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The U.S. Department of Education recently published a set of guidelines when creating AI educational products. “Designing for Education with Artificial Intelligence: An Essential Guide for Developers,” highlights the importance of trust while creating AI products and recommends that developers make sure their work accomplishes the following:
- Keep teaching and learning as the main priority by aligning their products with education-specific values and visions;
- Show evidence of impact in their rationale behind creating products;
- Work to close gaps in equity and bias, which have been a major concern with AI products;
- Ensure protection of students and their data; and
- Demonstrate transparency in product design and function and build trust with the school community.
“Trust improves the co-design process between developers and educators so that together they can create and scale innovative products,” the report says. “Because the technology is evolving rapidly, developers may find it valuable to go beyond attending to and complying with today’s federal guidelines and guardrails to earn trust.”
Guardian Airwaves Guidelines:
Personalization: Learners are increasingly expecting personalized experiences. We differentiate ourselves from other EdTech companies by incorporating adaptive learning technologies and computer vision.
Computer Vision enables our systems to “see” and understand our student through digital images or video. This technology uses algorithms and AI to process, analyze, and interpret visual data in ways that can be integrated into educational platforms. Read more about computer vision in the next section.
Developing with SMEs: Collaboration with experienced educators, training instructors, and learners is embedded in our design & development process.
Gamification: We want our online learners to be engaged, challenged, confident, and feel accomplished by using gamified reward elements which parents can opt to contribute to.
Proven Learning Theories: We are not starting from scratch. We are only updating learning tools to keep up with our learner’s needs.
RAI-Powered Emotion and Behavior Recognition
Emotional and behavioral recognition through AI is poised to transform how edtech platforms engage with learners. By analyzing facial expressions, voice tone, and even physiological signals, these AI systems can gauge student emotions and adjust the learning process accordingly. This capability enables platforms to not only track academic performance but also understand the emotional context of a student’s learning journey.
For instance, a learning platform could use emotional AI to detect when a student is frustrated or disengaged during a lesson. The system might then adjust the content delivery or prompt an instructor to intervene, improving engagement and learning outcomes. We can implement this technology by integrating emotional AI into their platforms using technologies like Natural Language Processing (NLP) and Machine Learning (ML) to identify emotional cues from word choice, sentence structure, and tone of voice. Additionally, computer vision can analyze visual elements such as facial expressions and body language to assess emotional states effectively.
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32 Bayo Vista Avenue
Larkspur, California 94939