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Alisa Acosta

dblp:144/5502 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0001-5190-0576ORCID · reported

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

Human-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.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › information visualization › knowledge visualization
educational visualization
0.112014
Supporting learners in collecting and exploring data from immersive simulations in collective inquiry · CHI 2014
Visualization and visual analytics
large display visualization
0.112014
Supporting learners in collecting and exploring data from immersive simulations in collective inquiry · CHI 2014

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

qualitative analysis · 0.4design-based research · 0.4
YearPublicationVenuePosition
2014 Supporting learners in collecting and exploring data from immersive simulations in collective inquiry
abstract
Digitally augmented physical spaces (e.g., smart classrooms) offer opportunities to engage students in novel and potentially transformative learning experiences. This paper presents an immersive rainforest simulation and collective inquiry activity where students collect observational data from the environment and explore their peers' data through large visualization displays and personal mobile devices. Two iterations of the design were tested, which resulted in higher quality student explanations constructed. Images were found to be an important source of evidence for the explanations, more so than text-only evidence. We also found that patterns of collective ideas influenced student performance, and that visualizations, as ambient or plenary displays, supported both teacher and students in reviewing patterns of collected data.
Michelle Lui, Alex Kuhn, Alisa Acosta, Chris Quintana, James D. Slotta
CHI3