🏷️ stem-education

> **Synthesis:** Suñer et al. (2026) show that a fully customized, browser-based rotation laboratory can be generated entirely through natural-language prompting of an AI assistant, with no manual cod…

2026-08-13 · physics-education, mobile-learning, generative-ai, content-generation, personalized-learning

> **Synthesis:** Valls i Pou (2026) examines how computational thinking can enhance the effective integration of educational robotics into secondary school curricula. Arguing that educational robotics…

2026-08-13 · computational-thinking, educational-robotics, k-12, curriculum, problem-solving

> **Synthesis:** Tufino & Damiani (2026) explore where a language-based AI can stand within an inquiry activity without displacing embodied experience, using a Master's-level physics education course …

2026-08-13 · physics-education, socratic-method, pedagogical-agent, generative-ai, higher-ed

> **Synthesis:** Levy et al. (2026) show how a structured natural-language prompt can generate a browser-based, hand-controlled **augmented-reality (AR) physics simulation** — spread your thumb and in…

2026-08-13 · physics-education, generative-ai, simulation, content-generation, prompt-engineering

> **Synthesis:** Patel et al. (2025) present an LLM-assisted instructional integration with a virtual cybersecurity lab platform, addressing workforce reskilling needs driven by the digital transforma…

2026-08-13 · generative-ai, cybersecurity, llm, higher-ed, experiential-learning

> **Synthesis:** Sirnoorkar & Mamidpalliwar (2026) investigate the association between introductory physics students' preferences for chatbot behavior and their epistemological beliefs, using a custom…

2026-08-13 · physics-education, chatbot, socratic-method, ai-literacy, higher-ed

> **Robots in education (educational robotics)** — the use of physical or simulated robots as tools for teaching and learning. Educational robotics spans a wide spectrum: from programmable kits that t…

2026-08-13 · educational-robotics, human-robot-interaction, computational-thinking, k-12, higher-ed

> **Synthesis:** This survey of 380 pre-service science teachers in Ghana, guided by UTAUT and the Theory of Planned Behaviour, finds generally positive perceptions of AI and strong intentions to use …

2026-08-12 · teacher-ai-competency, teacher-role, ai-literacy, higher-ed, survey

> **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…

2026-08-10 · instructional-design, generative-ai, curriculum-design, higher-ed, project-based-learning

> **Synthesis:** Amponsah, Adu-Boahen, Commey-Mintah, Kumassah, Ayittey & Nketsiah (2026) survey 380 pre-service science teachers in Ghana using UTAUT and TPB frameworks, finding generally positive AI…

2026-08-09 · ai-literacy, teacher-training, k-12, higher-ed, generative-ai

> **Synthesis:** This exploratory study investigates how undergraduates use [[llm|LLMs]] to debug malfunctioning analog circuits under exam conditions, identifying both promising [[human-ai-collaborat…

2026-08-09 · human-ai-collaboration, computing-education, qualitative-research, llm, generative-ai

> **Computational thinking** — a problem-solving approach involving decomposition, pattern recognition, abstraction, and algorithmic design. In AI education, computational thinking is both a prerequis…

2026-08-09 · cs-education, ai-literacy, k-12, prompt-engineering, adaptive-learning

> **CS Education** — computer science education is the most-researched STEM subfield in the wiki, benefiting from natural alignment between AI tools and programming tasks. Code generation, debugging a…

2026-08-09 · computational-thinking, automated-grading, prompt-engineering, higher-ed, k-12

> **Intelligent Tutoring Systems (ITS)** — a well-established subfield of AI in education that uses AI to model student knowledge, adapt instruction, and provide personalized feedback, typically throu…

2026-08-09 · ai-education, ai-tutoring, adaptive-learning, scaffolding, student-modeling

> **Math Education** — the study of how students learn mathematics and how AI can support mathematics teaching, spanning affective tutoring, cognitive diagnosis from handwritten work, productive strug…

2026-08-09 · math-education, ai-tutoring, intelligent-tutoring, k-12, generative-ai

> **Physics Education** — the study of how students learn physics and how to teach it more effectively, spanning Socratic AI tutoring, computational thinking assessment, student trust and AI adoption …

2026-08-09 · physics-education, ai-tutoring, generative-ai, higher-ed, student-experience

