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Saturday, March 19 • 10:00am - 10:45am
Automatic Knowledge Structure Measure in Online Courses

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Existing automatic writing evaluation (AWE) tools are typically used for summative purposes (i.e., scoring), based on linguistic assessment and/or implemented in the English language. However, our ALA-Reader system will be implemented in online courses as a formative structural AWE tool applicable to any language. The ALA-Reader immediately converts online students' writings into network graphs to reveal their content knowledge structure (KS) derived from writing assignments. If fully implemented in online courses, then online learners will be provided with visual KS feedback of their writings and also an instructor's KS network graph to indicate specific areas of their current knowledge strengths and weaknesses, regardless of which language is used. Roy Clariana, professor of education, will provide an overview of the ALA-Reader system and his research. Kyung Kim, doctoral student in the Learning, Design, and Technology program and principal investigator on the COIL-funded project "Exploratory Development of a Tool to Measure Learners' Knowledge Structure in Online Learning Courses," will describe the COIL project using the ALA-Reader system. JooYoung Seo, an instructional developer for accessibility in TLT and a master's student in the Learning, Design, and Technology program, will explain how online students with visual impairments are enabled to independently interact with the KS graphs using tablet-based haptic technology and paper-based tactile technology.


Saturday March 19, 2016 10:00am - 10:45am
Room 104

Attendees (11)