An innovative approach to scheme learning map considering tradeoff multiple objectives

YS Lin, YC Chang, CP Chu - Journal of Educational Technology & Society, 2016 - JSTOR
An important issue in personalized learning is to provide learners with customized learning
according to their learning characteristics. This paper focused attention on scheming …

Revealing at-risk learning patterns and corresponding self-regulated strategies via LSTM encoder and time-series clustering

M Zhang, X Du, K Rice, JL Hung, H Li - Information Discovery and …, 2022 - emerald.com
Purpose This study aims to propose a learning pattern analysis method which can improve a
predictive model's performance, as well as discover hidden insights into micro-level learning …

Personalized micro-learning support based on process mining

J Chen, Y Zhang, J Sun, Y Chen… - 2015 7th International …, 2015 - ieeexplore.ieee.org
Micro-Learning is a new leaning paradigm based on microblogging, e-mail or SMS, in which
an integral learning resource consists of a series of micro learning units that are dispersed …

Discovery of learning path based on bayesian network association rule algorithm

H Shen, T Liu, Y Zhang - International Journal of Distance Education …, 2020 - igi-global.com
This study aims to create learning path navigation for target learners by discovering the
correlation among micro-learning units. In this study, the learning path is defined as a …

Discovery of association rule of learning action based on Bayesian network

T Liu, Y Zhang, J Chen, H Shen - 2018 9th International …, 2018 - ieeexplore.ieee.org
In this study, we propose an approach based on Bayesian network to find the correlation of
learning actions in micro-learning. The correlations are then used to optimize learning path …

Learning activity sharing and individualized recommendation based on dynamical correlation discovery

X Zhou, J Chen, Q Jin, TK Shih - Advances in Web-Based Learning-ICWL …, 2012 - Springer
In this study, we concentrate on learning activity sharing and individualized recommendation
based on dynamical user correlations, in order to support and facilitate the web-based …