> **Synthesis:** Becker, Bauer, Schrader, Bitzenbauer & Veith (2026) analyze 1,189 survey responses from physics students using qualitative content analysis and latent class analysis, identifying two …

2026-08-08 · physics-education, student-experience, ai-literacy, higher-ed, trust-calibration

> **Synthesis:** Fouad & Bentley (2026) survey 81 introductory physics students and find a striking 50-percentage-point trust-utility gap: 91% use AI for coursework but only 41% trust AI physics expla…

2026-08-08 · physics-education, trust-calibration, ai-literacy, student-experience, higher-ed

> **Synthesis**: Pedagogical agents are AI-driven conversational interfaces embedded in learning environments that use pedagogical strategies (eliciting, telling, scaffolding) to support learner engag…

2026-08-08 · intelligent-tutoring, llm, student-ai-interaction, scaffolding, higher-ed

> **Synthesis:** Savage, Shanker, Michlitsch & Rebello (2026) investigate using LLMs to evaluate students' written explanations of computational physics problems at scale. Establishing a human-coded b…

2026-08-07 · llm, computational-thinking, physics-education, assessment, higher-ed

> **Synthesis:** Tufino (2026) pilots a simulated multi-agent AI classroom where five AI students each enact distinct dual-process theory (DPT) reasoning hazards, giving prospective physics teachers r…

2026-08-07 · multi-agent, physics-education, teacher-training, dual-process-theory, simulation

> **Synthesis:** Work-in-progress exploring LLMs as debugging assistants for physical hardware lab courses. Proposes 'Chat-Debugging' where students interact with an LLM to diagnose circuit faults. Ai…

2026-08-06 · llm, cs-education, higher-ed, scaffolding, student-experience

> **Synthesis:** Systematic study of domain-adapted text-to-image models for nuclear engineering education. Fine-tunes Stable Diffusion on nuclear domain images; fine-tuned model achieves 78% domain a…

2026-08-06 · generative-ai, ai-generated-content, multimodal, content-quality, higher-ed

> **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 …

2026-08-04 · ai-education, curriculum-design, open-source, professional-training, llm

Presents **StructRAG**, a pattern-aware framework that improves how AI tutoring systems interpret **complex engineering diagrams** (circuit schematics, network topologies, block flowcharts) in STEM. C…

2026-08-03 · intelligent-tutoring, llm, generative-ai, automated-grading, feedback-loop

> **Shuang Geng, Helen Lallos-Harrell, Jiya Ashar, Thomas J. McKenna, Annwesa Dasgupta, Caleb Farny, Emma Lejeune** — arXiv preprint (2026).…

2026-08-03 · llm, higher-ed, student-experience, teacher-role, scaffolding

> **Agentic AI** — AI systems that autonomously plan, execute, and adapt multi-step workflows to achieve learning goals, going beyond single-turn Q&A to act as persistent, goal-directed collaborators:…

2026-08-01 · agentic-ai, generative-ai, llm, intelligent-tutoring, higher-ed

> **AI tutoring** — the use of AI (especially [[llm|LLMs]] and [[intelligent-tutoring|intelligent tutoring systems]]) to provide personalized, adaptive, scalable instructional support: conversational …

2026-08-01 · intelligent-tutoring, generative-ai, llm, scaffolding, feedback-loop

Studies student perceptions of AI-generated instructional videos in computing education. Finds students value personalization and rapid production but express concerns about accuracy and the loss of i…

2026-07-31 · generative-ai, student-experience, higher-ed

Examines how different forms of learner-AI interaction relate to learning outcomes in object-oriented programming courses. Identifies distinct patterns of GenAI use among students and correlates them …

2026-07-31 · generative-ai, student-experience, higher-ed, learning-analytics, ai-education

Randomized A/B crossover study (N=220) in a junior-level algorithms course comparing solution evaluation/critique tasks against traditional solution generation. Finds that evaluation-centered tasks pr…

2026-07-31 · generative-ai, higher-ed, efficacy-study, student-experience

Innovative practice paper examining the integration of technology-enhanced tabletop exercises into cybersecurity curricula. Addresses the gap between professional TTX practice and university adoption,…

2026-07-31 · edtech-platform, higher-ed, professional-training, active-learning

Survey of 206 engineering students: AI chatbots provide greatest perceived benefit as relief from competence frustration, smaller benefits for autonomy, weakest for relatedness. Baseline motivational …

