Computational Intelligence and Neuroscience

Recent Advances in Learning Theory


Status
Published

Lead Editor

1Columbia University, New York, USA

2Nicolaus Copernicus University, Torun, Poland

3Universiti Teknologi Malaysia, Johor, Malaysia

4Louisiana State University, Baton Rouge, USA


Recent Advances in Learning Theory

Description

Learning theories are conceptual frameworks that describe how information is absorbed, processed, and retained during learning. Cognitive, emotional, and environmental influences, as well as prior experience, all play a part in how understanding, or a world view, is acquired or changed and knowledge and skills are retained.

With the rapid development of modern information technology, mobile communication network, and the Internet, the learning environment has taken great changes, which is not only bringing about the new patterns of seamless, ubiquitous learning, but also facilitating the acquisition of the information about the learners’ interest, behaviors, and emotions. On the other hand, the advanced experimental technologies such as fMRI, ERPs, EEG, and wearable equipment are assisting us to explore the neural activities and mechanism in the new learning patterns as well as under the real social environment.

Modern learning theory is developing on the basis of social neuroscience, ubiquitous environment, and the related computational intelligence. The aim of this special issue is to bring together researchers working in different areas to exchange and share the progress in the new tendency of modern learning theory and application. We welcome theoretical contributions, innovative applications, and carefully evaluated empirical studies, and we particularly welcome work that combines all of these elements.

Potential topics include, but are not limited to:

  • Neural mechanism and social psychology in ubiquitous learning
  • Computational model of interest and behavior
  • Affective computing and emotional intelligence
  • Constructivism learning theory, cognitive flexibility theory, and situated learning
  • Team learning, social learning, and learning ecosystem
  • Smart learning based on neural mechanism and context awareness
  • Cyberphysical system and perceptual computing in ubiquitous learning
  • Computational intelligence in learning and learning services
  • Human machine interaction in learning system
  • Comparative studies of deep learning methods

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 395948
  • - Editorial

Recent Advances in Learning Theory

Weihui Dai | Wlodzislaw Duch | ... | Ye-Sho Chen
  • Special Issue
  • - Volume 2015
  • - Article ID 506905
  • - Research Article

Emotion Analysis of Telephone Complaints from Customer Based on Affective Computing

Shuangping Gong | Yonghui Dai | ... | Hai Sun
  • Special Issue
  • - Volume 2015
  • - Article ID 181038
  • - Research Article

Information Dissemination of Public Health Emergency on Social Networks and Intelligent Computation

Hongzhi Hu | Huajuan Mao | ... | Yunsuo Duan
  • Special Issue
  • - Volume 2015
  • - Article ID 762403
  • - Research Article

Explore Awareness of Information Security: Insights from Cognitive Neuromechanism

Dongmei Han | Yonghui Dai | ... | Xingyun Dai
  • Special Issue
  • - Volume 2015
  • - Article ID 812650
  • - Research Article

CyberPsychological Computation on Social Community of Ubiquitous Learning

Xuan Zhou | Genghui Dai | ... | Mirjana Ivanović
  • Special Issue
  • - Volume 2015
  • - Article ID 701237
  • - Research Article

A Neuroeconomics Analysis of Investment Process with Money Flow Information: The Error-Related Negativity

Cuicui Wang | João Paulo Vieito | Qingguo Ma
  • Special Issue
  • - Volume 2015
  • - Article ID 108417
  • - Research Article

P300 and Decision Making under Risk and Ambiguity

Lei Wang | Jiehui Zheng | ... | Haoye Sun
  • Special Issue
  • - Volume 2015
  • - Article ID 345160
  • - Research Article

An Opinion Interactive Model Based on Individual Persuasiveness

Xin Zhou | Bin Chen | ... | Xiaogang Qiu
  • Special Issue
  • - Volume 2015
  • - Article ID 709072
  • - Research Article

An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template

Xuan Li | Yong Dou | ... | Ruorong Xiao
  • Special Issue
  • - Volume 2015
  • - Article ID 749326
  • - Research Article

Neural Cognition and Affective Computing on Cyber Language

Shuang Huang | Xuan Zhou | ... | Xueer Yu
Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate28%
Submission to final decision79 days
Acceptance to publication37 days
CiteScore4.700
Impact Factor2.284
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