A model for mobile-based assessment adoption based on self-determination theory of motivation

Stavros A. Nikou, Anastasios A. Economides

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

11 Citations (Scopus)

Abstract

In order to successfully deliver Mobile-Based Assessments in any educational setting, it is of great importance to investigate the factors that influence its adoption from the students. The present study aims to explain and predict the Technology Acceptance Model constructs Attitudes towards Using (ATU) and Intention to Use (ITU) mobile-based assessment from the perspective of the Self-Determination Theory of Motivation. 72 medical students answered a survey questionnaire about the use of a mobile-based assessment conducted after the lecture and patient examination procedure. Partial Least Squares (PLS) was used for data analysis. Results show that the main motivational factors of self-determination theory, namely Autonomy, Relatedness and Competency, explain students' attitudes about mobile-based assessment and also predict students' adoption. Our research findings suggest that in order to enhance students' learning motivation, the design and implementation of mobile-based assessments should satisfy the three basic psychological needs for competency, autonomy and relatedness.
Original languageEnglish
Title of host publication2014 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages86-90
Number of pages5
ISBN (Electronic)9781479947423
DOIs
Publication statusPublished - 19 Jan 2015
EventInternational Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014) - Thessaloniki, Greece
Duration: 13 Nov 201414 Nov 2014

Conference

ConferenceInternational Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014)
Abbreviated titleIMCL2014
Country/TerritoryGreece
CityThessaloniki
Period13/11/1414/11/14

Keywords

  • medical education
  • mobile learning
  • mobile-based assessment
  • motivation
  • self-determination theory
  • technology acceptance model
  • algorithms
  • education
  • education computing
  • engineering education
  • least squares approximations
  • surveys
  • Mobile telecommunication systems
  • design and implementations
  • learning motivation
  • students
  • Educational settings

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