2026-07-30 · higher-ed, student-experience, affective-computing, personalized-learning, scaffolding

LLMs systematically underestimate the difficulty of misconception-driven items ('The Easy Trap'). While LLM ratings show moderate rank correlation with empirical student difficulty (rho=0.52-0.70), th…

2026-07-30 · llm, formative-assessment, adaptive-learning, feedback-loop, student-experience

On 119,034 students across 13 UK national exams, Bernoulli Mixture Models found few distinct skill clusters — overall ability dominates. A simple explainable model achieved 78% accuracy, competitive w…

2026-07-30 · personalized-learning, learning-analytics, student-experience, adaptive-learning, k-12

Describes rapid development of a Thonny log visualizer using AI-assisted 'vibe coding' to make student programming processes visible to teachers. Piloted in a 160-student introductory programming cour…

2026-07-30 · higher-ed, teacher-role, learning-analytics, academic-integrity, edtech-platform

> **The Multimodal Interference Effect** describes a systemic accuracy drop when LLMs encounter image-rich STEM problems: from ~96% on text-only physics problems to ~74% on multimodal ones. A simple t…

2026-07-29 · intelligent-tutoring, multimodal, socratic-method, llm, ai-tutoring

This quasi-experimental mixed-methods longitudinal study (N=142) deploys a fully automated marking pipeline for handwritten mock examinations in A-Level sciences, removing the human-marking bottleneck…

2026-07-28 · assessment, automated-grading, k-12, hybrid-e-assessment-semi-automated-grading, formative-assessment

> **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…

2026-07-28 · llm, intelligent-tutoring, educational-theory, generative-ai, ai-education

This experience report introduces trio-ethnography — structured dialogue between two computing educators with differing teaching philosophies and one undergraduate CS student — as a method for surfaci…

2026-07-27 · generative-ai, teacher-role, student-experience, higher-ed, scaffolding

This study probes how sensitive [[llm]] mathematical problem solving is to the surface representation of an item — a question with direct bearing on [[assessment-validity]] when LLMs are used for scor…

2026-07-24 · llm, benchmark, assessment-validity, reinforcement-learning, rag

Tabletop exercises (TTXs) let learner teams rehearse high-stakes workplace tasks such as cybersecurity incident response, but their open-ended, collaborative nature makes [[formative-assessment]] diff…

2026-07-22 · formative-assessment, feedback-loop, learning-analytics, higher-ed, student-experience

Nemo Explain Visualizer (nev) is an interactive visual query tracer and builder for the Datalog reasoner Nemo. Although built for expert users, the authors conducted a qualitative study with 14 partic…

2026-07-22 · higher-ed, scaffolding, active-learning

EduGuard is a retrieval-augmented generation (RAG) tutoring framework that directly confronts the safety and pedagogical failures of unrestricted LLM tutors in introductory programming. Unrestricted t…

2026-07-20 · llm, generative-ai, intelligent-tutoring, over-reliance, hallucination-risk

This landmark field experiment is among the first randomized controlled trials to causally demonstrate that **unguarded generative-AI tutoring can harm skill acquisition**, not merely fail to help. Co…

2026-07-19 · generative-ai, over-reliance, k-12, rct, learning-gains

Multimodal large language models (MLLMs) are increasingly used to interpret visualizations, yet most evaluations remain chart-centric and offer limited insight into **scientific visualization (SciVis)…

2026-07-17 · llm, generative-ai, ai-literacy, benchmark, higher-ed

LEA (Learning Engagement Assistant) is an **agentic AI tutoring system** that couples course-specific retrieval-augmented generation (RAG) with structured [[knowledge-tracing]] / Knowledge Component (…

2026-07-16 · llm, generative-ai, intelligent-tutoring, higher-ed, formative-assessment

Analyzes how students specify intended behavior in natural language to AI code tools (Copilot) across multiple years, deriving a taxonomy of code-generation specifications expressed through comments. …

2026-07-14 · llm, student-experience, higher-ed, reshaping-cs-education-genai, ai-literacy

Presents FORAP (Framework for Organizing Reusable and Adaptable Project-Based Learning projects) and a portfolio of 14 adoption-ready PjBL packages for computing education. The framework addresses the…

2026-07-14 · project-based-learning, k-12, higher-ed, active-learning, scaffolding

