Demo of JARET: A.I. Powered Web App for Goal Review and Time Management

Andrew Schwabe

doi:10.1145/3386527.3405954

Demo of JARET: A.I. Powered Web App for Goal Review and Time Management

Andrew Schwabe

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This demo will present the implementation of an A.I. powered web application designed to assist students with creation of a homework and study schedule. The intent of this project is to use key principles from Self-Regulated Learning and Cognitive Load Theory to translate the large, abstract problem of “creating a study and homework schedule from scratch” into a structured, repeatable set of review tasks. The system then uses a constraint satisfaction AI agent to recommend a weekly schedule of activities that supports the student to achieve the specified goals.

Original language	English
Title of host publication	L@S '20: Seventh (2020) ACM Conference on Learning @ Scale
Publisher	ACM
ISBN (Electronic)	978-1-4503-7951-9/20/05
DOIs	https://doi.org/10.1145/3386527.3405954
Publication status	Published - 12 Aug 2020

Keywords

SRL
AI
CP

Access to Document

10.1145/3386527.3405954Licence: Unspecified

Cite this

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title = "Demo of JARET: A.I. Powered Web App for Goal Review and Time Management",

abstract = "This demo will present the implementation of an A.I. powered web application designed to assist students with creation of a homework and study schedule. The intent of this project is to use key principles from Self-Regulated Learning and Cognitive Load Theory to translate the large, abstract problem of “creating a study and homework schedule from scratch” into a structured, repeatable set of review tasks. The system then uses a constraint satisfaction AI agent to recommend a weekly schedule of activities that supports the student to achieve the specified goals. ",

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KW - AI

KW - CP

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M3 - Conference contribution

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PB - ACM

ER -

Demo of JARET: A.I. Powered Web App for Goal Review and Time Management

Abstract

Keywords

Access to Document

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