The effects of perceived mobility and satisfaction on the adoption of mobile-based assessment

Stavros A. Nikou, Anastasios A. Economides

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

Mobile-based Assessment is increasingly used in different educational settings. Its successful implementation though depends on user acceptance. While previous research provides evidence on acceptance of mobile learning and computer-based assessment, there are not many studies focusing explicitly on the acceptance of Mobile-based Assessment. This study examines the impact of Perceived Mobility, Satisfaction, Perceived Usefulness and Perceived Ease of Use on students' Behavioral Intention to Use Mobile-based Assessment. 47 secondary school students, using their mobile devices and Quick Response (QR) - coding technology, participated in an outdoor Mobile-based Assessment procedure during their visit in a Botanic Garden. Partial Least Squares (PLS) was used for the data analysis of the recorded students' perceptions about the Mobile-based Assessment. Results show that Perceived Mobility, Satisfaction, Perceived Usefulness and Perceived Ease of Use are all significant determinants of Behavioral Intention to Use mobile-based assessment. Several important implications for designing and implementing mobile-based assessment procedures are discussed.
Original languageEnglish
Pages167-171
Number of pages5
DOIs
Publication statusPublished - 2015
EventInternational Conference on Interactive Mobile Communication Technologies and Learning (IMCL) - Thessaloniki, Greece
Duration: 19 Nov 201520 Nov 2015

Conference

ConferenceInternational Conference on Interactive Mobile Communication Technologies and Learning (IMCL)
Abbreviated titleIMCL2015
CountryGreece
CityThessaloniki
Period19/11/1520/11/15

Keywords

  • mobile learning
  • mobile-based assessment
  • motivation
  • outdoor education
  • Perceived mobility
  • QR codes
  • technology acceptance model
  • e-learning
  • education
  • education computing
  • engineering education
  • least squares approximations
  • mobile devices
  • students
  • mobile telecommunication systems

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