The workshop "Web Engineering in Education" is scheduled to take place as part of the Workshop at the International Conference "The International Conference on Web Engineering" (ICWE 2022) and invites scientists to participate in the discussion of issues related to Web engineering in education and its various aspects at all levels and in all contexts.
The workshop aims to discuss with the professional community the latest achievements in the field of web engineering, the development of intellectual educational resources, teaching web engineering, and applying the achievements of web engineering in the field of education. Development of possible directions for further development of the education sector through the introduction of web engineering capabilities in the following areas:
1. Development of intellectual educational resources based on web engineering.
2. Monitoring the digital educational footprint.
3. Methods of teaching individual disciplines in web engineering.
4. Adaptive learning.
The Workshop may consider various topics, including, but not limited to, innovative research in the following areas:
- tools to assist in learning (intellectual educational resources),
- formation of competencies and demand in the labor market,
- course content
- the structure of the curriculum,
- teaching methods,
- methods of diagnostics, monitoring, evaluation,
- evaluation of alternative approaches.
Key Workshop Dates (11:59 p.m. Hawaiian Time)
Application Deadline: May 15, 2022
Notice of Acceptance: June 13, 2022
Presentation of the final version of the workshop materials: June 30, 2022
Workshop day: July 6, 2022
Conference: July 5-8, 2022
Abstracts, manuscripts up to 12 pages and short articles up to 6 pages written in English and formatted according to EasyChair templates must be submitted electronically. At the time of submission, you can choose to publish "Full Article" or "Short Article". Articles must be based on unpublished original work.
Workshop applications must be submitted as a PDF file for the workshop: firstname.lastname@example.org.
Solovyov Vladimir Igorevich, Doctor of Economics, Head of the Department of Data Analysis and Machine Learning, Financial University under the Government of the Russian Federation, Russian Federation, email@example.com.
Sosnovsky Sergey Aleksandrovich, Assistant Professor Universiteit Utrecht Department of Information and Computing Sciences, Netherlands, Utrecht, firstname.lastname@example.org, Intelligent Software Systems, Software Technology for Learning and Teaching.
Levin Ilya, Professor Department of Mathematics, Science and Technology Education, School of Education, Tel Aviv University, email@example.com.
Liang K, School of Electronic and Electrical Engineering, Shanghai Polytechnic University, Shanghai, China, firstname.lastname@example.org.
Trung-Hieu Le, Faculty of Information Technology, Hung Yen University of Technology and Education, Hungyen, Vietnam, email@example.com.
Yerbaev Yerbol Tulegovich, Senior Lecturer of the Higher School of Mechanical Engineering of the Industrial Technological Institute of the West Kazakhstan Agrarian Technical University. Zhangir Khan, Kazakhstan.
Mohiniso Bakhromovna Khidirova, Candidate of Physical and Mathematical Sciences, Senior Researcher, Scientific and Innovation Center for Information and Communication Technologies at the Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Uzbekistan.
Bublikov Konstantin V. Institute of Electrical Engineering of the Slovak Academy of Sciences (IEE SAS), Bratislava, Slovakia, firstname.lastname@example.org.
Stoyanov Stanimir N., Plovdiv University "Paisii Hilendarski", Department of Computer Systems, PhD, Professor, Plovdiv, Bulgaria,email@example.com.
Grozdev Sava Ivanov – Doctor of Pedagogy, Professor, Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences, academician of IHEAS, Sofia, Bulgaria, firstname.lastname@example.org.
Grigoriev Sergey Georgievich, Professor, Corresponding Member of the Russian Academy of Education, Doctor of Technical Sciences, Institute of Digital Education, Moscow City Pedagogical University, Moscow, Russia, email@example.com.
Nikitin Petr Vladimirovich, Candidate of Pedagogical Sciences, Associate Professor, Financial University under the Government of the Russian Federation, Associate Professor of the Department of Data Analysis and Machine Learning, Russian Federation, firstname.lastname@example.org.
Korchagin Sergey Alekseevich, Candidate of Physical and Mathematical Sciences, Financial University under the Government of the Russian Federation, Associate Professor of the Department of Data Analysis and Machine Learning, email@example.com.
Gorohova Rimma Ivanovna, Candidate of Pedagogical Sciences, Associate Professor, Financial University under the Government of the Russian Federation, Associate Professor of the Department of Data Analysis and Machine Learning, Russian Federation, +7(927)870-6171, RIGorokhova@fa.ru.