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Basil Tikoff

dblp:129/3932 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
analogical reasoning
0.312018
Sketch Worksheets in STEM Classrooms: Two Deployments · AAAI 2018
Learning and educational technologies › multimedia learning
sketch-based learning
0.312018
Sketch Worksheets in STEM Classrooms: Two Deployments · AAAI 2018
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology
0.112018
Sketch Worksheets in STEM Classrooms: Two Deployments · AAAI 2018

Methods — techniques the papers use, named apart from their topics

structure-mapping engine · 0.7cogsketch · 0.7
YearPublicationVenuePosition
2018 Sketch Worksheets in STEM Classrooms: Two Deployments
abstract
Sketching can be a valuable tool for science education, but it is currently underutilized. Sketch worksheets were developed to help change this, by using AI technology to give students immediate feedback and to give instructors assistance in grading. Sketch worksheets use visual representations automatically computed by CogSketch, which are combined with conceptual information from the OpenCyc ontology. Feedback is provided to students by comparing an instructor’s sketch to a student’s sketch, using the Structure-Mapping Engine. This paper describes our experiences in deploying sketch worksheets in two types of classes: Geoscience and AI. Sketch worksheets for introductory geoscience classes were developed by geoscientists at University of Wisconsin-Madison, authored using CogSketch and used in classes at both Wisconsin and Northwestern University. Sketch worksheets were also developed and deployed for a knowledge representation and reasoning course at Northwestern. Our experience indicates that sketch worksheets can provide helpful on-the-spot feedback to students, and significantly improve grading efficiency, to the point where sketching assignments can be more practical to use broadly in STEM education.
Kenneth D. Forbus, Bridget Garnier, Basil Tikoff, Wayne Marko, Madeline Usher, Matthew D. McLure
AAAI3
2013 Spatial Gestures Point the Way: A Broader Understanding of the Gestural Referent
Kinnari Atit, Ilyse Resnick, Thomas F. Shipley, Carol Ormand, Cathryn Manduca, Tilbe Göksun, Basil Tikoff
CogSci7