTM) Cawangan Terengganu using Artificial Neural Network (ANN). The analysis was done to see the effect of mathematical subjects (Pre-calculus and Calculus 1) and core subject (Electric Circuit 1) on…
Descriptors: Correlation, Teaching Methods, Artificial Intelligence, Universities
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
Johnson, Gerald – ProQuest LLC, 2016
With the increase in technology in all facets of our lives and work, there is an ever increasing set of expectations that people have regarding information availability, response time, and dependability. While expectations are affected by gender, age, experience, industry, and other factors, people have expectations of technology, and from…
Descriptors: Statistical Analysis, Differences, Data Processing, Computer Software
Shebane, Treasure Lindokuhle; Dehinbo, Johnson – Journal of Computers in Mathematics and Science Teaching, 2020
Virtual Reality (VR) is an artificial environment that is created with software and presented to the user in such a way that the user suspends belief and accepts it as a real environment. Users interact with VR applications through on-screen toggles or with optional additional devices such as controllers, keyboard and mouse. However, when it comes…
Descriptors: Computer Simulation, Mathematics Instruction, Technology Integration, Academic Failure
Qazdar, Aimad; Er-Raha, Brahim; Cherkaoui, Chihab; Mammass, Driss – Education and Information Technologies, 2019
The use of machine learning with educational data mining (EDM) to predict learner performance has always been an important research area. Predicting academic results is one of the solutions that aims to monitor the progress of students and anticipates students at risk of failing the academic pathways. In this paper, we present a framework for…
Descriptors: Data Analysis, Academic Achievement, At Risk Students, High School Students
Sandler, Heidi J. – ProQuest LLC, 2016
The purpose of this grounded theory study was to examine the relationship between corporate culture (artifacts, values, and assumptions) and the creative endeavor of innovation in the software development industry. Innovation, the active implementation of creative ideas, is a widespread enterprise in the corporate world, especially in the areas of…
Descriptors: Organizational Culture, Innovation, Engineering, Qualitative Research
Nathalie Lyzwinski, Lynnette; Caffery, Liam; Bambling, Matthew; Edirippulige, Sisira – American Journal of Health Education, 2018
Background: Mindfulness can help college students with key challenges they face relating to weight gain and stress-induced emotional eating and binge eating. Little is presently known about the extent to which students are aware of mindfulness, their conceptualization and understanding of it, and the barriers as well as the facilitators of…
Descriptors: Metacognition, College Students, Student Attitudes, Health Education
McShane, Ian; Dearman, Philip – Australian Association for Research in Education, 2016
This paper examines the rise and fall of the Victorian education department's learning management system Ultranet. The Ultranet was conceived as a web-based portal that was designed to integrate and deliver on a range of policy objectives in the areas of student management, school networking and communication, and teaching and learning. Heavily…
Descriptors: Foreign Countries, Educational Technology, Computer Software, Technology Integration
Sajeev, A. S. M.; Crnkovic, Ivica – IEEE Conference on Software Engineering Education and Training, Proceedings (MS), 2012
Hiding critical information has resulted in disastrous failures of some major software projects. This paper investigates, using a subset of Keil's test, how graduates (70% of them with work experience) from different cultural backgrounds who are enrolled in a postgraduate course on global software development would handle negative information that…
Descriptors: Foreign Countries, Masters Programs, Industrial Psychology, Technical Occupations
Conard-Salvo, Tammy; Spartz, John M. – Writing Center Journal, 2012
This is a story of a failed study. In 2007, the authors set out to demonstrate that Kurzweil 3000, an adaptive text-to-speech software program, would help any student revise with its read-aloud function and numerous writing tools. During the course of the study, the authors confronted their misconceptions about students' technology use and…
Descriptors: Assistive Technology, Computer Software, Technology Uses in Education, Laboratories
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