Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences

Haoran XIE; Gary CHENG; Fu Lee WANG; Xinyi HUANG; Chit Ming James CHONG

doi:10.1007/978-3-031-33023-0_37

Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences

Haoran XIE, Gary CHENG, Fu Lee WANG^*, Xinyi HUANG, Chit Ming James CHONG

^*Corresponding author for this work

Lingnan University

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

Abstract

This paper focused on students’ learning experiences in a flipped data science class integrated with peer instruction and just-in-time teaching. University students in Hong Kong participated in the research during the pandemic. Students’ perceptions of the flipped learning mode were investigated by a 5-point Likert scale questionnaire. According to the results, most students felt they enjoyed learning with the flipped mode since it allowed them to learn flexibly and independently. The course materials (i.e., instructional videos, lecture notes, and in-class exercises) were well-designed, and students perceived the materials were useful and user-friendly. As suggested by the students, more time should be given to the pre-class learning activities. Based on the suggestions, the researchers provide practical implications on improving teaching in the flipped science class. This study demonstrates how to flip a data science class and proves its value on students’ learning, providing implications for using flipped learning during the pandemic period.

Original language	English
Title of host publication	Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers
Editors	Carina S. González-González, Manuel Area-Moreira, Baltasar Fernández-Manjón, Frederick Li, Francisco José García-Peñalvo, Filippo Sciarrone, Marc Spaniol, Alicia García-Holgado, Matthias Hemmje, Tianyong Hao
Publisher	Springer, Cham
Chapter	37
Pages	395-402
Number of pages	8
ISBN (Electronic)	9783031330230
ISBN (Print)	9783031330223
DOIs	https://doi.org/10.1007/978-3-031-33023-0_37
Publication status	Published - 26 May 2023

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	13869
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

The research reported in this paper has been supported by the Teaching Development Grant (102489) from Lingnan University.

Keywords

Flipped Learning
Just-in-time teaching
Peer Instruction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-33023-0_37

https://link.springer.com/10.1007/978-3-031-33023-0_37

Cite this

XIE, H., CHENG, G., WANG, F. L., HUANG, X., & CHONG, C. M. J. (2023). Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences. In C. S. González-González, M. Area-Moreira, B. Fernández-Manjón, F. Li, F. J. García-Peñalvo, F. Sciarrone, M. Spaniol, A. García-Holgado, M. Hemmje, & T. Hao (Eds.), Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers (pp. 395-402). (Lecture Notes in Computer Science; Vol. 13869). Springer, Cham. https://doi.org/10.1007/978-3-031-33023-0_37

XIE, Haoran ; CHENG, Gary ; WANG, Fu Lee et al. / Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences. Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers. editor / Carina S. González-González ; Manuel Area-Moreira ; Baltasar Fernández-Manjón ; Frederick Li ; Francisco José García-Peñalvo ; Filippo Sciarrone ; Marc Spaniol ; Alicia García-Holgado ; Matthias Hemmje ; Tianyong Hao. Springer, Cham, 2023. pp. 395-402 (Lecture Notes in Computer Science).

@inproceedings{dd7c34281c9243b0888b5617c4664fcd,

title = "Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students{\textquoteright} Perceptions and Learning Experiences",

abstract = "This paper focused on students{\textquoteright} learning experiences in a flipped data science class integrated with peer instruction and just-in-time teaching. University students in Hong Kong participated in the research during the pandemic. Students{\textquoteright} perceptions of the flipped learning mode were investigated by a 5-point Likert scale questionnaire. According to the results, most students felt they enjoyed learning with the flipped mode since it allowed them to learn flexibly and independently. The course materials (i.e., instructional videos, lecture notes, and in-class exercises) were well-designed, and students perceived the materials were useful and user-friendly. As suggested by the students, more time should be given to the pre-class learning activities. Based on the suggestions, the researchers provide practical implications on improving teaching in the flipped science class. This study demonstrates how to flip a data science class and proves its value on students{\textquoteright} learning, providing implications for using flipped learning during the pandemic period.",

keywords = "Flipped Learning, Just-in-time teaching, Peer Instruction",

author = "Haoran XIE and Gary CHENG and WANG, {Fu Lee} and Xinyi HUANG and CHONG, {Chit Ming James}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.",

year = "2023",

month = may,

day = "26",

doi = "10.1007/978-3-031-33023-0_37",

language = "English",

isbn = "9783031330223",

series = "Lecture Notes in Computer Science",

publisher = "Springer, Cham",

pages = "395--402",

editor = "Gonz{\'a}lez-Gonz{\'a}lez, {Carina S.} and Manuel Area-Moreira and Baltasar Fern{\'a}ndez-Manj{\'o}n and Frederick Li and Garc{\'i}a-Pe{\~n}alvo, {Francisco Jos{\'e}} and Filippo Sciarrone and Marc Spaniol and Alicia Garc{\'i}a-Holgado and Matthias Hemmje and Tianyong Hao",

