🏷️ curriculum-design
32 pages tagged with curriculum-design(26 articles, 6 concepts)
📄 The AI Literacy Heptagon: A Structured Approach to AI Literacy in Higher Education
> **Synthesis:** Hackl, Müller, and Sailer (2026) present the AI Literacy Heptagon, a structured seven-dimensional framework for AI literacy (AIL) in higher education, developed through an integrative…
📄 From Unified to Differentiated Materials: Generative AI–Supported Adaptation of EAP Reading Materials
> **Synthesis:** Gao (2026) examined whether generative-AI-supported adaptation of English for Academic Purposes (EAP) reading materials chiefly changes passage-level structural complexity or text-emb…
2026-08-13 · language-learning, generative-ai, personalized-learning, instructional-design, scaffolding
📄 AI-Generated Interactive Fiction for Educational Use: A Pilot Study of Perceived Comprehensibility, Coherence, and Engagement
> **Synthesis:** This pilot study (N = 22 STEM higher-education students) evaluates AI-generated interactive fiction as an educational medium. Narrative clarity and length acceptance rated positively,…
📄 Artificial Intelligence as Catalyst and Contested Terrain: Transforming Interior Design Practice, Pedagogy, and Professional Regulation in Malaysia
> **Synthesis:** This article examines how generative AI and intelligent visualization platforms are reshaping interior design practice in Malaysia, shifting designers from primary form-generators tow…
📄 Knowledge, Skills, Attitudes, Production: Competency-Based Education After Generative AI
> **Synthesis:** This conceptual paper proposes adding *production* — the capability to deliver professional-standard work by directing tools and other people — as a fourth attribute of competency-bas…
📄 Technology, Education and Critical Media Literacy: Potential, Challenges, and Opportunities
> **Synthesis:** Based on expert interviews and a survey of 141 university students in Communication and Education programs, this study finds that while technology offers real opportunities for teachi…
📄 Rethinking Higher Education: From Fixed Curricula to Learnity Graphs
> **Synthesis:** Szekely, Gal-Ezer & Harel (2026) argue that AI-mediated knowledge access warrants rethinking fixed higher-education curricula, proposing "learnity graphs" — structured representations…
📄 Curriculum as Code: An AI-Assisted Architecture for Instructional Design in STEM Education
> **Synthesis:** This paper presents a six-phase AI-assisted instructional design architecture based on the Curriculum as Code paradigm, integrating Generative AI with LaTeX and Python to automate the…
📄 Challenges for Musical Education in the Age of AI and Digital Transformation
> **Synthesis:** This paper maps the challenges that generative AI, streaming algorithms, and digital audio workstations pose for music education. Three converging transformations are examined: the ch…
📄 Reimagining feedback through generative AI in engineering education
> **Synthesis:** Pecuchova, Benko, and Drlik (2026) investigate the capacity of a large language model (GPTo1) to generate formative feedback for student-created UML diagrams in a university software …
2026-08-10 · generative-ai, formative-assessment, ai-feedback-quality, higher-ed, self-regulated-learning
📄 The Scaffolded AI literacy (SAIL) framework: Results of a Delphi study for equitable AI literacy framework design in education
> **Synthesis:** MacCallum, Parsons, and Mohaghegh (2026) report on a three-round Delphi study that created the Scaffolded AI Literacy (SAIL) framework — a broadly applicable, age-agnostic framework f…
🏷️ Faculty Development
> **Faculty development** — the processes, programs, and institutional supports that help educators develop the skills and confidence to teach effectively with AI. Faculty development spans individual…
🏷️ Instructional Design with AI
> **Instructional Design** — the systematic process of creating effective learning experiences through the analysis of learning needs and the design, development, implementation, and evaluation of ins…
📄 Mapping the Emerging Curriculum for AI-Assisted Software Engineering via Syllabus Analysis
> **Synthesis:** This paper analyses 23 publicly available syllabi from upper-division, credit-bearing university courses that teach AI-assisted software development. The study identifies common curri…
📄 CourseGraph: Finding overlaps and differences in Computer Science courses across universities
> **Synthesis:** This paper presents CourseGraph, a methodology for automatically evaluating external course equivalences by modelling course content as structured knowledge graphs. Designed for stude…
