SwiftQuiz - An interactive module to help teachers swiftly create questions and get rich feedback

Xiang Xie*, Yiming Li, Zeqiang Ning, Erick Purwanto*, Na Li, Kok Hoe Wong

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Student Response System (SRS) has been used to support teachers in engaging students live in the classroom. Prominent learning management systems such as Moodle have implemented such SRS. However, the current tools are too limited to effectively support the blended learning model, especially in retaining students' attention. Through comprehensive data analysis, we identified existing issues in the current SRS, primarily related to the feedback mechanism for students' answers, limited question types, nonintuitive feedback reports, and a lack of flexibility in impromptu question creation. In order to address these challenges, we have developed SwiftQuiz, which offers instructors the ability to create instantaneous questions, thereby improving teaching efficiency and eliminating unnecessary complexities. Furthermore, SwiftQuiz enables the creation of short-answer questions with two visual response options: Word Cloud and bar graph. Moreover, for multiple-choice question and other question types, SwiftQuiz provides a detailed data visualization of student answers, empowering educators with valuable insights into live classroom management and student engagement. By incorporating SwiftQuiz into blended classes, educators can significantly enhance classroom flexibility and engage students more interactively in the learning process. The comprehensive and user-friendly features of SwiftQuiz make it a valuable tool for supporting modern teaching methodologies within the digital learning environment.

Original languageEnglish
Title of host publication2023 3rd International Conference on Educational Technology, ICET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-80
Number of pages5
ISBN (Electronic)9798350302332
DOIs
Publication statusPublished - 2023
Event3rd International Conference on Educational Technology, ICET 2023 - Xi'an, China
Duration: 15 Sept 202317 Sept 2023

Publication series

Name2023 3rd International Conference on Educational Technology, ICET 2023

Conference

Conference3rd International Conference on Educational Technology, ICET 2023
Country/TerritoryChina
CityXi'an
Period15/09/2317/09/23

Keywords

  • blended learning
  • data visualization
  • formative feedback student response system
  • learning management systems
  • Moodle

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