Workshop Call for Papers: AIDS-ED
Applications of Artificial Intelligence, Data Science and Intelligent Systems for Educational Research and Development
This is held in conjunction with International Conference on Computers in Education
(ICCE 2021, https://icce2021.apsce.net)
Workshop Organizers:
Assoc.Prof.Tossapon Boongoen
Center of Excellence in AI and Emerging Technologies, School of IT, Mae Fah Luang University (MFU), Thailand
Co-organizers:
Prof.Qiang Shen & Dr Changjing Shang
Department of Computer Science
Aberystwyth University, UK
Asst.Prof.Shao-Chen Chang
Yuan Ze University, Taiwan
Prof. Taesu Cheong
Korea University, South Korea
Assoc.Prof.Kraisak Kesorn
Naresuan University, Thailand
Asst.Prof.Chih-Hung Chen
National Taichung University of Education, Taiwan
Technical Program Committees:
Assoc.Prof. Longzhi Yang, Northumbria University UK
Assoc.Prof. Nitin Naik, Aston University, UK
Assoc.Prof. Xin Fu, Xiamen University, China
Asst.Prof. Natthakan Iam-On, MFU
Asst.Prof. Komkrit Kawchauy, Royal Thai Air Force Academy, Thailand
Asst.Prof. Sirikan Chucherd, MFU
Asst.Prof.Tanatorn Tanantong, Thammasat University, Thailand
Asst.Prof.Umaporn Supasitthimethee, KMUTT, Thailand
Dr.Phimmarin Keerin, Pibulsongkram Rajabhat University, Thailand
Dr Samart Moodleah, KMITL, Thailand
Dr.Charoenchai Wongwatkit, MFU
Dr.Khwunta Kirimasthong, MFU
Dr.Vittayasak Rujivorakul, MFU
Ms.Teanjit Sutthaluang, MFU
Ms.Pattariya Singpant, MFU
Introduction
Artificial Intelligence, data science & intelligent technology have increasingly involved in many disciplines, ranging from science such as astronomy and bioinformatics to education, which has been intensified given the situation of COVID-19. These allows, for instance, more effective and transparent process to which improved content, process and delivery can be made. As such, this workshop is able to reinforce the main program of ICCE 2021 by allowing experts and researchers working in the aforementioned areas to share new knowledge and good practices. Crossover and interdisciplinary research works bridging AI, data science and intelligent processing and systems to educational research and development are welcomed to this workshop.
Scope: Topics of interest include, but are not limited to:
Data-driven modeling and visualization to solve education related problems.
Uncertainty, fuzzy set and system and their applications.
Intelligent information processing for improved operations.
Machine and deep learning models for knowledge discovery.
Intelligent systems for educational research and development.
Tools and systems for improved education and personal learning.
Others relating to technological applications in multidisciplinary studies, including health, medicine, social science, engineering, for instance.
Important Dates:
Jul 22, 2021: Deadline for submission of full-length or short papers to workshop.
Aug 2, 2021: Acceptance notification.
Aug 16, 2021: Final camera-ready papers due in electronic form.
Nov 22-26, 2021: Conference events
Submission:
Manuscripts for this workshop should be prepared as a full (8-10 pages) or short (5-6 pages) paper, using the formal template of ICCE 2021 (https://icce2021.apsce.net/wp-content/uploads/2021/02/ICCE2021-PaperTemplate.doc). They should NOT be submitted in duplication to any other regular or workshops in ICCE 2021. All submissions should be sent to AIDS.ED@gmail.com.
All accepted papers will be published in proceedings, submitted to Elsevier for inclusion in Scopus.
All submitted papers have to undergo the same single-blind review process (three completed reviews per paper). Technical reviewers will be members of the technical program committee and qualified peer-reviewers nominated by organizers.
