Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XI, 144 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. IEA Research for Education. Sprache: Englisch.
Language: English
Published by Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10: 3030508919 ISBN 13: 9783030508913
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
First Edition
1st ed. 2021. XXV, 421 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Progress in IS. Sprache: Englisch.
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Condition: New.
Language: English
Published by Cham, Springer International Publishing., 2021
ISBN 10: 303072784X ISBN 13: 9783030727840
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
First Edition
1st ed. 2021. 16 x 24 cm. XXI, 121 S. XXI, 121 p. 19 illus., 17 illus. in color. Hrdcover (Progress in IS). Sprache: Englisch.
Seller: Chiron Media, Wallingford, United Kingdom
PF. Condition: New.
Condition: New. pp. XI, 144 50 illus., 1 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659345679 ISBN 13: 9783659345678
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 172.
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030261859 ISBN 13: 9783030261856
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open accessbook presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA's Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries.While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics.Exploiting the richness of IEA's TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement.The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.
Language: English
Published by Springer International Publishing, 2019
ISBN 10: 3030261824 ISBN 13: 9783030261825
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open accessbook presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA's Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries.While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics.Exploiting the richness of IEA's TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement.The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.
Language: English
Published by Springer International Publishing, Springer International Publishing Sep 2020, 2020
ISBN 10: 3030261859 ISBN 13: 9783030261856
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA¿s Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries.While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics.Exploiting the richness of IEA¿s TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement. The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch.
Language: English
Published by Springer International Publishing, Springer International Publishing Sep 2019, 2019
ISBN 10: 3030261824 ISBN 13: 9783030261825
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. Neuware -This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA¿s Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries.While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics.Exploiting the richness of IEA¿s TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement. The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659345679 ISBN 13: 9783659345678
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Wireless Sensor Networks | Distributed Event Detection and Localization | Michalis Michaelides | Taschenbuch | 172 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659345678 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Feb 2013, 2013
ISBN 10: 3659345679 ISBN 13: 9783659345678
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -This book focuses on distributed event detection and localization in Wireless Sensor Networks (WSNs). Sensor nodes are usually small, simple and cheap devices, each equipped with a processor, radio transceiver and sensing probe, and powered by a battery. A WSN consists of a large number of such nodes that form an ad-hoc network in order to deliver the sensed data to the user. One of the common applications envisioned for WSNs is that of monitoring a large region for the presence of an event source that releases a certain signal or substance in the environment. The main objective of this dissertation is to detect and localize the event from the spatially distributed information provided by the sensor nodes in a simple, localized and fault tolerant manner. For the problem of distributed detection, this dissertation proposes novel detection algorithms that exploit the spatial correlation between the measurements of sensor nodes in close proximity in order to improve the overall coverage of the sensor network. For the problem of distributed localization, this dissertation proposes algorithms that feature accuracy and robustness with respect to faults in the sensor network.Books on Demand GmbH, Überseering 33, 22297 Hamburg 172 pp. Englisch.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 124.30
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 132.99
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 134.30
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Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659345679 ISBN 13: 9783659345678
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 141.13
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Seller: California Books, Miami, FL, U.S.A.
Condition: New.
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Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.