Combining Flipped Learning and Formative Assessment to Enhance the Learning Performance of Students in Programming

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Information technology is booming, students are no longer just acquiring knowledge through books, and their learning approaches are no longer limited to traditional lectures or classrooms. In recent years, flipped learning has become a novel instructional strategy, which allows meaningful learning by watching videos or reading materials before class in a student-oriented way. However, teachers cannot confirm whether students can learn new knowledge and concepts through flipped learning. Therefore, this study aims flipped learning combined with formative assessment to explore whether students can effectively improve their learning performance in programming. This study designed and recorded videos and developed an online formative assessment system to provide test items related to APP Inventor programming. These results show that compared with the control group, the experimental group can significantly improve their learning performance and learning progress in programming by combining flipped learning and the online formative assessment system. In addition, the teacher can examine each student’s problems in the learning process through the proposed system by this study, and give them help and guidance in programming.

Original languageEnglish
Title of host publicationInnovative Technologies and Learning - 4th International Conference, ICITL 2021, Proceedings
EditorsYueh-Min Huang, Chin-Feng Lai, Tânia Rocha
PublisherSpringer Science and Business Media Deutschland GmbH
Pages498-507
Number of pages10
ISBN (Print)9783030915391
DOIs
Publication statusPublished - 2021
Event4th International Conference on Innovative Technologies and Learning, ICITL 2021 - Virtual, Online
Duration: 2021 Nov 292021 Dec 1

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13117 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Innovative Technologies and Learning, ICITL 2021
CityVirtual, Online
Period21-11-2921-12-01

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Combining Flipped Learning and Formative Assessment to Enhance the Learning Performance of Students in Programming'. Together they form a unique fingerprint.

Cite this