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Akbari, Elham; Naderi, Ahmad; Yazdi, Mahdi Hosseinzadeh; Simons, Robert Jan; Pilot, Albert – Journal of Interactive Learning Research, 2016
Despite the potential of social networks in formal learning, there should be more knowledge on the students and teachers attitudes toward such technology and more recent information in the context of the actual educational situation. The Technology Acceptance Model (TAM) was used. The instruments included a questionnaire investigate the attitudes…
Descriptors: Student Attitudes, Teacher Attitudes, Social Networks, Predictor Variables
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Lindvang, Charlotte; Beck, Bolette – Journal of Problem Based Learning in Higher Education, 2015
The focus of this paper is how we can facilitate problem based learning (PBL) more creatively. We take a closer look upon the connection between creative processes and social communication in the PBL group including how difficulties in the social interplay may hinder creativity. The paper draws on group dynamic theory, and points out the…
Descriptors: Problem Based Learning, Teaching Methods, Music, Group Dynamics
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Xiong, Hui; Li, Lan; Qu, Yingmei – SAGE Open, 2015
This study aims to investigate how a group of Chinese university teachers developed their cognitive models by using "English as a Foreign Language (EFL) teachers" metaphors. The research method includes an open-ended questionnaire, a checklist questionnaire, and verbal reports. The goal for this research is twofold. First, we will…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Models
MacLellan, Christopher J.; Liu, Ran; Koedinger, Kenneth R. – International Educational Data Mining Society, 2015
Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…
Descriptors: Factor Analysis, Regression (Statistics), Knowledge Level, Markov Processes
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Mejia, Carolina; Florian, Beatriz; Vatrapu, Ravi; Bull, Susan; Gomez, Sergio; Fabregat, Ramon – IEEE Transactions on Learning Technologies, 2017
Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…
Descriptors: Clinical Diagnosis, Dyslexia, Visualization, Metacognition
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Fernando, Chrisantha – Cognitive Science, 2013
How do human infants learn the causal dependencies between events? Evidence suggests that this remarkable feat can be achieved by observation of only a handful of examples. Many computational models have been produced to explain how infants perform causal inference without explicit teaching about statistics or the scientific method. Here, we…
Descriptors: Brain Hemisphere Functions, Infants, Inferences, Causal Models
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Tala, Suvi – Science & Education, 2013
The content of the expertise which young natural scientists try to gain by doing science in research groups is a relatively little-explored subject. What makes learning in such settings challenging is that a central part of the expertise is tacit. This study employs empirical methods together with a contextualized approach and interdisciplinary…
Descriptors: Scientific Research, Science Education, Expertise, Scientists
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Aslin, Richard N.; Newport, Elissa L. – Language Learning, 2014
In the past 15 years, a substantial body of evidence has confirmed that a powerful distributional learning mechanism is present in infants, children, adults and (at least to some degree) in nonhuman animals as well. The present article briefly reviews this literature and then examines some of the fundamental questions that must be addressed for…
Descriptors: Linguistic Input, Grammar, Language Research, Computational Linguistics
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Wang, Zhijun; Chen, Li; Anderson, Terry – International Review of Research in Open and Distance Learning, 2014
Interaction has always been highly valued in education, especially in distance education (Moore, 1989; Anderson, 2003; Chen, 2004a; Woo & Reeves, 2007; Wang, 2013; Conrad, in press). It has been associated with motivation (Mahle, 2011; Wen-chi, et al., 2011), persistence (Tello, 2007; Joo, Lim, & Kim, 2011), deep learning (Offir, et al.,…
Descriptors: Open Education, Learner Engagement, Learning Processes, Technology Integration
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Kordes, Urban; Sicherl Kafol, Barbara; Brunauer, Ada Holcar – Athens Journal of Education, 2014
Qualitative research has provided insight into how students experience and perceive the learning process in music. A model of learning, teaching, assessment and evaluation has been researched and reconstructed together with students. As a basic investigative approach the method of action research has been used. Two action cycles were planned and…
Descriptors: Models, Formative Evaluation, Music, Music Education
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Magdin, Martin; Turcáni, Milan – Turkish Online Journal of Educational Technology - TOJET, 2015
Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…
Descriptors: Management Systems, Information Technology, Electronic Learning, Cognitive Style
Wan, Hao; Beck, Joseph Barbosa – International Educational Data Mining Society, 2015
The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…
Descriptors: Skill Development, Problem Solving, Knowledge Level, Learning Processes
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Sun, Daner; Looi, Chee-Kit; Xie, Wenting – Technology, Pedagogy and Education, 2017
When inquiry-based learning is designed for a collaborative context, the interactions that arise in the learning environment can become fairly complex. While the learning effectiveness of such learning environments has been reported in the literature, there have been fewer studies on the students' learning processes. To address this, the article…
Descriptors: Teaching Methods, Inquiry, Secondary School Students, Concept Formation
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Schwartz, Mila; Gorbatt, Naomi – Modern Language Journal, 2017
In this study, we explored how major theoretical principles and concepts in the mediation strategies of Vygotsky's sociocultural theory are realized in an Arabic-Hebrew preschool in Israel. The aim of this study was to examine how teachers encourage children to use their second language (L2) during teacher-child conversations. In particular, as a…
Descriptors: Bilingualism, Preschool Children, Preschool Teachers, Sociocultural Patterns
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Worthy, Darrell A.; Markman, Arthur B.; Maddox, W. Todd – Brain and Cognition, 2013
We examined how feedback delay and stimulus offset timing affected declarative, rule-based and procedural, information-integration category-learning. We predicted that small feedback delays of several hundred milliseconds would lead to the best information-integration learning based on a highly regarded neurobiological model of learning in the…
Descriptors: Feedback (Response), Classification, Stimuli, Learning Processes
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