🏷️ cs-education

> **Synthesis:** Hornung et al. (2026) present **CyberAGENTS**, an agentic framework for gamified cybersecurity learning that enables *structured autonomy* through ontology-guided validation, schema-g…

2026-08-13 · agentic-ai, computing-education, pedagogical-safety, llm, professional-training

> **Programming education** — the teaching and learning of computer programming, from introductory block-based programming to advanced software development. In the AI era, programming education increa…

2026-08-13 · programming-education, computational-thinking, educational-robotics, k-12, higher-ed

> **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 · stem-education, ai-literacy, k-12, prompt-engineering, adaptive-learning

> **Engagement metrics** — the range of observable signals and measurement approaches researchers and systems use to operationalize [[student-engagement|student engagement]] in AI-supported learning: …

2026-08-09 · ai-education, generative-ai, higher-ed, student-experience, learning-analytics

> **STEM Education** — science, technology, engineering, and mathematics education is the most common domain for AI in education research in the wiki. STEM's structured knowledge, clear right/wrong an…

2026-08-09 · math-education, physics-education, computational-thinking, k-12, higher-ed

> **Synthesis:** Graf et al. (2026) transformed a conventional Learning Analytics Dashboard (LAD) into an interactive ILAD by adding an LLM-powered pedagogical agent and a Judgement of Learning (JoL) …

2026-08-08 · learning-analytics, metacognition, llm, higher-ed, engagement-metrics

> **Synthesis:** This paper presents CourseGraph, a methodology for automatically evaluating external course equivalences by modelling course content as structured knowledge graphs. Designed for stude…

2026-08-07 · curriculum-design, edtech-platform, student-experience, higher-ed, administrator

> **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, higher-ed, scaffolding, stem-education, student-experience

> Pitts, Rani & Mildort (2026, AIED) show with 432 undergraduates that **higher trust in an AI assistant is associated with lower appropriate reliance**: students who trusted the assistant more were w…

2026-08-03 · ai-literacy, over-reliance, student-ai-interaction, metacognition, rag

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: *…

2026-07-31 · generative-ai, llm, scaffolding, instructional-design, efficacy-study

> **ProPACT** (Proactive AI-Driven Adaptive Collaborative Tutor) is an AI-driven adaptive tutoring system for pair programming that **treats collaboration itself as the object of instruction.** Unlike…

2026-07-29 · pair-programming, collaborative-learning, adaptive-learning-systems, rag, adaptive-learning

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…

2026-07-28 · accessible-learning, instructional-design, neurodiversity, llm

Addo, Munagah, Kumbol, Uchidiuno and Boateng study why African students enroll in SuaCode, a smartphone-based online coding course (from the team behind the Kwame AI teaching assistant) addressing the…

2026-07-28 · equity, mooc, global-south, equity-in-ai-education, ai-literacy

This scoping review synthesizes 90 peer-reviewed [[llm]]-based programming support systems in [[cs-education]] to make explicit how each system bounds, enacts, and controls assistance — decisions the …

2026-07-24 · llm, scaffolding, feedback-loop, higher-ed

A scenario-based survey (Fall 2024) comparing how computing students at Canadian and South Korean universities judged the ethicality and policy compliance of AI-assisted coding practices. Despite func…

2026-07-23 · generative-ai, higher-ed, student-experience, policy-maker

Machine learning courses typically hand students pre-labeled datasets, hiding the subjectivity baked into human annotation and cultivating an overly trusting view of AI data pipelines. This two-univer…

2026-07-23 · ai-literacy, higher-ed, generative-ai, engagement-metrics, bias-mitigation

As AI coding agents take over substantial implementation work, developers increasingly lose the informal, effortful problem-solving through which software engineering expertise historically accumulate…

2026-07-08 · agentic-ai, generative-ai, higher-ed, llm, over-reliance

Deploying LLM tutors in K-12 raises concerns around privacy, cost, and reliance on proprietary models, motivating small language models (SLMs) as an alternative. The authors introduce **CSTutorBench**…

2026-07-08 · llm, intelligent-tutoring, k-12, privacy, benchmark

Debugging exercises are usually graded from final code and test outcomes, which hide *how* students reproduced failures, formed hypotheses, inspected evidence, edited code, and verified fixes. The aut…

