Science Technology Engineering Mathematics
PulseAugur coverage of Science Technology Engineering Mathematics — every cluster mentioning Science Technology Engineering Mathematics across labs, papers, and developer communities, ranked by signal.
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AI literacy workshops show promise in narrowing gender STEM gap
A recent study indicates that a one-day AI literacy workshop significantly improved AI knowledge, confidence, and career interest for both male and female secondary students. Notably, female students demonstrated greater gains, suggesting that targeted interventions can effectively help close the gender gap in STEM fields.
Humanities curriculum development to incorporate AI ethics and impact
As AI becomes more integrated into society, there will be a growing need for humanities education to address AI's ethical implications and societal impact. Expect to see new curriculum modules or courses emerge within humanities departments focusing on AI ethics, philosophy of AI, and the historical context of technological disruption.
Gender differences observed in student AI tool usage and deepfake engagement
A study on Australian secondary students revealed distinct patterns in AI engagement. Male students showed higher interest in STEM careers and were more involved with deepfake content creation/sharing. Female students were more inclined to use AI for academic tasks and sought AI assistance for schoolwork, highlighting differing student interactions with AI technologies.
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AI's impact on careers: Experts advise adaptability over AI-proof degrees
Choosing a career path that is resistant to AI's future impact is challenging due to rapid technological advancements. Experts suggest focusing on developing adaptable skills rather than identifying specific AI-proof jo…
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MMLU benchmark audit reveals focus on retrieval over reasoning
A new audit of the Massive Multitask Language Understanding (MMLU) benchmark reveals that its aggregate score primarily measures factual retrieval rather than reasoning capabilities. Researchers used Item Response Theor…
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VISTA benchmark evaluates vision-language models in classroom settings
Researchers have introduced VISTA, a new benchmark for evaluating vision-language models in classroom settings. VISTA leverages the Classroom Observation Protocol for Undergraduate STEM (COPUS) to provide dense, multi-l…
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New STEM data analysis method reveals phase evolution in ferroelectric materials
Researchers have developed a new field-based approach to analyze atomically resolved scanning transmission electron microscopy (STEM) data, representing images as spatially varying latent Bragg fields. This method provi…
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AI boosts homework scores but tanks exam performance, study finds · 8 sources tracked
A recent study indicates that while AI tools can boost homework scores by 18% and reduce completion time, they lead to a significant 20% drop in actual exam performance. This learning loss is particularly concentrated a…
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Emily M. Bender to lead workshop on critical thinking in STEM
Emily M. Bender is preparing a workshop focused on teaching critical thinking within Science, Technology, Engineering, and Mathematics (STEM) fields. She plans to begin her presentation with slides that outline the core…
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African AI tool AuraLearn opens STEM doors for visually impaired students
AuraLearn, an AI tool developed in Africa, is designed to help visually impaired students access Science, Technology, Engineering, and Mathematics (STEM) education. This initiative aims to break down barriers and provid…
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New MMGrader approach shows promise for assessing student mental models
A new research paper proposes MMGrader, an approach designed to infer the quality of students' mental models from their multimodal responses using concept graphs. The study evaluated nine openly available models, findin…
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OpenAI unveils "Strawberry" o1 reasoning model with internal Chain-of-Thought
OpenAI has introduced a new AI model series, codenamed "Strawberry" and internally referred to as o1, which represents a significant architectural shift. Unlike traditional autoregressive models that predict the next to…
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New framework guides GenAI use in STEM assessments
A new paper proposes a framework for integrating Generative Artificial Intelligence (GenAI) into STEM assessments, balancing the need for academic integrity with preparation for AI-enabled workplaces. The framework, gro…
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Pro-science group urges Mark Kelly to run for president in 2028
A liberal organization called 314 Action Fund is urging Senator Mark Kelly to run for president in 2028. The group, which focuses on electing candidates with STEM backgrounds, has raised over $100 million in the past de…
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Time-to-event modeling offers richer insights than binary classification
This article discusses the limitations of using binary classification for prediction problems, particularly in domains with rare events like asset failure, customer churn, and patient recurrence. It advocates for a time…
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Frontier LLMs show "jagged" intelligence due to reward hacking
Frontier large language models exhibit a peculiar "jagged" intelligence, excelling in STEM fields while underperforming in others. This uneven capability, coupled with a tendency to agree with users, stems from a shared…
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New dataset MIDAL aims to improve STEM educational content accessibility
Researchers have introduced MIDAL, a new dataset designed to improve the accessibility of STEM educational materials. The dataset contains 2,020 descriptions of mathematical images, intended to train vision-language mod…
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New Biometric Sensor Network Tracks Student Engagement in STEM Lectures
Researchers have developed a novel Biometric Sensor Network (BSN) designed to measure student engagement in STEM lectures in real-time. This system utilizes Student Processing Units (SPUs) that operate non-intrusively a…
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New research tackles sparse attention for efficient long-context LLMs · 6 sources tracked
Multiple research papers released in August 2026 explore novel approaches to sparse attention mechanisms for large language models, aiming to improve efficiency and long-context modeling. These studies introduce techniq…
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New corpus aids LLM-based simplification of scientific papers
Researchers have developed a new workflow to simplify complex scientific papers for broader audiences using large language models. This human-in-the-loop process involves generating initial simplifications with GPT-4o-m…
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Video explores three types of engineers in STEM
This cluster contains a single item discussing the three types of engineers. The content is presented as a short video on YouTube, promoted with hashtags related to STEM and diversity in engineering.
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ByteDance launches Seed STEM Scientist Program to explore AI in scientific discovery
ByteDance's Seed Edge team has launched the Seed STEM Scientist Program, aiming to recruit 100 scholars to explore how AI can accelerate scientific discovery. The program will focus on real-world research problems, prov…
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New framework combats scaffolding collapse in AI Socratic tutors
Researchers have developed a new framework called Scaffold-Preserving Representation Alignment to address scaffolding collapse in AI Socratic tutors. This issue occurs when tutors abandon guided inquiry and reveal answe…