In this session, the presenters discuss findings and experiences regarding technology-embedded assessment and how to support teachers in using it effectively.
Understanding, exploring, and interacting with the world through models characterizes science in all its branches and at all levels of education. Model-based reasoning is central to science education and thus science assessment. Building on research in assessment, science education, and learning sciences, this report provides a set of desgin patterns to help assessment designers, researchers, and teachers create tasks for assessing aspects of model-based reasoning: Model Formation, Model Use, Model Elaboration, Model Articulation, Model Evaluation, Model Revision, and Model-Base
We present a conceptual framework for designing and analyzing illustrations used in science assessment. This conceptual framework is intended to help test developers to systematically create and examine illustrations used in science test items. Unlike previous approaches to examining illustrations, which rely on the use of vague or polysemic terms
In this session, the presenters discuss findings and experiences regarding technology-embedded assessment and how to support teachers in using it effectively.
In this interactive talk, Wilson will ask each project to make explicit its assumptions about how teachers learn, the forces that matter the most, and how the logic and components of programs reflect those underlying assumptions. Wilson will then consider that array of assumptions in light of relevant scholarship on teaching quality and teacher learning.
Join the panelists from the plenary presentation to continue conversations about common standards in each of the STEM disciplines.
The significance of inquiry skills is widely acknowledged in science practice across many areas. Unlike experimentation, another form of inquiry skill, observational investigation has been much ignored in science education and thus science assessment. Drawing on reserach development in assessment design, this report provides a design pattern to help assessment designers create tasks assessing students' complex scientific reasoning skills in observational investigation. The design pattern lays out considerations regarding targeted knowledge and skills in this inquiry proces
The significance of inquiry skills is widely acknowledged in science practice across many areas. Carrying out experimental investigations is an indispensable element of scientific inquiry and, therefore, an important capability to assess.
Presenters discuss creating and evaluating a substantial revision of an existing assessment of early mathematics using emerging, multidimensional, cognitive and psychometric, theoretical models.
Advancing understanding of how early learning of mathematics progress is dependent on the development of good measures. Presenters of this session produced the “Research-based Early Mathematics Assessment” (REMA), and now better understand its limitations. They are now creating and evaluating a substantial revision of the REMA using emerging multidimensional theoretical models, both cognitive and psychometric. The development of this instrument will lead to substantive advances in the fields of mathematics education research, cognitive psychology, and psychometric theory.
