Condizione: As New. Unread book in perfect condition.
Condizione: New.
EUR 27,37
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. xxii, 131 stran, ilustrace.
Lingua: Francese
Editore: Fortin, Paris, 1942
Da: Librairie RAIMOND, Dourges, Francia
EUR 10,00
Quantità: 1 disponibili
Aggiungi al carrelloCouverture souple. Condizione: Assez bon. Paul de FRICK-HAMONIC (illustratore). 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.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 28,34
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 285.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 33,49
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. xxii, 131 stran, ilustrace.
Condizione: New. xxii, 131 stran, ilustrace First published.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 30,31
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 27,09
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 28,33
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 35,22
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 154 pages. 8.50x5.43x8.50 inches. In Stock.
Lingua: Francese
Editore: Georges ONDET, 1912
Da: BURISBOOKS, LA ROCHE BERNARD, Francia
Prima edizione
EUR 20,00
Quantità: 1 disponibili
Aggiungi al carrelloCouverture souple. Condizione: Bon. Paul DE FRICK (illustratore). 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.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,76
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
EUR 73,49
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 70,09
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 65,80
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,44
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 74,15
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 81,88
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 95,16
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 131 pages. 8.75x5.50x0.50 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 34,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 56,77
Quantità: 5 disponibili
Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 44,24
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032077352 ISBN 13: 9781032077352
Da: CitiRetail, Stevenage, Regno Unito
EUR 35,41
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 78,74
Quantità: Più di 20 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.