Session 1

Topic: Smart Mechatronics and Robotics Systems

Chair(s):

Dr. Ying Wang, Kennesaw State University, USA, ying.wang@kennesaw.edu

Dr. Clarence W. de Silva, University of British Columbia, Canada, desilva@mech.ubc.ca

Abstract

In the past years, smart mechatronics and robotics systems have attracted more attentions because machine learning, computer vision and advanced controls are usually integrated together in these systems that show more flexible and intelligent behaviors. For promoting the development of smart mechatronics and robotics systems, the ICCSE conference is held on August 19 to 21, 2018. This session is intended to provide a forum for colleagues in smart mechatronics and robotics areas to share their experiences and new research achievements. Topics are included but not limited to :

• Intelligent robots and mechatronics products
• Autonomous vehicles or robots
• Machine learning applications in robotics
• Vision based robotic or mechatronics systems
• Advanced control of autonomous robots or self-driving vehicles
• Deep learning and neural network technologies

PDF flyer of Session 1-Smart Mechatronics and Robotics Systems

Session 2

Topic: VR, AR, and MR technologies in Higher Education

Chair(s):

Carsten Lecon, Aalen University, Germany, c.lecon@web.de

Abstract

Virtual 3D worlds are not only used for the visualization of complex learning matters, but get increasing importance in learning environments. Students for example act as avatars in artificially generated worlds, in which they learn, develop, and present simultaneously. Full immersion is possible by so called head mounted displays, for example the HTV Vive or the Oculus Rift. Nowadays, these are less expensive, so that many users can use this technique. Furthermore, Augmented Reality (AR) und Mixed Reality (MR) applications become more and more important in industrial application – and also in learning environments.

Topics are included but not limited to:

• Virtual 3D spaces for collaborative learning
• Teaching VR/ AR/ MR techniques in Higher Education
• Didactic and pedagogical aspects when designing VR/ AR/ MR applications
• Kinetosis in VR environments
• Evaluation of AR/ VR / MR applications

PDF flyer of Session 2-VR, AR, and MR technologies in Higher Education

Session 3

Topic:Technology-Inspired Smart Learning

Chair(s):

Prof. ZHENG Li, Tsinghua University, Beijing, P.R.China, zhengli@tsinghua.edu.cn

Co-Chair(s):

Associate Prof. LI Chao, Tsinghua University, Beijing, P.R.China, li-chao@tsinghua.edu.cn

Abstract

Smart learning environments are very diverse: massive open online courses with AI assistants, intelligent tutoring systems, interactive learning courseware, learning games, collaborative programming communities, community tutorial systems, personalized exercise programs, tutoring robotics are all examples, especially in off-campus scenarios. A growing number of current campus-based courses in popular fields are also involved. All share a common purpose to increase human potential, leveraging data collection, data analysis, human interaction, and varying forms of computational assessment, adaptation and guidance.

Information technologies have been proposed to the modern smart learning space, but may instead increase the digital divide if applied without reflection. So, further work is needed to understand how to leverage technologies to provide equitable education for all, and many questions remain to be answered. What are the main barriers to providing educational opportunities to underserved teachers and learners? How can AI and advanced technologies help overcome these difficulties? How can this work be done ethically? etc. In this session we gather the collective intelligence of the community to provide innovative and creative solutions, thus try to investigate “Technology-Inspired Smart Learning”.

This session solicits original research paper submissions on methodologies, case studies, analyses, tools, or technologies for smart learning, broadly construed. Four kinds of contributions will be accepted: Research Papers, Synthesis/Review Papers, Work-in-Progress Short Papers, and Demonstrations. Topics are included but not limited to:

• Knowledge graph for education
• Big data for learning
• Block chain supported platforms
• Tutoring robotics
• AI assistants/supports
• Interactive/personalized exercise games/systems
• Collaborative programming study tools/integrated platforms
• Information technology standards for education

PDF flyer of Session 3-Technology-Inspired Smart Learning

Session 4

Topic:Innovative talent cultivation under the college-enterprise collaborative model.

Chair(s):

Prof. ZHAO Huan, Hunan University, hzhao@hnu.edu.cn

Co-Chair(s):

Prof. LUO Juan, Hunan University, juanluo@hnu.edu.cn

A.P. Li Xiaoying, Hunan University, lixy@hnu.edu.cn

Abstract

Innovative talent cultivation is an eternal subject to be studied in the training of talents in colleges and universities. Cultivating innovative talents involves talent training concepts, standards, education systems, evaluation systems, policy systems, curriculum, teaching materials and innovation platform construction and other aspects. The core point of these contents is to improve the ability of university personnel training, the key will be focused on teachers. This session is intended to provide a forum for colleagues from the academic and industry to exchange experience and achievements related to the innovative talent cultivation under the cooperation of college and enterprise. Topics are included but not limited to:

• Exploration and practice of curriculum system construction for innovative talent cultivation.
• AI for the training mode of innovative talents
• Education and teaching means, tools and systems based on new IT.
• The Innovative and Practical Education

PDF flyer of Session 5- Innovative talent cultivation under the college-enterprise collaborative model

Pre-conference workshop

Topic: Computer Assisted Language Learning for Learning (a Stress-Time Language) English

Chair(s):

Dr. Sena Seneviratne, School of Electrical & Information Engineering, Sydney University, Australia, ssen2304@uni.sydney.edu.au

Dr. Judith Beveridge, English Poet, School of English, Sydney University, Australia, jbrev@iprimus.com.au

Prof. Liyanage C. De Silva, Faculty of Integrated Technologies, Universiti Brunei Darussalam, liyanage.silva@ubd.edu.bn

Dr. Udaya Seneviratne, General Hospital Colombo, Emergency Division, Colombo-7, Sri Lanka, udaranasepala@gmail.com

Mrs. Daisy Herft, Retired Graduate English teacher whose vernacular tongue is English, 9B-89-6, Mattegoda Housing Scheme, Mattegoda, Sri Lanka, +94 764146742

Abstract

The objective of the Working Group is to conduct research to find ways to enable adults to easily learn English speech and become fluent in spoken English. Adult learners should know the basics of English grammar, and that means how to write simple English sentences without grammatical errors. The Working Group focuses mainly on how to develop computer software packages to train the learners in English speech. The sole objective of the Interactive Software Packages is to train foreign learners to speak English fluently (correctly, continuously and smoothly). This means, their main focus is to train the learners to apply stress correctly and sufficiently on each English word and phrase.

Brochure of Session 4-Computer Assisted Language Learning for Learning (a Stress-Time Language) English