Skip to main content

Enhancing Mathematics Learning Outcomes through a Flipped Classroom Grouping Mechanism Informed by Self-study Habits: Utilizing iPad Screen Time Data

  • Conference paper
  • First Online:
Innovative Technologies and Learning (ICITL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14099))

Included in the following conference series:

  • 1103 Accesses

Abstract

Considering the limitations of traditional flipped classroom grouping methods, such as random grouping and homogeneous grouping based on grades, this study utilized the “Screen Time” feature on iPads to collect learners’ self-study habits and developed a mathematics flipped learning grouping mechanism founded on self-study habits as the basis for homogeneous grouping. Employing a quasi-experimental design and implementation, the research examined the efficacy of the math flipped learning grouping mechanism in enhancing learners’ math performance in flipped math learning. The results align with the conclusions of numerous prior studies, demonstrating that using self-study habits as the foundation for grouping enables group members to possess similar cognitive levels, which subsequently improves the quality of classroom discussions and ultimately leads to advancements in performance. These findings offer valuable insights for group formation in flipped learning contexts.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lo, C.K., Hew, K.F.: Design principles for fully online flipped learning in health professions education: a systematic review of research during the COVID-19 pandemic. BMC Med. Educ. 22, 720 (2022)

    Article  Google Scholar 

  2. Doo, M.Y., Bonk, C.J.: The effects of self-efficacy, self-regulation and social presence on learning engagement in a large university class using flipped learning. J. Comput. Assist. Learn. 36, 997–1010 (2020)

    Article  Google Scholar 

  3. Lin, Y.-N., Hsia, L.-H., Hwang, G.-J.: Promoting pre-class guidance and in-class reflection: a SQIRC-based mobile flipped learning approach to promoting students’ billiards skills, strategies, motivation and self-efficacy. Comput. Educ. 160, 104035 (2021)

    Article  Google Scholar 

  4. Overmyer, G.R.: The flipped classroom model for college algebra: effects on student achievement. Colorado State University (2014)

    Google Scholar 

  5. Chen, S.C., Yang, S.J., Hsiao, C.C.: Exploring student perceptions, learning outcome and gender differences in a flipped mathematics course. Br. J. Edu. Technol. 47, 1096–1112 (2016)

    Article  Google Scholar 

  6. Bailey, J.L., Skvoretz, J.: The social-psychological aspects of team formation: new avenues for research. Sociol. Compass 11, e12487 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yueh-Min Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

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

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lee, HY., Huang, CN., Tsai, CY., Huang, SY., Huang, YM. (2023). Enhancing Mathematics Learning Outcomes through a Flipped Classroom Grouping Mechanism Informed by Self-study Habits: Utilizing iPad Screen Time Data. In: Huang, YM., Rocha, T. (eds) Innovative Technologies and Learning. ICITL 2023. Lecture Notes in Computer Science, vol 14099. Springer, Cham. https://doi.org/10.1007/978-3-031-40113-8_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-40113-8_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40112-1

  • Online ISBN: 978-3-031-40113-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics