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 到查詢結果 [ subject:"Rasch models." ]

切換: 標籤 | MARC模式 | ISBD

Advances in applications of Rasch me...

Liu, Xiufeng.

FindBook

Google Book

Amazon

博客來

Advances in applications of Rasch measurement in science education

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in applications of Rasch measurement in science education/ edited by Xiufeng Liu, William J. Boone.
其他作者:	Liu, Xiufeng.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	ix, 529 p. :ill., digital ;24 cm.
內容註:	Forward -- Preface -- Chapter 1 Introduction to Rasch measurement in science education: Principles and best practices -- Chapter 2 Rasch models: Recent Developments -- Chapter 3 Open source packages for conducting Rasch analyses -- Chapter 4 Using Rasch measurement to study learning progression in science education -- Chapter 5 Using Rasch measurement to develop formative assessment in science education -- Chapter 6 Using Rasch measurement for cognitive diagnostic testing in science education -- Chapter 7 Using Rasch measurement for computer adaptive testing in science education -- Chapter 8 Using Rasch measurement for setting performance standards in science education -- Chapter 9 Using Rasch measurement to assess complex science learning outcomes in science education -- Chapter 10 Using Rasch measurement to research three-dimensional science learning in science education -- Chapter 11 Using Rasch measurement to investigate student reasoning -- Chapter 12 Using Rasch measurement to develop observation protocols in science education -- Chapter 13 Using Rasch measurement to investigate science teachers' pedagogical content knowledge in science education.
Contained By:	Springer Nature eBook
標題:	Science - Study and teaching -
電子資源:	https://doi.org/10.1007/978-3-031-28776-3
ISBN:	9783031287763

Advances in applications of Rasch measurement in science education
Advances in applications of Rasch measurement in science education[electronic resource] /edited by Xiufeng Liu, William J. Boone. - Cham :Springer International Publishing :2023. - ix, 529 p. :ill., digital ;24 cm. - Contemporary trends and issues in science education,v. 571878-0784 ;. - Contemporary trends and issues in science education ;v. 57..

Forward -- Preface -- Chapter 1 Introduction to Rasch measurement in science education: Principles and best practices -- Chapter 2 Rasch models: Recent Developments -- Chapter 3 Open source packages for conducting Rasch analyses -- Chapter 4 Using Rasch measurement to study learning progression in science education -- Chapter 5 Using Rasch measurement to develop formative assessment in science education -- Chapter 6 Using Rasch measurement for cognitive diagnostic testing in science education -- Chapter 7 Using Rasch measurement for computer adaptive testing in science education -- Chapter 8 Using Rasch measurement for setting performance standards in science education -- Chapter 9 Using Rasch measurement to assess complex science learning outcomes in science education -- Chapter 10 Using Rasch measurement to research three-dimensional science learning in science education -- Chapter 11 Using Rasch measurement to investigate student reasoning -- Chapter 12 Using Rasch measurement to develop observation protocols in science education -- Chapter 13 Using Rasch measurement to investigate science teachers' pedagogical content knowledge in science education.

This edited volume presents latest development in applications of Rasch measurement in science education. It includes a conceptual introduction chapter and a set of individual chapters. The introductory chapter reviews published studies applying Rasch measurement in the field of science education and identify important principles of Rasch measurement and best practices in applications of Rasch measurement in science education. The individual chapters, contributed by authors from Canada, China, Germany, Philippines and the USA, cover a variety of current topics on measurement concerning science conceptual understanding, scientific argumentation, scientific reasoning, three-dimensional learning, knowledge-in-use and cross-cutting concepts of the Next Generation Science Standards, medical education learning experiences, machine-scoring bias, formative assessment, and teacher knowledge of argument. There are additional chapters on advances in Rasch analysis techniques and technology including R, Bayesian estimation, comparison between joint maximum likelihood (JML) and marginal maximum likelihood (MML) estimations on model-data-fit, and enhancement to Rasch models by Cognitive Diagnostic Models and Latent Class Analysis. The volume provides readers who are new and experienced in applying Rasch measurement with advanced and exemplary applications in the forefront of various areas of science education research.

