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Demo Data from EDBT 2026 / reviewers in the wild / expert

Anssi Lin

dblp:367/5867 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computing education
AI education		 0.912025
A Versatile Low-Cost Kit for Teaching Novice Learners AI Using Robotics Components and a No-Code Development Playground · AAAI 2025
Computing education › AI education
K-12 AI education		 0.912025
A Versatile Low-Cost Kit for Teaching Novice Learners AI Using Robotics Components and a No-Code Development Playground · AAAI 2025

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

no-code development · 0.9
YearPublicationVenuePosition
2025 A Versatile Low-Cost Kit for Teaching Novice Learners AI Using Robotics Components and a No-Code Development Playground
abstract
In the fast-growing field of K–12 AI education, there is an urgent need for accessible, hands-on tools that introduce AI concepts and workflows to novice learners. In recent years, a variety of AI education tools have been introduced, ranging from coding environments to physical kits and robots. To provide an alternative to existing AI education tools, this paper presents a low-cost robotics kit (
Anssi Lin, Anssi Salonen, Nicolas Pope, Henriikka Vartiainen, Matti Tedre
 AAAI1