Call for Submissions

Theme: Governing GenAI for Competency-Based Higher Education

Host Institution: Egerton University, Njoro, Kenya

Publication Partner: Egerton Journal of Science and Technology (Special Issue)

Overview

We invite faculty, researchers, university administrators, curriculum developers, quality assurance officers, and student leaders to participate by submitting short paper proposals documenting real-world implementations, measured outcomes, and lived experiences with Generative AI (GenAI) in higher education institutions, particularly within Competency-Based Education (CBE) frameworks.

The submission process follows a two-stage pathway:

  • Summit Presentation Stage: Authors submit a 1-page Extended Abstract (of completed work or work-in-progress) for review to present during the Summit experience-sharing panels.
  • Journal Publication Stage: Following the Summit, authors submit their full 5 to 10 page short papers for double-blind peer review for publication in a Special Issue of the Egerton Journal of Science and Technology.

Themes

Submissions must demonstrate the actual impact of Generative AI adoption within one or more of the following four areas:

  • GenAI in Learning: Case studies on the impact of GenAI on student study habits, adaptive self-paced mastery learning, skill acquisition, cognitive retention, critical inquiry, and authentic problem-solving in competency-based frameworks.
  • GenAI in Teaching: Case studies on the impact of GenAI on authentic performance assessment redesign, rubric alignment, evaluating demonstrated skill competencies vs. AI prompt generation, faculty efficiency, course delivery, and human-in-the-loop instruction.
  • GenAI in Research: Case studies on the impact of GenAI on scientific discovery velocity, literature synthesis, grant proposal development, data analytics, research data management, and ethical compliance.
  • GenAI in Administration: Case studies on the impact of GenAI on administrative workflow automation, student support response systems, turnaround times, operational cost savings, data privacy, and institutional decision-making.

Paper Format & Structure

Submission Requirements:

  • Stage 1 (Pre-Summit Extended Abstract): 1-page high-level summary outlining completed work or work-in-progress.
  • Stage 2 (Final Manuscript for Special Issue): Max 10 pages (inclusive of tables, figures, and references).
  • Review Format: Double-Blind Peer Review. Authors must remove all identifying information (names, affiliations, self-referential institutional details) from the manuscript submitted for peer review.

Stage 1: Extended Abstract Structure (Max 1000 Words)

To ensure consistency and allow evaluators to assess potential fit for both Summit presentation and journal publication, the 1-page extended abstract (for both Completed Work and Work-in-Progress) must incorporate all elements of the final manuscript in condensed form:

Element Guidelines for the extended abstract:

  • Title & Target Pillar: Clear title indicating the initiative and specifying which pillar it primarily addresses (Learning, Teaching, Research, or Administration).
  • Submission Classification: Indicate whether the submission reflects Completed Work (fully collected data) or Work-in-Progress (ongoing implementation with baseline/preliminary data).
  • Abstract & Keywords: Concise summary (100 words) and 3 to 5 keywords.
  • Institutional Context & Baseline Problem: Brief description of the institutional setting, target users, and the core educational/competency gap GenAI was chosen to address.
  • GenAI Intervention Strategy: Specific GenAI tools, prompts, algorithms, or platforms deployed and how they were integrated into CBE workflows or instruction.
  • Methodology & Evaluation Strategy: Methods used (or being used) to collect data (e.g., competency rubrics, performance analytics, turnaround time tracking, authentic skill evaluations).
  • Measured or Anticipated Impact:
    • For Completed Work: Concrete, quantitative/qualitative empirical outcomes and observed changes in skill acquisition or faculty assessment speed.
    • For Work-in-Progress: Preliminary results, trends, and expected target impact metrics.
  • Ethical Considerations & Challenges: Observed or anticipated risks regarding accuracy/hallucinations, bias, data privacy, access equity, or authentic assessment integrity.
  • Policy Takeaways: Direct, practical takeaways that can feed into the Summit's Day 2 Policy Drafting Workshop.

Stage 2: Case Study Paper Structure (Max 10 Pages)

Authors preparing final manuscripts for the journal Special Issue will expand their extended abstract into a complete 7-part paper structure:

Section Details:

  • Title & Abstract: Concise summary of the implementation, key findings, and policy takeaways.
  • Institutional Context: Background on the institution, faculty, department, or administrative unit, and the specific problem GenAI was intended to solve.
  • Intervention / GenAI Implementation Strategy: Details of the GenAI tools, platforms, prompt methodologies, or administrative workflows introduced.
  • Methodology & Data Collection: Methods used to evaluate impact (e.g., performance rubrics, grade/skill analytics, time-to-task measurements, qualitative feedback).
  • Measured Impact & Empirical Results: Concrete data demonstrating impact (positive or negative) on competency performance, efficiency, learning outcomes, or research velocity.
  • Ethical Considerations & Challenges: Observed issues regarding accuracy ("hallucinations"), data privacy, algorithmic bias, access equity, or assessment integrity.
  • Policy Implications: Specific, actionable recommendations derived from the experience to inform institutional policy drafting.

Review Process & Publication Pathway

  • Stage 1 Review: Extended abstracts will be evaluated for relevance to the four core pillars.
  • Presentation: Twenty (20) selected authors will be invited present their findings during parallel showcase panels at the 2026 Summit (10 minute presentation + interactive Q&A).
  • Poster Presentations: All other accepted extended abstracts will be invited to make poster presentations.
  • Double-Blind Peer Review: Final short paper manuscripts (2–5 pages) undergo double-blind peer review by an international technical committee.
  • Special Issue Publication: Peer-reviewed and accepted manuscripts will be published in a Special Issue of the Egerton Journal of Science and Technology.

Important Dates

MilestoneDate
Call for Extended Abstracts OpeningSeptember 3, 2026
Submission Deadline: 1-Page SummarySeptember 25, 2026
Notification of Acceptance for Summit PresentationOctober 5, 2026
2026 AI Summit Presentation14th – 15th October 2026
Submission Deadline: Final Full Paper (2–5 Pages)December 1, 2026
Double-Blind Review & Camera-Ready RevisionsDecember 2026 – February 2027
Special Issue Publication ReleaseMarch 2027

Submission Instructions

  • Summaries and full manuscripts must be formatted using standard 12pt font, single-spaced, with 1-inch margins (PDF format).
  • Ensure manuscripts submitted for journal peer review are fully anonymized (no author names, institutional acknowledgments, or identifying URLs).
  • Submit abstracts via https://forms.gle/xxFwYg47cyYKpeU48 
    Submit Abstract Online

Registration Fees

  1. Students: KES 1,500
  2. Kenyans: KES 5,000
  3. International Participants: KES 10,000

Payment Details

MPESA
Paybill: 522522
Account Number: 1101907525

Bank Details
Bank Name: Kenya Commercial Bank Ltd
Account Name: Egerton University
Account Number: 1101907525
Swift: KCBLKENX
Bank Code: 01
Branch Code: 252

Registration Deadline: 5th October

Inquiries: aisummit@egerton.ac.ke