東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

The art of modelling the learning pr...

Leppink, Jimmie.

FindBook

Google Book

Amazon

博客來

The art of modelling the learning process = uniting educational research and practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The art of modelling the learning process/ by Jimmie Leppink.
其他題名:	uniting educational research and practice /
作者:	Leppink, Jimmie.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xxvii, 264 p. :ill., digital ;24 cm.
內容註:	Part I - Common Questions -- Chapter 1: Learning Processes -- Chapter 2: Study Designs -- Chapter 3: Statistical Learning -- Chapter 4: Anchoring Narratives -- Part II - Variable Types -- Chapter 5 - Pass/Fail and Other Dichotomies -- Chapter 6 - Multicategory Nominal Choices -- Chapter 7 - Ordered Performance Categories -- Chapter 8 - Quantifiable Learning Outcomes -- Part III - Variable Networks -- Chapter 9 - Instrument Structures -- Chapter 10 - Cross-Instrument Communication -- Chapter 11 - Temporal Structures -- Chapter 12 - Longitudinal Assessment Networks -- Part IV - Time Series -- Chapter 13 - Randomised Controlled Experiments -- Chapter 14 - Static and Dynamic Group Structures -- Chapter 15 - Progress Testing in Large Cohorts -- Chapter 16 - Small Samples and Case Studies -- Part V - Conclusion -- Chapter 17: General Recommendations.
Contained By:	Springer eBooks
標題:	Educational statistics. -
電子資源:	https://doi.org/10.1007/978-3-030-43082-5
ISBN:	9783030430825

The art of modelling the learning process = uniting educational research and practice /
Leppink, Jimmie.

The art of modelling the learning processuniting educational research and practice /[electronic resource] :by Jimmie Leppink. - Cham :Springer International Publishing :2020. - xxvii, 264 p. :ill., digital ;24 cm. - Springer texts in education,2366-7672. - Springer texts in education..

Part I - Common Questions -- Chapter 1: Learning Processes -- Chapter 2: Study Designs -- Chapter 3: Statistical Learning -- Chapter 4: Anchoring Narratives -- Part II - Variable Types -- Chapter 5 - Pass/Fail and Other Dichotomies -- Chapter 6 - Multicategory Nominal Choices -- Chapter 7 - Ordered Performance Categories -- Chapter 8 - Quantifiable Learning Outcomes -- Part III - Variable Networks -- Chapter 9 - Instrument Structures -- Chapter 10 - Cross-Instrument Communication -- Chapter 11 - Temporal Structures -- Chapter 12 - Longitudinal Assessment Networks -- Part IV - Time Series -- Chapter 13 - Randomised Controlled Experiments -- Chapter 14 - Static and Dynamic Group Structures -- Chapter 15 - Progress Testing in Large Cohorts -- Chapter 16 - Small Samples and Case Studies -- Part V - Conclusion -- Chapter 17: General Recommendations.

By uniting key concepts and methods from education, psychology, statistics, econometrics, medicine, language, and forensic science, this textbook provides an interdisciplinary methodological approach to study human learning processes longitudinally. This longitudinal approach can help to acquire a better understanding of learning processes, can inform both future learning and the revision of educational content and formats, and may help to foster self-regulated learning skills. The initial section of this textbook focuses on different types of research questions as well as practice-driven questions that may refer to groups or to individual learners. This is followed by a discussion of different types of outcome variables in educational research and practice, such as pass/fail and other dichotomies, multi-category nominal choices, ordered performance categories, and different types of quantifiable (i.e., interval or ratio level of measurement) variables. For each of these types of outcome variables, single-measurement and repeated-measurements scenarios are offered with clear examples. The book then introduces cross-sectional and longitudinal interdependence of learning-related variables through emerging network-analytic methods and in the final part the learned concepts are applied to different types of studies involving time series. The book concludes with some general guidelines to give direction to future (united) educational research and practice. This textbook is a must-have for all applied researchers, teachers and practitioners interested in (the teaching of) human learning, instructional design, assessment, life-long learning or applications of concepts and methods commonly encountered in fields such as econometrics, psychology, and sociology to educational research and practice.

