Isbn: 9798895570180 - critical ai in k-12 classrooms: a practical guide for cultivating justice and joy (14 resultados)

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Paperback. Condición: new. Paperback. A practical guide for teachers and students navigating the complicated intersection of artificial intelligence, education, and justice Artificial intelligence is rapidly integrating into today s classrooms, but unlike other new technologies, AI has the potential to harm, making it difficult to take advantage of its benefits. In Critical AI in K-2 Classrooms, Stephanie Smith Budhai and Marie K. Heath draw attention to the biases embedded within AI algorithms, such as those powering OpenAI's ChatGPT and DALL-E, to guide students and teachers in developing strategies to best incorporate AI-or not-into equitable learning. AI's reliance on existing data and knowledge systems means Black, queer, those with disabilities, and other marginalized students are at greater risk of being harmed by built-in limitations and bias. Smith Budhai and Heath show how to circumvent if not actively resist such harms as machine learning, NLPs, LLMS, and GenAI enter the classroom, with practical examples rooted in culturally sustaining, abolitionist, and fugitive pedagogies across disciplines. Their practical guide creatively answers the concerns of educators committed to forward-thinking yet fair instruction and the needs of students eager to use AI for just ends. Critical AI in K 2 Classrooms meets the challenges of a key STEM technology with an eye toward cultivating a more just world. Balancing responsible learning with the joy of discovery, Smith Budhai and Heath build a framework for AI instruction that all educators can confidently use. A roadmap for classroom AI that confronts hidden biases inherent in systems including ChatGPT and DALL-E. It equips educators and students with practical strategies to counter harm and uplift marginalized voices, drawing on critical, culturally informed, abolitionist, and fugitive pedagogies for equitable instruction. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condición: new. Paperback. A practical guide for teachers and students navigating the complicated intersection of artificial intelligence, education, and justice Artificial intelligence is rapidly integrating into today s classrooms, but unlike other new technologies, AI has the potential to harm, making it difficult to take advantage of its benefits. In Critical AI in K-2 Classrooms, Stephanie Smith Budhai and Marie K. Heath draw attention to the biases embedded within AI algorithms, such as those powering OpenAI's ChatGPT and DALL-E, to guide students and teachers in developing strategies to best incorporate AI-or not-into equitable learning. AI's reliance on existing data and knowledge systems means Black, queer, those with disabilities, and other marginalized students are at greater risk of being harmed by built-in limitations and bias. Smith Budhai and Heath show how to circumvent if not actively resist such harms as machine learning, NLPs, LLMS, and GenAI enter the classroom, with practical examples rooted in culturally sustaining, abolitionist, and fugitive pedagogies across disciplines. Their practical guide creatively answers the concerns of educators committed to forward-thinking yet fair instruction and the needs of students eager to use AI for just ends. Critical AI in K 2 Classrooms meets the challenges of a key STEM technology with an eye toward cultivating a more just world. Balancing responsible learning with the joy of discovery, Smith Budhai and Heath build a framework for AI instruction that all educators can confidently use. A roadmap for classroom AI that confronts hidden biases inherent in systems including ChatGPT and DALL-E. It equips educators and students with practical strategies to counter harm and uplift marginalized voices, drawing on critical, culturally informed, abolitionist, and fugitive pedagogies for equitable instruction. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. Critical AI in K-12 Classrooms | A Practical Guide for Cultivating Justice and Joy | Stephanie Smith Budhai (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Harvard Education PR | EAN 9798895570180 | Verantwortliche Person für die EU: Mare Nostrum Group B.V., Doelen 72, 4831 GR BREDA, NIEDERLANDE, gpsr[at]mare-nostrum[dot]co[dot]uk | Anbieter: preigu.…

