Concurrent Session I: 8:50 AM – 9:50 AM, EST (60 minutes)
Workshop 1: Problem-Solving with Data: A Fresh Squeeze on Data
By Annabel Hasty (Quest Academy)
With a strong female lead character, A Fresh Squeeze on Data is an engaging story with bright graphics and accompanying lesson plans that relate directly to the interests of upper elementary students. This story describes how a young girl named Clara sets up a lemonade stand to raise money for a local hospital and learns the importance of data with the help of her data scientist mom. Based on the Five Big Ideas of AI, this book focuses directly on Societal Impact and Learning. Now available in 7 languages, A Fresh Squeeze on Data teaches the importance of data and recognizing data bias around the world.
Target Audience: K-12 Teachers and Technology Coaches
Workshop 2: Teaching Artificial Intelligence to K-12: An Active Learning Approach with GRADE
By Neelu Sinha (Fairleigh Dickinson University) and Ryan Evans (Haskell School, Wanaque School District)
This workshop will introduce different ways K-12 teachers can incorporate Artificial intelligence (AI) lessons in their classrooms using hands-on and active learning strategies. We will use a 5-step progressive process that builds up along the way, starting with empathy (observation and listening), then defining the problem based on observations to generate ideas for potential solutions, followed by research and building a prototype based on the ideas, and finally testing the prototype.
Target Audience: K-12 Teachers
Workshop 3: Artificial Intelligence in K-12 Education: Issues and Applications for Librarians and Teachers
By Gigi Mohamad (William Paterson University)
Technology literacy has become a required key skill for K-12 students. The concept has expanded to be embedded in many subject areas and curricula, including the library program. School librarians and teachers are always at the forefront of introducing their students to the latest technological trends. Artificial Intelligence (AI) and Machine Learning are among the rapidly advancing technologies that both educators and students need to understand.
This presentation will focus on defining AI and machine learning and provide librarians and teachers with easy-to-implement activities that can be incorporated into various subject areas, library technology program, and makerspace curricula for learners of all ages.
Target Audience: K-12 Librarians and Teachers
Workshop 1: Problem-Solving with Data: A Fresh Squeeze on Data
By Annabel Hasty (Quest Academy)
With a strong female lead character, A Fresh Squeeze on Data is an engaging story with bright graphics and accompanying lesson plans that relate directly to the interests of upper elementary students. This story describes how a young girl named Clara sets up a lemonade stand to raise money for a local hospital and learns the importance of data with the help of her data scientist mom. Based on the Five Big Ideas of AI, this book focuses directly on Societal Impact and Learning. Now available in 7 languages, A Fresh Squeeze on Data teaches the importance of data and recognizing data bias around the world.
Target Audience: K-12 Teachers and Technology Coaches
Workshop 2: Teaching Artificial Intelligence to K-12: An Active Learning Approach with GRADE
By Neelu Sinha (Fairleigh Dickinson University) and Ryan Evans (Haskell School, Wanaque School District)
This workshop will introduce different ways K-12 teachers can incorporate Artificial intelligence (AI) lessons in their classrooms using hands-on and active learning strategies. We will use a 5-step progressive process that builds up along the way, starting with empathy (observation and listening), then defining the problem based on observations to generate ideas for potential solutions, followed by research and building a prototype based on the ideas, and finally testing the prototype.
Target Audience: K-12 Teachers
Workshop 3: Artificial Intelligence in K-12 Education: Issues and Applications for Librarians and Teachers
By Gigi Mohamad (William Paterson University)
Technology literacy has become a required key skill for K-12 students. The concept has expanded to be embedded in many subject areas and curricula, including the library program. School librarians and teachers are always at the forefront of introducing their students to the latest technological trends. Artificial Intelligence (AI) and Machine Learning are among the rapidly advancing technologies that both educators and students need to understand.
This presentation will focus on defining AI and machine learning and provide librarians and teachers with easy-to-implement activities that can be incorporated into various subject areas, library technology program, and makerspace curricula for learners of all ages.
Target Audience: K-12 Librarians and Teachers