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Faculty Readiness for AI-Supported Teaching and Scalable Online Program Delivery in Higher Education: The EPIQ-AI Framework for Epistemic Integrity

● high · 2026-04-02faculty-development, ai-literacy, higher-ed, academic-integrity, teacher-ai-competency, institutional-change-framework-ai, assessment-validity

Synthesis: Sangwa, Ndahayo & Dusengumuremyi (2026) develop the EPIQ-AI Readiness Framework synthesizing data from 2020-2025 to explain how institutions can align faculty capacity, governance, and quality assurance for AI-supported teaching. Key finding: faculty readiness is a sociotechnical alignment problem, not an individual skills deficit.

Four EPIQ-AI Domains

  • Epistemic Readiness: Faculty confidence and depth of AI understanding — adoption is widespread but pedagogical clarity remains limited.
  • Pedagogical Readiness: Course design support, AI integration strategies, and Instructional Design alignment.
  • Institutional Readiness: Policy maturity, governance structures, and Faculty Development investment.
  • Quality and Compliance: Assessment integrity and the limits of detection-centred Academic Integrity regimes.

    • Key Findings

  • Faculty AI adoption is widespread but depth of use and confidence vary dramatically
  • Assessment is the central pressure point — detection tools are unreliable and insufficient for high-stakes decisions
  • Readiness reframed: Not an individual skills gap but a sociotechnical alignment problem shaped by governance, incentives, workload, and AI Literacy support

    • Implications

    This framework connects directly to Institutional Change Framework AI and Teacher AI Competency research. The finding that detection-centred integrity regimes are unreliable echoes Plagiarism Detection and has implications for Assessment Validity and Academic Integrity policies.

    Connected Concepts

  • Faculty Development
  • AI Literacy
  • Higher Ed
  • Academic Integrity
  • Teacher AI Competency
  • Assessment Validity
  • Instructional Design

    • Connected Articles

  • Teacher AI Adoption Confidence
  • Institutional Change Framework AI
  • AI Assessment Scale Reform
  • Raza Farooq AIED Review 2020 2025

    • Citation

    Sangwa, S., Ndahayo, C., & Dusengumuremyi, F. (2026). Faculty Readiness for AI-Supported Teaching and Scalable Online Program Delivery in Higher Education: The EPIQ-AI Framework for Epistemic Integrity. EdArXiv. doi:10.35542/osf.io/kj4vt_v1.