Introduces 'design problems' (DPs): concise, scenario-based prompts that require applying knowledge in transfer contexts, generated with LLMs to assess higher-order thinking (HOT) in project-based lea…

2026-07-14 · project-based-learning, generative-ai, formative-assessment, higher-ed, scaffolding

> Presents Q-Learning Lab, a single-file tool that makes the Bellman update concrete by letting undergraduates inspect how each value is computed and why actions are chosen, through learner-generated …

2026-07-14 · active-learning, higher-ed, reinforcement-learning, self-regulated-learning, scaffolding

STEM education faces challenges in personalization and interdisciplinary integration. AI technology has brought new possibilities, but the mechanisms by which AI reshapes the STEM education ecosystem …

2026-07-09 · generative-ai, intelligent-tutoring, scaffolding, adaptive-learning, learning-analytics

> **Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira** — Universidade de Vigo, submitted 30 Jun 2026…

2026-07-02 · llm, formative-assessment, scaffolding, higher-ed, llm-in-education

> **Margaret Ellis, Nikitha Donekal Chandrashekar, Sehrish Basir Nizamani, Mohammed Farghally, Jake O'Brien, Naren Ramakrishnan** — SIGCSE Virtual 2026, submitted 29 Jun 2026…

2026-07-02 · llm, higher-ed, student-experience, academic-integrity, llm-in-education

> **Mohammad Abu Nasir Rakib, Sharmin Akter, Eshwara Prasad Sridhar, Somik Biswas, Md Rassel Raihan, Mahmudur Rahman** — submitted 1 Jul 2026…

2026-07-02 · higher-ed, personalized-learning, active-learning, blended-learning, llm-in-education

Hutchison et al. (2026) develop and validate a method for measuring critical engagement with AI code completion tools in educational settings. Using behavioral signals (time-to-accept, edit distance f…

2026-06-30 · formative-assessment, higher-ed, llm, student-experience

Abdelghani, Kaiser & Murayama (2026) trace how middle and high school students' interactions with AI math tutors evolve over time, identifying a trajectory from superficial prompting ('tell me the ans…

2026-06-30 · ai-literacy, k-12, metacognition, student-experience, self-regulated-learning

Bernstein, Denny, Leinonen et al. (2026) investigate whether providing students with multiple, diverse LLM-generated explanations of code (rather than a single 'best' explanation) improves comprehensi…

2026-06-30 · feedback-loop, higher-ed, llm, scaffolding, student-experience

This study by Tran, Marwan & Price (2026) introduces and evaluates a 45-minute structured lesson on prompt-based programming, a new modality enabled by LLMs where users express computational goals thr…

2026-06-30 · generative-ai, higher-ed, llm, teacher-role, ai-literacy

Castillo Ventura et al. (2026) address the gap between instructional design of digital mathematics resources and their pedagogical use in classrooms. Their work-in-progress framework translates learni…

2026-06-23 · teacher-role, k-12, scaffolding, ai-literacy, higher-ed

> **Luyang Fang, Yingchuan Zhang, Jongchan Park, Zhaoji Wang, Ping Ma, Xiaoming Zhai** (2026). arXiv cs.AI preprint…

2026-06-19 · automated-grading, formative-assessment, k-12, efficacy-study, multi-representational-tools

> **Farnaz Baksh, Matevz B. Zorec, Feiazie Baksh, Karl Kruusamae** (2026). ICSR + ART 2026, London…

2026-06-17 · k-12, higher-ed, intelligent-tutoring, student-experience, human-ai-collaboration

Based on a questionnaire of 100 higher-education engineering students and a critical literature review, examines how students use and perceive LLMs. Students value LLMs for writing support, conceptual…

2026-06-16 · higher-ed, llm, student-experience, teacher-role, ai-literacy

Team-based projects are a cornerstone of engineering and computing courses, but unstructured team formation often leads to poor project outcomes due to misaligned student interests and inadequate skil…

2026-06-16 · intelligent-tutoring, edtech-platform, higher-ed, personalized-learning, learning-analytics

> Examines gender differences in AI literacy, safety awareness, and STEM career aspirations among Australian secondary students (Years 7, 8, 10; N=199) from two co-educational government schools after…

2026-06-16 · ai-literacy, k-12, equity, student-experience, learning-analytics

Investigates LLM chatbots' performance on 70 MCQs for a university CS lecture on interactive visual data analysis, comparing with student performance. GPT-4o and GPT-5 significantly outperformed small…

