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Edwin Chng – Journal of Science Education and Technology, 2024
With teachers continuing to report challenges in classroom management and difficulties in implementing scientific inquiry, the current manner in which science practical work is conducted in schools suggests the need for added teacher support. In this regard, we can leverage computer vision to provide instructional support by relieving teachers of…
Descriptors: Artificial Intelligence, Science Education, Computer Uses in Education, Science Teachers
Pan, Yiqin; Wollack, James A. – Journal of Educational Measurement, 2021
As technologies have been improved, item preknowledge has become a common concern in the test security area. The present study proposes an unsupervised-learning-based approach to detect compromised items. The unsupervised-learning-based compromised item detection approach contains three steps: (1) classify responses of each examinee as either…
Descriptors: Test Items, Cheating, Artificial Intelligence, Identification
Pekrun, Reinhard – British Journal of Educational Psychology, 2023
Background and Aims: Traditionally, research in educational psychology has neglected the physiological foundations of motivation, emotion, engagement, and learning. Recent studies have made substantial progress to more fully consider physiological processes, as documented in the contributions to this special issue. In this commentary, I summarize…
Descriptors: Higher Education, Artificial Intelligence, Publications, Researchers
Elkhatat, Ahmed M. – International Journal for Educational Integrity, 2023
Academic plagiarism is a pressing concern in educational institutions. With the emergence of artificial intelligence (AI) chatbots, like ChatGPT, potential risks related to cheating and plagiarism have increased. This study aims to investigate the authenticity capabilities of ChatGPT models 3.5 and 4 in generating novel, coherent, and accurate…
Descriptors: Artificial Intelligence, Plagiarism, Integrity, Models
De Ruyck, Olivia; Conradie, Peter; Van Hove, Stephanie; All, Anissa; Baccarne, Bastiaan; De Marez, Lieven; Saldien, Jelle – International Journal of Technology and Design Education, 2023
Interactions between humans and smart products (i.e. digital components integrated in physical Internet of Things devices) are becoming more complex and less visible. Yet designers lack tools to capture these interactions and incorporate them into their design. In this paper we present the Human-Computer-Context Interaction (HCCI) tool that helps…
Descriptors: Man Machine Systems, Industrial Arts, Design, Internet
Crescenzi-Lanna, Lucrezia – Journal of Research on Technology in Education, 2023
This paper presents a systematic literature review of artificial intelligence (AI)-supported teaching and learning in early childhood. The focus is on human-machine cooperation in education. International evidence and associated problems with the reciprocal contributions of humans and machines are presented and discussed, as well as future…
Descriptors: Artificial Intelligence, Programming, Educational Technology, Man Machine Systems
Amane, Meryem; Aissaoui, Karima; Berrada, Mohammed – International Journal of Information and Learning Technology, 2023
Purpose: Together, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience. Design/methodology/approach: The development of LOs and…
Descriptors: Electronic Learning, Resource Units, Metadata, Algorithms
Francisco Tigre Moura; Chiara Castrucci; Clare Hindley – Journal of Creative Behavior, 2023
This paper presents a study analyzing the perception of artistic products created by or with the support of artificial intelligence (AI). The research builds on previous studies revealing that the output of artificial creativity processes can indeed rival human-made products, satisfy consumer expectations, and derive enjoyment. However, in…
Descriptors: Creativity, Artificial Intelligence, Art, Automation
Hanxiang Du; Wanli Xing; Bo Pei – Interactive Learning Environments, 2023
Participating in online communities has significant benefits to students learning in terms of students' motivation, persistence, and learning outcomes. However, maintaining and supporting online learning communities is very challenging and requires tremendous work. Automatic support is desirable in this situation. The purpose of this work is to…
Descriptors: Electronic Learning, Communities of Practice, Automation, Artificial Intelligence
Ragheb Al-Ghezi; Katja Voskoboinik; Yaroslav Getman; Anna Von Zansen; Heini Kallio; Mikko Kurimo; Ari Huhta; Raili Hildén – Language Assessment Quarterly, 2023
The development of automated systems for evaluating spontaneous speech is desirable for L2 learning, as it can be used as a facilitating tool for self-regulated learning, language proficiency assessment, and teacher training programs. However, languages with fewer learners face challenges due to the scarcity of training data. Recent advancements…
Descriptors: Speech Tests, Automation, Artificial Intelligence, Finno Ugric Languages
Knochel, Aaron D. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2023
With the release of artificial intelligence image-generation platforms to the broader public in 2022, there is an opportunity to evaluate how image-making practices may change and speculate how graphic design software, such as Photoshop, may evolve. Using a methodology of assemblage, a relational study of Photoshop and Midjourney is gathered to…
Descriptors: Art Education, Artificial Intelligence, Visual Aids, Computer Software
Cherner, Todd; Fegely, Alex; Hou, Chenyu; Halpin, Peter – Journal of Interactive Learning Research, 2023
Skilled orators and their public speaking skills have been held in high esteem since antiquity. Artificial intelligence-powered presentation platforms (AI-PPPs) are an emerging educational technology that provides a virtual venue and AI audience for users to practice a presentation or pitch and receive feedback to improve their public speaking…
Descriptors: Artificial Intelligence, Teaching Methods, Public Speaking, Educational Technology
Blaizot, Aymeric; Veettil, Sajesh K.; Saidoung, Pantakarn; Moreno-Garcia, Carlos Francisco; Wiratunga, Nirmalie; Aceves-Martins, Magaly; Lai, Nai Ming; Chaiyakunapruk, Nathorn – Research Synthesis Methods, 2022
The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the reported benefits and challenges in using such methods. A search was conducted in 4 databases…
Descriptors: Artificial Intelligence, Literature Reviews, Databases, Data Analysis
Holmes, Wayne; Porayska-Pomsta, Kaska; Holstein, Ken; Sutherland, Emma; Baker, Toby; Shum, Simon Buckingham; Santos, Olga C.; Rodrigo, Mercedes T.; Cukurova, Mutlu; Bittencourt, Ig Ibert; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2022
While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Educational Research
Nilashi, Mehrbakhsh; Abumalloh, Rabab Ali; Zibarzani, Masoumeh; Samad, Sarminah; Zogaan, Waleed Abdu; Ismail, Muhammed Yousoof; Mohd, Saidatulakmal; Akib, Noor Adelyna Mohammed – Education and Information Technologies, 2022
Learners' satisfaction with Massive Open Online Courses (MOOCs) has been evaluated through quantitative approaches focusing on survey-based methods in several studies. User-Generated Content (UGC) has been an effective approach to assess users' interactions with e-learning systems. Other than survey-based methods, the UGC generated from MOOCs…
Descriptors: Student Satisfaction, MOOCs, Data Analysis, Data Collection