Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Karis Boyd-Sinkler

dblp:211/4988 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-9124-3400ORCID · verified

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

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous 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.

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

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

TopicWeightPapersLastEvidence papers
Computing education › AI education
K-12 AI education
1.012026
Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving · AAAI 2026
Computing education
robotics education
1.012026
Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving · AAAI 2026

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

narrative-driven problem solving · 1.0
YearPublicationVenuePosition
2026 Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving
abstract
As artificial intelligence (AI) becomes increasingly prevalent in society, there is a critical need for accessible K-12 educational resources that introduce students to AI and robotics concepts through engaging, hands-on experiences. In this paper, we present a scalable workshop framework that uses narrative-driven problem solving to teach fundamental AI and autonomous systems concepts to students in grades 5-12. Developed through a collaboration between AI researchers and education specialists, Bot Blitz employs Sphero RVR+ robots within immersive storylines ranging from fairground rescue missions for younger students to urban traffic management scenarios for high schoolers. Preliminary observations from workshops with 56 students show high engagement levels and successful completion of programming challenges.
Sandra Roach, Karis Boyd-Sinkler, Visrut Sudhakar, Shaundra B. Daily, Miroslav Pajic, Whitney McCoy
AAAI2
2017 An exploratory study on inclusion of visual representations of thermodynamics-related problems
abstract
Engineering students conceptualize problems in diverse ways depending how the problems are presented. In this study, we investigate how different representations of problems, such as with images and sketches versus traditional word description of problems, allow students to recall information. Some students experience difficulties visualizing a concept when given a word problem while others do not have the same difficulty. A plausible explanation is that students who have less difficulties may be more creative problem solvers or have a better understanding of the material. Data for this study was taken from 132 students enrolled in an introductory thermodynamics course in a large Midwestern university. Half of the participants (n=65) were asked to recognize applications of Laws of Thermodynamics in comparison to the other half (n=67) who were presented with images and asked to identify which Law of Thermodynamics was being depicted. We hypothesized that a higher percentage of students presented with only the images would answer correctly questions of the Laws of Thermodynamics compared to the students who were presented with a standard text description of the problems and asked to answer the questions. The results did not corroborate with our hypothesis. Findings revealed nearly identical performance. In this exploratory study, we discuss outcomes in terms of the underlying links between students' abilities to recall information and the potential of visual representations to enhance learning of thermodynamics-related concepts.
Adetoun O. Yeaman, Karis Boyd-Sinkler, Diana Bairaktarova
FIE2