2026-06-16 · higher-ed, llm, automated-grading, student-experience, learning-analytics

This paper investigates whether [[llm|large language models]] can serve as scalable proxies for students by simulating realistic logical errors in code submissions. Using the CodeWorkout dataset of 74…

2026-06-15 · llm, student-experience, intelligent-tutoring, learning-analytics, efficacy-study

**Angela Chen, Siwei Jin, Catherine Bao, Canwen Wang, Robert E. Kraut, Tongshuang Wu, Haiyi Zhu** — cs.CY, cs.HC The Adaptive Virtual Patient (AVP) is an LLM-driven simulated patient for psychotherapy…

2026-06-10 · professional-training, llm, generative-ai, intelligent-tutoring, student-experience

**Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Sadia Nawaz** — AIED 2026 — cs.HC, cs.AI This paper presents an AI-based speech processing approach to ana…

2026-06-10 · active-learning, ai-education, higher-ed, learning-analytics, teacher-role

**Oleksandra Poquet, Mani Shankar Nanduri, Maria Ximena Salinas Loyer, Matthias Stadler, Michael Sailer, Jelena Jovanovic** — Accepted at EC-TEL 2026 — cs.HC, cs.ET This study compares two approaches …

2026-06-10 · writing-education, llm, student-experience, higher-ed, ai-literacy

**Jiayi Zhang, Ryan S. Baker, Debshila Basu Mallick, Cristina Heffernan, Neil Heffernan** — cs.HC This paper replicates and extends prior work on the cold-start problem in knowledge tracing — the chal…

2026-06-10 · knowledge-tracing, learning-analytics, student-modeling, benchmark, higher-ed

**Jingzhe Lin, Hengbin Yu, Yongdan Zeng, Fangwei Zhong** — ICML 2026 — cs.MA, cs.CY EduMirror introduces a multi-agent simulator for studying educational social dynamics, addressing the dilemma that o…

2026-06-10 · intelligent-tutoring, student-experience, llm, higher-ed, scaffolding

**Yifan Liu, Jaime Arguello, Orland Hoeber, Chang Liu et al.** — cs.IR, cs.AI, cs.HC This report summarizes the CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS), which examined how Ge…

2026-06-10 · generative-ai, llm, ai-literacy, policy-maker, higher-ed

**Hartwig Grabowski, Michael Canz** — cs.AI, cs.CV, cs.CY This paper identifies the didactic narrowing caused by fully digital e-assessment (overuse of closed question formats) and proposes a hybrid a…

2026-06-10 · automated-grading, assessment, higher-ed, generative-ai, formative-assessment

> This paper develops a VR-based immersive learning environment using Photon Fusion that allows teachers and students to be present in the same virtual space regardless of physical locations. The syst…

2026-06-10 · edtech-platform, active-learning, student-experience, higher-ed, engagement-metrics

**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…

2026-06-10 · cs-education, generative-ai, curriculum-design, higher-ed, llm

Introduces a novel core concept, **"Awareness of Technological Isomorphism,"** defined as a student's metacognitive realization that their own mathematical cognitive operations (observing trends, indu…

2026-06-09 · k-12, ai-literacy, personalized-learning, metacognition, scaffolding

Presents a **large-scale classroom study** (N=215 students, 6,693 submissions across 17 labs) deploying AI-generated feedback through a randomized protocol in an introductory Python programming course…

2026-06-09 · llm, formative-assessment, feedback-loop, higher-ed, automated-grading

Addresses a critical tension in [[stem-education|CS education]]: the widespread adoption of generative AI makes it impossible to distinguish authentic student effort from AI code synthesis by evaluati…

2026-06-09 · edtech-platform, academic-integrity, higher-ed, formative-assessment, scaffolding

> **Synthesis:** AI literacy-related domains and AI-TPACK readiness among preservice mathematics teachers: A factor-informed structural equation modelling study…

2026-06-03 · ai-literacy, higher-ed, faculty-development, math-education

> **Synthesis:** GenAI as a runaway object in higher education: A socio-cultural view on AI-influenced academic practice in mathematics…

2026-06-03 · generative-ai, higher-ed, faculty-development, educational-theory, math-education

