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Lithuanian case study on evaluating suitability, acceptance and use of IT tools by students – an example of applying technology enhanced learning research methods in higher education

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Data
2020
Autorius
Kurilov, Jevgenij
Kubilinskienė, Svetlana
Metaduomenys
Rodyti detalų aprašą
Santrauka
The aim of the paper is to present application of the methodology (i.e. model and method) to evaluate suitability, acceptance and use of information technology (IT) tools for particular students as well as a case study of evaluating two IT tools widely used while studying human-computer interaction (HCI) design at Lithuanian Universities. These IT tools are “Axure” and “Balsamiq Mockups”. High-quality IT tools should be optimised to particular students according to their personal needs, e.g. learning styles. In the paper, optimised IT tools should have the highest probabilistic suitability indexes for particular students according to Felder-Silverman learning styles model. Personalised IT tools’ evaluation methodology presented in the paper is based on (1) well-known principles of Multiple Criteria Decision Analysis for identifying quality evaluation criteria; (2) Educational Technology Acceptance & Satisfaction Model (ETAS-M) based on well-known Unified Theory on Acceptance and Use of Technology (UTAUT) model, and (3) probabilistic suitability indexes to identify technology’s suitability to particular students’ needs according to their learning styles. In the paper, there is also a case study of implementing the methodology in Lithuania. This methodology is applicable in real life situations where teachers have to help students to apply IT tools that are most suitable, acceptable and useable for their needs and thus to improve students’ motivation, which in its turn creates the conditions for better and more efficient education. The case study aims at analysing the results of evaluating HCI tools using this novel methodology. The methodology is one of the examples of application of Technology Enhanced Learning Research in Higher Education.
Paskelbimo data (metai)
2020
URI
https://etalpykla.vilniustech.lt/handle/123456789/149484
Kolekcijos
  • Straipsniai Web of Science ir/ar Scopus referuojamuose leidiniuose / Articles in Web of Science and/or Scopus indexed sources [7946]

 

 

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