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Peer reviewed
Download full textMordechai Gordon – Philosophical Inquiry in Education, 2025
This paper explores some of the perils to American democracy in the age of the Internet, social media, and the filtered bubbles that its citizens inhabit. I open my analysis by revisiting the myth of the Tower of Babel in order to reflect on the insights that can be gleaned for the present state of disinformation. Then I turn to an examination of…
Descriptors: Democracy, Internet, Social Media, Misinformation
Direct linkNadi Suprapto; Nurhasan; Roy Martin Simamora; Ali Mursid; M. Arif Al Ardha – Journal of Academic Ethics, 2025
This study analyzes predominant themes and disciplinary and methodological trends in academic integrity and misconduct research. It utilizes bibliometric analysis to explore prevalent themes and interdisciplinary intersections within discussions based on Scopus metadata. R Studio, which uses "biblioshiny" software, is employed to…
Descriptors: Cheating, Plagiarism, Artificial Intelligence, Integrity
Karen Paullet; Jamie Pinchot; Evan Kinney; Tyler Stewart – Information Systems Education Journal, 2025
Generative AI tools such as ChatGPT are now in widespread use and are often utilized by students to help in creating writing assignments intended to be written entirely by the student. This has spurred the need for AI detection tools such as GPTZero. This study sought to determine the accuracy of GPTZero's AI detection in identifying whether…
Descriptors: Artificial Intelligence, Writing Assignments, Deception, Program Effectiveness
Flaviu A. Hodis; Georgeta M. Hodis – Asia Pacific Education Review, 2025
Research findings indicate that two types of goals, which focus on the lowest (highest) levels of achievement possible in a learning setting, are strong predictors of how well students attain in school. Unfortunately, little is known about how these two goals, termed minimal boundary goals (MBG) and maximal levels of aspiration (MLA) relate to…
Descriptors: Secondary School Students, Achievement Need, Goal Orientation, Intelligence
Segun O. Olatinwo; Carrie Demmans Epp – International Journal of Artificial Intelligence in Education, 2025
Online question answering sites, such as Stack Overflow (SO), have become an important learning and support platform for computer-science learners and practitioners who are seeking help. Learners on SO are currently faced with the problem of unanswered questions, inhibiting their lifelong-learning efforts and contributing to delays in their…
Descriptors: Computer Science, Computer Software, Metadata, Artificial Intelligence
Sternberg, Robert J.; Karami, Sareh – Journal of Intelligence, 2021
This article introduces a 6P framework for understanding intelligence, as well as the theories and tests that are derived from it. The 6Ps in the framework are purpose, press, problems, persons, processes, and products underlying intelligence. Each of the 6Ps is considered in turn. We argue that although the purpose of intelligence is culturally…
Descriptors: Intelligence, Theories, Models, Intelligence Tests
Tianjiao Zhao; Jiayi Jia; Tianfei Zhu; Junyu Yang – International Journal of Technology and Design Education, 2024
Designers are always pursuing design with suitable emotions. Effective emotional fusion not only produces a good user experience but also extends the product lifecycle. The decoding of design emotion and the use of design emotion language should run through the entire design process. In this study, we propose a new emotion-embedded design flow…
Descriptors: Psychological Patterns, Design, Artificial Intelligence, Databases
Sternberg, Robert J.; Chowkase, Aakash; Parra-Martinez, Fabio Andres; Landy, Jenna – Journal of Intelligence, 2022
Criterion-referenced testing is usually applied to the assessment of achievement. In this article, we suggest how it can also be applied to the assessment of adaptive intelligence, that is, intelligence as adaptation to the environment. In the era of the Anthropocene, we argue that adaptive intelligence is what is most important not only for…
Descriptors: Criterion Referenced Tests, Intelligence Tests, Intelligence, Intelligence Quotient
Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
Julie Lounds Taylor; Virginia Sullivan; Somer L. Bishop; Shuting Zheng; Ryan E. Adams – Journal of Autism and Developmental Disorders, 2025
Purpose: Social experiences are consistently associated with psychological health among autistic individuals. However, most extant studies on this topic exclude individuals with autism who have lower IQ or are otherwise unable to self-report. The current study addresses this gap by examining associations of negative peer experiences and social…
Descriptors: Social Experience, Interpersonal Competence, Mental Health, Psychological Patterns
Robson Gonçalves Fechine Feitosa; Gustavo Augusto Lima de Campos; Ismayle de Sousa Santos; Carlos Hairon Ribeiro Gonçalves; Antônio de Barros Serra; Alisson Romão de Oliveira; Pedro Lucas Pereira Feitosa; Yuri David Santos; Esdras Lins Bispo Jr.; Guilherme Álvaro Rodrigues Maia Esmeraldo – International Journal of Artificial Intelligence in Education, 2025
Many existing solutions for the automatic assessment of open-ended questions predominantly rely on machine learning models, primarily focusing on aspects such as writing style and assigning a final score. However, these solutions often overlook the crucial factor of feedback content relevance, specifically, how well the response aligns with the…
Descriptors: Competency Based Education, Skill Development, Artificial Intelligence, Feedback (Response)
Cecilia Ka Yuk Chan – Education and Information Technologies, 2025
This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…
Descriptors: Higher Education, College Students, Artificial Intelligence, Plagiarism
Anselm Böhmer; Illie Isso; Ilayda Özcan; Dilara Orhan – International Research and Review, 2025
Given the pervasive influence of generative artificial intelligence (GenAI) platforms, educators are increasingly confronted with novel challenges, particularly in the context of Globally Networked Learning (GNL) and navigating its concomitant cultural perspectives. Consequently, a salient question confronting international higher education is how…
Descriptors: Artificial Intelligence, Global Approach, Networks, Educational Environment
Bahar Memarian; Tenzin Doleck – Education and Information Technologies, 2025
Research has paid less attention to the formalization of education from a systems theory and control perspective, rather than a mere algorithmic one. In this work, the underpinnings of system theory and control are provided, along with a review of their application in education. The review of studies in databases found only seven articles that…
Descriptors: Educational Research, Educational Practices, Systems Approach, Research Problems
Cansu Cigdem Ekin; Ömer Faruk Cantekin; Elif Polat; Sinan Hopcan – Education and Information Technologies, 2025
Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main…
Descriptors: Artificial Intelligence, Computer Uses in Education, Educational Trends, Educational Research
