🏷️ teacher-role

> **Synthesis:** Wu et al. (2026) examined how learning motivation, self-efficacy, anxiety, and risk perception relate to acceptance of AI-assisted English language learning in a Chinese higher-educat…

2026-08-13 · language-learning, generative-ai, motivation, self-regulated-learning, higher-ed

> **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…

2026-08-13 · ai-literacy, higher-ed, curriculum-design, ethics, educational-policy-ai

> **Synthesis:** Li (2026) presents a conceptual Perspective arguing that AI-assisted vocal pedagogy should be evaluated not by how precisely AI measures vocal output (pitch, stability, timing) but by…

2026-08-13 · generative-ai, feedback-loop, self-regulated-learning, metacognition, music-education

> **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

> **Synthesis:** Lu et al. (2026) examined, through the lens of Social Cognitive Theory, whether Chinese university EFL learners' perceptions of generative-AI-based pronunciation feedback relate to th…

2026-08-13 · language-learning, generative-ai, ai-feedback-quality, self-regulated-learning, motivation

> **Synthesis:** Tozadore, Ertug, Chaker, and Abderrahim (2025) present RoboBuddy, an intuitive interface that lets teachers create scenario-based storytelling activities from their regular curriculum…

2026-08-13 · social-robots, human-robot-interaction, llm, storytelling, educational-robotics

> **Synthesis:** Liu, Meng, and Zhang (2026) examined technology acceptance of text-to-image (T2I) generative AI in art and design education from both educators' and students' perspectives, using a mo…

2026-08-13 · generative-ai, creativity, ai-literacy, student-experience, 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, ai-literacy, higher-ed, stem-education, survey

> **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…

2026-08-12 · generative-ai, higher-ed, curriculum-design, professional-training, equity

> **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…

2026-08-12 · ai-literacy, critical-thinking, higher-ed, curriculum-design, equity

> 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…

2026-08-12 · simulating-students, generative-ai, llm, student-modeling, agentic-ai

> **Simulating students** — using LLM-based agents to model learner behavior, cognition, and social dynamics for educational research, design, and training. Simulated students let researchers evaluate…

2026-08-12 · simulation, student-modeling, knowledge-tracing, cognitive-diagnosis, agentic-ai

> **Synthesis:** Shapiro, Souto-Otero, and Watermeyer (2026) argue that conventional AI literacy frameworks anchored in functional skills acquisition fail to address the fundamental epistemological ch…

2026-08-10 · ai-literacy, metacognition, critical-thinking, higher-ed, ethics

> **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…

2026-08-09 · generative-ai, instructional-design, higher-ed, ai-education, sustainability

> **AI Education** — the broad field encompassing both AI in education (using AI to teach) and AI literacy (teaching about AI). As the wiki's umbrella concept, AI education connects instructional tech…

2026-08-09 · ai-literacy, ai-tutoring, generative-ai, llm, higher-ed

> **Automated assessment** — the use of AI to evaluate student work, from formative quizzes to high-stakes exams. Automated assessment spans multiple modalities — multiple-choice, short answer, essay,…

2026-08-09 · automated-grading, assessment-validity, formative-assessment, bias-mitigation, automated-essay-scoring

> **Automated grading** — AI systems that evaluate student work, from multiple-choice scoring to essay assessment and code review. Automated grading is one of the most mature and widely-deployed AI in…

2026-08-09 · assessment-validity, formative-assessment, automated-essay-scoring, ai-feedback-quality, bias-mitigation

> **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…

2026-08-09 · teacher-ai-competency, ai-literacy, educational-policy-ai, higher-ed, k-12

> **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…

2026-08-09 · instructional-design, curriculum-design, faculty-development, scaffolding, generative-ai

> **K-12 AI education** — the use of artificial intelligence in primary and secondary education, spanning AI literacy curricula, AI tutoring, teacher support, and safety considerations unique to young…

2026-08-09 · pedagogical-safety, ai-literacy, equity, special-education, higher-ed

