Tongtao Zheng, Xiamen Institute of Software Technology
Based on the common appeal of realizing industrialization to promote economic and social development, countries along the “Belt and Road” actually need a large number of vocational and technical talents. After more than 40 years of development, with the help of the Belt and Road Initiative, China's vocational education has been introduced to the rest of the world and benefit the world with Chinese technology, Chinese solutions and Chinese wisdom. Faced with the impact of COVID-19 and anti-globalization, large-scale and high-quality training of professional and technical personnel has become a major issue that countries along the Belt and Road must solve. On behalf of the new scientific and technological revolution，computer information technology has become the driving force for the transformation of talent training mode. With the globalization of education and technology, how to build a vocational education system with Chinese characteristics is the key to breaking through the bottleneck of China's foreign direct investment and serving the high-quality development of the "Belt and Road". In view of this, first of all, it is necessary to take big data as the driving force to clarify the talent demand characteristics, quality connotation and industry distribution of countries along the "Belt and Road", and to improve the talent training mechanism of the "Belt and Road" in a demand-oriented way. Secondly, it discusses the reform and innovation of vocational education under the background of information technology, and studies how to apply computer science and technology to promote the development of "Chinese plus Vocational Education". Finally, it is necessary to study the learning characteristics and learning paths of language learners under the background of AI and meta-universe and so on. With technology as the driving force, a compound talent training platform will be accurately built to meet the needs of internationalization, and ultimately jointly serve the construction of a community with a shared future for mankind.
Key words: Belt and Road Initiative; Computer technology; Vocational education; Talent training.
Main topics:
● Research on the nationalization of talent demand for the "Belt and Road" in the perspective of big data
● Reform and innovation of online vocational and technical talent training mode in the post-epidemic era
● Research on the Construction of Vocational Education System of “Belt and Road” with Chinese Characteristics
● Research on the "Belt and Road" Vocational Education Evaluation System and Mechanism Construction
● Research on the construction of "Chinese + Vocational Education" teaching resources in the new era
● Metaverse and International Chinese Education---Language Learning in the Virtual World
● " Belt and Road " database construction of talent demand and training
● Research on industrial high-quality training of Chinese talents in the "Belt and Road"
Prof. Tongtao Zheng, renowned linguistics and computer science expert, Ph.D doctoral supervisor, president of Xiamen Institute of Software Technology.
Carsten Lecon, Aalen University, Germany
Immersive Learning is possible by Augmented and Virtual Reality. Full immersion is possible by so called head mounted displays, for example the HTC 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.
In addition, virtual 3D Learning Environments are not only used for the visualization of complex learning matters, but get increasing importance in learning environments (currently, accelerated by the Corona pandemic). Students for example act as avatars in artificially generated worlds, in which they learn, develop, and present simultaneously.
Topics are included but not limited to:
● AR and VR learning settings for education
● Teaching VR/ AR/ MR techniques in education
● Didactic and pedagogical aspects when designing VR/ AR/ MR applications
● Evaluation of AR/ VR / MR applications
● Virtual 3D Environments for collaborative learning
o Special topics are for example: Use cases, challenges, evaluation
● Kinetosis in VR environments
Prof. Dr. Carsten Lecon
● Study of computer science
(Technical University Braunschweig, Germany)
● Software Quality Assurance
(Siemens AG, Braunschweig)
● Database systems, Media archives
(University Luebeck, Germany)
● Virtual University of Applied Sciences
(FH Luebeck, Germany)
● Since 04/2004 Professor for media computer science
(Aalen University for Applied Sciences, Germany)
o Teaching: Foundations of digital media, VR/AR technologies, audiovisual media, game programming
o Research: E-/VR-Learning, kinetosis in VR environment, live motion capture
Jie Hu, NingboTech University, huj@zju.edu.cn
Zheng Ruan, NingboTech University, wyxrz@nbt.edu.cn
Xianxian Luo, NingboTech University, luoxianxian1992@126.com
Computer Assisted Language Education embraces a wide range of information and communications technology applications and approaches to teaching and learning languages, as used in a virtual learning environment and Web-based distance learning. It also extends to the use of corpora and concordancers, interactive whiteboards, computer-mediated communication (CMC), language learning in virtual worlds, and mobile-assisted language learning (MALL).