> **Curriculum Design** — the process of planning and structuring what is taught across courses, programs, and institutions, including learning objectives, content sequencing, assessment strategies, a…

2026-06-02 · curriculum-design, instructional-design, ai-literacy, higher-ed, generative-ai

**Post-COVID ICT Career Aspirations** uses PISA 2018 and 2022 country-level data to investigate whether students entering the generative AI era have adequate educational foundations. Using a mixed-met…

2026-05-28 · k-12, higher-ed, ai-literacy, equity, teacher-ai-competency

This paper argues that [[generative-ai]] systems in [[higher-ed]] are not epistemically neutral — they actively marginalize non-hegemonic ways of knowing. Drawing on educational sciences, critical tec…

2026-05-27 · generative-ai, higher-ed, special-education, equity, bias-mitigation

This paper presents a fine-grained taxonomy categorizing novice programmers' difficulties with reading and understanding control flow constructs — specifically conditionals (selection) and loops (iter…

2026-05-27 · cs-education, student-experience, higher-ed, benchmark, llm

📄 DOI: 10.32473/flairs.39.1.141554 Codify (also called AI Tutor) is an [[intelligent-tutoring]] system that leverages [[llm|LLMs]], competency tracking, and adaptive assessment to provide Socratic, d…

2026-05-26 · intelligent-tutoring, llm, higher-ed, adaptive-learning, self-regulated-learning

This paper proposes a principled framework grounded in Evidence-Centered Design (ECD) that treats [[generative-ai]] as a design variable within STEM assessment arguments rather than an external threat…

2026-05-26 · generative-ai, automated-grading, higher-ed, policy-maker, genai-minoritized-knowledges-disability

This landmark study provides the **first large-scale behavioral and outcome evidence** that [[generative-ai]] has fundamentally altered how students study and what they retain. Using a ten-year panel …

2026-05-23 · generative-ai, over-reliance, k-12, higher-ed, learning-gains

This paper presents a rigorous empirical comparison between [[llm|LLM]]-based and semantic similarity methods for [[automated-grading|automated assessment]] of student self-explanations in programming…

2026-05-23 · llm, automated-grading, feedback-loop, higher-ed, scaffolding

Automated grading systems have enabled scalable assessment for many response types, but handwritten mathematics remains a barrier due to the complexity of multi-step solutions. Vision-capable large la…

2026-05-22 · automated-grading, llm, higher-ed, efficacy-study, multimodal

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…

2026-05-21 · llm, scaffolding, k-12, teacher-role, generative-ai

This paper presents a striking longitudinal finding: as AI becomes a routine educational tool, students systematically revalue **human intelligence (HI) over artificial intelligence (AI)**. Drawing on…

2026-05-20 · ai-literacy, student-experience, higher-ed, over-reliance, efficacy-study

📄 arXiv · [PDF](https://arxiv.org/pdf/2605.18140) A mixed-methods survey of 90 STEM faculty in the RCSA Cottrell community identified a coherent latent construct — **AI pedagogical orientation** — th…

2026-05-19 · faculty-development, higher-ed, ai-literacy, institutional-change, pedagogy

Socratic questioning, reflection prompts, misconception checks, and mandatory pauses produce better K-12 engagement than directive answer-giving AI tutors. SocratiCode demonstrates a participatory des…

2026-05-19 · intelligent-tutoring, llm, generative-ai, k-12, scaffolding

LLM-generated feedback produces faster time-to-solution than compiler-only baseline; counterintuitively, less guided feedback showed stronger effects than more guided variants. This study provides emp…

2026-05-19 · llm, generative-ai, feedback-loop, higher-ed, scaffolding

> Computational Thinking Development in AI Agent Creation: A Mixed-Methods Study **Sun et al. (2026)** — Multiple institutions. arXiv cs.CY.…

2026-05-15 · k-12, ai-literacy, scaffolding, personalized-learning, k-12-ai-education

> LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework **Rodríguez (2026)** — Oregon State University. Submitted to Computers & Education.…

2026-05-15 · automated-grading, higher-ed, llm, generative-ai, efficacy-study

> Perl-Nussbaum & Finkelstein (2026) adapt institutional-change models to generative AI as an **arrival technology** — one that entered classrooms before pedagogical evidence existed — yielding a six-…

2026-05-14 · ai-education, institutional-change, faculty-development, higher-ed, pedagogy

