🏷️ instructional-design
29 pages tagged with instructional-design(22 articles, 7 concepts)
📄 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…
📄 Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
> Marquez-Carpintero, Lopez-Sellers & Cazorla (2025) present a thematic review of empirical and methodological studies using LLMs to [[simulating-students|simulate student behavior]] in education. The…
🏷️ Universal Design for Learning
> **Universal Design for Learning (UDL)** — an educational framework that designs instruction to be accessible and effective for the widest range of learners by proactively building in flexible means …
📄 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…
2026-08-11 · curriculum-design, lifelong-learning, higher-ed, knowledge-graph, personalized-learning
📄 From Prompts to Verified Loops: The PCHL-HE Framework for Generative AI-Assisted Educational and Research Content Creation in Higher Education
> **Synthesis:** This conceptual preprint develops the Prompt-Context-Harness-Loop Framework for Higher Education (PCHL-HE), a pedagogically grounded vocabulary that differentiates four increasingly c…
📄 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…
📄 Human-Centric Artificial Intelligence Pedagogy (HCAP) framework developed from TPACK through integration of artificial intelligence literacy and competency
> **Synthesis:** Chiu (2026) proposes the Human-Centric AI Pedagogy (HCAP) framework, an evolution of the Technological Pedagogical Content Knowledge (TPACK) model designed for the generative AI era. …
📄 LUDIA: A Design and Evidence Statement
> **Synthesis:** LUDIA is a no-cost, private, multilingual AI thought partner that connects educators with the Universal Design for Learning (UDL) framework. This statement describes the August 2026 r…
📄 The Role of Artificial Intelligence in Green Education: Optimizing Teacher Workflow and Enhancing Pedagogical Design under Sustainable Development Pedagogy (SDP) Constraints
> **Synthesis:** Talebzadeh (2026) conducts a quasi-experimental study with 28 pre-service teacher teams, finding that AI-assisted Sustainable Development Pedagogy constraints significantly improve in…
🏷️ Accessible Learning
> **Accessible Learning** — the design and delivery of educational experiences that accommodate diverse learner needs, spanning physical, cognitive, sensory, and situational differences. In AI in educ…
🏷️ Active Learning
> **Active Learning** — instructional approaches that engage students in doing things and thinking about what they are doing, rather than passively receiving information. In AI in education, active le…
🏷️ 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…
🏷️ Teacher Role in AI-Enhanced Education
> **Teacher role** — how AI reshapes the work, identity, and agency of educators. With 50+ articles examining this dimension, the wiki documents a fundamental transformation: from sole knowledge autho…
📄 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…
📄 Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design
> **Synthesis:** Instructional Agents is a multi-agent LLM framework that automates end-to-end course material generation by simulating role-based collaboration among Teaching Faculty, Instructional D…
📄 Calibrating Trustworthiness: Co-Designing Metrics and Visualizations for Evaluating LLMs in Education
> **Calibrating Trustworthiness: Co-Designing Metrics and Visualizations for Evaluating LLMs in Education** — Longitudinal co-design with learning engineers building an LLM-powered digital textbook. C…
📄 When AI Wears Many Hats: The Role of Generative Artificial Intelligence in Marketing Education
> **When AI Wears Many Hats: The Role of Generative Artificial Intelligence in Marketing Education** — Uses multipronged analysis (syllabi review, educator survey, qualitative interviews) and Role The…
📄 A review of intervention designs of LLM Integration in Undergraduate Computer Science Education
This scoping review analyzed **13 experimental studies** on LLM integration in undergraduate [[cs-education]], examining how intervention design choices shape learning outcomes. The central finding: *…
📄 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, curriculum-design, generative-ai, zone-of-proximal-development, scaffolding
📄 Collaborative AI Literacy Framework
> **Collaborative AI Literacy Framework** — SEFI 2025. A systematic review of 9 studies (2015–2023) examining how collaborative learning (CL) approaches can be harnessed to build AI literacy across di…
📄 Leveling the Playing Field: Temporal Video Segmentation for Individuals with ADHD in Computing Education
Pimenova, Begel and colleagues evaluate a post-hoc video processing intervention that segments instructional videos into single-instruction chunks with fixed pauses, reducing extraneous cognitive load…
📄 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 …
📄 Generative AI (GenAI) as a mindtool that supports generative learning (GL)
> **Synthesis:** Generative AI (GenAI) as a mindtool that supports generative learning (GL)…
📄 Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design
> **Synthesis:** Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design…
🏷️ 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…
📄 ANVIL: Analogies and Videos for Lecturers
Noviello, Birillo, and Migut (2026) present ANVIL, an end-to-end multimodal generation pipeline for educational content — one of the first systems to automate the full journey from concept definition …
📄 Creating Learning Scaffolds for Engineering Design Using Concept Catalyst
Singh, Mansi, and Riedl (2026) present Concept Catalyst, an LLM-powered tool designed to reduce K-12 teacher preparation time for Engineering Design Challenges. Unlike general-purpose chatbots, Concep…
📄 ChatGPT Critical and Creative Thinking: Systematic Review
> Li, Cui & Hagedorn (2026) PRISMA-review **67 empirical studies (2022–2025)** on ChatGPT and university students' [[critical-thinking|critical]] and creative thinking: effects are contingent on **ped…