Core Research Topics of Studies on Personalized Feedback in the Past Four Decades

Xieling CHEN; Di ZOU; Gary CHENG; Haoran XIE; Fu Lee WANG; Leung Pun WONG

doi:10.1007/978-3-030-59413-8_10

Core Research Topics of Studies on Personalized Feedback in the Past Four Decades

Xieling CHEN
, Di ZOU^*
, Gary CHENG
, Haoran XIE
, Fu Lee WANG
, Leung Pun WONG

^*Corresponding author for this work

Department of Computing and Decision Sciences

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

1 Citation (Scopus)

Abstract

Assessment feedback is an essential part of learners’ learning experiences. Personalized feedback in learning is a useful and common strategy for assisting learners to optimize their learning. With the increasing need to provide learners with high quality, immediate, and personalized feedback, a large number of studies had been conducted to investigate how to provide students with personalized feedback effectively. In this study, bibliometric analysis and word cloud techniques were applied to identify research trends and status related to personalized feedback in teaching and learning, based on 276 publications retrieved from the Web of Science database. To be specific, the data were analyzed in terms of annual numbers of publications and citations, important publication sources, countries/regions, and institutions, as well as important research issues and concerns. The findings of this study provided scholars as well as instructors with a general picture of the personalized feedback research.

Original language	English
Title of host publication	Database Systems for Advanced Applications. DASFAA 2020 International Workshops
Editors	Yunmook NAH, Chulyun KIM, Seon-Young KIM, Yang-Sae MOON, Steven Euijong WHANG
Publisher	Springer, Cham
Chapter	10
Pages	121-130
Number of pages	10
ISBN (Electronic)	9783030594138
ISBN (Print)	9783030594121
DOIs	https://doi.org/10.1007/978-3-030-59413-8_10
Publication status	Published - 22 Sept 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12115 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Funding

This research received grants from the Standing Committee on Language Education and Research (EDB(LE)/P&R/EL/175/2), the Education Bureau of the Hong Kong Special Administrative Region, the Internal Research Grant (RG93/2018–2019R), and the Internal Research Fund (RG 1/2019–2020R), the Interdisciplinary Research Scheme of the Dean’s Research Fund 2018–19 (FLASS/DRF/IDS-3) and the Small Research Grant for Academic Staff 2019–20 (MIT/SGA04/19–20) of The Education University of Hong Kong.

Keywords

Bibliometric analysis
Personalized feedback
Word cloud

Access to Document

10.1007/978-3-030-59413-8_10

http://link.springer.com/10.1007/978-3-030-59413-8_10

Cite this

CHEN, X., ZOU, D., CHENG, G., XIE, H., WANG, F. L., & WONG, L. P. (2020). Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. In Y. NAH, C. KIM, S.-Y. KIM, Y.-S. MOON, & S. E. WHANG (Eds.), Database Systems for Advanced Applications. DASFAA 2020 International Workshops (pp. 121-130). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12115 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-030-59413-8_10

CHEN, Xieling ; ZOU, Di ; CHENG, Gary et al. / Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. Database Systems for Advanced Applications. DASFAA 2020 International Workshops. editor / Yunmook NAH ; Chulyun KIM ; Seon-Young KIM ; Yang-Sae MOON ; Steven Euijong WHANG. Springer, Cham, 2020. pp. 121-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Core Research Topics of Studies on Personalized Feedback in the Past Four Decades",

abstract = "Assessment feedback is an essential part of learners{\textquoteright} learning experiences. Personalized feedback in learning is a useful and common strategy for assisting learners to optimize their learning. With the increasing need to provide learners with high quality, immediate, and personalized feedback, a large number of studies had been conducted to investigate how to provide students with personalized feedback effectively. In this study, bibliometric analysis and word cloud techniques were applied to identify research trends and status related to personalized feedback in teaching and learning, based on 276 publications retrieved from the Web of Science database. To be specific, the data were analyzed in terms of annual numbers of publications and citations, important publication sources, countries/regions, and institutions, as well as important research issues and concerns. The findings of this study provided scholars as well as instructors with a general picture of the personalized feedback research.",

keywords = "Bibliometric analysis, Personalized feedback, Word cloud",

author = "Xieling CHEN and Di ZOU and Gary CHENG and Haoran XIE and WANG, \{Fu Lee\} and WONG, \{Leung Pun\}",

