Invention Grant
- Patent Title: Deep knowledge tracing with transformers
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Application No.: US16899433Application Date: 2020-06-11
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Publication No.: US11631338B2Publication Date: 2023-04-18
- Inventor: Shi Pu , Michael Yudelson , Lu Ou , Yuchi Huang
- Applicant: ACT, INC.
- Applicant Address: US IA Iowa City
- Assignee: ACT, INC.
- Current Assignee: ACT, INC.
- Current Assignee Address: US IA Iowa City
- Agency: Davis Graham & Stubbs LLP
- Main IPC: G09B7/04
- IPC: G09B7/04 ; G06F17/16 ; G06N20/00

Abstract:
Digital learning or tutoring systems as described herein embed, by a trained machine learning knowledge tracing engine, an array for learner interactions X into a static representation ej corresponding to a prior learner interaction xj and determine a contextualized interaction representation hj based on this. Digital tutoring systems described herein calculate, by a masked attention layer of the trained machine learning knowledge tracing engine, an attention weight Aij based on a time gap between two learner interactions with the system, and can calculate a contextualized interaction representation hj, wherein the contextualized interaction representation hj is proportional to the attention weight Aij. The systems can provide for display at the GUI a second question item based on the contextualized interaction representation hj, the second question item corresponding to a recommended learner recommendation.
Public/Granted literature
- US20210390873A1 DEEP KNOWLEDGE TRACING WITH TRANSFORMERS Public/Granted day:2021-12-16
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