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Wendy Staffen

dblp:245/3569 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-6611-8026ORCID · corroborated

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

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

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%
Theoretical computer science
1 paper
Logic in computer science · 100%

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

TopicWeightPapersLastEvidence papers
Computing education › k-12 education
k-12 computing education
0.412019
A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming · AAAI 2019
Logic in computer science
logic programming
0.412019
A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming · AAAI 2019

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

logic programming · 0.8
YearPublicationVenuePosition
2023 An Integrated Approach to Data Science Foundations in Computing, Mathematics and Statistics
abstract
To address the challenge of teaching the interdisciplinary foundations of data science in computing, mathematics and statistics, we propose a mathematical logic based framework to seamlessly and coherently integrate these foundations. A 8-week module based on the framework is implemented in a high school. The results show an overall feasibility of the integrated approach.
Yuanlin Zhang 0002, Hanxiang Du, Wendy Staffen, Wanli Xing 0001, Joshua Archer
SIGCSE (2)3
2019 A Preliminary Report of Integrating Science and Computing Teaching Using Logic Programming
abstract
This paper presents a framework to integrate Science and Computing teaching using Logic Programming. We developed two modules: one for chemistry and the other for chemistry and physics. They are implemented in an elective course for 8th graders. Through clinical interviews, video taped class observations, exit interviews and our own experiences with the class, Logic Programming based approach is accessible to the students.
Yuanlin Zhang 0002, Jianlan Wang, Fox Bolduc, William G. Murray, Wendy Staffen
AAAI5