> **Synthesis:** Zhang et al. (2026) introduce TutorMoments, a replay-based evaluation framework that tests whether LM tutors adapt their pedagogical actions to context — scaffolding when support is n…

2026-08-08 · intelligent-tutoring, scaffolding, llm, llm-evaluation, k-12

> **Synthesis:** Lodge & Loble (2026) provide a comprehensive report on the cognitive science behind AI use in education, arguing that the core risk of generative AI is not plagiarism but cognitive of…

2026-08-07 · cognitive-offloading, ai-literacy, equity, metacognition, k-12

> **Synthesis:** Drawing on a systematic literature review, this UCL chapter proposes a five-level framework of teacher-AI teaming—transactional, situational, operational, praxical, and synergistic—to…

2026-08-06 · teacher-ai-teaming, generative-ai, human-ai-interaction, teacher-agency, hybrid-intelligence

> **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…

2026-08-05 · generative-ai, higher-ed, pedagogy, instructional-design, professional-training

> **RAIL-Ed is an integrative, developmental, and dialectical framework for generative AI literacy in K-12 teacher education, built from a systematic review of 67 studies and specifying six interdepen…

2026-08-04 · ai-literacy, generative-ai, k-12, educational-theory, ai-literacy-in-higher-education

> **Alex Liu, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He, Min Sun** — arXiv preprint (2026).…

2026-08-03 · llm, qualitative-research, k-12, ai-ed-evaluation, equity

A conceptual/position paper arguing that feedback in an age of GenAI must be understood as **"matters of care"** — ethical, relational practices rather than information transmission. It builds on a te…

2026-08-03 · generative-ai, feedback-loop, higher-ed, educational-theory, equity

> **Thang Doan Viet, Anh Nguyen Hoang, Tinh Luong Son, Anh Hoang Thi Ngoc, Huyen Giang Thi Thu, Tai Le Quy** — arXiv preprint (2026).…

2026-08-03 · llm, generative-ai, k-12, curriculum-design, global-south

> The null average performance effect masks strong offsetting heterogeneity — and the exam had severe ceiling compression (control mean 89.2/100, 47% ≥ 95), which also limits power. The belief reversa…

2026-08-03 · faculty-development, generative-ai, k-12, student-experience, cognitive-offloading

> **Alex Liu, Min Sun, Lief Esbenshade, Michael Xiao, Victor Tian, Zachary Zhang, Kevin He** — arXiv preprint (2026).…

2026-08-03 · llm, qualitative-research, k-12, ai-ed-evaluation, generative-ai

An empirical study of **21 higher-education teachers** using **PolyFeed**, an AI-powered feedback tool combining (1) a **BERT-based ML model** (from Aldino et al. 2024) that detects which learner-cent…

2026-08-03 · generative-ai, feedback-loop, higher-ed, faculty-development, scaffolding

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

2026-08-03 · llm, stem-education, higher-ed, student-experience, scaffolding

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, stem-education, student-experience, affective-computing, personalized-learning

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

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 · stem-education, higher-ed, learning-analytics, academic-integrity, edtech-platform

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

Across 15 nations, the paper examines how secondary computer-science education embeds AI literacy into general-track subjects (Digital Literacy, ICT, TIC, SNT) rather than specialized tracks, creating…

2026-07-14 · ai-literacy, equity, k-12, policy-maker, higher-ed

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, stem-education

> Extends a prior validated protocol for classifying open-ended teaching-evaluation feedback by thematic category and sentiment, introducing a durability and cross-language transfer benchmark. Institu…

2026-07-14 · feedback-loop, automated-grading, formative-assessment, higher-ed, faculty-development-genai

> **Bias mitigation** in educational AI requires auditing models across the pipeline: [[gender-bias-transfer-llm-writing]], [[ai-scoring-language-bias-physics]], [[llm-cultural-relevance-k12]], and [[…

2026-07-14 · bias-mitigation, equity, ethics, higher-ed, ai-literacy

Introduces a Bloom-aligned framework for measuring 'educational control' in LLMs: the ability to preserve a task's instructional intent while shifting its cognitive demand toward higher-order Bloom le…

