🏷️ edtech-platform
36 pages tagged with edtech-platform(34 articles, 2 concepts)
📄 Methodologies for Improving the Quality of AI Tutoring in K-12 Education
> **Synthesis:** Udeshi et al. (2026), the team behind **Khanmigo** (Khan Academy's K-12 AI tutor, launched 2023), describe the metrics they use to measure AI tutoring quality and student engagement, …
📄 OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research
> OATutor (Open Adaptive Tutor) is the first open-source adaptive tutoring system built on Intelligent Tutoring System (ITS) principles, developed at UC Berkeley's CAHL Lab. It combines an MIT-license…
2026-08-12 · intelligent-tutoring, adaptive-learning, open-source, knowledge-tracing, math-education
📄 A framework for characterising and capturing the quality of digital interactions and experiences in early childhood education
> **Synthesis:** This study introduces a Digital Interactions Quality (DigIQ) framework and scale as a protocol to observe and index the quality of interactions and experiences involving digital techn…
📄 Beyond MOOCs: How technical and structural factors shape learner engagement, retention and inclusivity across online learning platforms
> **Synthesis:** This study examines the critical influence of technical and structural factors on learner Engagement, Retention and Inclusivity (ERI) in MOOCs and other large-scale online learning pl…
📄 From emotion regulation to academic success: A self-determination theory-based emotional agent-mediated approach
> **Synthesis:** Emotion regulation has been recognized as a key factor affecting students' academic success. This study proposed a self-determination theory (SDT)-based emotional agent framework, imp…
📄 Not a universal benefit: Examining the differential effects of emotional AI on L2 pre-service teachers' language learning
> **Synthesis:** This study challenges the assumption that emotional design in educational AI provides universal benefits, investigating when, for whom and how it impacts L2 vocabulary learning. A qua…
2026-08-10 · affective-computing, language-learning, ai-education, ai-tutoring, educational-technology
📄 Not all collaboration benefits from competition: Collaboration modes in a computational thinking game
> **Synthesis:** This study investigated different collaboration modes and how they interact with competition to influence computational thinking learning, group metacognition and in-game behaviours. …
📄 The synergy of pedagogical agents and metaphorical design: Reducing psychological distance to enhance video learning
> **Synthesis:** This study examined the effects of pedagogical agents (real vs. virtual) and metaphorical design on learners' performance, attention, comprehension, and psychological distance in a 2x…
🏷️ Learning Analytics
> **Learning analytics** — the measurement, collection, analysis, and reporting of data about learners and their contexts for the purpose of understanding and optimizing learning. AI has transformed l…
🏷️ RAG (Retrieval-Augmented Generation)
> **RAG (Retrieval-Augmented Generation)** — an AI architecture that combines information retrieval with text generation, allowing LLMs to ground responses in external knowledge sources rather than re…
📄 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…
📄 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…
📄 Hypergamigication Through Integrating Game Engines and Learning Management Systems: Ender's Game
> **Araz Yusubov, Michael Bechtel, Tangiz Alizada** — arXiv preprint (2026).…
📄 SAVVY: Student Attention Visualization for Video-based Learning Analysis
> **Shixian Zhou, Minghuan Shen, Xiaolin Wen, Zijun Qiu, Yongliang Jiang, Xiangyang Wu, Fei Wu, Yong Wang, Zhiguang Zhou** — arXiv preprint (2026).…
📄 Technology-Enhanced Tabletop Exercises for Cybersecurity Education: Lessons Learned
Innovative practice paper examining the integration of technology-enhanced tabletop exercises into cybersecurity curricula. Addresses the gap between professional TTX practice and university adoption,…
📄 From Idea to Classroom in Days: Using "Vibe Coding" to Create a Programming Process Visualizer from IDE Activity Logs
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…
📄 Concept Catalyst: Exploring Scrutable Interfaces to Structure K-12 Teacher Interactions with Generative AI
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…
📄 Co-Designing Community-Centered AI Education for Adults: A Midwestern Case Study
📄 [PDF](https://arxiv.org/pdf/2606.26565) This case study reports on a community-based participatory research project that co-designed an [[ai-literacy|AI literacy]] program for 54 adults (48 in-pers…
