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Human-guided design framework for GenAI-enabled assessment in computer science education

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The paper advances a pedagogically grounded framework in which GenAI assessment integration is governed by deliberate human design rather than technological capability alone. It states that "the successful integration of GenAI depends not solely on technological capability but on deliberate, human-guided design that upholds transparency, fairness, and educational purpose." The framework positions educators as guides who balance GenAI's automation and personalization affordances against integrity, bias, and transparency risks in computer science education.

Design Implications

Context

Requirements

  • Educators must actively design and oversee GenAI-supported assessment rather than adopting tools on capability alone

Constraints

  • The framework is argued for theoretically, drawing on contemporary literature and emerging use cases, and is not empirically tested in the paper

Target Learners

  • higher education computer science students

Learning Goals

  • authentic and fair assessment of computing learning outcomes

Claims

Examples

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Key Sources

  • Zhan, S., & Chapman, E. (2026). Harnessing Generative Artificial Intelligence in Computer Science Education: Pedagogical Innovation, Ethical Responsibility, and the Future of Assessment. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/wakxak53
Page metadata
Field Value
type design
id human-guided-genai-assessment-design-framework-cs
title Human-guided design framework for GenAI-enabled assessment in computer science education
description The paper advances a pedagogically grounded framework in which GenAI assessment integration is governed by deliberate human design rather than technological capability alone.
status review
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — zhan-2026

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