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Fabricio Trujillo; Marcelo Pozo; Gabriela Suntaxi – Journal of Technology and Science Education, 2025
This paper presents a systematic literature review of using Machine Learning (ML) techniques in higher education career recommendation. Despite the growing interest in leveraging Artificial Intelligence (AI) for personalized academic guidance, no previous reviews have synthesized the diverse methodologies in this field. Following the Kitchenham…
Descriptors: Artificial Intelligence, Higher Education, Career Guidance, Models
Todd Cherner; Teresa S. Foulger; Margaret Donnelly – TechTrends: Linking Research and Practice to Improve Learning, 2025
The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…
Descriptors: Artificial Intelligence, Natural Language Processing, Decision Making, Models
Jorge López González; Verónica Fernández Espinosa; Salvador Ortiz de Montellano – Journal of Moral Education, 2024
This article presents a theoretical justification and a proposal that seeks to educate university students in leadership through virtues and personal competencies. A distinction is offered between virtues and competencies without opposing them. Subsequently, a leadership education model based on virtues and personal competencies is offered. This…
Descriptors: Ethics, Models, Leadership Training, College Students
Kaili Lu; Jianrong Zhu; Feng Pang; Rustam Shadiev – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) has brought about significant changes in our lives, making AI literacy a crucial endeavor for the future. Despite its growing importance in academia, there is limited empirical research on its impact on college students' higher order thinking skills (HOTS). The present study systematically and comprehensively explores…
Descriptors: College Students, Artificial Intelligence, Digital Literacy, Thinking Skills
Allyson Skene; Laura Winer; Erika Kustra – International Journal for Academic Development, 2024
This article explores potential uses, misuses, beneficiaries, and tensions of learning analytics in higher education. While those promoting and using learning analytics generally agree that ethical practice is imperative, and student privacy and rights are important, navigating the complex maze of ethical dilemmas can be challenging, particularly…
Descriptors: Learning Analytics, Higher Education, Ethics, Privacy
Lieke Van Stekelenburg; Chris Smerecnik; Wouter Sanderse; Doret J. De Ruyter – Journal of Academic Ethics, 2025
In this empirical study, we investigate "what" and "how" teachers in Dutch universities of applied sciences (UAS) think they contribute to the development of students' ethical compasses. Six focus groups were conducted with teachers across three programmes: Initial Teaching Education, Business Services, and Information and…
Descriptors: Foreign Countries, Teacher Role, Teacher Attitudes, Ethics
Yihe Yang; Antonio Jimenez-Luque – New Directions for Student Leadership, 2025
This article presents the Leadership Tree Model, a metaphorical and conceptual framework for transformative leadership development in higher education. Rooted in critical pedagogy and social justice, the model encourages educators to create inclusive, reflective, and action-oriented learning environments. It positions leadership as a relational…
Descriptors: Transformational Leadership, Leadership Training, Models, Higher Education
Fendler, Richard J.; Yates, Michael C.; Godbey, Jonathan M. – Journal of Instructional Pedagogies, 2023
This research utilizes a unique, validated, multiple-choice exam design that allows researchers to observe and measure the degree to which students copy answers from their peers. Using data collected from the exam, this study investigates whether asking students to sign an honor code at the start of the exam reduced instances of cheating relative…
Descriptors: Cheating, Prevention, Multiple Choice Tests, Ethics
Ira Geraldina; Julia Safitri; Paulina Pannen; Eka Julianti – Turkish Online Journal of Distance Education, 2025
This paper proposes a governance model framework for online learning marketplaces in Indonesia. This research uses a case study approach to explore a model that is adequate and suitable to be applied in the context of the Indonesia Cyber Education Institute, which was initiated by Universitas Terbuka, Indonesia. The proposed model was prepared…
Descriptors: Foreign Countries, Governance, Online Courses, Educational Technology
Becky Tugman; Lauren E. Stephens; Taimi Olsen; Alfred E. Bundrick – To Improve the Academy, 2025
Peer observation of teaching (PoT) is a recognized evaluation tool. However, faculty concerns persist regarding bias, beneficial feedback, and lack of peer observer training. While faculty desire to provide quality and equitable reviews, many higher education faculty peers have little expertise in conducting observations and evaluations. This…
Descriptors: Peer Evaluation, Faculty Development, Formative Evaluation, Summative Evaluation
Ehren Helmut Pflugfelder; Joshua Reeves – Journal of Technical Writing and Communication, 2024
The use of generative artificial intelligence (GAI) large language models has increased in both professional and classroom technical writing settings. One common response to student use of GAI is to increase surveillance, incorporating plagiarism detection services or banning certain composing activities from the classroom. This paper argues such…
Descriptors: Technical Writing, Artificial Intelligence, Supervision, Teaching Methods
Jamie Magrill; Barry Magrill – Teaching & Learning Inquiry, 2024
The rapid advancement of artificial intelligence technologies, exemplified by systems including Open AI's ChatGPT, Microsoft's Bing AI, and Google's Bard (now Gemini 1.5Pro), present both challenges and opportunities for the academic world. Higher education institutions are at the forefront of preparing students for this evolving landscape. This…
Descriptors: Higher Education, Artificial Intelligence, Technological Advancement, Technology Integration
Michael Agyemang Adarkwah – Adult Learning, 2025
Adult learners are a neglected species in the generative artificial intelligence (GenAI) era. The sweeping changes brought by GenAI in the educational arena have implications for adult learning. GenAI in education will usher in a world of adult learning that will be radically different from its predecessor. However, how adult learners will apply…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Adult Learning
Elizabeth Langran; Paula Cristina R. Azevedo; Oliver Dreon; Stephanie Smith Budhai; Clara Hauth – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay presents a framework of critical questions designed to guide EdD program leaders and faculty in integrating generative artificial intelligence (GenAI) into their curricula and policies. The REPAC framework aids in reflecting, reenvisioning, and redesigning educational practices to better incorporate GenAI, focusing on how candidates…
Descriptors: Doctoral Programs, Education Majors, Artificial Intelligence, Natural Language Processing
Kaliisa, Rogers; Kluge, Anders; Mørch, Anders I. – Scandinavian Journal of Educational Research, 2022
Learning analytics (LA) is a fast-growing field but adoption by teachers remain limited. This paper presents the results of a review of 18 LA frameworks and discusses how they have tried to address prominent challenges in LA adoption. The results show that researchers have made significant advances in developing appropriate frameworks to…
Descriptors: Learning Analytics, Models, Adoption (Ideas), Learning Theories