Demo Data from EDBT 2026 / reviewers in the wild / expert
Basil Tikoff
dblp:129/3932
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
analogical reasoning |
0.3 | 1 | 2018 | Sketch Worksheets in STEM Classrooms: Two Deployments · AAAI 2018 |
Learning and educational technologies › multimedia learning
sketch-based learning |
0.3 | 1 | 2018 | Sketch Worksheets in STEM Classrooms: Two Deployments · AAAI 2018 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology |
0.1 | 1 | 2018 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Sketch Worksheets in STEM Classrooms: Two DeploymentsabstractSketching 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 |
AAAI | 3 |
| 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 |
CogSci | 7 |