The TAGteam consists of talented individuals with backgrounds in computer science, engineering, human-computer interaction, human factors, graphic and interface design, psychology and sociology.
Computer Assisted Language Learning (CALL) has a long history of helping learners to develop their second language (L2) abilities. Mobile Assisted Language Learning (MALL) is a developing sub-area of CALL that uses mobile devices, like the iPhone or Android’s Nexus One, instead of a computer to deliver educational materials. However, most current MALL applications fail to fully exploit the affordances provided by mobile devices. One affordance that they could better explore is the use of contextual information (e.g., location or preferences) to provide learners with more appropriate support.
This MALL application for Android platforms will provide learners with context-specific vocabulary in order to support their L2 communication. To enable this scaffolding, a model of the learner’s preferences and vocabulary use will be built. This learner model will be built using a combination of learner entered data and logs of the learner’s actions as input to standard machine learning and statistical modeling techniques.
The created learner model will then be used to recommend personalized vocabulary that meets the learner’s communication needs and preferences based on the learner’s ever-changing context (location, activity, and preferences). This personalization will help ensure that the vocabulary support that is provided through the application will be relevant to each learner regardless of what he or she is doing.
Title: Interactive Event: Enabling Acquisition while Providing Mobile Communication Support
Authors: Carrie Demmans Epp, Stephen Tsourounis, Justin Djordjevic and Ronald M. Baecker
Date: 2013
Event: Artificial Intelligence in Education (AIED) 2013, Memphis, Tennessee, United States.
Title: Mobile Adaptive Communication Support for Vocabulary Acquisition
Author: Carrie Demmans Epp
Date: 2013
Event: Artificial Intelligence in Education (AIED). Memphis, Tennessee, United States
Title: Employing Adaptive Mobile Phone Applications for Scaffolding the Communication and Vocabulary Acquisition of Language Learners
Authors: Carrie Demmans Epp and Ronald M. Baecker
Date: 2012
Event: LearnLab’s Learning Science Workshop on the Use of Technology Toward Enhancing Achievement and Equity in the 21st Century, Pittsburgh, PA, USA
Title: Employing Adaptive Mobile Phone Applications for Scaffolding the Communication and Vocabulary Acquisition of Language Learners
Authors: Carrie Demmans Epp and Ronald M. Baecker
Date: 2012
Event: LearnLab’s Learning Science Workshop on the Use of Technology Toward Enhancing Achievement and Equity in the 21st Century, Pittsburgh, PA, USA.
Title: VocabNomad: an Adaptive Mobile Language Learning Tool
Authors: Naomi Cui, Amirreza Abdolmaleki, Carrie Demmans Epp and Ronald M. Baecker
Date: 2012
Event: University of Toronto Undergraduate Research Opportunities Program Poster Fair
Title: VocabNomad: a Context-Sensitive Application for Mobile Assisted Language Learning
Authors: Carrie Demmans Epp and Ronald M. Baecker
Date: 2011
Event: Young Researcher’s Track Poster at Artificial Intelligence in Education. Auckland, New Zealand.
There are no sponsors for this project
