Chengjiu Yin
Kobe University
Information Science and Technology Center

Calls for Papers (Special Issue): International Journal of Distance Education Technologies (IJDET), indexed by EI ,ESCI(Web of Science) . CFP in PDF

Special Issue On: Emerging Technologies to Enhance Learning

Submission Due Date

6/30/2017 8/31/2017

Guest Editors

Chengjiu Yin, Kobe University, Japan
Neil Yen, Aizu University, Japan
Qun Jin, Waseda University, Japan

Introduction

Many of research domains are incorporated into education, such as Pedagogy, Educational psychology, Anthropology, Statistics, Information Science, Neuro science. Researchers use the technologies of these domains to enhance education such as enhance learning motivation, encourage active learning, and irritate critical thinking or creative thinking.

Educators have attempted to incorporate the existing educational theories while conducing emerging-technologies to enhance learning activities. With the development of emerging technologies, some new research trends appeared in education technology through the last several years. Such as Education Big Data, Flipped Classroom, Game-based Learning and Augmented Reality for Education.

Objective

The purpose of this special issue is to invite researchers who are engaged in studies to share and exchange their research experiences and findings of using emerging technologies to providing better teaching and learning.

Recommended Topics

Topics of interests include, but are not limited to, the following:
•Artificial Intelligence in Education/Intelligent Tutoring System (AIED/ITS) and Adaptive Learning
•Computer-supported Collaborative Learning (CSCL)
•Development and applications of digital content for e-learning
•Discipline-based cases for e-learning
•Education data mining/ Educational Big Data/Learning Analysis
•e-Learning, knowledge management
•Emerging tools and technologies for e-learning
•Flipped classroom
•Game and Toy Enhanced Learning and Society (GTEL&S)
•Information Society & Culture (ISC)
•Innovative Design of Learning Software (IDOLS)
•Joyful Learning & Society (JL&S)
•Learning and Knowledge Management
•Social computing in e-learning
•Technology Enhanced Language Learning (TELL)
•Technology Enhanced Science Learning (TESL)
•Technology Facilitated Testing and Assessment (TFTA)
•Theoretical foundations for e-learning
•Trends in content/courseware development

Submission Procedure

All submissions have to follow IGI Global journal manuscript guidelines and should be submitted via open journal system at Special Issue On: Emerging Technologies to Enhance Learning
http://www.igi-global.com/calls-for-papers/international-journal-distance-education-technologies/1078

Guidelines-for-submission:

Submission Guidelines
Journal Template

All submissions and inquiries should be directed to the attention of:
Chengjiu Yin, Information Science and Technology Center, Kobe University, Japan
yin.academic@gmail.com

About extended version of conference paper

If your conference paper is invited to submit your extended version to our SI, please make sure that your extended version includes the following bullet points:

1. the extended version of the conference papers should have at least 45% difference from the conference version and the difference should be reflected in the analysis, design, system, experiment/evaluation, data collection and analysis, and findings and discussions;
2. the paper should be NOT including too theoretical contents (e.g., math, symbols and equations) and the paper needs to have running examples with simulated or real datasets to explain correspondent equations, definitions, atoms, theorems, and proofs if those theoretical content is extremely important for readers to understand their research;
3. the paper should be strongly connected to the practical usages in distance education or e-learning, which means, a research is used for people to learn in the classroom (or with others at same place together at the same time) would never be accepted;
4. the paper needs to have experiment or evaluation with proper quantitative and/or qualitative data analysis, findings and discussions;