35 review for
Artificial Intelligence in Education: Promises and Implications for Teaching and Learning
4 out of 5
Bryan Alexander–
Artificial Intelligence in Education is the first major book on the topic. It's vital for anyone interested in technology and education.
The book's first half is a deep dive into how curricula can change under the impact of AI. Partly this explores which classes and practices students need in order to grapple with a post-AI world, but the discussion also revisits fundamental curricular questions, such as how learners apply content from one class to another, and which overarching frameworks can an Artificial Intelligence in Education is the first major book on the topic. It's vital for anyone interested in technology and education.
The book's first half is a deep dive into how curricula can change under the impact of AI. Partly this explores which classes and practices students need in order to grapple with a post-AI world, but the discussion also revisits fundamental curricular questions, such as how learners apply content from one class to another, and which overarching frameworks can animate an entire course of learning.
The second half switches gears to explore direct applications of AI to learning. Holmes, Bialik, and Fadel develop a very useful taxonomy, breaking things down into intelligent tutoring systems, dialog-based tutoring systems, exploratory learning systems, and automatic writing evaluation software, along with an "other" category, each supplied with real-world examples. They add to this a cogent reflection on AI in education's implications.
Two appendices add more detailed background on curriculum and AI, respectively.
Taken together, this should help just about anyone in education and technology thinking about automation's impact.
5 out of 5
Eduardo–
Thought-provoking book about AI and its applications in education, without falling for the easy path of applying AI in standardized testing.
The book contains 2 parts, the first one describes the need for reinventing education for the 21st century, the second part describes how AI can be applied to improve education. This is not a technical book, it only lists AI applications but does not provide a technical guide into the development of AI tools. A good book for educators wanting to learn more Thought-provoking book about AI and its applications in education, without falling for the easy path of applying AI in standardized testing.
The book contains 2 parts, the first one describes the need for reinventing education for the 21st century, the second part describes how AI can be applied to improve education. This is not a technical book, it only lists AI applications but does not provide a technical guide into the development of AI tools. A good book for educators wanting to learn more about tech, or for tech developers wanting to learn more about education.
Bryan Alexander –
Artificial Intelligence in Education is the first major book on the topic. It's vital for anyone interested in technology and education. The book's first half is a deep dive into how curricula can change under the impact of AI. Partly this explores which classes and practices students need in order to grapple with a post-AI world, but the discussion also revisits fundamental curricular questions, such as how learners apply content from one class to another, and which overarching frameworks can an Artificial Intelligence in Education is the first major book on the topic. It's vital for anyone interested in technology and education. The book's first half is a deep dive into how curricula can change under the impact of AI. Partly this explores which classes and practices students need in order to grapple with a post-AI world, but the discussion also revisits fundamental curricular questions, such as how learners apply content from one class to another, and which overarching frameworks can animate an entire course of learning. The second half switches gears to explore direct applications of AI to learning. Holmes, Bialik, and Fadel develop a very useful taxonomy, breaking things down into intelligent tutoring systems, dialog-based tutoring systems, exploratory learning systems, and automatic writing evaluation software, along with an "other" category, each supplied with real-world examples. They add to this a cogent reflection on AI in education's implications. Two appendices add more detailed background on curriculum and AI, respectively. Taken together, this should help just about anyone in education and technology thinking about automation's impact.
Eduardo –
Thought-provoking book about AI and its applications in education, without falling for the easy path of applying AI in standardized testing. The book contains 2 parts, the first one describes the need for reinventing education for the 21st century, the second part describes how AI can be applied to improve education. This is not a technical book, it only lists AI applications but does not provide a technical guide into the development of AI tools. A good book for educators wanting to learn more Thought-provoking book about AI and its applications in education, without falling for the easy path of applying AI in standardized testing. The book contains 2 parts, the first one describes the need for reinventing education for the 21st century, the second part describes how AI can be applied to improve education. This is not a technical book, it only lists AI applications but does not provide a technical guide into the development of AI tools. A good book for educators wanting to learn more about tech, or for tech developers wanting to learn more about education.
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