Confirmatory factor analysis of the essential digital competencies for undergraduate students in Thai higher education institutions

Suwanroj, Thamasan; Leekitchwatana, Punnee; Pimdee, Paitoon

doi:10.3926/jotse.645

Cited by 24 publications

(49 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Compared to previous quantitative studies (e.g., Alarcón et al, 2020 ; Kong et al, 2019 ; Peart et al, 2020 ; Suwanroj et al, 2019 ; Touron et al, 2018 ; etc.) the present study is the only one presenting a hybrid approach where both PLS-SEM and CB-SEM approaches are implemented for CFA of scale validation.…”

Section: Discussion Implications and Limitationsmentioning

confidence: 69%

“…Previous scales on students’ digital competence either ignore important components such as ‘Protect’ (e.g., Elstad & Christophersen, 2017 ; Koc & Barut, 2016 ; Lau & Yuen, 2014 ; Lee et al, 2015 ; Siddiq et al, 2016 ; Suwanroj et al, 2019 ), or take a completely different approach by considering components such as “parental ICT attitude” (Aesaert et al, 2015 ), “language integration” (Hatlevik et al, 2015 ), “Internet political activism” (Choi et al, 2017 ).…”

Section: Discussion Implications and Limitationsmentioning

confidence: 99%

“…Furthermore, only few scales have been validated for undergraduate university students (Elstad & Christophersen, 2017 ; Koc & Barut, 2016 ; Kuzminska et al, 2018 ; Lee et al, 2015 ; Suwanroj et al, 2019 ), and postgraduate university students (Choi et al, 2017 ).…”

Section: Discussion Implications and Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

Development and validation of students’ digital competence scale (SDiCoS)

Tzafilkou

Perifanou

Economides

2022

Int J Educ Technol High Educ

View full text Add to dashboard Cite

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.

show abstract

Section: Discussion Implications and Limitationsmentioning

confidence: 69%

Section: Discussion Implications and Limitationsmentioning

confidence: 99%

See 1 more Smart Citation

Development and validation of students’ digital competence scale (SDiCoS)

Tzafilkou

Perifanou

Economides

2022

Int J Educ Technol High Educ

View full text Add to dashboard Cite

show abstract

“…In addition, vocational education is also a means of acculturating students' self to seek and find talents, skills, and abilities as preparation for the world of work to have expertise and existence (Kusuma et al, 2021;Setyadi et al, 2021;Supriyadi et al, 2020). To achieve this goal, input, process, and output in education must also be appropriate because education affects graduates' quality (Liu et al, 2020;Suwanroj et al, 2019). The expected graduates' abilities have skills, mastering technology, having a broad and professional knowledge.…”

Section: Introductionmentioning

confidence: 99%

Chassis Maintenance and Vehicle Power Transfer Learning: The Effectiveness of STEM on Students' Critical Thinking Ability

Heru

Wagiran²,

Daryono³

2021

J. Educ. Technol.

View full text Add to dashboard Cite

The low critical thinking ability of students in the chassis maintenance and power transfer learning so that the required competencies are not achieved. This study aims to analyze critical thinking skills in chassis maintenance and power transfer learning which is taught using the Science, Technology, Engineering, and Mathematical (STEM) learning model and the conventional learning model. This research is a quasi-experimental type of research. The population in this study were students of class XI TKR 1 and XI TKR 2 as many as 69 students. Data collection techniques used documentation technique and test technique. The data analysis technique used descriptive analysis to know the category of students’ critical thinking skills and inferential analysis, including normality, homogeneity, and hypothesis by using a t-test to know the comparison of students’ critical thinking skills in learning chassis maintenance and power transfer which is taught using the Science, Technology, Engineering, And Mathematical (STEM) learning model and conventional learning models. This study shows that descriptive analysis obtained a Mean of 83.49 that was classified into a very high category and very effective category. The t-test proves the data. The tvalue value is 8045, and the ttable is df 67 = 2,000, so it can be decided that H0 is rejected. Ha is accepted because tvalue > ttable, so it can be concluded that the Science, Technology, Engineering, and Mathematical (STEM) learning model is effectively used to improve critical thinking skills compared to using conventional learning models.

show abstract

“…In academia, competencies have been utilized mainly for (1) institutional development such as for changing the traditional college degree power, policy and practice or digital transformation of systems (Ordonez, 2014;Jackson, 2019), (2) faculty development relating to, for example, faculty development in competency-based medical education (Sirianni et al, 2020) and (3) student development such as for identifying and analyzing undergraduate students' essential digital competencies (Suwanroj et al, 2019).…”

mentioning

confidence: 99%

RepGrid: a new way of identifying and assessing teaching competency

Srivastava¹,

Gupta

Jaiswal

2020

JARHE

View full text Add to dashboard Cite

PurposeThis study illustrates the use of the repertory grid in identifying and assessing effective teaching competencies.Design/methodology/approachThe data were collected from two subsamples that consist of business management students and engineering students. The systematic repertory grid (RepGrid) method was performed to identify broad effective teaching competencies.FindingsBroad effective teaching competencies found in the study include teaching approach, behavioral orientation, subject expertise, and communication skills among others.Research limitations/implicationsInterestingly, the responses of the subsamples differ in the competencies identified and the weights assigned to a particular competency. Further, the results indicate the importance of having a “context” and thereby challenge the concept of generic teaching competencies.Practical implicationsThe universities are encouraged to use RepGrid technique to assess effective teaching competencies of their faculty members.Originality/valueThe techniques for developing teaching competency models by some prior studies have several inherent flaws including the efficiency and effectiveness of data collection. The study takes forward the suggestions of scholars to use a rigorous technique, repertory grid, to overcome several of these flaws to a large extent.

show abstract

Confirmatory factor analysis of the essential digital competencies for undergraduate students in Thai higher education institutions

Cited by 24 publications

References 36 publications

Development and validation of students’ digital competence scale (SDiCoS)

Development and validation of students’ digital competence scale (SDiCoS)

Chassis Maintenance and Vehicle Power Transfer Learning: The Effectiveness of STEM on Students' Critical Thinking Ability

RepGrid: a new way of identifying and assessing teaching competency

Contact Info

Product

Resources

About