Research

Teachers are integrating AI into instruction, but little is known about how districts are supporting them during the rollout of AI in schools

This paper examines pedagogical biases in AI-powered educational tools, focusing specifically on lesson plan generators. We investigate how these tools may implicitly embed outdated educational approaches that limit student agency and classroom dialogue. Through analysis of 90 lesson plans from commercial lesson plan generators, we found that AI-generated content predominantly promotes teacher-centered classrooms with limited opportunities for student choice, goal-setting, and meaningful dialogue. To mitigate this issue, we further experimented with intentional prompt engineering, which showed promise in significantly enhancing these dimensions in AI-generated lesson plans. We offer practical strategies for educators and developers to mitigate harmful pedagogical biases while promoting contemporary educational values. This work contributes to the critical conversation about how AI tools should be designed and used to support, rather than undermine, the future of education that values student agency and productive classroom dialogue.

AI models are trained and not directly programmed, so we don’t understand how they do most of the things they do. Our new interpretability methods allow us t...

Chatbots should be built with enough resilience to deal with difficult emotional situations, researchers said.

Having an AI on your team can increase performance, provide expertise, and improve your experience

spanWe examine how artificial intelligence transforms the core pillars of collaboration—performance, expertise sharing, and social engagement—through a prereg

Washington, DC – Consumer Reports (CR) released findings today from an assessment of voice cloning products from six companies: Descript, ElevenLabs, Lovo, PlayHT, Resemble AI, and Speechify. CR found that a majority of the products assessed did not have meaningful safeguards to stop fraud or misuse of their product.  Many AI voice cloning products enable […]

A recent study conducted by researchers from multiple universities claims that AI can predict your career and education based on your face.

Teens are far more likely to say it’s acceptable to use ChatGPT for research (54%) than for math problems (29%) and essays (18%).

archived 30 Dec 2024 07:22:03 UTC

Researchers from Google and Stanford have created accurate AI replicas of more than 1,000 people.

Chat Generative Pre-Trained Transformer (ChatGPT) has generated excitement and concern in education. While cross-sectional studies have highlighted co…

As more publishers cut content licensing deals with ChatGPT-maker OpenAI, a study put out this week by the Tow Center for Digital Journalism -- looking at

Discover how AI may soon change the landscape of communication for those who are deaf or hard of hearing.

Apple has reportedly stopped its development of an iPhone hardware subscription program. The company had planned to launch the program in 2022, delayed it

The Program for the International Assessment of Adult Competencies (PIAAC) — Welcome to PIAAC Results

OpenAI is funding academic research at Duke into algorithms that can predict humans' moral judgements.

Leveraging unconventional data, including website traffic data and Google Trends, this paper unveils the real-time usage patterns of generative artificial intelligence .

A small study found ChatGPT outdid human physicians when assessing medical case histories, even when those doctors were using a chatbot.

Cato CTRL has discovered a threat actor, ProKYC, selling a deepfake tool in the cybercriminal underground to enable new account fraud against cryptocurrency exchanges.

This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity concerns. Results show significant reductions in detector accuracy (17.4%) when faced with simple techniques to manipulate the AI generated content. The varying performances of GenAI tools and detectors indicate they cannot currently be recommended for determining academic integrity violations due to accuracy limitations and the potential for false accusation which undermines inclusive and fair assessment practices. However, these tools may support learning and academic integrity when used non-punitively. This study aims to guide educators and institutions in the critical implementation of AI text detectors in higher education, highlighting the importance of exploring alternatives to maintain inclusivity in the face of emerging technologies.

IU is leading a federally funded effort to study the ability of AI to amplify online messaging.

Preliminary findings inspire other large Harvard classes to test approach this fall