5 Tools for Technology Transformation in Schools

A new report from CoSN explores five ways that technology has the ability to accelerate K-12 innovation.

With the accelerating pace of new technologies for the classroom, the Consortium for School Networking wants to help schools overcome hurdles in adopting new innovations. A new report from CoSN identifies the top five technology enablers that will help K-12 institutions find more expansive opportunities and solutions in education. These enablers are:

  • Mobile devices (defined as "hand-held or wearable tools that are internet-connected and enable knowledge consumption/creation);
  • Blended learning ("the provision of learning experiences via a mix of face-to-face and online interaction, enabled by a collection of digital tools and technologies");
  • Cloud infrastructure ("a virtual infrastructure that is delivered or accessed via a network or the internet, enabling IT services to move away from physically being present in a school");
  • Extended reality (encompassing "augmented, virtual and mixed reality — a collection of technologies that enhance the physical world with interactive digital imagery and graphics"); and
  • Analytics and adaptive technologies ("technologies that measure learning and enable personalization").
CoSN technology enablers

The technologies were selected by CoSN's advisory board, with over 100 members from U.S. and international education organizations and ministries of education. This report is the third part of a new CoSN annual series that tackles the hurdles, accelerators and technology enablers behind K-12 technology innovation.

"As innovation races ahead, tech enablers help school technology leaders make a smooth transition to modern, personalized learning environments," said CoSN CEO Keith Krueger. "Taken together, CoSN's complete series gives educators forward-thinking insights to make the most of their own district's opportunities."

In particular, the report goes into more depth on blended learning as well as analytics and adaptive technologies. In order to drive innovation with blended learning, the report makes some suggestions:

  • Identify a problem or an opportunity to address;
  • Define a vision, goals and measurements;
  • Engage the community;
  • Discuss teaching and learning models and methods to ensure they fit the context of the school system or school;
  • Select digital technologies that support your goals — and make sure that the technology infrastructure can support these technologies;
  • Provide professional development for leaders and teachers;
  • Foster a supportive school climate and culture; and
  • Create flexible teaching and learning environments.

When it comes to analytics and adaptive technologies, the report encourages educators to utilize these kinds of tools, but recognizes that there could be tensions over how these analytical tools collect data. Concerns around data privacy and data quality are issues that need to be addressed.

In addition, there could be some debate around the role of the educator in using these analytical and adaptive tools. Rather than relying on these tools to provide guidance and support, the report said, the focus should be about using this technology to provide personalized instruction and to save time for personal interactions between educators and students.

For more information, the full copy of the report is available with registration through the CoSN website.

About the Author

Sara Friedman is a reporter/producer for Campus Technology, THE Journal and STEAM Universe covering education policy and a wide range of other public-sector IT topics.

Friedman is a graduate of Ithaca College, where she studied journalism, politics and international communications.

Friedman can be contacted at [email protected] or follow her on Twitter @SaraEFriedman.

Click here for previous articles by Friedman.


Featured

  • glowing digital human brain composed of abstract lines and nodes, connected to STEM icons, including a DNA strand, a cogwheel, a circuit board, and mathematical formulas

    OpenAI Launches 'Reasoning' AI Model Optimized for STEM

    OpenAI has launched o1, a new family of AI models that are optimized for "reasoning-heavy" tasks like math, coding and science.

  • landscape photo with an AI rubber stamp on top

    California AI Watermarking Bill Supported by OpenAI

    OpenAI, creator of ChatGPT, is backing a California bill that would require tech companies to label AI-generated content in the form of a digital "watermark." The proposed legislation, known as the "California Digital Content Provenance Standards" (AB 3211), aims to ensure transparency in digital media by identifying content created through artificial intelligence. This requirement would apply to a broad range of AI-generated material, from harmless memes to deepfakes that could be used to spread misinformation about political candidates.

  • clock with gears and digital circuits inside

    Report Estimates Cost of AI at Nearly $300K Per Minute

    A report from cloud-based data/BI specialist Domo provides a staggering estimate of the minute-by-minute impact of today's generative AI boom.

  • glowing lines connecting colorful nodes on a deep blue and black gradient background

    Juniper Intros AI-Native Networking and Security Management Platform

    Juniper Networks has launched a new solution that integrates security and networking management under a unified cloud and artificial intelligence engine.