L@S 2019
| L@S 2019 | |
|---|---|
6th ACM Conference on Learning at Scale
| |
| Event in series | L@S |
| Dates | 2019/06/24 (iCal) - 2019/06/25 |
| Homepage: | https://learningatscale.acm.org/las2019/ |
| Twitter account: | @LearningAtScale |
| Location | |
| Location: | Chicago, Illinois, USA |
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| Committees | |
| General chairs: | David Joyner |
| PC chairs: | John C. Mitchell, Kaska Porayska-Pomsta |
| Table of Contents | |
| Tweets by @LearningAtScale | |
Example topics: Specific topics of relevance include, but are not limited to:
- Novel assessments of learning, including those drawing on computational techniques for automated, peer, or human-assisted assessment.
- New methods for validating inferences about human learning from established measures, assessments, or proxies.
- Experimental interventions that show evidence of improved learning outcomes, such as
- Domain independent interventions inspired by social psychology, behavioural economics, and related fields, including those with the potential to benefit learners from diverse socio-economic and cultural backgrounds
- Domain specific interventions inspired by discipline-based educational research that may advance teaching and learning of specific ideas or theories within a field or redress misconceptions.
- Heterogeneous treatment effects in large experiments that point the way towards personalized or adaptive interventions
- Methodological papers that address challenges emerging from the “replication crisis” and “new statistics” in the context of Learning at Scale research:
- Best practices in open scie nce, including pre-planning and pre-registration
- Alternatives to conducting and reporting null hypothesis significance testing
- Best practices in the archiving and reuse of learner data in safe, ethical ways
- Advances in differential privacy and other methods that reconcile the opportunities of open science with the challenges of privacy protection
- Tools or techniques for personalization and adaptation, based on log data, user modeling, or choice.
- Approaches to fostering inclusive education at scale, such as:
- The blended use of large-scale learning environments in specific residential or small-scale learning communities, or the use of sub-groups or small communities within large-scale learning environments
- The application of insights from small-scale learning communities to large-scale learning environments
- Learning environments for neurodevelopmental, cultural, and socio-economic diversity
- Usability, efficacy and effectiveness studies of design elements for students or instructors, such as:
- Status indicators of student progress or instructional effectiveness
- Methods to promote community, support learning, or increase retention at scale
- Tools and pedagogy such as open learner models, to promote self-efficacy, self-regulation and motivation
- Log analysis of student behaviour, e.g.:
- Assessing reasons for student outcome as determined by modifying tool design
- Modelling learners based on responses to variations in tool design
- Evaluation strategies such as quiz or discussion forum design
- Instrumenting systems and data representation to capture relevant indicators of learning
- New tools and techniques for learning at scale, such as:
- Games for learning at scale
- Automated feedback tools, such as for essay writing, programming, and so on
- Automated grading tools
- Tools for interactive tutoring
- Tools for learner modelling
- Tools for increasing learner autonomy in learning and self-assessment
- Tools for representing learner models
- Interfaces for harnessing learning data at scale
- Innovations in platforms for supporting learning at scale
- Tools to support for capturing, managing learning data
- Tools and techniques for managing privacy of learning data
The conference is co-located with and immediately precedes the 2019 International Conference on AI in Education in the same city and venue.
The conference organizers are:
John C. Mitchell, Stanford University, Program Co-Chair Kaska Porayska-Pomsta, University College London, Program Co-Chair David Joyner, Georgia Institute of Technology, General Chair
Facts about "L@S 2019"
| Acronym | L@S 2019 + |
| End date | June 25, 2019 + |
| Event in series | L@S + |
| Event type | Conference + |
| Has coordinates | 41° 52' 32", -87° 37' 28"Latitude: 41.875561111111 Longitude: -87.624422222222 + |
| Has general chair | David Joyner + |
| Has location city | Chicago + |
| Has location country | Category:USA + |
| Has location state | Illinois + |
| Has program chair | John C. Mitchell + and Kaska Porayska-Pomsta + |
| Has twitter | @LearningAtScale + |
| Homepage | https://learningatscale.acm.org/las2019/ + |
| IsA | Event + |
| Start date | June 24, 2019 + |
| Title | 6th ACM Conference on Learning at Scale + |
