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Methods of Support for Online Learners (Table 11)
Fri, April 12, 4:55 to 6:25pm, Pennsylvania Convention Center, Floor: Level 200, Exhibit Hall BSession Type: Roundtable Session
Sub Unit
Chair
Papers
Machine Learning Applications for At-Risk Students Prediction in Online Learning Environments: A Systematic Review and Quality Assessment - Hui Shi, Florida State University; Nuodi Zhang, Florida State University; Hunhui Na, University of North Carolina - Charlotte; Secil Caskurlu, Florida State University
Manifest Indicators of Mental Fatigue in Online Higher Education: A Scoping Review - Fatemeh Marzban, Texas Tech University; Fethi A. Inan, Texas Tech University
Supporting Post-COVID Adolescent and Adult Learner Recovery and Growth in Mathematics Through Personalized Learning Technology - Bozhidar M. Bashkov, IXL Learning; Michael J Turley, Leadership Spectrum Consulting, Inc.; Christina C Schonberg, IXL Learning; Mary Hargis, IXL Learning; Xiaozhu An, IXL Learning
Collaborative Approaches to Supporting Students With Learning Disabilities in Online Schools - Breauna C. Wall, CollaborativeEd Solutions
Identifying Potentially Problematic Questions in Online Learning for Literacy - Emilia Hidalgo, University of British Columbia; Carla Hudson Kam, University of British Columbia; Carrie Demmans Epp, University of Alberta