This session is intended to provide a forum for colleagues in language teaching to share their experiences and discuss the recent advances in the following fields to promote the use of technology for facilitating language acquisition, language teaching and assessment.
This invited session will collect papers of the following subjects, but not limited to:
● Collaborative and cooperative education
● Smart learning and education
● AI applications in education practice
● Tools and systems for life-long learning
● Education and learning practice
● Massive learning online course
● Curricula and courseware design
● Innovation and reform in education based on new IT
Prof. Jie Hu, Ph.D., working at the School of International Studies, Zhejiang University and the head at the School of International Studies, NingboTech University, China. She has been focusing on English language education for more than 10 years after her Ph.D. graduation from the University of Warwick, U.K. Her research interests include ICT-based English language education, second language acquisition, educational data mining and learning analysis. She has hosted a couple of National Social Science research projects and has published the selected research papers on Computers & Education, Computer Assisted Language Learning, Research in Science Education, Higher Education Research & Development, Reading and Writing: An Interdisciplinary Journal. She also served as the editor of EI research journal.
E-mail: huj@zju.edu.cn
ORCID: http://orcid.org/0000-0003-2219-2587
Zheng Ruan is a lecturer in the School of International Studies, NingboTech University, China. She received her master degree in Applied Linguistics and English Language Teaching from University of Nottingham Ningbo China. She developed her research interests in multimodal discourse analysis, corpus linguistics and English language education. She participated in the International Scholar Program of TESOL as a visiting scholar in Nazareth College of Rochester, USA from 2017-2018.
Email: wyxrz@nbt.edu.cn
Dr. Xianxian Luo is a lecturer in the School of International Studies, NingboTech University, China. She received PhD in English Literature from Beijing Foreign Studies University, China. As a graduate research trainee, she visited McGill University, Canada from 2017-2018. Her research interests include 18th Century English Novel, narrative discourse analysis, and English language education.
Email: luoxianxian1992@126.com
Fengxia Li, School of Computer Science and Technology, Beijing Institute of Technology, lfx_lfx@bit.edu.cn
Jingfeng Xue, School of Computer Science and Technology, Beijing Institute of Technology, xuejf@bit.edu.cn
Yue Yu, School of Computer Science and Technology, Beijing Institute of Technology, yuyue@bit.edu.cn
MOOC (Massive Open Online Courses) /SPOC (Small Private Online Courses) gets many new points and research achievements for online teaching in recent years. These developments bring the challenges for the online experiment. Virtual simulation technologies which includes VR/AR and computer simulation promote online teaching resource construction. The promotion could improve the quality of the online courses. This invited session is intended to provide a forum for colleagues to share their experiences and new research achievements in online experiment construction and the online courses improvement.
Topics are included but not limited to:
● Virtual Simulation Technology for Online Experiments
● Virtual experiment for online teaching
● Online teaching resource construction
● Mixed Teaching Mode based on MOOC/SPOC
● Analysis of Online Learning Behavior
● Intelligent Tutoring Systems for MOOC/SPOC
● Online Teaching Environment and Supporting Technology
Fengxia Li is a professor in School of Computer Science and Technology at Beijing Institute of Technology. She is the Beijing Famous teacher, the chief of the National Virtual Simulation Experiment Teaching Center. She is in charge of College Computer MOOC and C Programing MOOC with more than 1,800,000 students. Her research interest is computer simulation and computer education. She received many awards including the National Teaching Achievement Award of China, Beijing Teaching Achievement Award, etc.
Dr. Jingfeng Xue is a professor in School of Computer Science and Technology at Beijing Institute of Technology. He received a PhD in computer science and technology from Beijing Institute of Technology in 2003. He is a committee member of Higher Education Guidance Committee of Ministry of Education China. His research interest is computer network and software engineering.
Dr. Yue Yu is an associate professor in Beijing Institute of Technology. She received an MSc degree in automatic control from Beihang University, Beijing, China, in 2010 and a PhD from Ecole centrale de Lille, Lille, France, in 2013. Her fields of interests are virtual reality, computer simulation, and computer education. She is in charge of the National Natural Science Foundation of China. She received many awards including the National Teaching Achievement Award of China, Beijing Teaching Achievement Award, etc.