This book chapter presents a **text mining analysis** of how scholarly literature frames ChatGPT's role in programming education. Using term frequency analysis, phrase pattern extraction, and topic mo…

2026-05-13 · over-reliance, academic-integrity, hallucination-risk, feedback-loop, student-experience

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…

2026-05-12 · ai-literacy, curriculum-design, equity, metacognition, equity-in-ai-education

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…

2026-05-12 · teacher-role, ai-generated-content, curriculum-design, pedagogy, agentic-workflows

> A pedagogical model where human mentors and AI tools jointly support student learning in project-based contexts. Human mentors provide conceptual guidance, debugging, and problem formulation support…

2026-05-09 · k-12, higher-ed, active-learning, scaffolding, personalized-learning

> An instructional approach that deliberately leverages AI errors, hallucinations, and limitations as teaching tools to foster higher-order thinking. Rather than viewing AI mistakes as failures to be …

2026-05-09 · higher-ed, ai-literacy, metacognition, active-learning, socratic-ai-dialogue

> Stub — pending source ingestion. AI adoption, strategy, and governance from the institutional administrator and leadership perspective.…

2026-05-09 · administrator, policy-maker, higher-ed, generative-ai, llm

> AI coding assistants proliferate rapidly, but pedagogical frameworks for learning them remain scarce — a paradox at the heart of agentic coding education. > Using agentic AI workflows (Claude Code) …

2026-05-08 · agentic-ai, generative-ai, higher-ed, scaffolding, metacognition

> A bibliometric–systematic review of AI tools in STEM education: > Systematic review (2005–2025) mapping how AI tools scaffold and co-regulate metacognitive development in STEM classrooms through bib…

2026-05-08 · metacognition, learning-analytics, intelligent-tutoring, posthumanist, ai-literacy

> **Synthesis:** A novel generate-then-validate pipeline for educational question generation that reduces LLM hallucination by 62% compared to direct generation, validated on STEM datasets with 89% ac…

2026-05-08 · question-generation, llm, automated-assessment, hallucination-reduction, automated-question-generation

> Boateng et al. (2026) introduce **NSMQ Riddles**, a benchmark of 1.8K scientific and mathematical riddles drawn from 11 years of Ghana's **National Science and Maths Quiz** — a live TV competition f…

2026-05-08 · benchmark, k-12, llm, efficacy-study, pedagogical-llm-training

> **SCRIPT** (Deriyeva, Dannath, Paassen, 2026) implements an intelligent tutoring system for **Python programming** in a German university context, filling a gap in prior ITS which rarely supported P…

2026-05-08 · intelligent-tutoring, higher-ed, adaptive-learning, formative-assessment, student-misconceptions-conditionals-loops-taxonomy

> **From Prototype to Classroom** (Elhaimeur & Chrisochoides, 2026) describes a tutoring system for quantum computing that bridges the gap between dense mathematical formalism and limited qualified in…

2026-05-08 · adaptive-learning, higher-ed, intelligent-tutoring, knowledge-tracing, adaptive-learning-systems

Automated question generation leverages NLP and LLMs to create educational assessments at scale. Wei & Stamper (2025) introduced the **generate-then-validate** paradigm, reducing hallucination by 62% …

2026-05-08 · nlp-education, assessment, llm, automated-grading, higher-ed

> Benchmarking vision-language models (VLMs) not on their ability to solve problems, but on their ability to *support learners* — particularly struggling learners and those making errors. Traditional …

2026-05-07 · assessment, multimodal, benchmark, pedagogical-safety, ai-education

> When LLMs process STEM problems that require interpreting diagrams, graphs, or schematics alongside text, their accuracy degrades substantially. This effect is: > General-purpose LLMs achieve near-c…

2026-05-07 · llm, intelligent-tutoring, higher-ed, k-12, equity

> Socratic dialogue — asking structured questions rather than providing answers — is one of the strongest pedagogical scaffolds for deep learning. When automated via AI, it produces measurable reasoni…

2026-05-07 · intelligent-tutoring, scaffolding, active-learning, higher-ed, formative-assessment

> **Synthesis:** White & Wu (2026) critically examine the integration of AI and robotics into education, arguing that while transformative potential exists at all levels, effective integration require…

2026-03-05 · ai-education, ai-literacy, ethics, higher-ed, k-12