Paperback. Condición: new. Paperback. A practical guide for teachers and students navigating the complicated intersection of artificial intelligence, education, and justice Artificial intelligence is rapidly integrating into today s classrooms, but unlike other new technologies, AI has the potential to harm, making it difficult to take advantage of its benefits. In Critical AI in K-2 Classrooms, Stephanie Smith Budhai and Marie K. Heath draw attention to the biases embedded within AI algorithms, such as those powering OpenAI's ChatGPT and DALL-E, to guide students and teachers in developing strategies to best incorporate AI-or not-into equitable learning. AI's reliance on existing data and knowledge systems means Black, queer, those with disabilities, and other marginalized students are at greater risk of being harmed by built-in limitations and bias. Smith Budhai and Heath show how to circumvent if not actively resist such harms as machine learning, NLPs, LLMS, and GenAI enter the classroom, with practical examples rooted in culturally sustaining, abolitionist, and fugitive pedagogies across disciplines. Their practical guide creatively answers the concerns of educators committed to forward-thinking yet fair instruction and the needs of students eager to use AI for just ends. Critical AI in K 2 Classrooms meets the challenges of a key STEM technology with an eye toward cultivating a more just world. Balancing responsible learning with the joy of discovery, Smith Budhai and Heath build a framework for AI instruction that all educators can confidently use. A roadmap for classroom AI that confronts hidden biases inherent in systems including ChatGPT and DALL-E. It equips educators and students with practical strategies to counter harm and uplift marginalized voices, drawing on critical, culturally informed, abolitionist, and fugitive pedagogies for equitable instruction. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A practical guide for teachers and students navigating the complicated intersection of artificial intelligence, education, and justice Artificial intelligence is rapidly integrating into today&rsquo s classrooms, but unlike other new technologies, AI has the potential to harm, making it difficult to take advantage of its benefits. In Critical AI in K-2 Classrooms, Stephanie Smith Budhai and Marie K. Heath draw attention to the biases embedded within AI algorithms, such as those powering OpenAI's ChatGPT and DALL-E, to guide students and teachers in developing strategies to best incorporate AI-or not-into equitable learning. AI's reliance on existing data and knowledge systems means Black, queer, those with disabilities, and other marginalized students are at greater risk of being harmed by built-in limitations and bias. Smith Budhai and Heath show how to circumvent if not actively resist such harms as machine learning, NLPs, LLMS, and GenAI enter the classroom, with practical examples rooted in culturally sustaining, abolitionist, and fugitive pedagogies across disciplines. Their practical guide creatively answers the concerns of educators committed to forward-thinking yet fair instruction and the needs of students eager to use AI for just ends. Critical AI in K&ndash 2 Classrooms meets the challenges of a key STEM technology with an eye toward cultivating a more just world. Balancing responsible learning with the joy of discovery, Smith Budhai and Heath build a framework for AI instruction that all educators can confidently use. 216 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A practical guide for teachers and students navigating the complicated intersection of artificial intelligence, education, and justice Artificial intelligence is rapidly integrating into today&rsquo s classrooms, but unlike other new technologies, AI has the potential to harm, making it difficult to take advantage of its benefits. In Critical AI in K-2 Classrooms, Stephanie Smith Budhai and Marie K. Heath draw attention to the biases embedded within AI algorithms, such as those powering OpenAI's ChatGPT and DALL-E, to guide students and teachers in developing strategies to best incorporate AI-or not-into equitable learning. AI's reliance on existing data and knowledge systems means Black, queer, those with disabilities, and other marginalized students are at greater risk of being harmed by built-in limitations and bias. Smith Budhai and Heath show how to circumvent if not actively resist such harms as machine learning, NLPs, LLMS, and GenAI enter the classroom, with practical examples rooted in culturally sustaining, abolitionist, and fugitive pedagogies across disciplines. Their practical guide creatively answers the concerns of educators committed to forward-thinking yet fair instruction and the needs of students eager to use AI for just ends. Critical AI in K&ndash 2 Classrooms meets the challenges of a key STEM technology with an eye toward cultivating a more just world. Balancing responsible learning with the joy of discovery, Smith Budhai and Heath build a framework for AI instruction that all educators can confidently use.…