Special Session
"Smart Engineering Education: Concepts, Pedagogy, Systems, and Technology – SEE'19"

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Overview

based on implementation and active utilization of 1) artificial intelligence, 2) big data, 3) data analytics and machine learning algorithms, 4) sophisticated smart software/hardware systems and smart technology on campuses and in the classrooms, including virtual and remote labs, and 5) innovative technology-based teaching strategies and learning styles. Our approach for a design and development of Smart Education (SmE), Smart University (SmU) and Smart Pedagogy (SmP) is based on the idea that SmE, SmU and SmP – as smart systems – should demonstrate significant maturity at various “smartness” levels, including their abilities for 1) adapting, 2) sensing (awareness), 3) inferring (logical reasoning), 4) selflearning, 5) anticipating, and 6) self-organizing. This special session will call for papers with the up-to-date outcomes of on-going research, design and development projects that are predominantly focused on various topics of Smart Engineering Education, Smart Engineering University, Smart Campus and Smart Pedagogy for Science, Technology, Engineering and Mathematics (STEM). Additionally, a special part of this session will be dedicated to various aspects of accommodations for college students with disabilities in STEM education.

Topics

Smart Engineering Education

• Conceptual frameworks
• Smart Learning Environments: features, infrastructure, systems, and technology
• Smart Classrooms: features, infrastructure, systems, and technology
• Virtual and remote labs
• Software and hardware systems, and technology
• Educational applications of smart technology and smart systems
• Smart Learning Analytics
• Smart assessment and testing
• Smart blended, distance, online and open education
• Requirements for instructor's skills and faculty development
• Best practices and case studies
• Partnerships, national and international projects
• Standards and policies
• Economics of smart education

Smart Pedagogy for Science-Technology-Engineering-Math (STEM) Education

• Conceptual frameworks
• Learning-by-Doing, Active Learning, and Experiential Learning
• Project-based Learning
• Analytics-Based Learning
• Games-Based Learning and Gamification of Learning
• Adaptive Learning
• Collaborative Learning
• Flipped Classroom Learning
• Smart curriculum and courseware design and development
• Best practices and case studies

Smart University and Smart Campus

• Conceptual frameworks
• Smart University: management, analytics, and quality assurance
• University-wide (campus-wide) smart systems and smart technology for teaching,
• learning, research, collaboration, communication, management, and security
• Smart Campus: concepts, systems, and technology
• Academic (institutional) analytics
• Best practices and case studies

Smart University and Students with Disabilities

• Concepts, approaches, systems, and technology
• International, national and regional projects
• University-wide assistance centers for students with disabilities
• Best practices and case studies
• National standards, policies, and procedures for college students with disabilities in STEM education

Pogramm Committee

Chair

• Dr. Vladimir Uskov, Prof. of Computer Science and Director of the InterLabs Research Institute at Bradley University, U.S.A., uskov@bradley.edu
• Dr. Jeffrey P. Bakken, Associate Provost for Research and Dean of The Graduate School at Bradley University, U.S.A., jbakken@bradley.edu

Members

• Dr. Luis Anido-Rifon, University of Vigo, Spain
• Dr. Elena Barbera, Universitat Oberta de Catalunya, Spain
• Dr. Dumitru Burdescu, University of Craiova, Romania
• Dr. Nunzio Casalino, Guglielmo Marconi University and LUISS Business School, Italy
• Dr. Michele Cole, Robert Morris University, USA
• Dr. Jean-Pierre Gerval, ISEN, France
• Dr. Karsten Henke, Ilmenau University of Technology, Germany
• Dr. Maung Htay, Radford University, USA
• Dr. Alexander Ivannikov, Russian Academy of Sciences, Russia
• Dr. Ekaterina Prasolova-Forland, Norwegian University of Science and Technology, Norway
• Dr. Valeri Pougatchev, Voronezh State technical University, Russia
• Dr. Danguole Rutkauskiene, Kaunas University of Technology, Lithuania
• Dr. Adriana Burlea Schiopoiu, University of Craiova, Romania
• Dr. Wenhuar Tarng, National Tsing Hua University, Taiwan
• Dr. Heinz-Dietrich Wuttke, Ilmenau University of Technology, Germany
• Dr. Larissa Zaitseva, Riga Technical University, Latvia

Submission

Please find instructions and templates here: Paper Preparation.

Important Dates