Hiroki TAKADA, University of Fukui, Japan. takada@u-fukui.ac.jp
In today’s world, where digital images and videos are flooding our homes, academically examining the safety of viewing them is necessary. In this section, the new development of bio-signal and bio-signal processing are introduced and utilized in this field and the surroundings. Mathematical models have been regarded as fundamental technique for the bio-signal. In connection with 5G/beyond 5G technology and networks, bio-signal and their utilization have been attracting attention. The application of artificial intelligence, which has made remarkable progress in recent years, to this field will also be discussed.
This invited session will collect papers of the following subjects, but not limited to:
● Machine Learning/AI
● Computer–Human Interact
● Control and Communication
● Deep Learning
● Mechatronics and Robotics
● Visualization of Big Data
● Techniques, Models, and Algorithms
Prof. Hiroki TAKADA, is a tenured Professor in the Department of Human and Artificial Intelligent Systems, the Graduate School of Engineering, University of Fukui, Japan. He is also the Co-Director of the Nonlinear Science Lab. His research is centered on the nonlinear analysis of time sequences. In his research, mathematical models have been obtained from the data sequences in Economics, Meteorology, and Erectrophysiology based on the stochastic process theory. He also received the Organization Contribution Award from the International Conference of Computer Science and Education (ICCSE) in 2020. Prof. Takada also serves as an editor in Environmental Health and Preventive Medicine and an editor-in-chief of Forma. He is a member of IEEE, Physical Society of Japan, and other organizations.
Binyue CUI, Hebei University of Economics & Business, binyuec@heuet.edu.cn
Wei ZHOU, Beijing Jiaotong University, wzhou@bjtu.edu.cn
Yanting TONG, Wuhan University of Technology
Information and Communication Technologies (ICT) evoked great changes in people’s living environments. Digital Literacy becomes basic capability for individuals to live and work. E-Society involves in the areas from e-Government, e-Business, e-Learning, e-Health, e-Culture to other applications that achieve common interests and goals.
E-society drives production and life more effectively and conveniently than ever. It drives changes in enterprises’ business models, business ecosystems, and provides customers with personalized services via application of technologies, such as Big Data, AI, Block chain, Digital Twin, Metaverse etc. Smart city and E-Government, e-Commerce simplify the way people work and live; The implementation of ICT based systems collect, store, access, manage and disseminate the environmental data and information; People enjoy remote life-long learning and roaming in online museums or virtual heritages at any time anywhere; New information technologies facilitate the data management and remote diagnoses in health ware fields. Meanwhile, Digital Literacy is more than technological know-how, it includes a wide variety of social, ethical and commercial practices, learning, leisure and daily life, and should be the basic capability of citizens in e-Society.
This session will be focused on e-Society and Digital Literacy. We welcome contributions of the technical as well as the non-technical aspects of these topics.
This invited session will collect papers of the following subjects, but not limited to:
● Smart Cities
● e-Government / e-Governance
● e-Business / e-Commerce
● e- Environment
● e-Culture an e-Health
● Digital Literacy and relevant practices
Dr. Binyue CUI is an Associate Professor, Dept. of Information Management, School of Management Science and Engineering, Hebei University of Economics and Business. She graduated from School of Information Science, Nagoya University, Japan, and received her Ph.D degree (information Science) in 2012. As a post-doc researcher, she worked at Nagoya University in Japan from 2012-2013. She has published over 40 academic papers in journals and international conference proceedings and served as editor, reviewer of several academic journals. She presided and participated many research projects. Her research interests lie mainly on Data Science and the applications in Enterprise Digital Transformation, Education, e-Culture, etc.
Dr. Wei ZHOU, Senior Researcher of Computer and Information Technology, Beijing Jiaotong University. She received the B.Eng. degree from Hebei University of Science and Technology, the M.Eng. degree from Beijing University of Technology, and the Ph.D. degree from Nagoya University (Japan). As visiting scholar, she visited Lawrence Berkeley National Laboratory from 2018-2019.