ISBN: 9783031287763

Standard No.: 10.1007/978-3-031-28776-3doiSubjects--Topical Terms:

3663292
Science
--Study and teaching

LC Class. No.: Q181

Dewey Class. No.: 507.1

Advances in applications of Rasch measurement in science education
LDR:03722nmm a2200361 a 4500 001 2332952
003 DE-He213
005 20230731133025.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031287763 $q (electronic bk.)
020 $a 9783031287756 $q (paper)
024 7 $a 10.1007/978-3-031-28776-3 $2 doi
035 $a 978-3-031-28776-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q181
072 7 $a JNU $2 bicssc
072 7 $a PD $2 bicssc
072 7 $a SCI063000 $2 bisacsh
072 7 $a JNU $2 thema
072 7 $a PD $2 thema
082 0 4 $a 507.1 $2 23
090 $a Q181 $b .A244 2023
245 0 0 $a Advances in applications of Rasch measurement in science education $h [electronic resource] / $c edited by Xiufeng Liu, William J. Boone.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a ix, 529 p. : $b ill., digital ; $c 24 cm.
490 1 $a Contemporary trends and issues in science education, $x 1878-0784 ; $v v. 57
505 0 $a Forward -- Preface -- Chapter 1 Introduction to Rasch measurement in science education: Principles and best practices -- Chapter 2 Rasch models: Recent Developments -- Chapter 3 Open source packages for conducting Rasch analyses -- Chapter 4 Using Rasch measurement to study learning progression in science education -- Chapter 5 Using Rasch measurement to develop formative assessment in science education -- Chapter 6 Using Rasch measurement for cognitive diagnostic testing in science education -- Chapter 7 Using Rasch measurement for computer adaptive testing in science education -- Chapter 8 Using Rasch measurement for setting performance standards in science education -- Chapter 9 Using Rasch measurement to assess complex science learning outcomes in science education -- Chapter 10 Using Rasch measurement to research three-dimensional science learning in science education -- Chapter 11 Using Rasch measurement to investigate student reasoning -- Chapter 12 Using Rasch measurement to develop observation protocols in science education -- Chapter 13 Using Rasch measurement to investigate science teachers' pedagogical content knowledge in science education.
520 $a This edited volume presents latest development in applications of Rasch measurement in science education. It includes a conceptual introduction chapter and a set of individual chapters. The introductory chapter reviews published studies applying Rasch measurement in the field of science education and identify important principles of Rasch measurement and best practices in applications of Rasch measurement in science education. The individual chapters, contributed by authors from Canada, China, Germany, Philippines and the USA, cover a variety of current topics on measurement concerning science conceptual understanding, scientific argumentation, scientific reasoning, three-dimensional learning, knowledge-in-use and cross-cutting concepts of the Next Generation Science Standards, medical education learning experiences, machine-scoring bias, formative assessment, and teacher knowledge of argument. There are additional chapters on advances in Rasch analysis techniques and technology including R, Bayesian estimation, comparison between joint maximum likelihood (JML) and marginal maximum likelihood (MML) estimations on model-data-fit, and enhancement to Rasch models by Cognitive Diagnostic Models and Latent Class Analysis. The volume provides readers who are new and experienced in applying Rasch measurement with advanced and exemplary applications in the forefront of various areas of science education research.
650 0 $a Science $x Study and teaching $x Statistical methods. $3 3663292
650 0 $a Rasch models. $3 926156
650 1 4 $a Science Education. $3 895256
650 2 4 $a Assessment and Testing. $3 3595333
650 2 4 $a Educational Psychology. $3 1005868
700 1 $a Liu, Xiufeng. $3 1005859
700 1 $a Boone, William J. $3 2057799
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Contemporary trends and issues in science education ; $v v. 57. $3 3663291
856 4 0 $u https://doi.org/10.1007/978-3-031-28776-3
950 $a Education (SpringerNature-41171)