UA Scientists Using Facebook To Build 6-12 Learning Tool

A team of faculty at the University of Arizona in Tucson is building a new Facebook program intended to help middle and high school students learn how to teach themselves. Using a three-year, $1.4 million grant from the Defense Advanced Research Projects Agency, the project, called Teach Ourselves, will give users points for doing their homework, showing others how to work through math equations, translating word problems into other languages, critiquing a student's paper, writing educational Web applications, and producing electronic flashcards or an educational video.

The point of the research is to examine how students learn in a Web-based environment built for networking and entertainment. The effort is part of the team's larger effort to build the International Internet Classroom, which is working to centralize information and resources that could be of value to teachers.

Though details are still being worked out, users might eventually be able to cash in virtual points earned for tangible goods, such as college credit. The team is also sorting out how to sustain the program once funding ends and to monitor for cheating.

According to project co-lead Carole Beal, director of K-12 STEM education programs for the College of Science, the first phase of the project will include students from 15 states. Students from all 50 states will be able to participate by project's end.

"We're hoping students will want to do intellectual work outside of school and will find it rewarding," said Beal.

Chemistry, physics, biology and computer science are among the disciplines Teach Ourselves will focus on. The team is also developing the project to help students who have a difficult time with formal learning environments and offer lessons on subjects not typically taught in public schools, such as computer science. The social networking aspects of the initiative come into play because the program also encourages participants to help educate their friends.

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • glowing digital brain-shaped neural network surrounded by charts, graphs, and data visualizations

    Google Releases Advanced AI Model for Complex Reasoning Tasks

    Google has released Gemini 2.5 Deep Think, an advanced artificial intelligence model designed for complex reasoning tasks.

  • abstract pattern of cybersecurity, ai and cloud imagery

    OpenAI Report Identifies Malicious Use of AI in Cloud-Based Cyber Threats

    A report from OpenAI identifies the misuse of artificial intelligence in cybercrime, social engineering, and influence operations, particularly those targeting or operating through cloud infrastructure. In "Disrupting Malicious Uses of AI: June 2025," the company outlines how threat actors are weaponizing large language models for malicious ends — and how OpenAI is pushing back.

  • cybersecurity book with a shield and padlock

    NIST Proposes New Cybersecurity Guidelines for AI Systems

    The National Institute of Standards and Technology has unveiled plans to issue a new set of cybersecurity guidelines aimed at safeguarding artificial intelligence systems, citing rising concerns over risks tied to generative models, predictive analytics, and autonomous agents.

  • magnifying glass highlighting a human profile silhouette, set over a collage of framed icons including landscapes, charts, and education symbols

    AWS, DeepBrain AI Launch AI-Generated Multimedia Content Detector

    Amazon Web Services (AWS) and DeepBrain AI have introduced AI Detector, an enterprise-grade solution designed to identify and manage AI-generated content across multiple media types. The collaboration targets organizations in government, finance, media, law, and education sectors that need to validate content authenticity at scale.