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Uegatani, Yusuke; Otani, Hiroki – Mathematics Education Research Journal, 2021
The purpose of this paper is to propose a new ontology of reasons for inferentialism. The existing inferentialist approach to mathematics education has a methodological challenge in retrospective analysis and a noncollaborative issue stems from a narrow view of learning. The proposed ontology, built on a radical interpretation of the…
Descriptors: Mathematics Education, Inferences, Observation, Logical Thinking
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Nour Eddine El Fezazi; Smaili El Miloud; Ilham Oumaira; Mohamed Daoudi – Educational Process: International Journal, 2025
Background/purpose: Mobile learning (M-learning) has become a crucial component of higher education due to the increasing demand for flexible and adaptive learning environments. However, ensuring personalized and effective M-learning experiences remains a challenge. This study aims to enhance M-learning effectiveness by introducing an AI-driven…
Descriptors: Electronic Learning, Learning Management Systems, Instructional Effectiveness, Artificial Intelligence
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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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Kilbane, James F.; Clayton, Christine D. – Teachers and Teaching: Theory and Practice, 2023
In this study of 211 teacher work samples derived from a professional development programme, teachers' conceptualisations of student inquiry were revealed by examining the nature of perceived outcomes and the role of critical thinking that animated teachers' student inquiries collected over nine years. Using a schema adapted from the literature,…
Descriptors: Faculty Development, Teacher Attitudes, Inquiry, Critical Thinking
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Loughland, Tony; Bostwick, Keiko – Australian Educational Researcher, 2023
Clinical reflection with a focus on student impact is now a mandated attribute for graduate teachers across Australia via the capstone teacher performance assessment task. This policy move is forcing teacher educators to examine their programs to find space for activities that help pre-service teachers to develop the skills and dispositions…
Descriptors: Taxonomy, Clinical Experience, Preservice Teachers, Capstone Experiences
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Adijaya, Made Aryawan; Widiana, I Wayan; Agung Parwata, I Gusti Lanang; Suwela Antara, I Gede Wahyu – International Journal of Educational Methodology, 2023
The implementation of learning activities in schools has not provided opportunities or encouragement for students in developing their procedural knowledge. This research aimed to test the effectiveness of developing Bloom's Taxonomy revision-oriented learning activities to grade IV elementary learners' procedural knowledge capabilities and…
Descriptors: Taxonomy, Learning Activities, Elementary School Students, Grade 6
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Hatice Yildiz Durak; Nilüfer Atman Uslu – Interactive Learning Environments, 2023
The 3D game development process is significant in improving knowledge and skills, such as literacy of information technologies, computational, analytical, and algorithmic thinking, programming, and spatial abilities. Besides, the 3D game development is a difficult and complex learning process. Within this context, it was decided that teaching…
Descriptors: College Students, Visual Aids, Games, Gamification
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Kinarsky, Alana R.; Christie, Christina A. – American Journal of Evaluation, 2022
Since 2007, two taxonomies have been proposed to identify the components of evaluation practice that may be specified in an evaluation policy. Little is known, however, about how these taxonomies align with evaluation policies developed by philanthropic foundations. Through thematic analysis, this article first compares 12 foundation evaluation…
Descriptors: Taxonomy, Evaluation Methods, Philanthropic Foundations, Educational Policy
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Petruccelli, Marisa; Ramella, Leah; Schaefer, Ana J.; Sheldrick, R. Christopher; Carter, Alice S.; Eisenhower, Abbey; Broder-Fingert, Sarabeth; Mackie, Thomas I. – Journal of Autism and Developmental Disorders, 2022
The U.S. Preventive Services Task Force (USPSTF) report on screening for Autism Spectrum Disorder (ASD) highlighted the need for research that examines the harms potentially associated with screening so as to assess the overall net benefit of universal screening. In response, this study engages qualitative, semi-structured interviews to generate a…
Descriptors: Taxonomy, Risk, Autism, Pervasive Developmental Disorders
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Poole, Frederick J.; Clarke-Midura, Jody; Rasmussen, Melissa; Shehzad, Umar; Lee, Victor R. – Computer Science Education, 2022
There is a growing perception that computational thinking can be developed in unplugged environments. A recent trend among these unplugged approaches is the use of tabletop games. While there are many commercial tabletop games on the market that are promoted as teaching computer science and/or computational skills, little is known about how these…
Descriptors: Teaching Methods, Games, Computation, Thinking Skills
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Costa, Newarney Torrezão; de Almeida, Denis José; Oliveira, Gustavo Prado; Fernandes, Márcia Aparecida – International Journal of Distance Education Technologies, 2022
Personalized sequencing and recommendation of pedagogical actions in virtual learning environments are relevant aspects in promoting an effective learning process with computer-aided support. Hence, this work investigates the use of automated planning to sequence these actions according to student profiles. Actions are modeled to correspond to the…
Descriptors: Automation, Planning, Electronic Learning, Cognitive Processes
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Larsen, Tori M.; Endo, Bianca H.; Yee, Alexander T.; Do, Tony; Lo, Stanley M. – CBE - Life Sciences Education, 2022
Bloom's taxonomy is a classification of learning objectives originally developed for general educational purposes. The taxonomy was revised to expand beyond cognitive processes and to include knowledge types as an orthogonal dimension. As Bloom's taxonomy is a tool widely used in biology education by researchers and instructors, it is important to…
Descriptors: Taxonomy, Educational Objectives, Cognitive Processes, Verbs
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Sudirtha, I Gede; Widiana, I Wayan; Adijaya, Made Aryawan – Journal of Education and e-Learning Research, 2022
Learning activities carried out in schools today lack innovative and varied approaches. There are few learning activities that can help develop students' meta cognitive abilities. Meta cognitive abilities are important for students to realize their weaknesses and strengths in studying and utilizing learning materials. This study analyses the…
Descriptors: Metacognition, Cognitive Ability, Grade 4, Elementary School Students
Christopher Cleveland; Jessica Markham – Annenberg Institute for School Reform at Brown University, 2024
Students with disabilities represent 15% of U.S. public school students. Individualized Education Programs (IEPs) inform how students with disabilities experience education. Very little is known about the aspects of IEPs as they are historically paper-based forms. In this study, we develop a coding taxonomy to categorize IEP goals into 10 subjects…
Descriptors: Individualized Education Programs, Special Needs Students, Special Education, Taxonomy
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Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
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