Designing Appropriate Learning Technologies for School vs Home Settings in Tanzanian Rural Villages
Abstract
Smartphone- and tablet-based learning systems are often posited as solutions for closing early literacy gaps between rural and urban regions in emerging economies. These systems are often developed based on experiences with students in urban contexts, limiting their success rates with children from rural areas who have had little to no prior exposure to technology. To explore how such technologies are used in different learning contexts, we deployed an early literacy learning application in school and home settings in a rural village in Tanzania. We use Rogoff's theory of instructional models to understand and describe the interaction between learners, adults, and peers. We found that in the presence of a school teacher, the instructional model was primarily "adult-run" where information was almost entirely disseminated by the teacher, while in home settings, the instructional model was similar to a "community-of-learners" model where children collaborate with other peers and adults to achieve their learning goals. We use these instructional models to surface six themes of support and scaffolding that were expressed differently across settings, and discuss the benefits and drawbacks of the instructional models observed in providing support across these themes.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AIEd systems have great potential to address inequities in education, for example by filling gaps in the educational services otherwise available to learners.
“AIEd systems have great potential to address inequities in education, for example by filling gaps in the educational services otherwise available to learners (Madaio et al., 2020; Saxena et al., 2018; Uchidiuno et al., 2018).”
From Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education? (2021) · cites this paper as Uchidiuno et al., 2018
Cites
Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory
Corbin, J., & Strauss, A. (2008) · SAGE · doi:10.4135/9781452230153 · Cited by 12,136 · see citing works
Social relationships and motivation in middle school: The role of parents, teachers, and peers.
Wentzel, K. R. (1998) · Journal of Educational Psychology · doi:10.1037/0022-0663.90.2.202 · Cited by 1,828 · see citing works
Remedying Education: Evidence from Two Randomized Experiments in India
Banerjee, A. V., Cole, S., Duflo, E., & Linden, L. (2007) · The Quarterly Journal of Economics · doi:10.1162/qjec.122.3.1235 · Cited by 1,398 · see citing works
Acquisition of computing literacy on shared public computers: Children and the "hole in the wall"
Mitra, S., Dangwal, R., Chatterjee, S., Jha, S., Bisht, R. S., & Kapur, P. (2005) · Australasian Journal of Educational Technology · doi:10.14742/ajet.1328 · Cited by 198 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates
Holmes, W., & Porayska-Pomsta, K. (2022) · doi:10.4324/9780429329067 · Cited by 258 · see citing works
Holstein, K., & Doroudi, S. (2021) · arXiv · doi:10.48550/arxiv.2104.12920 · Cited by 29 · see citing works
“, Kizilcec, Saltarelli, Reich, & Cohen, 2017; O'Shea, 1979; Reich & Ito, 2017; VanLehn, 2011; 2016), or by filling gaps in existing educational services (e.g., Madaio et al., 2020; Saxena, Pillai, & Mostow, 2018; Uchidiuno et al., 2018).”
Background
- Authors
- Uchidiuno, J., Yarzebinski, E., Madaio, M., Maheshwari, N., Koedinger, K., & Ogan, A.
- Affiliations
- Carnegie Mellon University (US)
- Carnegie Mellon University, Pittsburgh, PA, USA
- Venue
- Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
- Publisher
- ACM
- Published
- 2018-06-20
- Pages
- 1-11
- OpenAlex
- W2808887932
- Cited by
- 34
- References
- 4
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 3 · 2023: 1 · 2022: 4 · 2021: 8 · 2020: 4 · 2019: 7
- FWCI
- 3.73
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) (publishedVersion)
- Funders
- Jacobs Foundation
- Topics
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Social Sciences › Education › Education in Rural Contexts
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Keywords
- early literacy, mobile learning, rural education, community of learners, peer collaboration, scaffolding, Tanzania
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review