Knowledge Mapping for Data-Informed Teaching
Join Professor Jeremy Manning to explore the potential of Knowledge Mapper, a tool designed to model how conceptual knowledge changes through learning, to inform teaching practice.
Location
DCAL (Baker 102)
Sponsored by
Dartmouth Center for the Advancement of Learning (DCAL), Learning Design and Innovation
Audience
Faculty, Postdoc, Staff, Students-Graduate
Registration required
What if we could see the contours of our students' understanding as it changes over the course of the term? What if they could see it, in real time, for themselves? Using a natural language processing model, Professor Jeremy Manning and his lab developed a tool for modeling how conceptual knowledge is acquired during learning, termed knowledge mapping. In this session, Manning will demonstrate Knowledge Mapper and invite discussion of how such a tool could support more data-informed teaching and effective individualized learning.
Location
DCAL (Baker 102)
Sponsored by
Dartmouth Center for the Advancement of Learning (DCAL), Learning Design and Innovation
Audience
Faculty, Postdoc, Staff, Students-Graduate
Registration required
