EDBT 2026 Demo / reviewers in the wild / expert
Seth Corrigan
dblp:163/5120
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2024
0000-0003-2368-871XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 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.
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
stakeholder perspectives |
0.8 | 1 | 2024 | Teachers, Parents, and Students' perspectives on Integrating Generative AI into Elementary Literacy Education · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
workshop · 0.8interviews · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Teachers, Parents, and Students' perspectives on Integrating Generative AI into Elementary Literacy EducationabstractThe viral launch of new generative AI (GAI) systems, such as ChatGPT and Text-to-Image (TTL) generators, sparked questions about how they can be effectively incorporated into writing education. However, it is still unclear how teachers, parents, and students perceive and suspect GAI systems in elementary school settings. We conducted a workshop with twelve families (parent-child dyads) with children ages 8-12 and interviewed sixteen teachers in order to understand each stakeholder’s perspectives and opinions on GAI systems for learning and teaching writing. We found that the GAI systems could be beneficial in generating adaptable teaching materials for teachers, enhancing ideation, and providing students with personalized, timely feedback. However, there are concerns over authorship, students’ agency in learning, and uncertainty concerning bias and misinformation. In this article, we discuss design strategies to mitigate these constraints by implementing an adults-oversight system, balancing AI-role allocation, and facilitating customization to enhance students’ agency over writing projects. Ariel Han, Xiaofei Zhou 0004, Zhenyao Cai, Shenshen Han, Richard Ko, Seth Corrigan, Kylie Peppler |
CHI | 6 |
| 2021 | Work-in-Progress- - Synapse VR: Catalyzing Collaboration Through Immersive LearningabstractThis work-in-progress paper describes a pilot of an immersive learning experience called Synapse VR in a biopsychology course on campus at Southern New Hampshire University with undergraduate students conducted in early 2020 by faculty and staff. Theories of cooperative learning and positive interdependence informed the team's coordination of the VR app's assessment framework and classroom delivery model to ensure learning design components promoting self-regulation and co-regulation of learning were accentuated. Synapse VR's first classroom pilot generated a set of suggested learning experience design practices for educators seeking to implement immersive learning experiences in college classrooms. Cat Flynn, Seth Corrigan, Faby Gagné |
iLRN | 2 |
| 2015 | Dynamic Approaches to Modeling Student Affect and its Changing Role in Learning and Performance
Seth Corrigan, Tiffany Barkley, Zachary A. Pardos |
UMAP | 1 |