Publication Date
| In 2026 | 0 |
| Since 2025 | 15 |
| Since 2022 (last 5 years) | 48 |
| Since 2017 (last 10 years) | 63 |
| Since 2007 (last 20 years) | 82 |
Descriptor
Source
Author
| Abdullahi Yusuf | 1 |
| Adriana Raquel Diaz | 1 |
| Aicha Bengueddach | 1 |
| Akinpelu A. Oyekunle | 1 |
| Al-Assaf, Yousef | 1 |
| Albasha, Lutfi | 1 |
| Algurén, Beatrix | 1 |
| Ali Kürsat Erümit | 1 |
| Allen, Claudia | 1 |
| Aloul, Fadi | 1 |
| Andrea Hicks | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 9 |
| Teachers | 6 |
| Researchers | 4 |
| Policymakers | 2 |
| Students | 2 |
| Administrators | 1 |
| Community | 1 |
| Counselors | 1 |
Location
| Canada | 5 |
| United States | 4 |
| Australia | 3 |
| Sweden | 2 |
| Turkey | 2 |
| Brazil | 1 |
| China | 1 |
| Cyprus | 1 |
| Ethiopia | 1 |
| Europe | 1 |
| European Union | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Minnesota Multiphasic… | 1 |
What Works Clearinghouse Rating
Bephyer Parey; Elisabeth Kutscher – Journal of Mixed Methods Research, 2024
Rigor evaluation in mixed methods research is a growing need. Linking rigor to Hong and Pluye's (2019) concepts of methodological and reporting quality, the purpose of this article is to operationalize and expand Harrison et al.'s (2020) Rigorous Mixed Methods Framework. Drawing from a systematic methodological review of 66 inclusive education…
Descriptors: Mixed Methods Research, Difficulty Level, Evaluation Methods, Research Design
Noelle Brown; Benjamin Xie; Ella Sarder; Casey Fiesler; Eliane S. Wiese – ACM Transactions on Computing Education, 2024
The computing education research community now has at least 40 years of published research on teaching ethics in higher education. To examine the state of our field, we present a systematic literature review of papers in the "Association for Computing Machinery" computing education venues that describe teaching ethics in higher-education…
Descriptors: Ethics, Computer Science Education, Higher Education, Teaching Methods
Shan Zhang; Priyadharshini Ganapathy Prasad; Noah L. Schroeder – Journal of Educational Computing Research, 2025
Given the ubiquity of artificial intelligence (AI), it is essential to empower students to become creators, designers, and producers of AI technologies, rather than limiting them to the role of informed consumers. To achieve this, learners need to be equipped with AI knowledge and concepts and develop AI literacy. Paradoxically, it is largely…
Descriptors: Artificial Intelligence, Technological Literacy, Teaching Methods, Instructional Materials
Lingxi Li; Jana Patricia M. Valdez; Yingqiao Du – International Journal of Child Care and Education Policy, 2025
Users of technology are becoming younger over the years. Although the current generation of young children is often referred to as "digital natives," this designation primarily reflects their intuitive engagement with digital tools rather than a comprehensive understanding of their responsible use. In contrast, fostering balanced,…
Descriptors: Citizenship Education, Early Childhood Education, Ethics, Information Security
Daniel Lupiya Mpolomoka – Pedagogical Research, 2025
Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…
Descriptors: Artificial Intelligence, Higher Education, Evaluation Methods, Literature Reviews
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Healy, Michael; Cochrane, Sandra; Grant, Paula; Basson, Marita – Education & Training, 2023
Purpose: Professional networks are conduits for career insight, vehicles for career exploration and incubators of professional identity. Accordingly, LinkedIn is a rich environment for university students' careers and employability learning. In this article, the authors review how the pedagogical use of LinkedIn has been conceived, implemented and…
Descriptors: Social Networks, Web Sites, Higher Education, Teaching Methods
Enes Küçük; Fidaye Cincil; Yasemin Karal – Journal of Theoretical Educational Science, 2025
AI technology, which is becoming more widespread day by day, also affects education and training processes. The use of AI tools in educational environments provides many benefits to teachers and students. However, the use of AI in education also raises some ethical concerns. The aim of this study was to reveal the ethical issues arising from the…
Descriptors: Ethics, Teaching Methods, Learning Analytics, Internet
Lucía Márquez; Valeria Henríquez; Henrique Chevreux; Eliana Scheihing; Julio Guerra – British Journal of Educational Technology, 2024
Learning analytics (LA) is an emerging area that has had extensive development in higher education in recent years, focused both on the learning process of students within subjects and on monitoring their trajectories in training programmes. However, most of the developments remain in the pilot phase without reaching institutional adoption. This…
Descriptors: Higher Education, Learning Analytics, Ethics, Leadership
Celeste Combrinck – Discover Education, 2024
The current article used real data to demonstrate the analysis and synthesis of Mixed Methods Research (MMR) data with generative Artificial Intelligence (Gen AI). I explore how reliable and valid Gen AI data outputs are and how to improve their use. The current content is geared towards enhancing methodological application regardless of field or…
Descriptors: Foreign Countries, College Freshmen, Engineering Education, Artificial Intelligence
Peng Zhang; Gemma Tur – European Journal of Education, 2024
This systematic review, adhering to the PRISMA framework, investigated the utilisation of ChatGPT, a language model developed by OpenAI, throughout Kindergarten to 12th grade (K-12) educational settings. The review synthesises findings from 13 selected papers, encompassing the strengths, weaknesses, opportunities, and threats (SWOT) analysis of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Kindergarten
Andrea Hicks; Wissam Kontar – Journal of Civil Engineering Education, 2024
Engineering programs must produce graduates who are able to consider multicriteria decisions including ethical implications during engineering practice. Teaching students in a meaningful manner to consider these multifaceted decisions was investigated through the usage of disasters and primary coverage of infrastructure disasters. Students…
Descriptors: Engineering Education, Emergency Programs, Natural Disasters, Ethics
Abdullahi Yusuf; Nasrin Pervin; Marcos Román-González; Norah Md Noor – Review of Education, 2024
Given the potential applications of generative AI (GenAI) in education and its rising interest in research, this systematic review mapped the thematic landscape of 407 publications indexed in the Web of Science, ScienceDirect and Scopus. Using EPPI Reviewer, publication type, educational level, disciplines, research areas and applications of GenAI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Elementary Secondary Education
Tatum, Holly E. – Journal of College and Character, 2022
In 1993, McCabe and Treviño published a seminal paper in which they proposed that honor codes reduced academic misconduct among college students. I review the research on honor codes that has emerged in the last 30 years. The extant body of literature demonstrates the efficacy of honor codes in creating and maintaining a culture of academic…
Descriptors: Integrity, Ethics, Standards, Cheating
Ali Kürsat Erümit; Rabia Özdemir Sarialioglu – Discover Education, 2025
There is increasing interest in the use of artificial intelligence technologies, which have become a transformative force in the field of education, in educational fields that include subject areas that support lifelong learning, such as science and chemistry education. In this study, a systematic review was conducted on the use and effects of…
Descriptors: Artificial Intelligence, Science Education, Chemistry, Interdisciplinary Approach

Peer reviewed
Direct link
