1. Repository of the International Society of Learning Sciences
  2. Conferences
  3. ICLS 2020
Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/6437
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCaccamise, Donna
dc.contributor.authorQuigley, David
dc.contributor.authorWeatherley, John
dc.contributor.authorLieber, Rachel
dc.contributor.authorFoltz, Peter
dc.date.accessioned2020-07-08T23:53:48Z
dc.date.accessioned2020-07-09T04:29:38Z-
dc.date.available2020-07-08T23:53:48Z
dc.date.available2020-07-09T04:29:38Z-
dc.date.issued2020-06
dc.identifier.citationCaccamise, D., Quigley, D., Weatherley, J., Lieber, R., & Foltz, P. (2020). Building Knowledge From Challenging Text: Issues Associated with Moving Pedagogy from Traditional Classroom Delivery to an AI Enhanced Differentiated Instruction. In Gresalfi, M. and Horn, I. S. (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 3 (pp. 1775-1776). Nashville, Tennessee: International Society of the Learning Sciences.en_US
dc.identifier.urihttps://doi.dx.org/10.22318/icls2020.1775
dc.identifier.urihttps://repository.isls.org//handle/1/6437-
dc.description.abstractA comprehensive classroom curriculum to help students learn from challenging text was re-invented in a web-based, individualized instruction platform. However, challenges emerge when moving a traditional classroom curriculum to individualized instruction with embedded AI. Overall, we found issues by classroom level, teacher, student, and application development requirements, and offer some solutions that we have implemented in our iterative, ongoing design process. We intend this poster to serve as a catalyst to discuss these issues.en_US
dc.language.isoenen_US
dc.publisherInternational Society of the Learning Sciences (ISLS)en_US
dc.subjectDesignen_US
dc.titleBuilding Knowledge From Challenging Text: Issues Associated with Moving Pedagogy from Traditional Classroom Delivery to an AI Enhanced Differentiated Instructionen_US
dc.typePosteren_US
Appears in Collections:ICLS 2020

Files in This Item:
File SizeFormat 
1775-1776.pdf155.92 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.