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Troussas, Christos; Giannakas, Filippos; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Interactive Learning Environments, 2023
Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…
Descriptors: Computer Assisted Instruction, Cognitive Style, Cooperative Learning, Models
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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
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
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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Kristin Herman; Patricia Davidson – International Journal of Designs for Learning, 2022
This design case documents the reimagination of new faculty orientation for a mid-sized public university due to the COVID-19 global pandemic. This fully virtual iteration was facilitated during the summer of 2020 and is compared both to previous in-person iterations of new faculty orientation as well as a blended modality version of the…
Descriptors: College Faculty, Teacher Orientation, Models, Distance Education
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Abdi, Solmaz; Khosravi, Hassan; Sadiq, Shazia; Gasevic, Dragan – International Educational Data Mining Society, 2019
The Elo rating system has been recognised as an effective method for modelling students and items within adaptive educational systems. The existing Elo-based models have the limiting assumption that items are only tagged with a single concept and are mainly studied in the context of adaptive testing systems. In this paper, we introduce a…
Descriptors: Models, Foreign Countries, College Students, Multivariate Analysis
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Christopher T. Jurgenson – Journal of Chemical Education, 2022
Structures of 10 proteins from the Protein Data Bank were 3D printed as part of an undergraduate biochemistry teaching laboratory. All structures were successfully printed in either a space filling surface representation or a cartoon representation that traces the Ca carbon atoms of each amino acid residue. All structures were printed using…
Descriptors: Printing, Models, Visualization, Biochemistry
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Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
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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
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Junokas, M. J.; Lindgren, R.; Kang, J.; Morphew, J. W. – Journal of Computer Assisted Learning, 2018
Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…
Descriptors: Nonverbal Communication, Multimedia Instruction, Computer Assisted Instruction, Data Analysis
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Sun, Susan Y. H. – Computer Assisted Language Learning, 2017
This exploratory review brings together research that investigates computer-assisted language learning (CALL), and research in the field of learning design, paying particular attention to the theoretical frameworks and approaches of "design for learning." The attempts of connecting the two fields stem from two critical foci and…
Descriptors: Computer Assisted Instruction, Second Language Learning, Models, Instructional Design
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Schlegelmilch, Bodo B. – Journal of Marketing Education, 2020
Business education is undergoing paradigmatic changes, and business schools are feeling the brunt of these changes. This article proposes that "business as usual" is over for traditional business schools. Using Ohmae's 3Cs--customers, competitors, and company--as an analytical framework, I examine important changes from different vantage…
Descriptors: Business Schools, Business Administration Education, Educational Change, Competition
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Alrawi, Khalid; Alrawi, Ahmed; Alrawi, Waleed – International Journal of Educational Administration and Policy Studies, 2012
Media is the combination of text, images, animations, digital library, which is now a standard part of most computer applications. Education media can be a great tool to improve teaching and learning. A growing number of educational institutions (EI) are developing a new learning culture, as they realize that getting an institution's learning…
Descriptors: Knowledge Management, Value Added Models, Electronic Learning, Models
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Kessler, Greg – CALICO Journal, 2013
This article expands upon themes addressed in the 2012 CALICO opening plenary that I delivered at the University of Notre Dame. This extended interpretation allows me the opportunity to further explore the nature of participatory human communication and collaboration and offer some clarification of the proposed instructional model for promoting…
Descriptors: Cooperative Learning, Second Language Learning, Personal Autonomy, Second Language Instruction
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Chan, Carol K. K. – Metacognition and Learning, 2012
This discussion paper for this special issue examines co-regulation of learning in computer-supported collaborative learning (CSCL) environments extending research on self-regulated learning in computer-based environments. The discussion employs a socio-cognitive perspective focusing on social and collective views of learning to examine how…
Descriptors: Discussion, Construct Validity, Validity, Metacognition
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Machet, Tania; Lowe, David; Gutl, Christian – European Journal of Engineering Education, 2012
This paper explores the hypothesis that embedding a laboratory activity into a virtual environment can provide a richer experimental context and hence improve the understanding of the relationship between a theoretical model and the real world, particularly in terms of the model's strengths and weaknesses. While an identified learning objective of…
Descriptors: Laboratory Experiments, Teaching Methods, Models, Theory Practice Relationship
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