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
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
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.
KW - Bibliometric analysis
KW - Personalized feedback
KW - Word cloud
UR - http://www.scopus.com/inward/record.url?scp=85092168273&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-59413-8_10
DO - 10.1007/978-3-030-59413-8_10
M3 - Conference contribution
AN - SCOPUS:85092168273
SN - 9783030594121
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 121
EP - 130
BT - Database Systems for Advanced Applications. DASFAA 2020 International Workshops - BDMS, SeCoP, BDQM, GDMA, and AIDE, Proceedings
A2 - Nah, Yunmook
A2 - Kim, Chulyun
A2 - Kim, Seon Ho
A2 - Moon, Yang-Sae
A2 - Whang, Steven Euijong
T2 - 7th International Workshop on Big Data Management and Service, BDMS 2020, 6th International Symposium on Semantic Computing and Personalization, SeCoP 2020, 5th Big Data Quality Management, BDQM 2020, 4th International Workshop on Graph Data Management and Analysis, GDMA 2020, 1st International Workshop on Artificial Intelligence for Data Engineering, AIDE 2020, held in conjunction with the 25th International Conference on Database Systems for Advanced Applications, DASFAA 2020
Y2 - 24 September 2020 through 27 September 2020
ER -