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Showing 1 to 15 of 20 results Save | Export
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Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
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Johnson, Tamar; Siegelman, Noam; Arnon, Inbal – Cognitive Science, 2020
Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non-structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of…
Descriptors: Individual Differences, Cognitive Ability, Learning Processes, Language Acquisition
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Babineau, Mireille; Havron, Naomi; Dautriche, Isabelle; de Carvalho, Alex; Christophe, Anne – Language Acquisition: A Journal of Developmental Linguistics, 2023
Young children can exploit the syntactic context of a novel word to narrow down its probable meaning. This is "syntactic bootstrapping." A learner that uses syntactic bootstrapping to foster lexical acquisition must first have identified the semantic information that a syntactic context provides. Based on the "semantic seed…
Descriptors: Syntax, Language Acquisition, Vocabulary Development, Language Processing
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Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
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Pandey, Shalini; Karypis, George – International Educational Data Mining Society, 2019
Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities. Each student's knowledge is modeled by estimating the performance of the student on the learning activities. It is an important research area for providing a personalized learning platform to…
Descriptors: Learning Processes, Databases, Intelligent Tutoring Systems, Knowledge Level
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De Jesús Liriano, Rubén; Sevillano, María C. – Distance Learning, 2019
In recent years, the academic industry has seen a widespread development of digital technology and learning analytics. Certainly, the exchange of automatic processing has opened a broad set of new ways and opportunities, allowing additional emphasis on interaction and connectivity. This new learning approach provides improvement in the development…
Descriptors: Learning Processes, Higher Education, Learning Analytics, Educational Technology
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Seufert, Sabine; Meier, Christoph; Soellner, Matthias; Rietsche, Roman – Technology, Knowledge and Learning, 2019
The increasing prevalence of learner-centred forms of learning as well as an increase in the number of learners actively participating on a wide range of digital platforms and devices give rise to an ever-increasing stream of learning data. Learning analytics (LA) can enable learners, teachers, and their institutions to better understand and…
Descriptors: Incidence, Student Centered Learning, Data Analysis, Prediction
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Halpern, David; Tubridy, Shannon; Wang, Hong Yu; Gasser, Camille; Popp, Pamela Osborn; Davachi, Lila; Gureckis, Todd M. – International Educational Data Mining Society, 2018
Knowledge tracing is a popular and successful approach to modeling student learning. In this paper we investigate whether the addition of neuroimaging observations to a knowledge tracing model enables accurate prediction of memory performance in held-out data. We propose a Hidden Markov Model of memory acquisition related to Bayesian Knowledge…
Descriptors: Learning Processes, Memory, Prediction, Second Language Learning
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Roux, Lisa; Dagorret, Pantxika; Etcheverry, Patrick; Nodenot, Thierry; Marquesuzaa, Christophe; Lopisteguy, Philippe – International Association for Development of the Information Society, 2021
Distance computer-assisted learning is increasingly common, owing largely to the expansion and development of e-technology. Nevertheless, the available tools of the learning platforms have demonstrated their limits during the pandemic context, since many students, who were used to "face-to-face" education, got discouraged and dropped out…
Descriptors: Distance Education, Computer Software, Teacher Student Relationship, Supervision
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Archibald, David, Ed. – Film Education Journal, 2018
"Govan Young" (2017) is a 30-minute documentary in which schoolchildren from Glasgow learn of the area's important but largely unknown medieval history. This dossier brings together four essays that reflect on the film from various academic perspectives -- film studies, archaeology and education -- to explore how schoolchildren might…
Descriptors: Documentaries, Medieval History, Foreign Countries, Film Study
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Min, Wookhee; Wiggins, Joseph B.; Pezzullo, Lydia G.; Vail, Alexandria K.; Boyer, Kristy Elizabeth; Mott, Bradford W.; Frankosky, Megan H.; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…
Descriptors: Prediction, Models, Intelligent Tutoring Systems, Computer Simulation
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Batstone, Rob – ELT Journal, 2012
In this article, I examine some of the ideas about task-based language teaching (TBLT) which have emerged over the 17 years of the current editorship of ELTJ, focusing in particular on grammar and vocabulary, and enquiring to what degree these ideas take adequate account of classroom context. Over this period, TBLT scholars have built up a…
Descriptors: English (Second Language), Learning Processes, Second Language Instruction, Task Analysis
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Cooper, Jeffrey C.; Dunne, Simon; Furey, Teresa; O'Doherty, John P. – Journal of Cognitive Neuroscience, 2012
The dorsal striatum plays a key role in the learning and expression of instrumental reward associations that are acquired through direct experience. However, not all learning about instrumental actions require direct experience. Instead, humans and other animals are also capable of acquiring instrumental actions by observing the experiences of…
Descriptors: Video Technology, Operant Conditioning, Observational Learning, Prediction
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Ritola, Juho – Educational Theory, 2011
In this essay Juho Ritola develops a justificationist approach to social epistemology, which holds that normatively satisfactory social processes pertaining to the acquisition, storage, dissemination, and use of knowledge must be evidence-based processes that include appropriate reflective attitudes by the relevant agents and, consequently, the…
Descriptors: Evidence, Prediction, Critical Thinking, Epistemology
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Toni, Ivan – Language Learning, 2008
The article by Carota and Sirigu addresses a fundamental issue, namely the domain specificity of people's ability to learn and implement sequential structures of events. The authors review theoretical positions and empirical findings related to this issue, providing a useful summary of representative models of sequential event structures, and a…
Descriptors: Linguistics, Prediction, Models, Behavior
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