Latest Articles for Education Technology

A new dataset to assess planning skills of language models in real-life tasks.

Exploring how AI can improve mathematical reasoning and discovery.

Explore tangible cubes for intuitive data manipulation in mixed reality settings.

A new method boosts video question-answering while retaining prior knowledge.

CoAVT integrates audio, visual, and text data for enhanced understanding.

A look at how machines analyze and interpret visual data.

A study on how AI tools affect writing experiences and perceptions.

BriSe AI focuses on machine self-awareness for better interactions.

A fresh approach enhances the quality assessment of machine-generated questions.

CHARM assesses how well LLMs reason in both global and Chinese contexts.

New methods combine visual and text inputs for improved language learning in machines.

A study focuses on how children use technology for school tasks.

DTV method enhances reliability of answers from large language models in math problems.

A new framework helps language models learn from mistakes in problem-solving.

IsoBench evaluates how models handle text and images to identify strengths.

A new training method enhances the compositionality of vision-language models.

This study investigates using AI to create distractors for math multiple-choice questions.

Learn how to integrate XAI systems in Jupyter to enhance AI understanding.

An overview of different learning methods used by language models.

Exploring how AI-Tutors enhance programming learning experiences for students.

KazQAD dataset improves question answering capabilities in Kazakh language.

A look at the role of Large Language Models in autonomous agents.

Improving computer programs for solving math word problems through better data examples.

Examining the role of language models in supporting critical thinking among philosophers.

New methods improve quality of dictionary example sentences via language models.

Examining inaccuracies in AI text generation and their implications.

A platform that empowers teachers to create customized learning experiences.

Examining exploration and adaptability in reinforcement learning algorithms.

This paper reviews the benefits of many-shot learning in language models.

Introducing a self-guided approach for better reasoning in language models.

A new algorithm improves online learning by adapting to incoming data effectively.

Exploring the current state and future directions of Mathematical Expression Recognition technology.

A model shows mutual exclusivity bias in word association tests.

New dataset offers insights into cognitive load during tasks.

IMEX-Reg enhances machine learning by reducing forgetting and improving task performance.

Study combines RL and LLM technologies to improve educational agent performance.

How ChatGPT assists students in mastering data visualization techniques.

An overview of imitation learning and its applications in training agents.

A new method enhances reasoning in smaller language models for complex tasks.

AlphaMath improves reasoning in language models using Monte Carlo Tree Search.