About Organizers
Assoc.Prof. Tossapon Boongoen (email: tossapon.boo@mfu.ac.th) has been working in the areas of AI, machine learning and ensemble methodology for the past 15 years. Specific to ensemble modeling that will be implemented in this project, he and his team have frequently invented and published new techniques in world-leading journals, such as IEEE Transactions of Pattern Analysis and Machine Intelligence, IEEE Transactions of Knowledge and Data Engineering, Machine Learning, Bioinformatics, Expert Systems with Applications. Over the past 4 years, he has received a number of research grants as the PI, including: Newton Fund IAPP 2017, STFC-GCRG 2017, STFC-GCRF 2018 (in collaboration with University of Sheffield and Northumbria University), and Newton Institutional Link 2020/21 (in collaboration with Aberystwyth University). Dr Boongoen has served as associate editors for top international journals like IEEE Access, PeerJ Computer Science, and International Journal of Artificial Intelligence, which receive the rank of SJR Q1 in 2020.
Prof. Qiang Shen (email: qqs@aber.ac.uk) is Pro Vice-Chancellor: Faculty of Business and Physical Sciences, and is based in the Advanced Reasoning Group (ARG) with the Department of Computer Science at AU. He has led a range of academic and industrial research projects, e.g., currently he is the PI for two EU and Welsh Government cofounded grants and a CoI on the £5.5M EPSRC grant for the UKRI CDT in AI, Machine Learning and Advanced Computing. He has authored 400+ peer-reviewed papers (including several receiving major international publication awards). Prof. Shen has been the first supervisor for 60+ PhDs/PDRAs, including on CPHC/BCS Distinguished Dissertation Award winner.
Dr. Changjing Shang (email: cns@aber.ac.uk) is an internationally recognised expert in data mining, image classification and intelligent systems, with applications to system monitoring, space robotics and medical diagnosis. She currently serves as an Associate Editor for Human-centric Computing and Information Sciences and has acted as a guest editor or editorial board member of several other international journals. Dr Shang has chaired and given invited talks at a number of national and international conferences, in the areas of computational intelligence and big data. She has: held a significant number of research grants, mostly funded by the UK Royal Academy of Engineering, EU and Welsh Government; supervised 20 PhD students or post-doctorate research fellows; and published approximately 200 peer-reviewed articles, including three best paper awards as the senior author.
Dr. Shao-Chen Chang (email: shao.chen76@gmail.com) is an assistant professor at International bachelor program in informatics and the Dept. of information communication, Yuan Ze University. Dr. Chang received his Ph.D. degree from of the Graduate Institute of Applied Science and Technology at National Taiwan University of Science and Technology in Taiwan in Feb 2018. He serves as an editorial board member and a reviewer for more than 10 academic journals. His research interests are mainly focus on the mobile learning, digital game-based learning, big data and AI in education. Dr. Chang has published more than 30 academic papers, including 24 academic journal papers, in which 20 papers are published in well-recognized SSCI journals. He is also served as a counseling Professor at Technology-supported Promotion program for High school in Taiwan.
Prof. Taesu Cheong (email: tcheong@korea.ac.kr) received the B.S. degree in industrial engineering from Korea University, South Korea, in 1998, the M.S. degree from the Korea Advanced Institute of Science and Technology, Daejeon, South Korea, in 2001, and the Ph.D. degree in industrial and systems engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2011. He is currently a Professor with the School of Industrial and Management Engineering, Korea University. His research interests include machine learning, stochastic optimization and reinforcement learning with applications in transportation, supply chain management, healthcare management, and information system management.
Dr. Kraisak Kesorn (email: kraisakk@nu.ac.th) is an Associate Professor in the Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Thailand. He holds a Ph.D. in Electronic Engineering and Computer Science from Queen Mary, University of London, United Kingdom. He has participated in several national research projects and has been a reviewer for many world-class publishers including IEEE Transactions, Springer Nature, Wiley & Sons, and Elsevier’s journals. He is currently receiving research grants from the Thailand Research Fund (TRF), Office of Higher Education Commission and Science Faculty, Health Systems Research Institute, Thailand Science Research Innovation (TSRI), and Naresuan University. His research interests include semantic multimedia retrieval, knowledge-based modeling for multimodal information retrieval, semantic data processing and data science methodologies in biomedical and health information.
Dr. Chih-Hung Chen (email: duke.chchen@gmail.com) is currently an assistant professor at the Master Program of Professional Teacher, National Taichung University of Education. He obtained his Ph.D. from the Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology in Taiwan. His research interests include artificial intelligence in education, mobile learning, digital game-based learning, science education and teacher education.