Her main research interests include Data Science and System Engineer, Education Technology, Information Services. She has published many papers of international conference, journals, and served on some editorial boards.
Dr. Yanting TONG, is an Associate Professor, Dept. Visual Communication Design, School of Art and Design, Wuhan University of Technology. Her digital methods, contemporary exploration to the illustration of Chinese traditional festival etc.
She Presided and participated three key research projects of Hubei provincial social science foundation; one young scholars supporting project of National Social Science Foundation. She also presided three independent innovation projects of Wuhan University of Technology, and published more than ten academic papers, obtained four Design Patents. She received the Second Prize of Hubei Province University Teaching Achievement Awards (ranked second). As supervising teacher, she instructed students to take part in many domestic competitions of professional design, and her teams won many awards.
Jun Zhu, Northwestern Polytechnical University, j.zhu@nwpu.edu.cn
Cheng-Geng Huang, Sun Yat-Sen University, huangchg5@mail.sysu.edu.cn
Min Xia, Lancaster University, UK. m.xia3@lancaster.ac.uk
Nowadays, the rapid development of modern industry makes machinery more complicated, automatic and integrated. The implementation of prognosis and health management (PHM) is becoming a key issue for keeping machines working safely. Although AI intelligence becomes a powerful tool for solving this problem, how to effectively use these advanced AI techniques while considering the practical monitoring data characteristics still remains a challenge. This session is intended to provide a forum for colleagues in data-driven PHM areas to share their experiences and new research achievements.
Topics are included but not limited to:
● Deep learning methods for complex machinery fault diagnosis and prognosis
● Cross-domain transfer learning for robust condition monitoring
● Improved learning methods with limited labeled data and massive unlabeled data
● Multiple homogeneous or heterogeneous sensor fusion techniques
● Interpretable machine learning models
● Learning methods combined with physical knowledge
● Real-time condition monitoring techniques
● Digital twin-based condition monitoring
● Federate learning-based fault diagnosis and prognosis methods
Jun Zhu, Associate Professor at Department of Civil Aviation, Northwestern Polytechnical University, supervisor of Master students. He obtained PhD degree in industrial engineering from National University of Singapore, 2020. His research interests include remaining useful life prediction, fault diagnosis and intelligent maintenance of major mechanical equipment. He has published 16 journal papers. He was a guest editor of SCI journal Shock and Vibration. His current google citations are 509 with one ESI highly cited paper (221 citations). He is a reviewer of MSSP, IEEE TIE, IEEE TII, MST, and so on.
Cheng-Geng Huang received the B.S. degree in information display and photoelectric technology and the Ph.D. degree in mechanical engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2013 and 2019. He is currently a postdoctoral researcher with the School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou, China. His research interests include industrial big data, machinery prognostics and health management, and industrial Internet-of-Things. He has held several projects sponsored by National Natural Science Foundation of China, China Postdoctoral Science Foundation, and Fundamental Research Funds for the Central Universities, etc.
Dr. Min Xia is currently a Lecturer in Advanced Manufacturing at the Department of Engineering at Lancaster University. His research interests include intelligent machine condition monitoring, advanced manufacturing process monitoring and optimization, smart sensing, and smart manufacturing. He has led numerous research projects as PI or Co-I funded by Horizon 2020, Innovate UK, NSERC, Mitacs, etc., with total funding of more than £ 1.1m. Dr. Xia has published more than 30 papers in top journals in mechatronics and industrial informatics. He is seating on the editorial board of many peer-review journals including IEEE Transactions on Instrumentation and Measurement, IET Intelligent Collaborative Manufacturing, and Mechatronic Systems and Control.
Orges Cico, Norwegian University of Science and Technology, orges.cico@gmail.com
Birgit Rognebakke Krogstie, Norwegian University of Science and Technology, birgit.r.krogstie@ntnu.no
According to the 1987 Brundtland Report, sustainable development is that which “meets the needs of the present without compromising the ability of future generations to meet their own needs.” Computer science education, meanwhile, is the science and art of teaching and learning computer science, computing, and computational thinking. Computer science education in sustainability can therefore be understood to encompass educational approaches that seek to develop computer science students and curricula with the values of, the motivation to learn about, and the drive to take action toward sustainable development.