2026-07-08 · programming-its, learning-analytics, formative-assessment, higher-ed, feedback-loop

Prompt engineering is a critical yet undertaught skill for software developers, poorly served by traditional instruction because of its evolving, interactive, context-dependent nature. The authors int…

2026-07-08 · agentic-ai, feedback-loop, formative-assessment, intelligent-tutoring, llm

Nearly all prior research on LLMs in computing education has used text input, yet voice-enabled interfaces are becoming common. This exploratory study investigated how introductory programming student…

2026-07-08 · ai-literacy, generative-ai, llm, programming-its, prompt-engineering

As generative AI becomes central to software development, CS education is shifting toward prompt-centered workflows where students describe intended behavior in natural language to elicit code. But pr…

2026-07-07 · generative-ai, over-reliance, metacognition, higher-ed, ai-literacy

Learning to communicate with code-generating AI is an emerging skill for novice programmers. 'Prompt Problems' — having students solve computational tasks by writing natural-language prompts for code-…

2026-07-07 · ai-literacy, generative-ai, higher-ed, programming-its, prompt-engineering

**Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira (2026)** This paper presents an [[llm]]-based grading system for Linux/bash com…

2026-07-03 · llm, automated-grading, formative-assessment, higher-ed, scaffolding

**Mengqian Wu (2026)** Epistemic thinking — understanding how knowledge is constructed and justified — plays a central role in [[ai-literacy]], particularly when students co-program with generative AI…

2026-07-03 · ai-literacy, student-ai-interaction, scaffolding, higher-ed, automated-grading

Graf et al. (2026) identify a new challenge in collaborative programming education: AI use is now an invisible yet consequential dimension of collaboration, and partners often misread ability and effo…

2026-06-23 · student-experience, collaborative-ai-tutoring, over-reliance, higher-ed, ai-tutoring

Liu et al. (2026) report on a 13-week Test-Driven, AI-Assisted (TDAA) redesign of a Theory of Computation course at HKUST (Guangzhou). The course replaced all lectures with self-directed, AI-assisted …

2026-06-23 · llm, active-learning, assessment, higher-ed, automated-grading

> **Naaz Sibia, Jessica Wen, Amber Richardson, Yashika Jain, Khushi Malik, Bogdan Simion, Carolina Nobre, Angela Zavaleta Bernuy, Andrew Petersen, Michael Liut** (2026). ICER 2026…

2026-06-19 · student-experience, scaffolding, active-learning, feedback-loop, multi-representational-tools

**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 · generative-ai, curriculum-design, higher-ed, llm, student-experience

Multi-institutional study on Generated Animated Traces (GATs) for CS1. Found that mid-engagement students may experience a performance decrement due to coordination costs (Expertise-Reversal Effect). …

2026-06-03 · llm, scaffolding, personalized-learning, ai-literacy, mastery-learning

> **Synthesis:** Vision-language models (VLMs) have been explored for visual programming, where they generate code to solve visual tasks. However, most prior work focuses on visual programming for pro…

2026-06-03 · benchmark, k-12, multimodal

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 · stem-education, student-experience, higher-ed, benchmark, llm

This study surveyed 24 neurodivergent computing students (autistic and/or ADHD) and 20 neurotypical peers, supplemented by 4 in-depth interviews, to understand how collaborative active learning struct…

2026-05-25 · student-experience, special-education, equity, collaborative-learning, equity-in-ai-education

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 …

2026-05-21 · generative-ai, llm, instructional-design, higher-ed, teacher-role

Oral code reviews paired with a flipped classroom represent a pragmatic harm-reduction approach to generative AI in CS education. Rather than banning LLMs, Fowles et al. (2026) designed weekly formati…

2026-05-21 · generative-ai, higher-ed, over-reliance, academic-integrity, formative-assessment

This study examines the disconnect between **ethics education** and real-world decision-making among 129 computer science students and recent graduates during their job searches. Despite receiving con…

2026-05-12 · ai-education, ethics, regulation, faculty-development, teacher-ai-competency