📄 EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners
> **EduClaw-Bench: A Long-Horizon Benchmark for Pedagogical LLM Agents with Simulated Learners** — Introduces a 30-day long-horizon benchmark for pedagogical LLM agents using simulated learners ground…
📄 Bridging Artificial Intelligence and Power Systems Education Using a Hands-On Executable Framework
> **An open, executable module library for engineering-grounded AI (EGAI) in power systems education lowers the entry barrier for newcomers, with a progressive difficulty ladder from DNN templates to …
📄 ConnectED: A Curriculum-Aligned AI System for Vietnamese Instructional Lesson Planning and Student Learning
> **Thang Doan Viet, Anh Nguyen Hoang, Tinh Luong Son, Anh Hoang Thi Ngoc, Huyen Giang Thi Thu, Tai Le Quy** — arXiv preprint (2026).…
📄 Principled AI Education Framework
> **Principled AI Education Framework** — A principled way to think about AI in education: guidance for educators and policy makers on action based on goals, models of human learning, and use of techn…
2026-07-29 · ai-literacy, instructional-design, generative-ai, zone-of-proximal-development, scaffolding
🏷️ Open Source
> **Open-source** AI in education is studied in [[lata-ferpa-compliant-local-llm-autograder]], [[vismatic-secure-sandbox-cs-education]], and [[open-source]] (tag) pages: local open models address [[pr…
📄 Reshaping Undergraduate Computer Science Education in the Generative AI Era
**Yi-Chieh Lee, Nattapat Boonprakong, Yugin Tan, Harold Soh et al.** — Workshop report from NUS-Google Workshops — cs.CY This white paper synthesizes findings from two international NUS-Google Worksho…
📄 Beyond Tool Adoption: A Practical Five-Stage Developmental Continuum for AI Literacy in Higher Education
Proposes a five-stage developmental continuum (Not Engaged, Uncritical Use, Informed Use, Critical Evaluation, Improvement) for AI literacy at NC State; the continuum doubles as a diagnostic tool for …
📄 The Main Barrier to AI Adoption in the Public Sector is Lack of Training
Through Brazilian government case studies, demonstrates that a four-layer pedagogical methodology (Literacy, Protocol, Prompt Engineering, Audit) is the key to productivity gains (up to 50%), rather t…
📄 ASE-26: A Curriculum for Agentic Software Engineering as a Discipline
Formalizes Agentic Software Engineering (ASE) as a distinct discipline. Proposes a 21-module curriculum focused on the "evolution of intent" and practitioner discipline required to manage agents rathe…
📄 Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics
> Experimental study comparing Guided vs. Unrestricted LLM access. Explicit training in reasoning-focused scaffolding (stepwise hints, verification) led to significantly better independent performance…
📄 Tracing GenAI Literacy: Student-AI Interaction Patterns in Academic Writing
> Identifies interaction signatures of LLM literacy using Epistemic Network Analysis (ENA) on logs from 162 students. High-literacy students exhibit iterative, strategic refinement and dense cognitive…
🏷️ Curriculum Design
> **Curriculum Design** — the process of planning and structuring what is taught across courses, programs, and institutions, including learning objectives, content sequencing, assessment strategies, a…
📄 Preparing Students for AI-Powered Materials Discovery: A Workflow-Aligned Framework for AI Literacy, Equity, and Scientific Judgment
This paper presents a workflow-aligned framework for preparing students to use AI in materials discovery. The authors argue that in materials science, the limiting factor is no longer only algorithmic…
📄 When Should Teachers Control AI Generation for Mathematics Visuals?
Generative AI can help teachers rapidly create classroom-ready visual materials, particularly in mathematics where diagrams and visual representations must be **pedagogically meaningful and instructio…
📄 LLMs for Culturally Relevant K-12 Pedagogy
> Explores LLMs to support K-12 teachers in designing culturally relevant pedagogy. An exploratory pilot with four K-12 teachers found the CulturAIEd tool enhanced teachers' confidence in identifying …
🏷️ Culturally Relevant Pedagogy
Culturally Relevant Pedagogy (CRP), introduced by Gloria Ladson-Billings (1995), centers marginalized students' cultural references in curriculum design. Wang et al. (2025) demonstrate that **LLMs can…
🏷️ K-12 AI Education
K-12 AI Education encompasses the integration of artificial intelligence literacy, tools, and pedagogical approaches into primary and secondary education. Recent research reveals three critical pillar…