Nowadays, sustainability-related challenges affect almost every aspect of society and engage a substantial proportion of the global population. Information technology plays an essential role in sustainability, being both part of the problem and part of the solution, but what, precisely, is the role of computer science in responding to and shaping society’s needs, and how well does it carry out that role? We can argue that computer science research and practice reshape and otherwise affect sustainable living conditions. Several practical issues, such as the impact of computer science activity and the professional responsibility of computer scientists toward society, therefore need careful ethical reflection early on in education programs.
Improving education about sustainability could have a positive impact on both the general and discipline-specific competencies needed to work on sustainability challenges, equipping computer science education candidates to work on real-life problems tackling sustainability development goals, often through multidisciplinary collaborations. However, the successful integration of sustainability into computer science education requires research on existing computer science courses in order to gather empirical evidence about the effectiveness of different approaches.
Our session aims to provide a venue for computer science education in sustainability and a forum for researchers and practitioners to share their experiences and novel research achievements. Topics include, but are not limited to, the following:
● Computer science education for sustainable development / sustainability
● Project-based courses in computer science focusing on sustainable development
● Multi- and interdisciplinary computer science courses for sustainability
● Social, technical, environmental, and economic sustainability in computer science education
● Sustainability and digital transformation
● The use of sustainability-related teaching cases in computer science education
● Theoretical perspectives on computer science education for sustainability
Orges Cico holds a Bachelor and MSc in Computer Engineering from Politecnico di Torino, Italy. He is currently a Ph.D. Candidate at the Norwegian University of Science and Technology. His research topic is in Empirical Software Engineering, more precisely in Lean Software Startups and Software Engineering Education. He has published over ten peer-reviewed papers in high-quality international conferences such as ICSE, ICSOB, EASE, EDUCON, and FIE. Previously he was a Full-Time Lecturer at the Canadian Institute of Technology, Tirana, Albania, and the Director of the Metropolitan Incubator Center (NGO part of the University Metropolitan Tirana, Albania). He has had extensive experience in both industry and academic settings in the last ten years. He has participated in several project development dedicated to cloud, mobile, and IoT systems, taught courses such as Advanced Software Engineering, Operating System Design, and Experts in Teamwork, and served as an invited lecturer in Customer-Driven Project and Digital Entrepreneurship courses.
Birgit Rognebakke Krogstie is Associate Professor in the Department of Computer Science at NTNU (Norwegian University of Science and Technology). She holds a Master’s degree in Education and a PhD in Computer Science. Her main areas of research and teaching are reflective learning, technology enhanced learning, computer-supported cooperative work, user centered design, and higher computing education. Krogstie is an experienced lecturer and supervisor on all levels in higher computing education. She has been part of securing and working on international EU projects, including FP7 ICT MIRROR (2010-2013), addressing technology-supported reflective learning in the workplace, in which Krogstie lead a major work package. She was also part of a team acquiring Norwegian national funding for the Excited Centre of Excellent IT Education (https://www.ntnu.edu/excited), for which she is currently director. The Excited centre aims to bring Norway to the forefront of IT Education and contribute to IT education for a digital and sustainable future. Krogstie is an active reviewer and conference committee member nationally and internationally. She was chair of the Norwegian ICT Conference on Research and Education in 2021.
Prof. ZHAO Huan, Hunan University (hzhao@hnu.edu.cn)
Prof. JIANG Jia-qiong, Hunan University (jiangjiaqiong@hnu.edu.cn)
Prof LUO Juan，Hunan University（juanluo@hnu.edu.cn）
It is the common theme of higher education in the world to construct high-quality higher education system rapidly and promote the high-quality development of higher education. In the whole higher education system, engineering education leads innovation and plays a very important role. This session is intended to provide a forum for colleagues from the academic and industry to exchange experience and achievements related to engineering teaching and evaluation. Topics are included but not limited to:
● Exploration and practice of high-quality engineering teaching system construction；
● reform of engineering teaching means, tools and models;
● engineering curriculum construction and assessment;
● students learning outcomes evaluation.
