Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Unit
Browse By Session Type
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Sign In
X (Twitter)
Session Type: Paper Session
This session introduces five papers that use various innovative assessment approaches to either measure or predict students’ learning outcomes across different fields, such as oral reading fluency, reading skills, physical understanding and spatial abilities.
Can Acoustic Features of Students' Oral Reading Predict Their Oral Reading Fluency? A Machine-Learning Approach - Hyunah Kim, Education Quality and Accountability Office; Liam Hannah, University of Toronto; Eunice Eunhee Jang, University of Toronto
Different Roles of Knowledge and Reading Skills in Two Types of Reading Comprehension Tasks - Zuowei Wang, Educational Testing Service; Tenaha P. O'Reilly, ETS; John P. Sabatini, The University of Memphis
Mapping the Game Play Interaction Space to Facilitate Derivation of Learning-Related Measures - Gregory K.W.K. Chung, University of California - Los Angeles
Stealth Assessment and Adaptive Learning in Physics Playground - Valerie J. Shute, Florida State University; Seyedahmad Rahimi, University of Florida; Russell Almond, Florida State University
Measurement of Spatial Ability in an Interactive Mathematics Software: Theoretical Foundations and Relationship With End-of-Grade Mathematics Scores - Sarah Karamarkovich, North Carolina State University; Teomara Rutherford, University of Delaware