Anastasios A. Economides

Prof. Dr. Anastasios A. Economides

University of Macedonia, Thessaloníki, Kentrikí Makedonía, Greece
orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2017 in Computers & Education
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Journal Article
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SNStavros A. Nikou
Stavros A. Nikou
Anastasios A. EconomidesAnastasios A. Economides
Anastasios A. Economides

1 May 2011 in Computers & Education
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Journal Article
Closed access
VTVasileios Terzis
Vasileios Terzis
Anastasios A. EconomidesAnastasios A. Economides
Anastasios A. Economides

13 February 2018 in Journal of Computer Assisted Learning
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Journal Article
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SNStavros A. Nikou
Stavros A. Nikou
Anastasios A. EconomidesAnastasios A. Economides
Anastasios A. Economides

16 May 2022 in International Journal of Educational Technology in Higher Education
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Journal Article
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Katerina TzafilkouKaterina Tzafilkou
Katerina Tzafilkou
Maria PerifanouMaria Perifanou
Maria Perifanou
Anastasios A. EconomidesAnastasios A. Economides
Anastasios A. Economides
Towards the transition to blended and remote education, evaluating the levels of students’ digital competence and designing educational programs to advance them is of paramount importance. Existing validated digital competence scales usually ignore either important digital skills needed or new socio-technological innovations. This study proposes and validates a comprehensive digital competence scale for students in higher education. The suggested instrument includes skills of online learning and collaboration, social media, smart and mobile devices, safety, and data protection. The scale was evaluated on a sample of 156 undergraduate and postgraduate students just before and at the beginning of the COVID-19 crisis. The final scale is composed of 28 items and six digital competence components. The evaluation study revealed valid results in terms of model fit criteria, factor loadings, internal validity, and reliability. Individual factors like the students’ field of study, computer experience and age revealed significant associations to the scale components, while gender revealed no significant differences. The suggested scale can be useful to the design of new actions and policies towards remote education and the digital skills’ development of adult learners.

1 November 2011 in Computers in Human Behavior
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Journal Article
Closed access
VTVasileios Terzis
Vasileios Terzis
Anastasios A. EconomidesAnastasios A. Economides
Anastasios A. Economides