Assessing L2 Digital Multimodal Composing Competence
1st Edition
Published on 27. October 2025
Book
Paperback/Softback
118 pages
978-1-032-75808-4 (ISBN)
Description
This book focuses on assessing L2 student digital multimodal composing (DMC) competence. It explores key themes, including the conceptualization of L2 student DMC competence, and the development, validation, and utilization of L2 student DMC competence in the tertiary context.
Through a thorough review of the DMC literature, the book furnishes readers with a theoretical framework to comprehensively grasp the underlying constructs of L2 student DMC competence. It also provides a delineation of the process of scale development, i.e., defining constructs, constructing items, and analyzing items, scale validation, i.e., the structural, external, and consequential construct validity of the scale, and scale utilization in students' DMC self- and peer-assessment practices.
This practical guidance equips educators and practitioners with the necessary tools and strategies to effectively assess and enhance L2 students' DMC competence. Scholars and professionals in the fields of L2 writing, language assessment, digital literacy, and technology-enhanced language learning will gain valuable insights from the content.
Through a thorough review of the DMC literature, the book furnishes readers with a theoretical framework to comprehensively grasp the underlying constructs of L2 student DMC competence. It also provides a delineation of the process of scale development, i.e., defining constructs, constructing items, and analyzing items, scale validation, i.e., the structural, external, and consequential construct validity of the scale, and scale utilization in students' DMC self- and peer-assessment practices.
This practical guidance equips educators and practitioners with the necessary tools and strategies to effectively assess and enhance L2 students' DMC competence. Scholars and professionals in the fields of L2 writing, language assessment, digital literacy, and technology-enhanced language learning will gain valuable insights from the content.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
42 s/w Abbildungen, 27 s/w Photographien bzw. Rasterbilder, 15 s/w Zeichnungen, 12 s/w Tabellen
12 Tables, black and white; 15 Line drawings, black and white; 27 Halftones, black and white; 42 Illustrations, black and white
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 8 mm
Weight
179 gr
ISBN-13
978-1-032-75808-4 (9781032758084)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Emily Di Zhang | Shulin Yu
Assessing L2 Digital Multimodal Composing Competence
E-Book
06/2024
1st Edition
Routledge
€31.49
Available for download
Emily Di Zhang | Shulin Yu
Assessing L2 Digital Multimodal Composing Competence
E-Book
06/2024
1st Edition
Routledge
€31.49
Available for download
Emily Di Zhang | Shulin Yu
Assessing L2 Digital Multimodal Composing Competence
Book
06/2024
1st Edition
Routledge
€71.20
Shipment within 10-20 days
Persons
Emily Di Zhang received her Ph.D. degree from the Faculty of Education, University of Macau. She is Postdoctoral Fellow in the School of Foreign Languages, Shanghai Jiao Tong University, Shanghai, China. Her research interests include technology- mediated language learning, teaching, and assessment. She has publications in journals like Computer Assisted Language Learning, Journal of Second Language Writing, System, Language Teaching Research, Assessing Writing, Applied Linguistics Review, Language Assessment Quarterly, and Innovation in Language Learning and Teaching. She is a reviewer for journals such as Journal of Second Language Writing, Assessing Writing, Applied Linguistics Review, and The Asia- Pacific Education Researcher.
Shulin Yu is Associate Professor at the Faculty of Education, University of Macau. His research interests include L2 writing, and classroom feedback and assessment in higher education. His publications have appeared in Educational Research Review, Assessing Writing, Journal of Second Language Writing, Language Teaching Research, Language Teaching, and TESOL Quarterly. He is listed among the top 2% of scientists in a global ranking released by Stanford University. The ranking identifies the top 2% among seven million scientists by citations, H-index and HM-index for 2020-2023 and over one's career. He is Associate Editor of Journal of Second Language Writing, Assessing Writing, and The Asia-Pacific Education Researcher, and Guest Editor of Special Issues for The Asia- Pacific Education Researcher, and Assessing Writing.
Shulin Yu is Associate Professor at the Faculty of Education, University of Macau. His research interests include L2 writing, and classroom feedback and assessment in higher education. His publications have appeared in Educational Research Review, Assessing Writing, Journal of Second Language Writing, Language Teaching Research, Language Teaching, and TESOL Quarterly. He is listed among the top 2% of scientists in a global ranking released by Stanford University. The ranking identifies the top 2% among seven million scientists by citations, H-index and HM-index for 2020-2023 and over one's career. He is Associate Editor of Journal of Second Language Writing, Assessing Writing, and The Asia-Pacific Education Researcher, and Guest Editor of Special Issues for The Asia- Pacific Education Researcher, and Assessing Writing.
Content
1. Assessing Digital Multimodal Composing Competence 2. Conceptualizing and Modelling L2 Student DMC Competence 3. Scale Development for Assessing L2 Student Digital Multimodal Composing Competence 4. Scale Validation for Assessing the L2 Student Digital Multimodal Composing Competence 5. Scale Utilization for Assessing the L2 Student Digital Multimodal Composing Competence 6. Conclusion