Four educational design objectives for course-specific AI support: course-specificity, independent learning, transparency and trust, and complementing existing teaching¶
Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 design),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
The article organises Beacon's educational design around four objectives: providing course-specific academic support aligned with module outcomes; supporting independent learning through explanations and guidance rather than complete solutions; promoting transparency and trust so students can verify where information originates; and complementing existing teaching practices by enhancing rather than replacing lecturer and tutor interaction. The authors state "RAGwasthereforeadoptednotsimplyasatechnicalsolution,butas aneducationaldesignchoicethatenablesAI‐generatedsupporttore maintransparent,contextuallyrelevant,andalignedwithinstitutional teachingpractices." These objectives informed each stage of development, from knowledge-base construction to interface design.
Design Implications¶
Context¶
Requirements¶
- Approved teaching materials are treated as the authoritative foundation for all responses, with the LLM functioning as the conversational interface rather than the primary source of knowledge.
Constraints¶
Target Learners¶
- higher education students in computing modules
Learning Goals¶
- module-aligned academic guidance
- independent learning
- trust and verification of AI-generated explanations
Claims¶
- Beacon Course Specific Rag Support System [+S]
- Students hold cautious trust in the course-specific RAG system, expressing some level of trust but not treating it as an authoritative source and indicating they would verify important information [+W]
- In an exploratory pilot, students perceived the course-specific RAG system's responses as highly aligned with course materials (89%) and helpful for assessment understanding [+W]
Related Designs¶
Examples¶
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Key Sources¶
- Andy Gray, Jake Hobbs. (2026). Reducing Barriers to Academic Support: Evaluating a Course-Specific RAG System for Addressing Help-Seeking Disparities in Higher Education. arXiv. https://arxiv.org/abs/2609.21600
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
four-design-objectives-course-specific-ai |
title |
Four educational design objectives for course-specific AI support: course-specificity, independent learning, transparency and trust, and complementing existing teaching |
description |
The article organises Beacon's educational design around four objectives: providing course-specific academic support aligned with module outcomes; supporting independent learning through explanations and guidance rath... |
status |
review |
generated |
by process:settle-candidates on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — andy-gray-2026 |
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