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Alexander Skulmowski – Educational Psychology Review, 2024
Generative AIs have been embraced by learners wishing to offload (parts of) complex tasks. However, recent research suggests that AI users are at risk of failing to correctly monitor the extent of their own contribution when being assisted by an AI. This difficulty in keeping track of the division of labor has been shown to result in placebo and…
Descriptors: Artificial Intelligence, Cognitive Processes, Difficulty Level, Epistemology
Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
Amanda Konet; Ian Thomas; Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Shannon Kugley; Karen Crotty; Meera Viswanathan; Robert Chew – Research Synthesis Methods, 2024
Accurate data extraction is a key component of evidence synthesis and critical to valid results. The advent of publicly available large language models (LLMs) has generated interest in these tools for evidence synthesis and created uncertainty about the choice of LLM. We compare the performance of two widely available LLMs (Claude 2 and GPT-4) for…
Descriptors: Data Collection, Artificial Intelligence, Computer Software, Computer System Design
Monsalve-Pulido, Julian; Aguilar, Jose; Montoya, Edwin – Education and Information Technologies, 2023
The adaptation of traditional systems to service-oriented architectures is very frequent, due to the increase in technologies for this type of architecture. This has led to the construction of frameworks or methodologies for adapting computational projects to service-oriented architecture (SOA) technology. In this work, a framework for adaptation…
Descriptors: Artificial Intelligence, Information Technology, Design, Governance
Baena-Rojas, Jose Jaime; Castillo-Martínez, Isolda Margarita; Méndez-Garduño, Juana Isabel; Suárez-Brito, Paloma; López-Caudana, Edgar Omar – Journal of Social Studies Education Research, 2023
Various technological devices, especially information communications technologies (ICTs), have become increasingly remarkable in higher education to help develop students' skills and qualifications. Considering this trend, supported by several academic theories, this paper proposes a breakthrough guidebook for universities and other scholastic…
Descriptors: Information Technology, Artificial Intelligence, Robotics, Higher Education
Gi Woong Choi; Soo Hyeon Kim; Daeyeoul Lee; Jewoong Moon – TechTrends: Linking Research and Practice to Improve Learning, 2024
Recently, generative AI has been at the center of disruptive innovation in various settings, including educational sectors. This article investigates ChatGPT, which is one of the most prominent generative AI in the market, to explore its usefulness and potential for instructional design. Four researchers used a set of prompts to generate a course…
Descriptors: Artificial Intelligence, Instructional Design, Information Technology, Course Content
Xinping Zhang – International Journal of Information and Communication Technology Education, 2024
As technology continues to evolve, the process of English translation has become easier. A technology called widget, which is used in modern research, provides an efficient graphical user interface for the interaction between the user and the application. This paper compares the newly proposed wireless widget system with existing models of English…
Descriptors: Internet, Computer Software, Information Technology, Information Storage
Shen, Guohua; Yang, Sien; Huang, Zhiqiu; Yu, Yaoshen; Li, Xin – Education and Information Technologies, 2023
Due to the growing demand for information technology skills, programming education has received increasing attention. Predicting students' programming performance helps teachers realize their teaching effect and students' learning status in time to provide support for students. However, few of the existing researches have taken the code that…
Descriptors: Prediction, Programming, Student Characteristics, Profiles
George Veletsianos; Shandell Houlden; Nicole Johnson – TechTrends: Linking Research and Practice to Improve Learning, 2024
Much of the literature on artificial intelligence (AI) in education imagines AI as a tool in the service of teaching and learning. Is such a one-way relationship all that exists between AI and learners? In this paper we report on a thematic analysis of 92 participant responses to a story completion exercise which asked them to describe a classroom…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Interaction
Daniel Wildcat – Tribal College Journal of American Indian Higher Education, 2024
The following is offered as only one Indigenous person's perspective--a Yuchi Muscogee tribal member's perspective. Several questions about AI emerge when we consider it through an (not the) Indigenous lens. Where is AI's heart and where is its spirit? Does this complex, fast source of intelligence have feelings or emotions? Does machine-generated…
Descriptors: Artificial Intelligence, Indigenous Populations, Cultural Context, Sustainability
Xuelin Liu; Hua Zhang; Yue Cheng – International Journal of Web-Based Learning and Teaching Technologies, 2024
In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…
Descriptors: Artificial Intelligence, Data, Text Structure, Classification
Dan Shen; Wenjia Zhao – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this…
Descriptors: Data, Music Education, Pronunciation, Singing
Geoffrey M. Cox – Studies in Philosophy and Education, 2024
The recent appearance of generative artificial intelligence (AI) platforms has been seen by many as disruptive for education. In this paper I attempt to locate the source of tension between educational goals and new information technologies including AI. I argue that this tension arises from new conceptions of epistemic agency that are…
Descriptors: Artificial Intelligence, Educational Objectives, Information Technology, Technology Uses in Education
Pasty Asamoah; John Serbe Marfo; Matilda Kokui Owusu-Bio; Ivy Maame Efua Hinson; Robert Doe; Daniel Zokpe – Africa Education Review, 2024
Academic integrity fosters a culture of honesty, trust, and respect within the educational community. Evidence indicates that manual plagiarism checks through human judgment remain prevalent in undergraduate theses, terminal assignments, and group projects in developing countries. To fill this gap, we engaged with students and staff of the Kwame…
Descriptors: Foreign Countries, Undergraduate Study, Plagiarism, Writing (Composition)
Jiang, Yongfeng; Li, Yuan – International Journal of Information and Communication Technology Education, 2022
This paper has designed a professional and practical SIMD computer mathematical model based on the SIMD physical machine model combined with the variable addition method. Furthermore, the model is applied in image collection, processing, and display operations, and a SIMD data parallel image processing system is finally established by absorbing…
Descriptors: Algorithms, Artificial Intelligence, Computers, Mathematical Models