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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
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Ley, Tobias; Tammets, Kairit; Pishtari, Gerti; Chejara, Pankaj; Kasepalu, Reet; Khalil, Mohammad; Saar, Merike; Tuvi, Iiris; Väljataga, Terje; Wasson, Barbara – Journal of Computer Assisted Learning, 2023
Background: With increased use of artificial intelligence in the classroom, there is now a need to better understand the complementarity of intelligent learning technology and teachers to produce effective instruction. Objective: The paper reviews the current research on intelligent learning technology designed to make models of student learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Analytics, Instructional Effectiveness
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Meka N. McCammon; Katie Wolfe; Ruiqin Gao; Angela Starrett – Remedial and Special Education, 2025
Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…
Descriptors: Data Use, Decision Making, Preservice Teacher Education, Teacher Competencies
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Çelikbilek, Yakup; Adigüzel Tüylü, Ayse Nur – Interactive Learning Environments, 2022
Institutions and universities have started using e-learning systems to reach the potential students from all over the world by decreasing costs of investments. The speed of technological developments increases the importance of e-learning systems and their technology-based components. E-learning systems also decrease the costs of both institutions…
Descriptors: Electronic Learning, Technology Uses in Education, Distance Education, Artificial Intelligence
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Ahmad Samed Al-Adwan; Mutaz M. Al-Debei – Education and Information Technologies, 2024
The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…
Descriptors: Technology Uses in Education, Computer Simulation, Electronic Learning, Interaction
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Celbert M. Himang; Rosendo Cernias III; Ronnel Uraga Corbes; Mary Joy Modina Alicer; Benjie Colobong; Joy M. Olarte; Lanndon Ocampo; Miriam Fabroa Bongo; Rosein Ancheta Jr. – International Journal of Information and Communication Technology Education, 2023
The coronavirus disease (COVID-19) pandemic has threatened the capability of academic institutions to continuously deliver quality education despite the worldwide lockdown implemented to curb the transmission of the dreaded disease. As a result, institutions are forced to take advantage of supplementary digital technology to support online…
Descriptors: COVID-19, Pandemics, Educational Quality, Technology Uses in Education
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Umair Ali Khan; Janne Kauttonen; Lili Aunimo; Ari Alamäki – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The purpose of this paper is to address the challenges posed by disinformation in an educational context. The paper aims to review existing information assessment techniques, highlight their limitations, and propose a conceptual design for a multimodal, explainable information assessment system for higher education. The ultimate goal…
Descriptors: Artificial Intelligence, Higher Education, Trust (Psychology), Barriers
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Hongyu Liu; Young Chun Ko – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of the information age, the quality of physical education teaching in universities has become an important goal of teaching reform. Improving the quality of physical education and significantly improving students' physical fitness is one of the development goals of higher education. Therefore, this article proposes an…
Descriptors: Physical Education, Higher Education, Educational Quality, Educational Improvement
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Abboud, Maha; Rogalski, Janine – Canadian Journal of Science, Mathematics and Technology Education, 2021
This study addresses teachers' activity when working with digital technologies (DT) in their classrooms. We build upon a model that considers teaching as managing "open dynamic situations." Within the model, teachers' activity is viewed as diagnosing students' mathematical activity, managing uncertainties due to the characteristics of…
Descriptors: Teaching Methods, Models, Technology Uses in Education, Educational Technology
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Shelton, Chris – Journal of Computing in Higher Education, 2018
When university faculty and students use technology, they do so in a specific context and researchers have acknowledged that in order to understand use (or non-use) of technology in higher education they need to account for this. However, although the importance of context is not questioned, there is little consensus over which contexts are…
Descriptors: Ecology, Models, College Faculty, Teacher Attitudes
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van Halem, Nicolette; Cornelisz, Ilja; Daly, Alan; van Klaveren, Chris – International Journal of Research & Method in Education, 2023
In educational contexts where many domains subject to improvement are interdependent and causal evidence is frequently lacking it is difficult, if not impossible, for policymakers and educational practitioners to decide which domain should be invested in. This paper proposes a new method that uses Conditional Mean Independent Correlations (CMIC)…
Descriptors: Educational Improvement, Evaluation Methods, Decision Making, Growth Models
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Attaran, Mohsen; Stark, John; Stotler, Derek – Industry and Higher Education, 2018
Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. They rely on data analytics to accelerate time to insight and to gain a better understanding of their customers' needs and wants. However, big data and data analytics solutions in…
Descriptors: Models, Higher Education, Data Collection, Program Implementation
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Demir, Fatih; Kim, So Mi; Current, Neeley; Jahnke, Isa – Management in Education, 2019
The schools in the United States undergo reforms that involve the integration of data-intensive improvement process known as strategic improvement plans (SIPs). This process requires digital systems to set goals, create interventions, use and analyse student data, monitor and report SIPs. A challenge with digital systems is the integration of a…
Descriptors: Teaching Methods, Design, Teacher Administrator Relationship, Principals
Joseph, Isaiah A. – ProQuest LLC, 2018
The purpose of this qualitative phenomenological study was to explore how the post-adoption experiences of elementary school leaders influence their use of student achievement data in making educational decisions, after the implementation of a student information system (SIS). The participants consisted of K-5 elementary principals and assistant…
Descriptors: Qualitative Research, Phenomenology, Academic Achievement, Information Systems
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Gaševic, Dragan; Kovanovic, Vitomir; Joksimovic, Srecko – Learning: Research and Practice, 2017
The field of learning analytics was founded with the goal to harness vast amounts of data about learning collected by the extensive use of technology. After the early formation, the field has now entered the next phase of maturation with a growing community who has an evident impact on research, practice, policy, and decision-making. Although…
Descriptors: Educational Research, Data Analysis, Research and Development, Theory Practice Relationship
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