2026-07-10 · llm, generative-ai, scaffolding, higher-ed, feedback-loop

Uses epistemic network analysis of multimodal YouTube metadata (transcripts, titles, thumbnails, comments) to show how different creator groups frame ChatGPT use in education, revealing divergent narr…

2026-07-10 · ai-literacy, student-experience, academic-integrity, higher-ed, generative-ai

This paper aims to synthesize empirical research on AI tools used to support English as a second/foreign language (EL2) learners in Arab University classrooms (AUCs) between Jan 1st 2023 and Aug 31st …

2026-07-09 · language-learning, higher-ed, writing-education, ai-literacy, over-reliance

The widespread availability of general-purpose AI that can perform complex cognitive tasks threatens to undermine education at scale. This effortless bypass dilemma sharpens a challenge AIED has long …

2026-07-09 · over-reliance, student-experience, self-regulated-learning, metacognition, formative-assessment

Large language models generate code from natural language prompts, enabling vibe coding, which allows non-programmers to develop computational solutions. Vibe coding for teachers amplifies the teacher…

2026-07-09 · k-12, ai-literacy, generative-ai, faculty-development, active-learning

**Tomohiro Nagashima, Lisa Siegrist, Niklas Scholz, Shintaro Sato, Martina Vincoli, Man Su (2026)** As AI technologies enter [[k-12]] classrooms, understanding how different stakeholders perceive thes…

2026-07-03 · k-12, student-experience, ai-literacy, student-ai-interaction, automated-grading

Mansi et al. (2026) introduce Concept Catalyst, a system designed around 'scrutable interfaces' — interfaces that make AI reasoning visible and editable by users. Working with K-12 teachers, the study…

2026-06-30 · ai-literacy, edtech-platform, generative-ai, k-12

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, stem-education, ai-literacy

📄 [PDF](https://arxiv.org/pdf/2606.26729) This study examines the implementation of the Artificial Intelligence Assessment Scale (AIAS), a structured framework for redesigning [[assessment|university…

2026-06-26 · higher-ed, assessment, academic-integrity, generative-ai, policy-maker

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 · k-12, stem-education, scaffolding, ai-literacy, higher-ed

Borchers (2026) reports on a 90-minute participatory design workshop with 12 U.S. middle school mathematics teachers using i-Ready Math weekly. Thematic analysis identified four recurring dimensions o…

2026-06-23 · k-12, student-experience, engagement-metrics, adaptive-learning

Tseng et al. (2026) investigate human-machine alignment in LLM-based pretest question evaluation — a critical bottleneck for scalable AI-assisted assessment. Their AI-assisted workflow combines automa…

2026-06-23 · ai-ed-evaluation, llm, formative-assessment, assessment, automated-grading

Park et al. (2026) explore AI-powered automated feedback for tutors on Ringle, a popular online English tutoring platform in the gig economy. Their research probe analyzed tutors' lessons and provided…

2026-06-23 · feedback-loop, higher-ed, intelligent-tutoring, language-learning

AdaPT uses transformers to adapt lesson plans across regional and differentiated instruction contexts; improves teacher efficiency while maintaining pedagogical alignment with local curricula. AdaPT: …

2026-06-18 · personalized-learning, adaptive-learning, k-12, generative-ai, ai-literacy-assessment-misalignment

AI-driven assessment of human tutor training performance correlates with real-life tutoring quality; bridges the gap between training metrics and classroom practice. AI-Driven Assessment of Human Tuto…

2026-06-18 · intelligent-tutoring, automated-grading, feedback-loop, efficacy-study, adaptive-virtual-patient-psychotherapy-training

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, stem-education, student-experience, ai-literacy

Evaluates cross-dataset generalization of ML/DL methods and LLMs for automatic Bloom's taxonomy classification of assessment questions across five datasets. Supervised ML/DL models degraded substantia…

2026-06-16 · automated-grading, llm, formative-assessment, higher-ed, learning-analytics

