We propose simple CNN deep-learning models that take in spatio-temporal representations of individual student roles and behavior annotations as input for group collaboration assessment.
Towards Explainable Student Group Collaboration Assessment Models Using Temporal Representations of Individual Student Role and Behavioral Cues
In this paper we propose using simple temporal-CNN deep-learning models to assess student group collaboration that take in temporal representations of individual student roles as input.
Getting on the Same Page using Scenario-Based Learning: An Alignment of Education and Industry Goals for Technician Education
The current report examines the alignment of a set of scenario-based learning materials with two sets of relevant industry standards.
Is Alignment Enough? Investigating the Effects of State Policies and Professional Development on Science Curriculum Implementation
This paper focuses on teachers’ perceptions of curricular alignment and on curriculum implementation using empirical data from a statewide systemic inquiry science reform effort targeting students from kindergarten to eighth grade.