5th Annual Academic Integrity & Assessments in an AI World Africa 2027

Programme

1. 01

   Day 1 · 17 March - Pre-conference workshop: From Assessment Task to Defensible Evidence, a hands-on assessment design workshop in the Gen AI era (facilitated by Dr VJ Maseko)

   • Workshop overview: the AI-Powered Bloom's Taxonomy Framework Plus (ABTF+), assessment challenges in the generative AI era, applying the six ABTF+ dimensions to authentic assessment design
   • Session 1 - Diagnose existing assessments: evaluate tasks, identify weaknesses and potential AI misuse, test whether tasks demonstrate genuine understanding
   • Session 2 - Reconstruct assessment tasks: align with learning outcomes, build in higher-order thinking and problem-solving, design authentic discipline-based activities
   • Session 3 - Specify AI-use conditions: define permitted, conditional and prohibited AI use, student AI-use guidelines and AI disclosure statements
   • Session 4 - Build defensible assessment evidence: drafts, source verification, reflection and oral explanations, aligned rubrics and performance criteria
   • Session 5 - Quality assurance and moderation: peer review of redesigned assessments, validity and alignment checks, moderation checklists
   • Live demonstrations with ABTF+ GPT: AI-assisted assessment diagnosis and redesign, AI-developed rubrics, verifying AI recommendations, keeping human oversight. Guiding principle: Human Directs, AI Assists, Human Decides
   • You leave with a redesigned assessment task, AI-use guidelines and disclosure statement, an assessment evidence framework, a draft rubric and a peer-review and moderation checklist. Please bring a laptop and, where available, existing assessment tasks and learning outcomes. No coding experience required
2. 02

   Days 2 & 3 · 18-19 March - Conference sessions 1 to 10

   • Keynote address: What are the new and emerging trends in academic misconduct? AI-giarism and ghostwriting, hallucinations and false citations, unreliable detection tools, institutional policy gaps
   • Panel discussion: The global policy dilemma in academic integrity and assessment - balancing ethical enforcement, equitable access and technological change in Africa
   • AI tools in examinations and assessments: the credibility of qualifications, a South African case study
   • Panel discussion: Major challenges to academic integrity in Africa in the AI era
   • The challenges of traditional assessment: moving away from rote memorisation and unreliable AI detection toward process-oriented learning
   • Shifting toward promoting and evaluating higher-order thinking, creativity and ethical reasoning in the AI era
   • Panel discussion: Ensuring academic integrity while embracing technology
   • Equipping educators and transforming academic assessments in the AI era: from black-box to glass-box grading, modelling responsible use, authentic assessment design
   • Using AI to support assessment and grading: first-pass scores, structured feedback and reduced grading workloads
   • How AI grading and AI assessment systems work: essential best practices and guardrails
3. 03

   Conference sessions 11 to 19

   • Evolving solutions and new directions in academic assessment: process-oriented learning, authentic and contextualised tasks, human-AI collaboration
   • Emerging solutions and strategic shifts in academic integrity and assessment in the AI era
   • Academic integrity in higher education: shifting from policing and punishment to a developmental, AI-integrated model ('Educate, Enable, Expect')
   • Building academic integrity and capacity in digital assessment in higher education, a USA case study
   • Which traditional forms of academic misconduct should educators continuously look out for? Self-plagiarism, AI-assisted patchwriting, student collusion and data plagiarism
   • Panel discussion: Academic integrity in the future - moving beyond detection tools to address assessment challenges in Africa in the AI era
   • Designing assessment that promotes deep learning and academic integrity: scaffolding, Bloom's taxonomy, oral and reflective components, lower-stakes frequent assessment
   • Aligning university assessment standards with the ethical AI skills expected by employers
   • Panel discussion: Strategies for addressing academic integrity and assessment challenges in Africa in the AI era