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Showing 1 to 15 of 70 results Save | Export
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Nesrine Mansouri; Mourad Abed; Makram Soui – Education and Information Technologies, 2024
Selecting undergraduate majors or specializations is a crucial decision for students since it considerably impacts their educational and career paths. Moreover, their decisions should match their academic background, interests, and goals to pursue their passions and discover various career paths with motivation. However, such a decision remains…
Descriptors: Undergraduate Students, Decision Making, Majors (Students), Specialization
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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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Moro, Christian; Mills, Kathy A.; Phelps, Charlotte; Birt, James – International Journal of Educational Technology in Higher Education, 2023
Educational institutions are increasingly investing into digital delivery, acquiring new devices, and employing novel software and services. The rising costs associated with maintenance, in combination with increasing redundancy of older technologies, presents multiple challenges. While lesson content itself may not have changed, the educational…
Descriptors: Sustainability, Educational Technology, Blended Learning, Intervention
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Du, Yunfei; Gao, Han – Education and Information Technologies, 2022
Artificial Intelligence (AI) has been exerting a revolutionary and profound impact on the teaching of English as Foreign Language (EFL) for decades. In spite of these acknowledged advances, teachers have numerous reservations and objections against the adoption of AI-based applications. In order to facilitate the proper use and produce an…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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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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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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Kumar, Vivekanandan; Ally, Mohamed; Tsinakos, Avgoustos; Norman, Helmi – Canadian Journal of Learning and Technology, 2022
Over the past decade, opportunities for online learning have dramatically increased. Learners around the world now have digital access to a wide array of corporate trainings, certifications, comprehensive academic degree programs, and other educational and training options. Some organizations are blending traditional instruction methods with…
Descriptors: Electronic Learning, Cognitive Processes, Artificial Intelligence, Educational Technology
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Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
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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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Villatoro Moral, Sofía; De-Benito Crosseti, Barbara – Journal of Interactive Media in Education, 2022
The way we learn is changing, and this requires seeking learner-centred pedagogical strategies. Based on this idea, this paper is about the process of construction and validation of a pedagogical model approach based on the perspectives of co-design, learning pathways and self-regulated learning. Through a process of Design Based Research,…
Descriptors: Metacognition, Instructional Design, Student Centered Learning, Teaching Methods
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Lansing, Jill – Journal of Educational Technology Systems, 2017
The expansion and diversification of postsecondary education in the United States has led to greater options for students and prospective students for pursuing a college degree. With the roll out and scale up of sophisticated education technology systems, an important trend in higher education today is distance education. Despite the growing…
Descriptors: Models, College Choice, Distance Education, Postsecondary Education
Gersch, Carolyn – ProQuest LLC, 2017
Although faculty members are the front line adopters of technology in education, some appear to be unhurried to accept and use technology as part of their curriculum to meet institutional and student demands. The problem was that there was not a complete understanding of how faculty members made decisions on whether or not to implement new…
Descriptors: College Faculty, Teacher Attitudes, Decision Making, Correlation
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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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Jeong, Hye In; Kim, Yeolib – Interactive Learning Environments, 2017
This study investigated kindergarten teachers' decision-making process regarding the acceptance of computer technology. We incorporated the Technology Acceptance Model framework, in addition to computer self-efficacy, subjective norm, and personal innovativeness in education technology as external variables. The data were obtained from 160…
Descriptors: Teacher Attitudes, Technological Literacy, Self Efficacy, Guidelines
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Lin, Teng-Chiao; Ho, Hui-Ping; Chang, Ching-Ter – Journal of Educational Computing Research, 2014
With the widespread use of the Internet, adopting e-learning systems in courses has gradually become more and more important in universities in Taiwan. However, because of limitations of teachers' time, selecting suitable online IT tools has become very important. This study proposes an analytic hierarchy process (AHP)-multi-choice goal…
Descriptors: Foreign Countries, Electronic Learning, Information Technology, Evaluation Methods
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