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month = sep,

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doi = "10.1007/978-3-030-59413-8\_10",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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CHEN, X, ZOU, D, CHENG, G, XIE, H, WANG, FL & WONG, LP 2020, Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. in Y NAH, C KIM, S-Y KIM, Y-S MOON & SE WHANG (eds), Database Systems for Advanced Applications. DASFAA 2020 International Workshops. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12115 LNCS, Springer, Cham, pp. 121-130. https://doi.org/10.1007/978-3-030-59413-8_10

Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. / CHEN, Xieling; ZOU, Di; CHENG, Gary et al.
Database Systems for Advanced Applications. DASFAA 2020 International Workshops. ed. / Yunmook NAH; Chulyun KIM; Seon-Young KIM; Yang-Sae MOON; Steven Euijong WHANG. Springer, Cham, 2020. p. 121-130 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12115 LNCS).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Core Research Topics of Studies on Personalized Feedback in the Past Four Decades

AU - CHEN, Xieling

AU - ZOU, Di

AU - CHENG, Gary

AU - XIE, Haoran

AU - WANG, Fu Lee

AU - WONG, Leung Pun

PY - 2020/9/22

Y1 - 2020/9/22

N2 - Assessment feedback is an essential part of learners’ learning experiences. Personalized feedback in learning is a useful and common strategy for assisting learners to optimize their learning. With the increasing need to provide learners with high quality, immediate, and personalized feedback, a large number of studies had been conducted to investigate how to provide students with personalized feedback effectively. In this study, bibliometric analysis and word cloud techniques were applied to identify research trends and status related to personalized feedback in teaching and learning, based on 276 publications retrieved from the Web of Science database. To be specific, the data were analyzed in terms of annual numbers of publications and citations, important publication sources, countries/regions, and institutions, as well as important research issues and concerns. The findings of this study provided scholars as well as instructors with a general picture of the personalized feedback research.

AB - Assessment feedback is an essential part of learners’ learning experiences. Personalized feedback in learning is a useful and common strategy for assisting learners to optimize their learning. With the increasing need to provide learners with high quality, immediate, and personalized feedback, a large number of studies had been conducted to investigate how to provide students with personalized feedback effectively. In this study, bibliometric analysis and word cloud techniques were applied to identify research trends and status related to personalized feedback in teaching and learning, based on 276 publications retrieved from the Web of Science database. To be specific, the data were analyzed in terms of annual numbers of publications and citations, important publication sources, countries/regions, and institutions, as well as important research issues and concerns. The findings of this study provided scholars as well as instructors with a general picture of the personalized feedback research.

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KW - Word cloud

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DO - 10.1007/978-3-030-59413-8_10

M3 - Conference paper (refereed)

SN - 9783030594121

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Database Systems for Advanced Applications. DASFAA 2020 International Workshops

A2 - NAH, Yunmook

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A2 - WHANG, Steven Euijong

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ER -

CHEN X, ZOU D, CHENG G, XIE H, WANG FL, WONG LP. Core Research Topics of Studies on Personalized Feedback in the Past Four Decades. In NAH Y, KIM C, KIM SY, MOON YS, WHANG SE, editors, Database Systems for Advanced Applications. DASFAA 2020 International Workshops. Springer, Cham. 2020. p. 121-130. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2020 Sept 22. doi: 10.1007/978-3-030-59413-8_10

Core Research Topics of Studies on Personalized Feedback in the Past Four Decades

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