Comparing the effects of robots and IoT objects on STEM learning outcomes and computational thinking skills between programming-experienced learners and programming-novice learners

Chih Chien Hu, Hsiao Ting Tseng, Ming Hsien Chen, Goh Phaik Imm Alexis, Nian Shing Chen

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

2 Scopus citations

Abstract

Recent college students have been observed to be motivated and engaged in acquiring science, technology, engineering, and mathematics (STEM) knowledge and skills with robots and IoT objects. A sample of 13 master's students participated in the program. Data collected include the pre-and post-STEM and computational thinking (CT) written tests, and the pre-and post-surveys of learning perceptions toward the robots and IoT objects learning activities. The results show that the learning activities were an effective approach for the master's students' STEM learning outcome and CT as shown in the post-test. The differences between the master's students' STEM learning outcome, CT, and perceptions were also confirmed, particularly between the groups of computer programming-experienced learners and computer programming-novice learners. The results revealed that the learning activities with robots and IoT objects could improve the overall master's students' CT, STEM knowledge, and learning perceptions. Both programming-experienced and programming-novice learners' STEM learning outcome were improved.

Original languageEnglish
Title of host publicationProceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020
EditorsMaiga Chang, Demetrios G Sampson, Ronghuai Huang, Danial Hooshyar, Nian-Shing Chen, Kinshuk Kinshuk, Margus Pedaste
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages87-89
Number of pages3
ISBN (Electronic)9781728160900
DOIs
StatePublished - Jul 2020
Event20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020 - Virtual, Online, Estonia
Duration: 6 Jul 20209 Jul 2020

Publication series

NameProceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020

Conference

Conference20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020
Country/TerritoryEstonia
CityVirtual, Online
Period6/07/209/07/20

Keywords

  • Computational thinking
  • IoT
  • Learning perception
  • Robot-assisted learning
  • STEM learning

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