AUTOMATED ASSESSMENT SYSTEMS IN CLOUD ENVIRONMENTS FOR THE FORMATION OF FUTURE PROFESSIONALS' DIGITAL COMPETENCE
The relevance of the study stems from the imperative to enhance the digital competencies of futureprofessionals through the implementation of contemporary assessment technologies. The purpose of thisresearch was to examine the impact of automated assessment systems within a cloud-based environment onthe development of students’ digital skills.The investigation used an experimental method, incorporating online assessments utilizing the adaptedDigComp 2.1 framework, alongside questionnaires and content analysis. The control group engaged studiedusing traditional methods, while the experimental group utilized a cloud-based system based in GoogleWorkspace: Google Classroom for course management, Google Forms with automatic assignmentchecking, and Google Sheets for analysing results. The results showed that digital competence in theexperimental group increased by 9.0 points (from 60.2 to 69.2), in the control group — by 3.2 points (from59.2 to 62.4). The largest increase in the experimental group was recorded in digital communication,content creation, and safety in the digital environment, with each area reflecting an impressive increase of 9points. According to the survey, 87% of students felt confident in working with cloud services, 83%realized their strengths and weaknesses, and 81% rated quick feedback as a motivating factor.It is concluded that cloud-based automated assessment effectively promotes the development of digitalskills: self-control, communication, analytical thinking, and confidence. The scientific novelty lies in thecomprehensive analysis of the automated assessment’s impact on various components of digitalcompetence.Prospects for further research include the integration of adaptive systems and the study of the long-termeffects of digital platforms on learning outcomes.
Institutions
- Kharkiv National Automobile and Highway University (UA)
- Alfred Nobel University (UA)
- Kyiv National University of Technologies and Design (UA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-31
- DOI
- https://doi.org/10.5281/zenodo.17035411
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00