A/B Test 2020 - First Workshop on Educational A/B Testing at Scale
Topics/Call fo Papers
Call for Papers/Participation: First Workshop on Educational A/B Testing at Scale (at Learning-AT-Scale 2020)
August 12, 2020, virtual workshop, 12.30PM - 3.30PM EDT (USA)
http://learningatscale.acm.org/las2020/workshops/e...
"There is no simple path that will take us immediately from the contemporary amateurism of the college to the professional design of learning environments and learning experiences. The most important step is to find a place on campus for a team of individuals who are professionals in the design of learning environments — learning engineers, if you will." [2]
The emerging discipline of Learning Engineering is focused on putting into place tools and processes that use the science of learning as a basis for improving educational outcomes [3]. A/B testing can be an important part of this approach [1], but educational software tends to lag other fields in the use of A/B testing, particularly at scale. This workshop will explore ways in which A/B testing in educational contexts differs from its use in other domains and discuss proposals to overcome these challenges so that A/B testing can become a more useful tool in the learning engineer’s toolbox.
We invite papers (up to 4 pages in CHI Proceedings format) addressing issues with conducting A/B tests at scale, including:
• managing unit of assignment issues
• measurement, including both short and long-term outcomes
• practical considerations related to experimenting in school settings, MOOCs, & other contexts
• ethical and privacy issues
• relating experimental results to learning-science principles
• understanding use cases (core, supplemental, in-school, out-of-school, etc.)
• accounting for aptitude-treatment interactions
• A/B testing within adaptive software
• adaptive experimentation
• attrition and dropout
• stopping criteria
• User experience issues
• Educator involvement and public perceptions of experimentation
• Balancing practical improvements with generalizable science
Submission Details
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Submission Deadline: July 31, 2020
Acceptance Notification: by August 7, 2020
CHI2020 Proceedings Format: https://chi2020.acm.org/authors/chi-proceedings-fo...
EasyChair Submission Site: https://easychair.org/conferences/?conf=eduabtesta...
Papers will be reviewed by the workshop organizers and a small program committee.
August 12, 2020, virtual workshop, 12.30PM - 3.30PM EDT (USA)
http://learningatscale.acm.org/las2020/workshops/e...
"There is no simple path that will take us immediately from the contemporary amateurism of the college to the professional design of learning environments and learning experiences. The most important step is to find a place on campus for a team of individuals who are professionals in the design of learning environments — learning engineers, if you will." [2]
The emerging discipline of Learning Engineering is focused on putting into place tools and processes that use the science of learning as a basis for improving educational outcomes [3]. A/B testing can be an important part of this approach [1], but educational software tends to lag other fields in the use of A/B testing, particularly at scale. This workshop will explore ways in which A/B testing in educational contexts differs from its use in other domains and discuss proposals to overcome these challenges so that A/B testing can become a more useful tool in the learning engineer’s toolbox.
We invite papers (up to 4 pages in CHI Proceedings format) addressing issues with conducting A/B tests at scale, including:
• managing unit of assignment issues
• measurement, including both short and long-term outcomes
• practical considerations related to experimenting in school settings, MOOCs, & other contexts
• ethical and privacy issues
• relating experimental results to learning-science principles
• understanding use cases (core, supplemental, in-school, out-of-school, etc.)
• accounting for aptitude-treatment interactions
• A/B testing within adaptive software
• adaptive experimentation
• attrition and dropout
• stopping criteria
• User experience issues
• Educator involvement and public perceptions of experimentation
• Balancing practical improvements with generalizable science
Submission Details
----
Submission Deadline: July 31, 2020
Acceptance Notification: by August 7, 2020
CHI2020 Proceedings Format: https://chi2020.acm.org/authors/chi-proceedings-fo...
EasyChair Submission Site: https://easychair.org/conferences/?conf=eduabtesta...
Papers will be reviewed by the workshop organizers and a small program committee.
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Last modified: 2020-07-15 21:00:58