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Xue Zhou; Lilian Schofield – Journal of Learning Development in Higher Education, 2024
This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…
Descriptors: Artificial Intelligence, Technological Literacy, Technology Integration, Curriculum Development
Shiv K. Tripathi; Wolfgang C. Amann; Agat Stachowicz-Stanusch – International Society for Technology, Education, and Science, 2023
The effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Computer Oriented Programs
Michael Mehmet; Mary Papakosmas; Elias Kyriazis; Mona Nikidehaghani – Journal of Marketing Education, 2025
This study aims to examine how to integrate generative AI (GenAI) into marketing education. We used the transformation mechanism within boundary crossing theory to explore how marketing professional insights can be utilized to prepare students for industry demands in the GenAI era. We analyze industry content and GenAI courses alongside 26…
Descriptors: Marketing, Career Readiness, School Business Relationship, Education Work Relationship
Tapan Kumar Pradhan; Ajit Kumar – Center for Educational Policy Studies Journal, 2023
Many reputable academic journals have retracted research papers from Indian researchers because of plagiarism. The University Grant Commission, a representative organisation of the Indian government, is diligently endeavouring to ensure academic integrity by applying stringent guidelines. The present study aims to find the potential causes of the…
Descriptors: Foreign Countries, Doctoral Students, Plagiarism, Research Reports
Jan Delcker; Joana Heil; Dirk Ifenthaler – Educational Technology Research and Development, 2025
Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the…
Descriptors: Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge, Career and Technical Education Schools
Nurul Ashikin Izhar; Wendy Ven Ye Teh; Anita Adnan – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
Abbes Sebihi; Leonie Schoelen; Berthilde Uwamwezi – Discover Education, 2025
In the wake of the COVID-19 pandemic, which hastened the digitalization of education, the imperative to harness Artificial Intelligence (AI)'s potential has never been more pressing. While studies abound on the broader impact of technology in education, there remains a conspicuous gap in understanding its specific implications for African…
Descriptors: Higher Education, Online Surveys, Educational Trends, Trend Analysis
Md. Mahadhi Hasan; Anika Sikder; Rashed Mahmud – Language Teaching Research Quarterly, 2025
Some serious instances of plagiarism have been discussed in Bangladesh's institutions, where students, researchers, and even faculty members were given severe penalties. This study explores the factors influencing teachers of English at the tertiary level in Bangladesh regarding plagiarism, including emerging concerns around AI-based plagiarism. A…
Descriptors: Language Teachers, English (Second Language), Second Language Learning, Second Language Instruction
Jaeho Jeon; Seongyong Lee; Serafín M. Coronel-Molina – ELT Journal, 2024
Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Burhan Ozfidan; Dina Abdel Salam El-Dakhs; Lama Adel Alsalim – Contemporary Educational Technology, 2024
This study explores Saudi undergraduate students' perceptions of artificial intelligence (AI) tools in academic writing. Despite extensive research on AI in higher education, there is limited focus on academic writing, especially in the Saudi context. A survey of 189 students, proficient in English and enrolled in freshmen academic writing…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Grammar
Labrecque, Lauren I.; Markos, Ereni; Darmody, Aron – Journal of Marketing Education, 2021
Sophisticated technology advances are delivering new and powerful ways for marketers to collect and use consumer data. These data-driven marketing capabilities present a unique challenge for students, as they will soon be expected to manage consumer data and make business decisions based on ethical, legal, and fiscal considerations. This article…
Descriptors: Marketing, Advertising, Privacy, Comparative Analysis
Ruediger, Dylan; Cooper, Danielle Miriam – ITHAKA S+R, 2022
Quantitative literacy is an essential twenty-first century skill that universities are heavily invested in teaching to students. The social sciences play an important role in these efforts because they attract students who might otherwise avoid data and mathematically oriented courses and because they ground quantitative reasoning in political and…
Descriptors: Statistics Education, Undergraduate Students, Social Sciences, Teaching Methods
Tripken, Jennifer L. – Journal of Health Education Teaching, 2016
Purpose: The purpose of this study was to assess the educational efficacy of an online software decision-making program, The Values Exchange. While ethics is a vital aspect of educating public health professionals, it is both difficult to teach and assess. There is a need to identify best practices in the pedagogy of public health ethics and in…
Descriptors: Public Health, Ethics, Teaching Methods, Academic Achievement
Woszczynski, Amy B.; Green, Andrew – Journal of Information Systems Education, 2017
Cyber defense competitions (CDCs) simulate a real-world environment where the competitors must protect the information assets of a fictional organization. These competitions are becoming popular at the high school and college levels, as well as in industry and governmental settings. However, there is little research to date on the learning…
Descriptors: Outcomes of Education, Competition, Information Systems, National Security
OECD Publishing, 2014
The Programme for International Assessment of Adult Competencies (PIAAC) will establish technical standards and guidelines to ensure that the survey design and implementation processes of PIAAC yield high-quality and internationally comparable data. This document provides a revised version of the technical standards and guidelines originally…
Descriptors: Adults, International Assessment, Adult Literacy, Competence
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