Huan Zhao, Ph.D, Professor, Ph.D supervisor, College of Computer Science and Electronic Engineering; Deputy division director of Academic Affairs Office, Hunan University. She is visiting scholar at the University of California, San Diego, the member of the Computer Basic Teaching Steering Committee of the Ministry of Education, and the member of the Steering Committee of the Education and Training of Industrial and Information Talents.
Her research interests include speech information processing, Machine Learning.
HP: http://csee.hnu.edu.cn/people/zhaohuan
Jiaqiong Jiang, Ph.D in Education, Professor, Ph.D supervisor, vice dean of Educational Science Research Institute of Hunan University, Editor-in-chief of University Education Science. She is the member of the Institutional Research Branch of the China Association of Higher Education, the member of the Higher Education Professional Council of the China Association of Higher Education, the member of the Comparative Education Branch of the Chinese Society of Education, an expert in Education Supervision and Evaluation in Hunan Province, and a member of the Teaching Committee of Hunan University.
HP: http://edu.hnu.edu.cn/info/1021/1253.htm
Juan Luo, Ph.D, Professor, Ph.D supervisor, Vice dean, College of Computer science and Electronic Engineering. She graduated from National University of Defense Technology with a bachelor’s degree and got master degree and Ph.D from Wuhan University . She used to work in the Fiberhome Networks company of Wuhan Academy of Posts and Technology, and is a visiting scholar at the University of California, Irvine. She was selected as a new century outstanding talent by the Ministry of Education, and won the Hunan Province Outstanding Youth Fund, the young backbone teachers of Hunan Province.
Her current research interests include IoT, cloud computing and artificial intelligence.
HP: http://csee.hnu.edu.cn/people/luojuan
Prof. Shijian Luo, Zhejiang University, sjluo@zju.edu.cn
Dr. Cheng Yao, Zhejiang University, yaoch@zju.edu.cn
Dr. Xinkai Wang, NingboTech University, xinkai.wang@nbt.edu.cn
Computer technology brings potentials and opportunities for generation, imagination, and education of design. The emerging ideas and experiences in each aspect of Computer Augmented Design and Innovation have gained prominence from young and brilliant researchers, designers, and talented student communities. For promoting the academic discussion of Fast-Evolving Digital Literacy and Skills, the ICCSE conference will be hold on August 18 to 21, 2022. This session is intended to promote diverse and dynamic life and healthy environment by bringing together different disciplines working within designs to discuss current challenges and solutions. Topics are included but not limited to:
● Intelligent Generative Design
● Product in Innovation Design
● Data-Driven Design Practices
● Augmented Reality and Industrial Design Process
● Computer Applications in Design
● Innovative Design Theories and Methodologies
● Healthy and Innovative Environment Design
● Design and Communication in Higher Education
● Innovative Design Education and Supporting Technology
Pro. Dr. LUO Shijian is a professor and PhD supervisor at Department of Industrial Design, College of Computer Science and Technology, Zhejiang University, Dean of International Design School of Zhejiang University, Ningbo, and Dean of the School of Design, NingboTech University. Dr. LUO is a recipient of Young Scholar award of Ministry of Education’s High-level Talent Program.
Dr. YAO Cheng is an Associate Professor and PhD supervisor of Zhejiang University. Dr. YAO is currently the Executive Dean of International School of Design, Zhejiang University, Ningbo, and Head of Department of Information Product Design, College of Software Technology, Zhejiang University. He is also the Deputy Director of National Institute of Eco-Industrial Design and Deputy Director of Computer-Aided Product Innovation Design Engineering Center, Ministry of Education, China.
Dr. WANG Xinkai is an Associate Professor at Department of Architecture and Urban Planning, NingboTech University. He has a PhD in planning from University of Liverpool (UK). Dr. Wang is currently the Associate Head in the Department of Intelligent Habitat Environment Design (DIHED), School of Design, NingboTech University.
