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Measure of Perceptions and Learning Within Instructional Technology Contexts
Fri, April 17, 12:00 to 1:30pm, Virtual RoomSession Type: Paper Session
Abstract
This session focuses on measuring learning through the proposal of a learning status prediction method, school-wide one-to-one technology integration, e-text annotations, the relationship between technology use and importance for learning, and the impact of intervention strategies on technology implementation.
Sub Unit
Chair
Discussant
Papers
Identifying the At-Risk Students Based on Recurrent Neural Network–Informed Logistic Regression Model - bo pei, University of Florida; Wanli Xing, University of Florida
One-to-One Technology Integration and High Pedagogical Practices: Technology, Dignity, and Democracy in the Middle School - Marie K. Heath, Loyola University Maryland
Students' Use of e-Text Annotations for Learning - Joshua Quick, Indiana University - Bloomington; Christopher Daren Andrews, Indiana University - Bloomington; Adam Maksl, Indiana University
The Effective Integration of Information and Communications Technology Tools Within a Particular Discipline to Enhance Teachers' Professional Development - Orit Avidov-Ungar, Achva Academic College & Open University of Israel; Aliza Amir, Achva Academic College
The Relationship Between Technology Use, Value, and Effectiveness for Learning in Higher Education Contexts - Zhicheng Zhang, George Mason University; Helen E. Fake, George Mason University; Nada Dabbagh, George Mason University