國立高雄大學圖資館 |

Language: English

Back

The art of modelling the learning pr...

Leppink, Jimmie.

The art of modelling the learning processuniting educational research and practice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The art of modelling the learning processby Jimmie Leppink.
Reminder of title:	uniting educational research and practice /
Author:	Leppink, Jimmie.
Published:	Cham :Springer International Publishing :2020.
Description:	xxvii, 264 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Educational statistics.
Online resource:	https://doi.org/10.1007/978-3-030-43082-5
ISBN:	9783030430825$q(electronic bk.)

The art of modelling the learning processuniting 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$q(electronic bk.)

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

218600
Educational statistics.

LC Class. No.: LB2846 / .L477 2020

Dewey Class. No.: 370.727

The art of modelling the learning processuniting educational research and practice /
LDR:03718nmm a2200337 a 4500 001 571894
003 DE-He213
005 20200731162410.0
006 m d
007 cr nn 008maaau
008 200922s2020 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 833107
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 218600
650 0 $a Education $x Mathematical models. $3 858701
650 1 4 $a Educational Psychology. $3 348569
650 2 4 $a Learning & Instruction. $3 274699
650 2 4 $a Research Methods in Education. $3 772096
650 2 4 $a Applied Statistics. $3 805583
650 2 4 $a Medical Education. $3 275169
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer texts in education. $3 744671
856 4 0 $u https://doi.org/10.1007/978-3-030-43082-5
950 $a Education (Springer-41171)