📄 Through the WordStream Glass: Revisiting Quantitative Encoding for Qualitative Learning Analytics
Revisits WordStream (2009) as a quantitative encoding for qualitative learning analytics; demonstrates how structured coding can surface cohort-level trends while preserving individual narrative conte…
📄 Improving Capstone Team Outcomes through Dynamic Skill Matching and Preference Alignment
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, higher-ed, stem-education, personalized-learning, learning-analytics
📄 The Missing Layer: Why EdTech Needs Design-Time Generative UI, Not Just Runtime Personalization
> Argues the dominant paradigm of runtime GenUI adaptation in EdTech is insufficient. Proposes design-time card-based GenUI where educational content is encoded as modality-agnostic semantic units and…
2026-06-16 · personalized-learning, adaptive-learning, student-experience, equity, learning-analytics
📄 Leveraging Physiological Signals to Predict Exam Outcomes with Machine Learning
> Investigates ML models to predict exam outcomes from physiological data (electrodermal activity, heart rate, skin temperature) collected during exams. Evaluates logistic regression, random forest, S…
📄 AI-Integrated Learning Management System for Middle School: A Longitudinal Study of Learning Outcomes
**Misan Paul Etchie, Taiwo Olutosin** — cs.CY, cs.AI, cs.HC This paper proposes an AI-integrated LMS designed specifically for middle school instruction, addressing the gap between current LMS platfor…
2026-06-10 · k-12, adaptive-learning, personalized-learning, formative-assessment, intelligent-tutoring
📄 Design and Implementation of a Real-time Multi-site Immersive Learning System Using Photon Fusion
> 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…
📄 TibetCPR: A Multimodal Tactile Feedback System for CPR Training in High-Altitude Regions
**Yibo Meng, Ruiqi Chen, Zhiming Liu, Xiaolan Ding** — Accepted at MobileHCI 2026 — cs.HC TibetCPR is a low-cost, self-guided CPR training system that pairs depth-driven electrotactile feedback with r…
📄 VISMATIC: Secure Containerized Framework for Process-Oriented CS Education Monitoring
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…
📄 Generalizing a Highly Configurable Analytics Pipeline to Replicate and Support Educational Research Across Multiple Domains
Artificial intelligence assistants deployed in online learning environments create new opportunities to collect large volumes of learner interaction data and generate insights to improve student outco…
2026-05-29 · learning-analytics, personalized-learning, higher-ed, feedback-loop, student-experience
📄 LLM-assisted sentiment analysis for integrated computational and qualitative mixed methods education research: A case study of students' written reflection assignments
**LLM-Assisted Sentiment Analysis for Mixed-Methods Education Research** demonstrates how LLMs can serve as scalable qualitative research assistants, enabling researchers to investigate multiple demog…
📄 AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems
Serious games are widely used for learning and training across domains such as healthcare, defense, and education. This chapter examines how contemporary AI approaches may support real-time instructio…
📄 PromptDecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions
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…
📄 CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy
Agentic analytics using AI-produced concept-map artifacts as shared human-AI representations improves collaboration quality analysis and AI response grounding over transcript-only baselines. CLARA int…
📄 AI-Driven Tools for Enhancing Campus Well-being: Prevention and Intervention
This dissertation presents an integrated AI framework for campus well-being spanning prevention (improving feedback collection) and intervention (advancing mental health detection). It represents an i…
📄 Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments
> Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments **Kurdya et al. (2026)** — Multiple institutions. arXiv cs.AI.…
📄 Guidelines for Designing AI Technologies to Support Adult Learning
> A set of 19 empirically-grounded design guidelines for AI-supported learning technologies tailored to adult learners, synthesized by Reddig et al. (2026) from longitudinal deployment data at a US na…
📄 AI Peer Feedback Systems
> 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…
📄 From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle
> Ostrowska, Kukla & Majstrak (2026) present an AI tutoring system **integrated into the Moodle LMS** designed to scaffold students from surface-level fact recall to deep conceptual understanding thro…