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Joelle Hannon-Cropp

dblp:245/6074 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 2Artificial intelligence and machine learning · 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 · 44% Collaborative and social computing · 44% Accessibility and assistive technology · 13%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › cognitive accessibility
low-literate users
0.112020
Collective Support and Independent Learning with a Voice-Based Literacy Technology in Rural Communities · CHI 2020

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

observation · 0.4interviews · 0.4deployment study · 0.4
YearPublicationVenuePosition
2020 Collective Support and Independent Learning with a Voice-Based Literacy Technology in Rural Communities
abstract
Access to literacy is critical to children's futures, but formal education may be insufficient for fostering early literacy, especially in low-resource contexts. Educational technologies used at home may be able to help, but it is unclear whether or how children (and families) will use such technologies at home in rural communities, particularly in low-literate families. In this paper, we investigate these questions with a voice-based literacy technology deployed with families in 8 rural communities in Côte d'Ivoire for 4 months. We use interviews and observations with 37 families to investigate motivations, methods, and barriers for rural families' engagement with a literacy technology accessible via feature phones. We contribute insights into how families view digital literacy as a learning goal, leverage networks of supporters, and over time, transition from explicit to implicit support for children's learning.
Michael A. Madaio, Evelyn Yarzebinski, Vikram Kamath Cannanure, Benjamin Zinszer, Joelle Hannon-Cropp, Fabrice Tanoh, Akpe Yapo Hermann, Axel Blahoua Seri, Kaja Jasinska, Amy Ogan
CHI5
2019 "You give a little of yourself": family support for children's use of an IVR literacy system
abstract
Low levels of childhood literacy in global contexts may be mitigated by educational technologies, however, these technologies often rely on parents of sufficient literacy to effectively support their children. Given low levels of adult literacy in many low-resource contexts, we investigate the nature of low-literate adult support for children's use of a literacy technology designed to foster early literacy precursors. We deployed an interactive voice response (IVR) system with 38 families in a rural village in Côte d'Ivoire using the IVR for 5 weeks in their homes. Using call log data and grounded theory analyses of IVR observations and interviews, we find evidence that families leverage complex support networks where family members support children's use of the IVR in different ways, via a collective network of intermediaries. These results suggest opportunities to scaffold low-literate family supporters for educational technologies.
Michael A. Madaio, Vikram Kamath Cannanure, Evelyn Yarzebinski, Shelby Zasacky, Fabrice Tanoh, Joelle Hannon-Cropp, Justine Cassell, Kaja Jasinska, Amy Ogan
COMPASS6