Quantification of Learning in Virtual Learning Environments

Due to the increasing availability of computers and technology, virtual learning is gaining popularity due to its accessibility and flexibility. Virtual learning can typically be grouped into two categories – asynchronous learning through courses on online learning platform such as Coursera, Skillshare, Khan Academy, Udemy, and synchronous learning through real-time seminars via platforms such as Zoom, Microsoft Teams. Both setups hope to retent learning in long-term memory for easy recall and transfer to different domains by incorporating some factors:

• when learning is accompanied by a motive and an interest (motivation)

• the more an individual repeats or practices a task or learning material (repetition)

• associating content to with real-life scenarios (association)

• available to choose different learning to meet different learning dispositions – e.g. visual learners, hands-on experience, scaffolding, etc.(engagement)

This workshop seeks to explore and discuss the following questions (but not limited to):

• Can asynchronous learning (allowing the repetition of content) help in retaining knowledge?

• Asynchronous VS Synchronous learning: Effectiveness and Efficiency

• Curriculum design using both asynchronous and synchronous learning components

• How do we know if the student achieves the learning outcomes?

• Is the use of assessment the best method for measuring learning outcomes?

• Can behavioral cues observed in a physical classroom be identified in a virtual classroom as well?  

• Are behavioral cues good indicators of learning engagement?

 We are calling for papers to address the following topics (not limited to):

• Knowledge tracing methods

• Design of assessment in asynchronous learning

• Measurement of student engagement in asynchronous/synchronous learning

• Methodologies to improve student engagement in virtual learning environments

• Retention in asynchronous /synchronous learning and more..

Paper Submission

Paper format

This workshop looks for Full and Short papers that follow the author guidelines of ICCE2023.

• Full paper (8-10 pages)

• Short paper (5-6 pages)

Please download the latest version of the Paper Template file in preparing your manuscript.

Double anonymized review

This workshop practices double-blind review, i.e., the authors of the submitting papers will not know who their referees are, while the referees will be aware of the authors of the papers that they are reviewing. Anonymization is no longer required in the submitted manuscripts.

Submission 

Please submit your paper via email to the WS chair: Cheryl Wong, Cheryl_Wong@i2r.a-star.edu.sg

All accepted papers will be published in proceedings, which will be submitted to Elsevier for inclusion in Scopus. All papers should follow the paper format of the main conference.