booktitle = "Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers",

}

XIE, H, CHENG, G, WANG, FL, HUANG, X & CHONG, CMJ 2023, Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences. in CS González-González, M Area-Moreira, B Fernández-Manjón, F Li, FJ García-Peñalvo, F Sciarrone, M Spaniol, A García-Holgado, M Hemmje & T Hao (eds), Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers. Lecture Notes in Computer Science, vol. 13869, Springer, Cham, pp. 395-402. https://doi.org/10.1007/978-3-031-33023-0_37

Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences. / XIE, Haoran; CHENG, Gary; WANG, Fu Lee et al.
Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers. ed. / Carina S. González-González; Manuel Area-Moreira; Baltasar Fernández-Manjón; Frederick Li; Francisco José García-Peñalvo; Filippo Sciarrone; Marc Spaniol; Alicia García-Holgado; Matthias Hemmje; Tianyong Hao. Springer, Cham, 2023. p. 395-402 (Lecture Notes in Computer Science; Vol. 13869).

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

TY - GEN

T1 - Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences

AU - XIE, Haoran

AU - CHENG, Gary

AU - WANG, Fu Lee

AU - HUANG, Xinyi

AU - CHONG, Chit Ming James

PY - 2023/5/26

Y1 - 2023/5/26

N2 - This paper focused on students’ learning experiences in a flipped data science class integrated with peer instruction and just-in-time teaching. University students in Hong Kong participated in the research during the pandemic. Students’ perceptions of the flipped learning mode were investigated by a 5-point Likert scale questionnaire. According to the results, most students felt they enjoyed learning with the flipped mode since it allowed them to learn flexibly and independently. The course materials (i.e., instructional videos, lecture notes, and in-class exercises) were well-designed, and students perceived the materials were useful and user-friendly. As suggested by the students, more time should be given to the pre-class learning activities. Based on the suggestions, the researchers provide practical implications on improving teaching in the flipped science class. This study demonstrates how to flip a data science class and proves its value on students’ learning, providing implications for using flipped learning during the pandemic period.

AB - This paper focused on students’ learning experiences in a flipped data science class integrated with peer instruction and just-in-time teaching. University students in Hong Kong participated in the research during the pandemic. Students’ perceptions of the flipped learning mode were investigated by a 5-point Likert scale questionnaire. According to the results, most students felt they enjoyed learning with the flipped mode since it allowed them to learn flexibly and independently. The course materials (i.e., instructional videos, lecture notes, and in-class exercises) were well-designed, and students perceived the materials were useful and user-friendly. As suggested by the students, more time should be given to the pre-class learning activities. Based on the suggestions, the researchers provide practical implications on improving teaching in the flipped science class. This study demonstrates how to flip a data science class and proves its value on students’ learning, providing implications for using flipped learning during the pandemic period.

KW - Flipped Learning

KW - Just-in-time teaching

KW - Peer Instruction

UR - http://www.scopus.com/inward/record.url?scp=85163403925&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-33023-0_37

DO - 10.1007/978-3-031-33023-0_37

M3 - Conference paper (refereed)

SN - 9783031330223

T3 - Lecture Notes in Computer Science

SP - 395

EP - 402

BT - Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers

A2 - González-González, Carina S.

A2 - Area-Moreira, Manuel

A2 - Fernández-Manjón, Baltasar

A2 - Li, Frederick

A2 - García-Peñalvo, Francisco José

A2 - Sciarrone, Filippo

A2 - Spaniol, Marc

A2 - García-Holgado, Alicia

A2 - Hemmje, Matthias

A2 - Hao, Tianyong

PB - Springer, Cham

ER -

XIE H, CHENG G, WANG FL, HUANG X, CHONG CMJ. Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences. In González-González CS, Area-Moreira M, Fernández-Manjón B, Li F, García-Peñalvo FJ, Sciarrone F, Spaniol M, García-Holgado A, Hemmje M, Hao T, editors, Learning Technologies and Systems - 21st International Conference on Web-Based Learning, ICWL 2022, and 7th International Symposium on Emerging Technologies for Education, SETE 2022, Revised Selected Papers. Springer, Cham. 2023. p. 395-402. (Lecture Notes in Computer Science). Epub 2023 May 26. doi: 10.1007/978-3-031-33023-0_37

Flipped Data Science Classrooms with Peer Instruction and Just-In-Time Teaching: Students’ Perceptions and Learning Experiences

Abstract

Publication series

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this