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Zhan, Peida – Educational Measurement: Issues and Practice, 2021
Refined tracking allows students and teachers to more accurately understand students' learning growth. To provide refined learning tracking with longitudinal diagnostic assessment, this article proposed a new model by incorporating probabilistic logic into longitudinal diagnostic modeling. Specifically, probabilistic attributes were used instead…
Descriptors: Educational Diagnosis, Learning Processes, Models, Student Evaluation
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Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…
Descriptors: Foreign Countries, Identification, Interaction, Learning Processes
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Zhang, Qian; Fiorella, Logan – Educational Psychologist, 2023
Errors are inevitable in most learning contexts, but under the right conditions, they can be beneficial for learning. Prior research indicates that generating and learning from errors can promote retention of knowledge, higher-level learning, and self-regulation. The present review proposes an integrated theoretical model to explain two major…
Descriptors: Models, Error Correction, Learning Processes, Feedback (Response)
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Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
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Ghudkam, Supachai; Chatwattana, Pinanta; Piriyasurawong, Pallop – Higher Education Studies, 2023
An imagineering learning model using advance organizers with the internet of things was developed to promote creative innovation for learners in the 21st century. It is an innovation initiated by integrating classroom learning and technology that connects with the internet of things. The objectives of this research were (1) to study and synthesize…
Descriptors: Advance Organizers, Models, Imagination, Problem Solving
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Zanellati, Andrea; Macauda, Anita; Panciroli, Chiara; Gabbrielli, Maurizio – Research on Education and Media, 2023
Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students' low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and we use decision trees as the classification…
Descriptors: Foreign Countries, Artificial Intelligence, Models, Algorithms
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Baidal-Bustamante, Eduardo; Mora, Cesar; Alvarez-Alvarado, Manuel S. – IEEE Transactions on Education, 2023
With the advancements in information and communications technologies, new teaching approaches arise. In this context, project-based learning (PBL) and science, technology, engineering, the arts, and mathematics model (STEAM) emerge as the most popular in the education field, attributed to their efficacy on students' learning capacity. This article…
Descriptors: Art Education, STEM Education, Active Learning, Student Projects
Laewoo Leo Kang – ProQuest LLC, 2022
My dissertation elucidates how art practice can be a useful and helpful model for learning, teaching, and conducting research for HCI and the broader STEM fields. It focuses on "improvisation", a fundamental strategy and skill often used in the broader genres of arts, including cool jazz and the avant-garde. To achieve this goal, this…
Descriptors: Man Machine Systems, Interaction, Models, Creative Activities
Rachel R. Tatro-Duarte – ProQuest LLC, 2022
Although virtual reality (VR) is commonly used in science classes, for example, to enable students to do simulated human dissections and other medical procedures, research on the use of VR as a learning tool in the humanities, more specifically the literature classroom, are few. This grounded theory study sought to understand better the use of VR…
Descriptors: Computer Simulation, Learner Engagement, Higher Education, Literature
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Ying-Lien Lin; Wei-Tsong Wang; Shih-Ying Kuang – Journal of Computer Assisted Learning, 2025
Background: Visual metaphors (VMs) have gained significant attention from cognitive linguists for their ability to help learners understand linguistic structure. However, few studies have explored how incorporating a VM-supported instructional design can help instructors elucidate the abstract concepts of the business model canvas (BMC) to enhance…
Descriptors: Figurative Language, Visual Aids, Visual Learning, Instructional Design
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Pace, David – Teaching & Learning Inquiry, 2021
Decoding the Disciplines has emerged as one of the foremost approaches to the scholarship of teaching and learning (SoTL) and is being used to increase learning across the globe. But it is often not recognized that the paradigm has undergone enormous changes since its appearance in 2004. The original model has been clarified and perfected, but…
Descriptors: Scholarship, Instruction, Learning, Models
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González-Eras, Alexandra; Dos Santos, Ricardo; Aguilar, Jose – International Journal of Artificial Intelligence in Education, 2023
Professional profiles are unstructured documents where the knowledge and experience of the editor predominate, presenting inconsistencies and ambiguities in terms of the competencies they contain, making complicated the recognition of knowledge and skills necessary for the proposal of university study programs. Also, the identification of…
Descriptors: Technological Literacy, Competence, Profiles, Evaluation Methods
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Peppler, Kylie; Davis-Soylu, Heidi J.; Dahn, Maggie – Arts Education Policy Review, 2023
Traditional reviews of arts education have focused on why the arts are valuable for learning, but the arts' contributions to cross-disciplinary discourse remain undertheorized. In this article, we provide a theoretical review of the arts and learning to suggest a new way of thinking about how the arts contribute to learning across disciplines…
Descriptors: Art Education, Learning Processes, Models, Interdisciplinary Approach
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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Xiong, Jiawei; Li, Feiming – Educational Measurement: Issues and Practice, 2023
Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…
Descriptors: Scoring, Models, Task Analysis, Learning Processes
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