Incentives Of EdTech: A Systematic Review Of EduNLP Research
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Computer Science > Computers and Society
Title:Incentives Of EdTech: A Systematic Review Of EduNLP Research
Abstract:While the Natural Language Processing community has dedicated significant resources in developing educational technologies (EdTech) that support this shift, it remains unclear whose interests are being best served among the stakeholders of education.
In this paper, we present a systematic literature review of 204 papers published in venues of the Association for Computational Linguistics' Special Interest Group on Building Educational Applications in 2024 and 2025, and validate these against EdTech papers from the wider ACL Anthology. By examining stakeholder inclusion and the prioritisation of research tasks, our findings reveal a critical tension: a push and pull between private-sector incentives and the foundational needs of educational infrastructure. Our analysis reveals that teachers are systematically under-represented as beneficiaries of research (33.3%) despite being the most affected, that real-world deployment remains rare (9.8%), and that ethical engagement tends toward acknowledgement rather than action. Drawing on exemplary papers in our corpus, we offer concrete recommendations for more responsible EduNLP research practices.
| Comments: | 10 main pages (13 appendix pages), 20 figures, accepted to 21st Workshop on Innovative Use of NLP for Building Educational Applications @ ACL 2026 |
| Subjects: | Computers and Society (cs.CY); Computation and Language (cs.CL) |
| ACM classes: | I.2.7 |
| Cite as: | arXiv:2606.13691 [cs.CY] |
| (or arXiv:2606.13691v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2606.13691
arXiv-issued DOI via DataCite
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Submission history
From: Gabrielle Gaudeau [view email][v1] Wed, 13 May 2026 13:52:42 UTC (5,519 KB)
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