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Bylines, paper authorship, correspondence addresses and the founder blurb under each post named an individual. They name the organisation that published the work instead: the brand on posts and pages, the research byline on papers, and research@ in place of a personal address. Both are what these repositories already used elsewhere — nothing new was coined. Co-authors are untouched. Where a paper named someone else alongside, they stay named; only the one byline changed. Bibliography entries, running heads, PDF metadata and affiliations move with it, so a citation still resolves to whoever the cited paper names. Sample and fixture data uses the placeholder name these tests already use elsewhere, so no assertion changed meaning. Co-authored-by: Hanzo Dev <[email protected]>
145 lines
6.8 KiB
TeX
145 lines
6.8 KiB
TeX
\section{Conclusion}
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\label{sec:conclusion}
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We have presented ZooEd, a decentralized adaptive learning system for conservation education that combines Bayesian knowledge tracing, ecologically grounded spaced repetition, and multi-modal multi-language assessment.
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A 14-month deployment across 23 sites in 11 countries demonstrates substantial improvements in knowledge retention (34\%), field task transfer (28\%), and learner engagement (41\%) compared to traditional curricula.
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Key technical contributions include the Conservation Competency Ontology spanning 2,847 learning objectives, the SREC algorithm that leverages IoT sensor data for contextual reinforcement, and a calibrated LLM-based assessment pipeline supporting 47 languages.
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All components are released under the Zoo Improvement Proposal framework as ZIP-007, with the aspiration that adaptive, accessible conservation education becomes a global public good.
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Future work will extend the system to support collaborative learning scenarios, integrate augmented reality for field-based instruction, and develop specialized modules for climate change adaptation education.
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% ============================================================
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% References
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% ============================================================
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\begin{thebibliography}{30}
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\newblock On the cross-lingual transferability of monolingual representations.
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\bibitem[Brewer(2020)]{brewer2020conservation}
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Brewer, C. (2020).
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\newblock Conservation education partnerships in practice.
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\newblock {\em Conservation Biology}, 34(3):701--710.
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\bibitem[Corbett and Anderson(1994)]{corbett1994knowledge}
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Corbett, A.~T. and Anderson, J.~R. (1994).
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\newblock Knowledge tracing: Modeling the acquisition of procedural knowledge.
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\newblock {\em User Modeling and User-Adapted Interaction}, 4(4):253--278.
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\newblock Effectiveness of intelligent tutoring systems: A meta-analytic review.
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\newblock Deep knowledge tracing.
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\newblock Gamification in environmental education: A systematic review.
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\newblock The blockchain and kudos: A distributed system for educational record, reputation and reward.
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\newblock {\em Proceedings of EC-TEL}, pages 490--496.
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Shin, D., Shim, Y., and Yu, H. (2021).
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\newblock SAINT+: Integrating temporal features for EdNet correctness prediction.
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\newblock The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems.
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\newblock {\em Educational Psychologist}, 46(4):197--221.
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\newblock Dynamic key-value memory networks for knowledge tracing.
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\bibitem[Zoo Labs Foundation Research(2025a)]{zoo2025dso}
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\newblock Decentralized Semantic Optimization: Collaborative knowledge curation on distributed networks.
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\bibitem[Zoo Labs Foundation Research(2025b)]{zoo2025poai}
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\newblock Proof of AI: Consensus mechanisms for verifiable machine learning.
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\bibitem[Zoo Labs Foundation Research(2025c)]{zoo2025network}
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\end{thebibliography}
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