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When working together to achieve a goal, especially in collaborative problem solving (CPS) tasks, students are likely to use many different forms of communication. These include not only language but also actions, gestures, and other nonverbal cues. Gestures, in particular, are rich in meaning and often complement spoken language.
Collaboration and collaborative learning are key 21st century skills that increase classroom engagement, participation, and learning. But what does it actually mean for students to collaborate, and do so well?
Understanding and processing speech in classrooms can be difficult because it comes with its own set of challenges such as background noise, people’s unique speaking styles, changes in pitch, and differences in the content of speech.
AI systems that are designed to offer real-time classroom support need to be able to understand what students are saying—and do so with high accuracy. This requires Automatic Speech Recognition (ASR), which is the process where spoken language is automatically converted into text.The text can then be used by an AI to understand how students are working together.
Over the last couple of years, the topic of AI has catapulted into the public sphere, fueled in part by the release of ChatGPT. Numerous headlines that we encounter focus on the doom and gloom of AI. Others boast its amazing capacity to mimic human intelligence. In the U.S., we’ve seen many school districts BAN the use of AI.
In today’s rapidly evolving digital world, parents are faced with growing questions about how to provide the best education for their children. One increasingly important factor in education is Human-AI teaming where students collaborate with artificial intelligence (AI) technologies to enhance learning.
As school and district leaders, you are used to building planes while flying them. But the advent of AI—specifically Generative AI—in classrooms has caught many of us off guard and not sure what airspace we’ve entered. Generative AI is the technology behind popular tools like ChatGPT, as well as tools today that use AI to help teachers build lesson plans and assessments for use in their classrooms.
The iSAT MakeCode Activity Logging Platform provides a robust system for tracking and analyzing user coding activity in the Microsoft MakeCode environment. It is an expanded version of the Microsoft MakeCode blocks/JavaScript code editor for the micro:bit, designed to log and track user coding activity.
As we enter our fifth year as an Institute, we’re excited to expand the iSAT blog. One of our principal goals is to address the central challenge of how to promote deep conceptual learning via rich socio-collaborative learning experiences for all
By Jeff BushJeff Bush is an Assistant Research Professor at the Institute of Cognitive Science at CU Boulder. He is also a theme lead at iSAT. His research focuses on the intersection of technology, STEM teacher learning and professional development