ISBN: 9783030430825

Standard No.: 10.1007/978-3-030-43082-5doiSubjects--Topical Terms:

520601
Educational statistics.

LC Class. No.: LB2846 / .L477 2020

Dewey Class. No.: 370.727

The art of modelling the learning process = uniting educational research and practice /
LDR:03718nmm a2200337 a 4500 001 2217738
003 DE-He213
005 20200731162410.0
006 m d
007 cr nn 008maaau
008 201120s2020 sz s 0 eng d
020 $a 9783030430825 $q (electronic bk.)
020 $a 9783030430818 $q (paper)
024 7 $a 10.1007/978-3-030-43082-5 $2 doi
035 $a 978-3-030-43082-5
040 $a GP $c GP
041 0 $a eng
050 4 $a LB2846 $b .L477 2020
072 7 $a JNC $2 bicssc
072 7 $a EDU009000 $2 bisacsh
072 7 $a JNC $2 thema
082 0 4 $a 370.727 $2 23
090 $a LB2846 $b .L598 2020
100 1 $a Leppink, Jimmie. $3 3381501
245 1 4 $a The art of modelling the learning process $h [electronic resource] : $b uniting educational research and practice / $c by Jimmie Leppink.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxvii, 264 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer texts in education, $x 2366-7672
505 0 $a Part I - Common Questions -- Chapter 1: Learning Processes -- Chapter 2: Study Designs -- Chapter 3: Statistical Learning -- Chapter 4: Anchoring Narratives -- Part II - Variable Types -- Chapter 5 - Pass/Fail and Other Dichotomies -- Chapter 6 - Multicategory Nominal Choices -- Chapter 7 - Ordered Performance Categories -- Chapter 8 - Quantifiable Learning Outcomes -- Part III - Variable Networks -- Chapter 9 - Instrument Structures -- Chapter 10 - Cross-Instrument Communication -- Chapter 11 - Temporal Structures -- Chapter 12 - Longitudinal Assessment Networks -- Part IV - Time Series -- Chapter 13 - Randomised Controlled Experiments -- Chapter 14 - Static and Dynamic Group Structures -- Chapter 15 - Progress Testing in Large Cohorts -- Chapter 16 - Small Samples and Case Studies -- Part V - Conclusion -- Chapter 17: General Recommendations.
520 $a By uniting key concepts and methods from education, psychology, statistics, econometrics, medicine, language, and forensic science, this textbook provides an interdisciplinary methodological approach to study human learning processes longitudinally. This longitudinal approach can help to acquire a better understanding of learning processes, can inform both future learning and the revision of educational content and formats, and may help to foster self-regulated learning skills. The initial section of this textbook focuses on different types of research questions as well as practice-driven questions that may refer to groups or to individual learners. This is followed by a discussion of different types of outcome variables in educational research and practice, such as pass/fail and other dichotomies, multi-category nominal choices, ordered performance categories, and different types of quantifiable (i.e., interval or ratio level of measurement) variables. For each of these types of outcome variables, single-measurement and repeated-measurements scenarios are offered with clear examples. The book then introduces cross-sectional and longitudinal interdependence of learning-related variables through emerging network-analytic methods and in the final part the learned concepts are applied to different types of studies involving time series. The book concludes with some general guidelines to give direction to future (united) educational research and practice. This textbook is a must-have for all applied researchers, teachers and practitioners interested in (the teaching of) human learning, instructional design, assessment, life-long learning or applications of concepts and methods commonly encountered in fields such as econometrics, psychology, and sociology to educational research and practice.
650 0 $a Educational statistics. $3 520601
650 0 $a Education $x Mathematical models. $3 897058
650 1 4 $a Educational Psychology. $3 1005868
650 2 4 $a Learning & Instruction. $3 893930
650 2 4 $a Research Methods in Education. $3 3219447
650 2 4 $a Applied Statistics. $3 3300946
650 2 4 $a Medical Education. $3 898572
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer texts in education. $3 2191438
856 4 0 $u https://doi.org/10.1007/978-3-030-43082-5
950 $a Education (Springer-41171)