AI in education
16 notes, newest first. Includes the vault tags ai in education, education.
StudentBench: AI and human tutoring yield equivalent GRE learning gains
StudentBench is a public AI-tutoring evaluation platform built from more than 175,000 student-AI messages. The preprint reports a study of 2,383 human participants assigned to AI tutoring, expert human tutoring, or no…
The future of practice: Enabling teachers to create learning interactives with generative UI
Google Research describes a system that generates guided, interactive STEM simulations from teacher objectives using generative UI and pedagogical guardrails. It released a library of more than 30 teacher-vetted…
ACL Anthology team
The ACL Anthology is a collection of papers related to natural language processing, published by the ACL Anthology team. Papers from 2016 onwards are licensed under Creative Commons Attribution 4.0 International…
SGA: Plug&Play Geometric Verification for Educational Video Synthesis
Researchers propose a new module called Symbolic Geometric Agent (SGA) that works with existing animation pipelines to improve spatial correctness and visual legibility for educational videos. The SGA intercepts code…
SGA: Plug&Play Geometric Verification for Educational Video Synthesis
Researchers have proposed a new tool called Symbolic Geometric Agent (SGA) to improve the spatial correctness and visual legibility of educational videos generated by Large Language Models (LLMs). The SGA intercepts…
AI-accelerated End-to-End Framework for Rapid Professional Upskilling
A new end-to-end framework that uses AI to accelerate various stages of professional upskilling has been presented by the authors. The framework was validated through three external signals: approval by the US National…
Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education
The paper introduces Earthquaker-AI, a hybrid educational framework that combines conversational AI with Lego robotics to teach primary school students about earthquake preparedness. The system uses Lego WeDo2 for…
Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education
The paper introduces Earthquaker-AI, a hybrid educational framework that uses Lego WeDo2 robotics for earthquake simulations and an AI assistant for guided learning and feedback. The system aims to enhance earthquake…
Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis
This research presents a large-scale descriptive analysis of an AI-based learning assistant named Syntea, used by 77,543 students in distance studies. The study examines usage patterns across various demographic and…
Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis
This study presents a large-scale analysis of an AI-based learning assistant called Syntea, used by 77,543 students in distance learning. The analysis examines usage patterns based on demographic and structural…
Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis
The text describes a study that analyzed the use of an AI-based learning assistant (Syntea) among 77,543 students in distance education, looking at usage patterns across various demographic and structural factors. The…
Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
The paper evaluates if four large language models can accurately grade Linux/bash command responses in a way that approximates expert judgment. The authors use a four-level cognitive taxonomy to test the models on real…
Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
A study evaluates four large language models (GPT, Claude Opus, Gemini, and GLM) to grade Linux/bash command responses for computing education. The study uses a four-level cognitive taxonomy that assesses the…
Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
The paper evaluates whether four large language models can approximate the judgement of experts when grading Linux/bash command responses from second-year Computer Engineering students. The study uses a four-level…
Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach
This research evaluates the effectiveness of four large language models in grading Linux/bash command responses from second-year Computer Engineering students' exams. The study uses a four-level cognitive taxonomy…
ManimAgent: Self-Evolving Multimodal Agents for Visual Education
Researchers present ManimAgent, a self-evolving multimodal agent that uses a dual-channel Episodic Memory Bank to carry reflection experience across tasks in generating Python code using the Manim library for…