> Asks what is gained and lost when 'collaboration' is applied freely to human-AI interaction. Argues true collaboration requires symmetric/negotiated relationship, shared goals, low and shifting divi…

2026-06-16 · intelligent-tutoring, scaffolding, active-learning, student-experience, learning-analytics

**Ravi, Stevens, Hurt, Hanks, Lin & Anderson (2026)**. Ravi et al. investigate how the voice accent of a [[generative-ai]] conversational peer agent shapes learners' perceptions, trust, and interactio…

2026-06-12 · equity, generative-ai, human-in-the-loop, k-12, llm

**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, generative-ai

Reports on cross-boundary Community-Based Learning where undergraduate students develop AI-enabled solutions for cultural heritage preservation and sustainable development. The paper argues that AIED …

2026-06-09 · higher-ed, ai-literacy, equity, student-experience, intelligent-tutoring

This field experiment shows that AI-generated feedback drafts can measurably increase the rate and length of feedback that teaching assistants actually deliver to students, without sacrificing perceiv…

2026-06-04 · automated-grading, feedback-loop, higher-ed, llm, rct

This large-scale K-12 deployment provides empirical evidence that teacher-authored prompts can reliably shape the cognitive quality of student-AI dialogue at classroom scale. The TASD system lets teac…

2026-06-04 · k-12, student-ai-interaction, scaffolding, generative-ai, llm

> **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, stem-education, higher-ed

> **Authors:** Junsoo Park, Youssef Medhat, Htet Phyo Wai, Ploy Thajchayapong, Ashok K. Goel (2026) — Georgia Tech…

2026-06-01 · learning-analytics, higher-ed, student-experience, feedback-loop, ai-literacy

The widespread adoption of AI chatbots in education will drastically change learning, making responsible deployment a critical concern. While large language models (LLMs) might have access to sources …

2026-05-29 · llm, intelligent-tutoring, scaffolding, over-reliance, learning-analytics

> **AI-ed evaluation** — the body of methods, benchmarks, and criteria used to assess whether AI education tools (LLM-based tutors, automated graders, feedback systems, agents) actually work — not jus…

2026-05-29 · llm, assessment, benchmark, formative-assessment, generative-ai

This ICML 2026 position paper argues that adopting AI in organizational practice does not automatically yield productivity gains — human and environmental factors critically moderate the relationship.…

2026-05-26 · generative-ai, efficacy-study, higher-ed, policy-maker, persistent-ai-agents-academic-research

**Annie Yuan (2026)**. arXiv preprint (cs.HC). Current AI-driven educational systems primarily rely on behavioural analytics and performance metrics, lacking the ability to model expert cognition used…

2026-05-22 · learning-analytics, intelligent-tutoring, adaptive-learning, student-experience, ai-literacy

📄 [Full article](https://edtechinsiders.substack.com/p/how-ai-is-changing-teaching-workflows) AI saves teachers roughly 30% of lesson preparation time with no measurable quality loss — but whether th…

2026-05-21 · generative-ai, faculty-development, efficacy-study, rct, k-12

Benedetti (2026) introduces a theoretically grounded framework for AI-enabled pedagogical accompaniment that explicitly centers human agency — an approach described as "human-in-command" rather than m…

2026-05-21 · intelligent-tutoring, scaffolding, human-in-the-loop, pedagogical-safety, ai-literacy

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, cs-education

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, stem-education, generative-ai

Yang et al. (2026) tackle a fundamental tension in AI-augmented classrooms: how to balance teacher orchestration with student agency during dynamic transitions between individual and collaborative wor…

2026-05-21 · intelligent-tutoring, student-experience, k-12, human-in-the-loop, collaborative-learning

📄 DOI: 10.1016/j.caeai.2022.100074 This paper introduces **XAI-ED**, a framework for explainable AI that is purpose-built for education. It argues that while XAI in education shares common ground wit…

2026-05-21 · intelligent-tutoring, learning-analytics, bias-mitigation, equity, privacy

📄 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, stem-education, ai-literacy, institutional-change

Teachers virtually never test AI tutoring bots before student deployment; PromptDecipher enforces QA as a first-class activity by letting teachers edit bot responses directly. PromptDecipher addresses…

