Workshop Topics

PRASAE 2023 focusses on innovative learning strategies related to peer- and self-derived feedback:

• Peer review and peer assessment
• Group assessment and collaborative assessment
• Self assessment
• Peer tutoring

We seek paper submissions considering these learning strategies in education, in contexts such as (but not limited to):

• VLEs, MOOCs, web-based learning scenarios, mobile learning, and smart learning environments
• Combining such learning strategies with the educational process in schools and universities
• Their applications in context of informal and self-driven education
• Exploring their relation with social learning and other learning theories
• Development and evaluation of pedagogy and didactic methodology for applying such learning strategies
• Acceptance, motivation and other psychological aspects of these learning strategies
• Meta assessment and other techniques improving such learning strategies
• Analysis and evaluation of learner's outputs from tasks related to these learning strategies
• Development of applications and tools supporting tasks related to these learning strategies
• Use-cases, evaluation, experience

Submission Requirements

Submissions of (a) original research results, (b) summaries of results recently published, as well as (c) survey papers, and (d) position papers are encouraged. The selection of papers will be based on originality and contribution on one hand, but also on the potential to bring interesting discussion topics to the workshop.

All submitted papers will be peer-reviewed by at least 3 members of the program committee. Successful papers will be accepted for presentation. All presented papers will be included in the SETE 2023 conference proceedings in Springer series Lecture Notes in Computer Science (LNCS).

One registration for each accepted paper will be required.

Please refer to submission guidelines for further details.