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From Classroom to Cloud: An AI-Driven Approach to Developing Free, Inclusive, and Scalable Digital Learning Resources for Underserved Students

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Title: From Classroom to Cloud: An AI-Driven Approach to Developing Free, Inclusive, and Scalable Digital Learning Resources for Underserved Students
Language: English
Authors: Sachin Sharma
Source: Online Submission. 2026.
Peer Reviewed: N
Page Count: 30
Publication Date: 2026
Document Type: Reports - Evaluative
Education Level: Elementary Education
Secondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Inclusion, Electronic Learning, Educational Resources, Educational Technology, Students with Disabilities, Economically Disadvantaged, Hard of Hearing, Elementary School Students, Secondary School Students, Foreign Countries, Mathematics Skills, Problem Solving, Gamification, Diagnostic Tests, Computation, Thinking Skills, Science Process Skills, Human Capital, Open Educational Resources
Geographic Terms: India
Abstract: Access to quality education remains deeply unequal worldwide, and AI-powered learning tools overwhelmingly serve well-resourced institutions rather than the students who need them most. This report presents a 13-year, practice-based effort to close that gap, using India as a case study. In Phase I (2023-2025), a mixed-methods quasi-experimental pilot intervention delivered AI-generated bilingual (English-Hindi) study materials, interactive assessments, and captioned tutorials to economically disadvantaged and hearing-impaired learners. Of 69 students enrolled, 31 completed the intervention with complete matched pre- and post-test data and were analysed; their mean English-vocabulary scores rose from 13.61/41 (33%) to 38.00/41 (93%)--a statistically significant gain (paired t(30) = 43.3, p < 0.001; Cohen's d = 7.8), with every participant improving. Phase II documents the design and engineering of Vidaara (vidaara.org), a free, AI-assisted, multilingual platform that scales these principles to 915+ authored chapters across 12 subjects and Grades 1-12, with virtual laboratories, an embedded step-by-step mathematics solver, and multi-stakeholder dashboards. The report proposes a cluster-randomised research agenda to evaluate foundational mathematics learning in Grades 1-8. The platform architecture and methodology are deliberately transferable to low-resource educational contexts globally. [This research report was prepared by Udgam Welfare Foundation.]
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED682093
Database: ERIC
FullText Text:
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  Data: From Classroom to Cloud: An AI-Driven Approach to Developing Free, Inclusive, and Scalable Digital Learning Resources for Underserved Students
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  Data: Access to quality education remains deeply unequal worldwide, and AI-powered learning tools overwhelmingly serve well-resourced institutions rather than the students who need them most. This report presents a 13-year, practice-based effort to close that gap, using India as a case study. In Phase I (2023-2025), a mixed-methods quasi-experimental pilot intervention delivered AI-generated bilingual (English-Hindi) study materials, interactive assessments, and captioned tutorials to economically disadvantaged and hearing-impaired learners. Of 69 students enrolled, 31 completed the intervention with complete matched pre- and post-test data and were analysed; their mean English-vocabulary scores rose from 13.61/41 (33%) to 38.00/41 (93%)--a statistically significant gain (paired t(30) = 43.3, p &lt; 0.001; Cohen&#39;s d = 7.8), with every participant improving. Phase II documents the design and engineering of Vidaara (vidaara.org), a free, AI-assisted, multilingual platform that scales these principles to 915+ authored chapters across 12 subjects and Grades 1-12, with virtual laboratories, an embedded step-by-step mathematics solver, and multi-stakeholder dashboards. The report proposes a cluster-randomised research agenda to evaluate foundational mathematics learning in Grades 1-8. The platform architecture and methodology are deliberately transferable to low-resource educational contexts globally. [This research report was prepared by Udgam Welfare Foundation.]
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  Data: 2026
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  Data: ED682093
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED682093
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 30
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Inclusion
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Educational Resources
        Type: general
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Students with Disabilities
        Type: general
      – SubjectFull: Economically Disadvantaged
        Type: general
      – SubjectFull: Hard of Hearing
        Type: general
      – SubjectFull: Elementary School Students
        Type: general
      – SubjectFull: Secondary School Students
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Mathematics Skills
        Type: general
      – SubjectFull: Problem Solving
        Type: general
      – SubjectFull: Gamification
        Type: general
      – SubjectFull: Diagnostic Tests
        Type: general
      – SubjectFull: Computation
        Type: general
      – SubjectFull: Thinking Skills
        Type: general
      – SubjectFull: Science Process Skills
        Type: general
      – SubjectFull: Human Capital
        Type: general
      – SubjectFull: Open Educational Resources
        Type: general
      – SubjectFull: India
        Type: general
    Titles:
      – TitleFull: From Classroom to Cloud: An AI-Driven Approach to Developing Free, Inclusive, and Scalable Digital Learning Resources for Underserved Students
        Type: main
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            NameFull: Sachin Sharma
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          Dates:
            – D: 01
              M: 08
              Type: published
              Y: 2026
          Titles:
            – TitleFull: Online Submission
              Type: main
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