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Intelligent web-based learning system with personalized learning path guidance
TLDR
Personalized curriculum sequencing is an important research issue for web-based learning systems because no fixed learning paths will be appropriate for all learners. Expand
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Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle
TLDR
We propose a personalized mobile English vocabulary learning system based on Item Response Theory and learning memory cycle, which recommends appropriate English vocabulary for learning according to individual learner vocabulary ability and memory cycle. Expand
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Personalized e-learning system using Item Response Theory
TLDR
We propose a personalized e-learning system based on Item Response Theory (PEL-IRT) which considers both course material difficulty and learner ability to provide individual learning paths for learners. Expand
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An efficient fuzzy classifier with feature selection based on fuzzy entropy
TLDR
This paper presents an efficient fuzzy classifier with the ability of feature selection based on a fuzzy entropy measure. Expand
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Mobile formative assessment tool based on data mining techniques for supporting web-based learning
TLDR
This study presents a mobile formative assessment tool using data mining, which involves six computational intelligence theories, i.e. statistic correlation analysis, fuzzy clustering analysis, grey relational analysis, K-means clustering, fuzzy association rule mining and fuzzy inference, in order to identify the keyformative assessment rules according to the web-based learning portfolios of an individual learner for the performance promotion of web- based learning. Expand
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Effects of Different Video Lecture Types on Sustained Attention, Emotion, Cognitive Load, and Learning Performance
TLDR
This study explores how three commonly used video lectures styles affect the sustained attention, emotion, cognitive load, and learning performance of verbalizers and visualizers in an autonomous online learning scenario by using a two-factor experimental design, brainwave detection, emotion-sensing equipment, Cognitive load scale, andlearning performance test sheet. Expand
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Personalized E-Learning System with Self-Regulated Learning Assisted Mechanisms for Promoting Learning Performance
TLDR
The self-regulated learning is a goal-oriented learning strategy and it is very suitable to be applied in self-management learning for promoting learning performance of individual learner in a web-based learning environment. Expand
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Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning
TLDR
This study proposes a personalised context-aware ubiquitous learning system for learning English vocabulary based on learner location as detected by wireless positioning techniques, learning time, individual English vocabulary abilities and leisure time, enabling learners to adapt their learning content to effectively support English vocabulary learning in a school environment. Expand
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Interactive augmented reality system for enhancing library instruction in elementary schools
TLDR
This work develops a game-based augmented reality library instruction system based on situated learning theory, and applies innovative augmented reality interactive technology to a library's learning environment. Expand
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A self-organizing HCMAC neural-network classifier
TLDR
This paper presents a self-organizing hierarchical cerebellar model arithmetic computer (HCMAC) neural-network classifier, which contains a selforganizing input space module and an HCMAC neural network. Expand
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