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Päivi Kousa; Hannele Niemi – Interactive Learning Environments, 2023
The aim of this study is to identify the ethical challenges, solutions and needs of educational technology (EdTech) companies. Qualitative data was collected in interviews with seven experts from four companies, and the data was analysed using inductive content analysis. The four main areas of challenges were ambiguous regulations, inequalities in…
Descriptors: Ethics, Artificial Intelligence, Educational Technology, Social Responsibility
Oravec, Jo Ann – Journal of Interactive Learning Research, 2023
Cheating is a growing academic and ethical concern in higher education. The technological "arms race" that involves cheating-detection system developers versus technology-savvy students is attracting increased attention to cheating issues; it is also generating iterations of technological innovations as corporations, higher educational…
Descriptors: Artificial Intelligence, Cheating, Educational Technology, Ethics
Ben Babcock; Kim Brunnert – Journal of Applied Testing Technology, 2023
Automatic Item Generation (AIG) is an extremely useful tool to construct many high-quality exam items more efficiently than traditional item writing methods. A large pool of items, however, presents challenges like identifying a particular item to meet a specific need. For example, when making a fixed form exam, best practices forbid item stems…
Descriptors: Test Items, Automation, Algorithms, Artificial Intelligence
Karwowski, Maciej; Czerwonka, Marta; Wisniewska, Ewa; Forthmann, Boris – Journal of Intelligence, 2021
This paper presents a meta-analysis of the links between intelligence test scores and creative achievement. A three-level meta-analysis of 117 correlation coefficients from 30 studies found a correlation of r = 0.16 (95% CI: 0.12, 0.19), closely mirroring previous meta-analytic findings. The estimated effects were stronger for overall creative…
Descriptors: Intelligence Tests, Creativity, Meta Analysis, Academic Achievement
Ronzio, Luca; Campagner, Andrea; Cabitza, Federico; Gensini, Gian Franco – Journal of Intelligence, 2021
Medical errors have a huge impact on clinical practice in terms of economic and human costs. As a result, technology-based solutions, such as those grounded in artificial intelligence (AI) or collective intelligence (CI), have attracted increasing interest as a means of reducing error rates and their impacts. Previous studies have shown that a…
Descriptors: Medicine, Equipment, Clinical Diagnosis, Medical Services
Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
Jorge Valenzuela – Corwin, 2025
Imagine not only helping kids reach their potential academically, but as citizens in society as well. In this updated edition of Jorge Valenzuela's book, you will learn how! Take project-based learning (PBL)--in which students develop educational skills like research, critical thinking, and teamwork--to the next level by enhancing it with personal…
Descriptors: Student Projects, Active Learning, Evidence Based Practice, Program Implementation
Tomáš Foltýnek; Philip M. Newton – Journal of Academic Ethics, 2026
This study investigates how YouTube videos are advising university students to use ChatGPT, focusing on two main aspects: bypassing detection tools for AI-generated text in written assignments and leveraging ChatGPT as a study tool, using thematic analysis of transcripts from 173 YouTube videos. Videos promoting the bypass of AI-generated text…
Descriptors: Video Technology, Web Sites, Social Media, Ethics
Chia-Shin Lin – Journal of Educational Computing Research, 2026
As artificial intelligence (AI) becomes increasingly integrated into higher education, particularly in creative disciplines, the role of AI turns into a co-creative partner. This study investigates the impact of AI-relevant training on media and communication students in Taiwan, focusing on the development of AI literacy, self-efficacy,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, College Students
Al Shehhi, Maryam; Alzouebi, Khadeegha; Ankit, Ahmed – Journal of Applied Research in Higher Education, 2021
Purpose: At this juncture, one needs to analyze the problem statement and the purpose of this article. It is an undeniable fact that the schools are no longer classroom-oriented teaching but demands a higher level of teaching that will help students enhance their maximum potential. Having instructional based knowledge, knowledge of policies both…
Descriptors: Emotional Intelligence, Principals, Educational Environment, Public Schools
Stephen J. Lind – Journal of Workplace Learning, 2025
Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…
Descriptors: Job Training, Trainees, Artificial Intelligence, Video Technology
Elif Ozturk – Journal of Education in Science, Environment and Health, 2025
This study examines the pedagogical, ethical, and political dimensions of artificial intelligence (AI) in early childhood STEM education from a theoretical perspective. As digital technologies become increasingly prevalent in education, AI applications offer significant opportunities in areas such as personalized learning experiences, game-based…
Descriptors: Early Childhood Education, STEM Education, Artificial Intelligence, Game Based Learning
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Hongfeng Zhang; Fanbo Li; Xiaolong Chen – Journal of Educational Computing Research, 2025
This study addresses the gap in understanding graduate students' sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and Theory of Reasoned Action (TRA) into a comprehensive embedding model. It introduces the Technology…
Descriptors: Graduate Students, Artificial Intelligence, Learner Engagement, Foreign Countries
Swarupa Asish Dash; S. Vijayakumar Bharathi – Journal of Educators Online, 2025
In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…
Descriptors: Artificial Intelligence, Business Education, Digital Literacy, Critical Thinking

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