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Perkins, Mike – Journal of University Teaching and Learning Practice, 2023
This paper explores the academic integrity considerations of students' use of Artificial Intelligence (AI) tools using Large Language Models (LLMs) such as ChatGPT in formal assessments. We examine the evolution of these tools, and highlight the potential ways that LLMs can support in the education of students in digital writing and beyond,…
Descriptors: Artificial Intelligence, College Students, Higher Education, Technology Uses in Education
Chang, Hui-Tzu; Lin, Chia-Yu; Jheng, Wei-Bin; Chen, Shih-Hsu; Wu, Hsien-Hua; Tseng, Fang-Ching; Wang, Li-Chun – Educational Technology & Society, 2023
The objective of this research is based on human-centered AI in education to develop a personalized hybrid course recommendation system (PHCRS) to assist students with course selection decisions from different departments. The system integrates three recommendation methods, item-based, user-based and content-based filtering, and then optimizes the…
Descriptors: Artificial Intelligence, Course Selection (Students), Blended Learning, Accuracy
Rakovic, Mladen; Iqbal, Sehrish; Li, Tongguang; Fan, Yizhou; Singh, Shaveen; Surendrannair, Surya; Kilgour, Jonathan; Graaf, Joep; Lim, Lyn; Molenaar, Inge; Bannert, Maria; Moore, Johanna; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Assignments that involve writing based on several texts are challenging to many learners. Formative feedback supporting learners in these tasks should be informed by the characteristics of evolving written product and by the characteristics of learning processes learners enacted while developing the product. However, formative feedback…
Descriptors: Artificial Intelligence, Essays, High Achievement, Writing Achievement
Haffenden, Chris; Fano, Elena; Malmsten, Martin; Börjeson, Love – College & Research Libraries, 2023
How can novel AI techniques be made and put to use in the library? Combining methods from data and library science, this article focuses on Natural Language Processing technologies, especially in national libraries. It explains how the National Library of Sweden's collections enabled the development of a new BERT language model for Swedish. It…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Languages
Lee, Alwyn Vwen Yen; Tan, Seng Chee; Teo, Chew Lee – Smart Learning Environments, 2023
Utilizing generative artificial intelligence, especially the more popularly used Generative Pre-trained Transformer (GPT) architecture, has made it possible to employ AI in ways that were previously not possible with conventional assessment and evaluation technologies for learning. As educational use cases and academic studies become increasingly…
Descriptors: Artificial Intelligence, Technology Integration, Sustainability, Knowledge Level
Barik, Kasturi; Watanabe, Katsumi; Bhattacharya, Joydeep; Saha, Goutam – Journal of Autism and Developmental Disorders, 2023
In this study, we aimed to find biomarkers of autism in young children. We recorded magnetoencephalography (MEG) in thirty children (4-7 years) with autism and thirty age, gender-matched controls while they were watching cartoons. We focused on characterizing neural oscillations by amplitude (power spectral density, PSD) and phase (preferred phase…
Descriptors: Autism Spectrum Disorders, Young Children, Measurement Techniques, Diagnostic Tests
Predicting Primary and Middle-School Students' Preferences for Online Learning with Machine Learning
V. Selvakumar; Tilak Pakki Venkata; Teja Pakki Venkata; Shubham Singh – South African Journal of Childhood Education, 2023
Background: The COVID-19 pandemic has brought attention to student psychological wellness. Because of isolation, lack of socialisation and intellectual and physical development from excessive media use, primary and secondary school students are at high risk for health problems. Aim: This study aimed to identify the most effective machine learning…
Descriptors: Elementary School Students, Middle School Students, Preferences, Online Courses
Lay Kee Ch'ng – Asian Journal of Distance Education, 2023
Artificial Intelligence (AI) has revolutionized various aspects of human activities, profoundly impacting the landscape of higher education, particularly in the domain of teaching and learning. This paper aims to discuss the topic of instructional design from both a human and technological perspective. A comparison between current learning methods…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Man Machine Systems
O¨zgu¨r Keles¸; Vincent Brubaker-Gianakos; Vimal Viswanathan; Farshid Marbouti – Journal of STEM Education: Innovations and Research, 2023
This paper describes the application of new Virtual Learning Environments (VLEs) in engineering education. It demonstrates how VLEs improve student learning in two engineering concepts compared with the traditional classroom setting. Literature has conflicting studies on both the advantages and disadvantages of learning in VLEs. The application of…
Descriptors: Educational Environment, Virtual Classrooms, Computer Simulation, Artificial Intelligence
Joshua Matthews; Catherine Rita Volpe – Australasian Journal of Educational Technology, 2023
Artificial intelligence (AI) technology, such as Chat Generative Pre-trained Transformer (ChatGPT), is evolving quickly and having a significant impact on the higher education sector. Although the impact of ChatGPT on academic integrity processes is a key concern, little is known about whether academics can reliably recognise texts that have been…
Descriptors: Artificial Intelligence, Natural Language Processing, Identification, Teacher Attitudes
Pinar Ayyildiz; Adem Yilmaz – Educational Policy Analysis and Strategic Research, 2023
In this study, in which artificial intelligence applications are examined at the K-12 level, the discussions are multi-dimensional. The use of artificial intelligence applications at the K-12 level, and especially the integrated use of online writing tools into the writing lessons, has led to the occurrence of plagiarism from time to time. In the…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Writing Instruction, Educational Technology
Uzeyir Ogurlu; Jesse Mossholder – Research in Social Sciences and Technology, 2023
ChatGPT was first released in November 2022, which has led to varying reactions among educators. Educators are one of the major stakeholders in the education system. As a result of this, educators' perceptions of ChatGPT are worth investigating to inform future policy decision-making. This study examined the perceptions of ChatGPT among educators…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Teacher Attitudes
McKenzie, Marcia; Gulson, Kalervo N. – Research in Education, 2023
This paper introduces the concept of infrastructure into discussions on climate change and education. We focus on the links between the increased use of digital data and the central role of data infrastructures in education, and the energy infrastructure needed to support their growing use in schools and school systems. We elaborate a need for a…
Descriptors: Data Use, Climate, Educational Administration, Governance
Nicole Vargas – ProQuest LLC, 2023
Artificial intelligence in education (AIED) is an exigent topic of concern across educational settings. While artificial intelligence (AI) is not new, integrating it into K-12 schools has created a mix of positive and negative perceptions regarding how to do so effectively. The purpose of this phenomenological study was to examine teachers'…
Descriptors: High School Teachers, Teacher Attitudes, Artificial Intelligence, Instructional Materials
Rosmansyah, Yusep; Putro, Budi Laksono; Putri, Atina; Utomo, Nur Budi; Suhardi – Interactive Learning Environments, 2023
In this article, smart learning environment (SLE) is defined as a hybrid learning system that provides learners and other stakeholders with a joyful learning process while achieving learning outcomes as a result of the employed intelligent tools and techniques. From literature study, existing SLE models and frameworks are difficult to understand…
Descriptors: Electronic Learning, Artificial Intelligence, Educational Technology, Technology Uses in Education

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