The workshop is focused on all the relevant topics for online higher education: learning methodologies, learning technologies, software, learning outcomes evaluation, educational data analysis, learning analytics and educational big data mining. The main aim is to bring together practitioners and researchers studying these topics and, in general, to personals involved at management and/or teaching level in institutions interested in distance learning. Participants will have the opportunity to exchange good practices and points of view about the future of methodologies and technologies regarding the online teaching-learning process. Moreover, a special focus will be done to the importance of mining useful knowledge from of the data generated on virtual learning environments and to the methods for improving the performances of the universities themselves.
The workshop will include parallel sessions organized in two main tracks:
· Online pedagogy and learning methodologies;
· Learning technologies, data analytics and educational big data mining as well as their applications.
Additionally, as the Covid-19 pandemic has heavily impacted the world of higher education, a cross-track on "Facing COVID19 Emergency in Higher Education Teaching" will be also arranged. Traditional universities had to converge towards distance learning in no time. On the other hand, the pandemic emergency has clearly boosted theories and practices of distance learning in higher education. The COVID-19 special track aims at gathering the efforts made by the higher education research community in defining frameworks and models for distance learning during pandemic.
Moreover, seven Special Tracks will be organized by valuable researchers under the umbrella of HELMeTO 2021. All abstracts submitted for a special track will undergo a review process as described in the Author Guidelines Section and must meet the same deadlines as described here.
TOPICS
The workshop covers, but is not limited to, the following topics:
- Pedagogical framework studies
- Learning models
- Learning outcomes
- On-line learning communities
- Blended Learning
- Online peer assessment
- Social learning
- Evaluation for online education
- Assessment Methods in online and Blended Learning Environments
- Assessment and Accreditation of Courses and Institutions
- Computer-Aided Assessment
- Community Building
- Context Dependent Learning
- Course Design and E-Learning Curricula
- Digital Libraries for E-Learning
- Distance and E-Learning in a Global Context
- E-Learning Platforms, Portals
- E-Testing and new Test Theories
- Distance Education
- Immersive Learning
- Learning Organization
- Mobile Learning (M-learning)
- Simulated Communities and Online Mentoring
- Supervising and Managing Student Projects
- Teacher Evaluation
- Digital Transformation in Public Bodies and Private Enterprises
- Online Training
- e-Health
- Open Education
- Security Aspects
- Standards and Interoperability
- Ontologies and Meta-Data Standards
- Theoretical Bases of E-Learning Environments
- Web-based Learning, Wikis and Blogs
- Educational Big Data Mining
- Learning Analytics
- Prediction of the students’ performance
- Design of proper retain strategies exploiting learning analytics and educational Big Data
HELMeTO Award
A Scientific Committee will award one contribution relating to the pedagogical-methodological area and one for the technological area. The "Prize" is reserved for extended abstracts accepted at the HELMeTO 2020 conference. All accepted contributions are automatically candidates for the prize. HELMeTO Award rules are available here.