Applying science learning education (62 risultati)

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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New. 2025 ed. This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context.The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education.This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work.…

Condizione: New. pp. 248.

Paperback. Condizione: New.

Condizione: New. In.

paperback. Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. pp. 248.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Paperback. Condizione: New.

Condizione: New.

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Paperback. Condizione: Brand New. 382 pages. 9.25x6.10x9.21 inches. In Stock.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context.The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education.This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work.…

Hardcover. Condizione: New. Condizione sovraccoperta: New. 1st Edition. Cambridge, Massachusetts: A Bradford Book, The MIIT Press; 1st edition (July 31, 2008). New Hardcover with DJ. 9.25"x6.4"x1.1". be41335m.

Taschenbuch. Condizione: Neu. Applying Machine Learning in Science Education Research | When, How, and Why? | Peter Wulff (u. a.) | Taschenbuch | Springer Texts in Education | xiii | Englisch | 2025 | Springer | EAN 9783031742262 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Condizione: New. 2025 ed. This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context.The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education.This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work.…

Condizione: New.

Hardcover. Condizione: new. Hardcover. This book provides an overview of the various 'Science of Learning' (SoL) research projects led by researchers at the National Institute of Education, Nanyang Technological University, Singapore, and international research collaborators. It presents the goals and rationale behind the Science of Learning in Education (SoLE) initiative and examines a spectrum of topics relevant to bolstering our understanding of the science underlying learning. The Science of Learning (SoL) is an advancing field, with proponents extolling its potential impact on educational practice. This book investigates the possible correlations or causal relationships between brain functioning and development, physiology, environment factors, and their impact on learning. It promotes an interdisciplinary approach to understanding biological to behavioural mechanisms of learning that are oriented toward optimizing and maximizing every learners potential. This book provides an overview of the various 'Science of Learning' (SoL) research projects led by researchers at the National Institute of Education, Nanyang Technological University, Singapore, and international research collaborators. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: new.

Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condizione: new.

Condizione: New.

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