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Laovisutthichai, Vikrom; Srihiran, Kaweekrai; Lu, Weisheng – Industry and Higher Education, 2023
Building information modeling (BIM) has been a disruptive development in the global architecture, engineering, construction and operations (AECO) industry. While architecture schools have sought to integrate BIM into their curricula, most current pedagogical approaches and lessons are derived from engineering and construction management…
Descriptors: Architectural Education, Case Studies, Creativity, Construction Industry
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Yamnitsky, Eugene – Innovations in Education and Teaching International, 2023
The doctoral journey is a complex endeavour, and like any complex project, deserves to be managed accordingly. Agile Project Management has been used successfully by practitioners in the Software industry for the last two decades and recently is being adopted in other industries, including in Higher Education. Based on the author's personal…
Descriptors: Doctoral Programs, Computer Software, Industry, Higher Education
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Zhu, Xin-Hua; Wu, Tian-Jun; Chen, Hong-Chao – Journal of Educational Computing Research, 2018
Based on the sharable content object concept of advanced distributed learning, an ontology-based intelligent content object (ICO) that can automatically reason and be reused is proposed. Then, by extending the advanced distributed learning or sharable content object reference model (SCORM) specification, an interoperable model for the ICO is…
Descriptors: Models, Intelligent Tutoring Systems, Computer Software, Multimedia Instruction
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Guinibert, Matthew – Australasian Journal of Educational Technology, 2020
Based on the presupposition that visual literacy skills are not usually learned unaided by osmosis, but require targeted learning support, this article explores how everyday encounters with visuals can be leveraged as contingent learning opportunities. The author proposes that a learner's environment can become a visual learning space if…
Descriptors: Visual Literacy, Telecommunications, Handheld Devices, Informal Education
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Mahowald, Kyle; Kachergis, George; Frank, Michael C. – First Language, 2020
Ambridge calls for exemplar-based accounts of language acquisition. Do modern neural networks such as transformers or word2vec -- which have been extremely successful in modern natural language processing (NLP) applications -- count? Although these models often have ample parametric complexity to store exemplars from their training data, they also…
Descriptors: Models, Language Processing, Computational Linguistics, Language Acquisition
Patience Stevens; David Plaut – Grantee Submission, 2020
The statistical structure of a given language likely drives our sensitivity to words' morphological structure. The current work begins to investigate to what degree morphological processing effects observed in visual word recognition can be attributed to statistical regularities between orthography and semantics in English, without any prior…
Descriptors: Reading Processes, Word Recognition, Semantics, Written Language
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Akilli, Mustafa – European Journal of Educational Sciences, 2021
This paper focuses on examining the effectiveness of three-dimensional (3D) computer models on student teachers' academic achievement, mental model construction, and spatial ability used in learning the "atomic models" topic in this study. The students were randomly assigned into two groups: the treatment group (TG) where 3D computer…
Descriptors: Computer Simulation, Nuclear Physics, Undergraduate Study, College Science
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Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
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Hayes, Laura E.; Traughber, Matthew C. – Language, Speech, and Hearing Services in Schools, 2021
Purpose: The purpose of this study was to further evaluate an eight-step partner instructional model developed by Kent-Walsh and McNaughton that has been demonstrated to improve implementation quality and fidelity among adults in clinical and educational settings who support the use of augmentative and alternative communication (AAC) for…
Descriptors: Feedback (Response), Teaching Methods, Models, Augmentative and Alternative Communication
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Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
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Daliri, Ayoub – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems…
Descriptors: Speech Communication, Psychomotor Skills, Prediction, Error Patterns
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Rahman, Anwar; Wibawa, Basuki; Sumantri, Syarif – Education Quarterly Reviews, 2022
Tourism development in Lampung province has been developing rapidly and the need for English communication skills at the tourism workplace is highly required due to a lot of visitors are foreigners. The state Polytechnic of Lampung has opened a new program study of tour and travel to support the government in the tourism sector and train students…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Tourism
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Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Valerie L. Mazzotti; Karrie Shogren; Jared Stewart-Ginsburg; Danielle Wysenski; Kathryn Burke; Lisa Hildebrandt – Grantee Submission, 2022
To promote and enhance self-determination, the Self-Determined Learning Model of Instruction (SDLMI) was developed for teachers to teach students the skills needed to engage in goal-directed actions. The SDLMI was originally designed to be delivered by teachers, but technologies are emerging that can provide an alternative medium to delivering…
Descriptors: Goal Orientation, Computer Software, Teaching Methods, Students with Disabilities
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