Intelligent Tutoring Systems, Serious Games, and the Generalized Intelligent Framework for Tutoring (GIFT)

reportActive / Technical Report | Accesssion Number: AD1158935 | Open PDF

Abstract:

Many of us have had the vision of learners acquiring STEM subject matters by being immersed in motivating learning environments (such as games) that advance learners to new levels of mastery. Concepts in STEM (science, technology, engineering, and mathematics) are complex and difficult, and require learning at deeper levels than merely memorizing facts, rules, and procedures.

Author(s):
Graesser, Arthur C. ; Hu, Xiangen ; Nye, Benjamin ; Sottilare, Robert A.
Author Organization(s):
UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES; University of Memphis; U.S. Army Research Laboratory
Funding Organization(s):
ARMY RESEARCH LAB ADELPHI MD, ADELPHI , MD ; OFFICE OF NAVAL RESEARCH ARLINGTON VA, ARLINGTON , VA
Document Type:
Technical Report/Book Chapter
Publication Date:
2015 Jan 01
Pagination:
40

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release

RECORD

Collection: TRECMS
Identifying Numbers
Grant Number(s):
W911INF-12-2-0030
Subject Terms
Modernization Areas:
AI and Machine Learning
Communities of Interest:
Biomedical
Descriptor(s):
cognitive science, artificial intelligence, natural languages, psychology, students, data mining, language, computers, deep learning, education, pedagogy, training, computer science, educational psychology, engineering, linguistics, natural language processing
Keyword(s):
Intelligent Tutoring Systems, Serious Games, GIFT(Generalized Intelligent Framework for Tutoring)
Subject Categories:
Mathematical and Computer Sciences; Behavioral and Social Sciences
Creation Date:
2022 Feb 07
Update Date:
2022 Apr 13