2026-05-19 · intelligent-tutoring, llm, faculty-development, edtech-platform, ai-literacy

RAG-based rubric-grounded GenAI writing feedback improved student revision quality (N=143, grades 7-11) and saved teacher time, but automated ratings were inconsistent. CyberScholar demonstrates rubri…

2026-05-19 · generative-ai, llm, writing-education, k-12, formative-assessment

This study investigates how teachers design multi-agent instructional workflows and identifies three distinct **teacher archetypes** that emerge from behavioral log analysis of 61 in-service teachers:…

2026-05-17 · ai-literacy, faculty-development, generative-ai, multi-agent, scaffolding

> Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows **Chen et al. (2026)** — Multiple institutions. Under review.…

2026-05-15 · agentic-ai, benchmark, generative-ai, intelligent-tutoring, llm

A study of 260 Filipino teachers examined how institutional support, teacher confidence, and teacher concerns influence AI adoption attitudes: This paper provides empirical clarity for [[teacher-role]…

2026-05-14 · faculty-development, k-12, ai-literacy, teacher-ai-competency, k-12-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 · stem-education, ai-generated-content, curriculum-design, pedagogy, agentic-workflows

> **Authors:** Isabel Molnar, Peiyu Li, Si Chen, Sugana Chawla, James Lang, Ronald Metoyer, Ting Hua, Nitesh V. Chawla **Year:** 2026 **Venue:** arXiv (cs.AI) > **Year:** 2026 > **Venue:** arXiv (cs.A…

2026-05-11 · llm, higher-ed, scaffolding, faculty-development, teacher-ai-competency

> A global perspective on AI in education readiness, framed around the insight that the real bottleneck is human and institutional capacity, not technical access. Based on a WEF (2026) synthesis of yo…

2026-05-09 · policy-maker, equity, k-12, ai-literacy, teacher-ai-competency

> An analysis of 310 AI-generated lesson plans (2,230 individual activities) produced by ChatGPT (GPT-4o), Gemini (1.5 Flash), and Copilot (GPT-4 based) for all 53 Massachusetts eighth-grade civics st…

2026-05-09 · k-12, ai-literacy, formative-assessment, equity, pedagogical-llm-training

> A NASBE/CRPE policy analysis (May 2026) examining how US states can shape conditions for effective teacher AI adoption — setting guardrails, providing resources, and building capacity without microm…

2026-05-09 · regulation, k-12, policy-maker, faculty-development, equity-in-ai-education

> **Synthesis:** Rather than replacing universities, generative AI **redefines their essential functions** — this paper proposes a four-level framework of institutional AI adoption and argues that the…

2026-05-08 · higher-ed, administrator, policy-maker, regulation, teacher-ai-competency

Equity in AI Education addresses systemic disparities in access to, representation within, and benefits from AI educational tools. Three critical dimensions emerge: Wang et al. (2025) found that **78%…

2026-05-08 · accessible-learning, culturally-sustaining-pedagogy, equity, ai-literacy, higher-ed

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…

2026-05-08 · ai-literacy, curriculum-design, equity, k-12, faculty-development

Teacher AI competency encompasses the knowledge, skills, and dispositions required for effective AI integration in educational contexts. Emerging frameworks identify three competency dimensions: Zhang…

2026-05-08 · ai-literacy, faculty-development, k-12, higher-ed, generative-ai

> Peer feedback develops critical reflection and evaluative judgment, yet: > Student peer feedback is often superficial or inconsistent. **AICoFe** (AI-based Collaborative Feedback) uses a multi-LLM p…

2026-05-07 · edtech-platform, feedback-loop, formative-assessment, higher-ed, learning-analytics

> Hardy & Kim (2026) identify a **cascading proxy** problem in AI-for-education evaluation: > The gap between what LLMs are *capable* of and what actually *benefits learners* — benchmark performance, …

2026-05-07 · llm, benchmark, efficacy-study, bias-mitigation, pedagogical-llm-training

> **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