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Condition: As New. Unread book in perfect condition.
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Condition: New. xxii, 131 stran, ilustrace.
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CHANSONS DES CLOCHERS-A-JOUR SUIVIES DE CHANSONS EN MARGE
Language: French
Published by Fortin, Paris, 1942
Couverture souple. Condition: Assez bon. Paul de FRICK-HAMONIC (illustrator). Théodore BOTREL CHANSONS DES CLOCHERS-A-JOUR SUIVIES DE CHANSONS EN MARGE 1942, Paris, Edition Fortin Format : In-12 (13 x 19,5 cm), broché, 191 pages illustré de gravures d'après les dessins de Paul de FRICK, photographies des clochers et sites par HAMONIC Etat : couverture écorchée et dos avec adhésif, papier jauni, brochage encore solide poids : 350g.
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Condition: New. xxii, 131 stran, ilustrace First published.
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Condition: New. xxii, 131 stran, ilustrace.
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Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Innovative Learning Analytics for Evaluating Instruction
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 25.67
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Innovative Learning Analytics for Evaluating Instruction : A Big Data Roadmap to Effective Online Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Innovative Learning Analytics for Evaluating Instruction : A Big Data Roadmap to Effective Online Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 154 pages. 8.50x5.43x8.50 inches. In Stock.
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CHANSONS DES CLOCHERS-A-JOUR suivies de Chansons en marge
Language: French
Published by Georges ONDET, 1912
First Edition
Couverture souple. Condition: Bon. Paul DE FRICK (illustrator). 1ère Édition. B. 1ère édition 1912. 10e mille. Suite des "Chansons de Chez Nous" et des "Chansons en Sabots". Couverture - Aquarelle, Lavis et illustrations de Paul DE FRICK. Clochers et sites photographiés par HAMONIC. Exemplaire en bon état, couvert de papier glacé. Envoi rapide et soigné.
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Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New.
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Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning
Language: English
Published by Taylor & Francis Ltd, 2021
ISBN 10: 103200018X ISBN 13: 9781032000183
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Innovative Learning Analytics for Evaluating Instruction : A Big Data Roadmap to Effective Online Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Innovative Learning Analytics for Evaluating Instruction
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 62.80
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Innovative Learning Analytics for Evaluating Instruction : A Big Data Roadmap to Effective Online Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Brand New. 131 pages. 8.75x5.50x0.50 inches. In Stock.
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Innovative Learning Analytics for Evaluating Instruction (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Paperback. Condition: new. Paperback. Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. Innovative Learning Analytics for Evaluating Instruction covers the application of a research methodology that uses big data to evaluate the effectiveness of online instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 29.46
£ 15.75 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning
Language: English
Published by Taylor & Francis Ltd, 2021
ISBN 10: 103200018X ISBN 13: 9781032000183
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
-
Innovative Learning Analytics for Evaluating Instruction (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Paperback. Condition: new. Paperback. Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. Innovative Learning Analytics for Evaluating Instruction covers the application of a research methodology that uses big data to evaluate the effectiveness of online instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Innovative Learning Analytics for Evaluating Instruction (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Paperback. Condition: new. Paperback. Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. Innovative Learning Analytics for Evaluating Instruction covers the application of a research methodology that uses big data to evaluate the effectiveness of online instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Innovative Learning Analytics for Evaluating Instruction
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 64.78
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
