Datalogging in Singapore schools: supporting effective implementations

Kim Chwee Daniel Tan, John G. Hedberg, Thiam Seng Koh, Whye Choo Seah

    Research output: Contribution to journalArticlepeer-review

    9 Citations (Scopus)

    Abstract

    This paper reports the findings of a national survey on the use of dataloggers in secondary schools (grades 7–10) and junior colleges (grades 11–12). In particular, it explores the types of learning activities that teachers conduct using dataloggers, the support structures they deem necessary and the difficulties they face. Of the 593 respondents, 394 (67%) had used dataloggers in the last two years, mainly in demonstrations and set experiments. The three most important support structures included: supportive laboratory technicians, training on the use of dataloggers, and instructional material on how to use dataloggers within the curriculum. The difficulties which deterred the respondents from using dataloggers included the logistics and time taken to set up datalogging equipment and activities, insufficient numbers of computer workstations, and the mishandling of equipment by students, leading to equipment malfunctions. To expand the use of dataloggers in school, the respondents suggest that dedicated laboratories be set up for datalogging activities, more curricular material to support datalogging be prepared, more familiarisation courses be run for teachers and laboratory technicians and, in particular, how dataloggers fit within an inquiry science learning approach.
    Original languageEnglish
    Pages (from-to)111-127
    Number of pages17
    JournalResearch in Science and Technological Education
    Volume24
    Issue number1
    DOIs
    Publication statusPublished - 2006

    Keywords

    • science education
    • college students

    Fingerprint Dive into the research topics of 'Datalogging in Singapore schools: supporting effective implementations'. Together they form a unique fingerprint.

    Cite this