Liang CAI, Ningbotech University, PRC, byroncai@sina.com
Xin ZHAO, University of Sheffield, UK, xin.zhao@sheffield.ac.uk
Digital Technologies provides Education institutions worldwide with unrivalled talents for addressing the multifaceted challenges in the post-pandemic era, including the growing demand of teaching administration, learning environment and changing expectations from students, staff and faculty. With access to Information and Communication Technologies, and Social Media platforms, it is desirable to witness how digital technologies help the education organization achieve its broader mission through transformation in education. The purpose of this session is to bring together scholars and practitioners to share research findings, practices and achievements on digital technologies, teaching and learning approaches, as well as pedagogic al issues and concerns in response to transformation in education. Topics are included but not limited to:
● Distant learning in a post-pandemic context.
● Gamification research and education.
● Practice for digital education transformation.
● Learner autonomy and digital practices
● Teachers' Professional Development on Digital and Media Literacy.
● Digital education in cross-cultural communication
● Bring digital education to rural areas
Liang CAI is Professor at School of International Studies, Ningbotech University, where he teaches Intercultural Communication, Theory and practice of Translation for English majors, and has served as Deputy Dean of the School from 2014 till now. He got his Med in TESOL from Sydney University in 2005, and his Doctoral degree from Shanghai International Studies University in 2013. He was a visiting scholar at University of Wisconsin, Madison, USA from Aug. 2013 to Aug. 2014. He finished his post-doc research on Western Economics in Zhejiang University in 2017. His main academic interest lies in Intercultural Communication, Entrepreneurship and Service-learning, focusing on integrating language teaching into community service.
Dr Xin ZHAO (Skye) is a lecturer at the Information School of the University of Sheffield and a senior fellow of the Higher Education Academy. She achieved her PhD and MA degrees at the University of Bath. Her areas of interests include internationalisation, digital pedagogy, and cross-cultural communication. She also works as an educational consultant, who delivers staff training courses at national and international conferences and staff development weeks at Linnaeus University, the University of Zadar, and Central China Normal University.
Gang Cen, Zhejiang University of Science & Technology, gcen@163.com
Mingwei Wu, Zhejiang University of Science & Technology, mingweiwu@ieee.org
Yuefeng Cen, Zhejiang University of Science & Technology, cyf@zust.edu.cn
Project practice teaching is a typical student-centered teaching mode in which students actively participate in the whole process of the project.
There are many new points and research achievements in each aspect of project practice teaching these years. For promoting the development of project practice teaching, the ICCSE conference is held on August 19 to 21, 2018. This session is intended to provide a forum for colleagues in project practice teaching areas to share their experiences and new research achievements. Topics are included but not limited to:
● Project practice teaching
● Project application development
● Educational software engineering
● Educational information science and technology
Gang Cen is a professor of Zhejiang University of Science & Technology. He is an excellent teacher of Zhejiang Province and an excellent teacher of computer basic education of National Research Association of Computer Basic Education in Higher Education, China. His research interests include educational information science and technology, educational software engineering, and information technology for physics teaching.
Ming-Wei WU is a professor at Zhejiang University of Science & Technology. Her research interests include communication theory and artificial intelligence. She is a Technical Program Committee Member for communications conferences including the IEEE ICC, the IEEE VTC, the IEEE Globecom, and the IEEE ICCC. She received the Best Paper Award from the IEEE ICC2011, Kyoto, Japan.
Yuefeng Cen is a lecturer of Zhejiang University of Science & Technology. His current research interests include hybrid teaching, big data and artificial intelligence.
Chair: Yang Weng, Sichuan University, wengyang@scu.edu.cn
The characteristics of large scale, rich data types, diverse structures and interrelatedness of data in social science have raised new research topics for researchers in the fields of data management and data mining. This session aims to study some key technologies of social science data management and mining, mainly including data model, organizational index, retrieval and data mining, etc., in order to realize the efficient management of complex data in this type of system, and to mine the knowledge contained in the data.
Yang Weng received the B.S. and Ph.D. degrees from the Department of Mathematics, Sichuan University. Since 2006, he has been with the College of Mathematics, Sichuan University, where he is currently an Associate Professor. He was a Postdoctoral Fellow with the Nanyang Technological University, Singapore, from August 2008 to July 2010. His current research interests include statistic machine learning and nonparametric Bayesian inference.