Journal of Applied Technical and Educational Sciences
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175 research outputs found
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Impact of Educational Escape Games on Students’ Semantic Lexicon in Environmental Science: A Word Association and AI-Based Analysis
Full text linkGamification, including escape games, has proven to be an effective tool for changing environmental behaviour. However, little research has been done on the impact of this game type on students\u27 conceptual networks, particularly in relation to environmental science and chemistry. Therefore, this study examines the semantic lexicon of primary and secondary school students using word association tests with selected call words from these subjects. Students were asked to provide answers immediately before the game and exactly one week later. The pre- and post-tests were analysed using the rather robust but complicated Garskof-Houston formula and the results were compared to the analysis of a smaller generative AI running on a laptop to find a more user-friendly way to evaluate this type of survey. The Garskof-Houston formula showed that the relations of the words "mixture", "precipitation" and "rain" changed the most, but the smaller, and therefore presumably weaker, LLM found the most changes for the relations of the words "compound", "precipitation" and "rolling". Since the meaning of a concept can be defined as a list of words with which it is associated, these results suggest that learners\u27 concepts have changed, which is quite important from the perspective of constructivist learning theory. However, further research is needed on the use of LLMs for this type of evaluation
Processing sensor data from the NAO robot
Full text linkThe paper presents the processing of sensor data from the NAO humanoid robot, with a focus on the use of Python and the NAOqi API to capture and analyze visual data. The robot is equipped with advanced sensors, such as accelerometers, gyroscopes, touch sensors, and a camera, which enable complex interactions in the human environment. The solution allows for live video streaming to be captured and displayed using OpenCV, while the user can intuitively control the process. In addition, the paper discusses the diverse application areas of the NAO robot, such as education, research, entertainment, and healthcare, all of which offer innovative solutions to meet different usage needs. The interactive capabilities of the NAO robot allow students to easily learn the basics of programming and artificial intelligence, while researchers can use it to develop new algorithms in the field of machine learning and AI. The paper emphasizes the importance of technological integration, which makes robotics play an increasingly important role in everyday life. The study opens new perspectives in the field of data processing and application possibilities of robots, contributing to the development of future autonomous systems
A mesterséges intelligencia és flow-tanulás kérdőív (MIFTK) kifejlesztése és validálása
No full textAs artificial intelligence (AI) becomes more embedded in education, comprehending its influence on students\u27 psychological involvement is crucial. Flow theory, created by Csíkszentmihályi, provides a framework for examining optimal learning experiences characterized by intense concentration and intrinsic motivation. This study introduces the AI and Flow Learning Questionnaire (AIFLQ), an enhanced and psychometrically validated iteration of Dominek\u27s original tool. A 24-item, 5-point Likert-scale questionnaire was administered to university students (N=44) in AI-assisted classes. Exploratory factor analysis identified three dependable dimensions: Immersion, Balance, and AI Integration (Cronbach\u27s alpha: 0.805, 0.738, 0.825). Statistical findings revealed significant gender disparities in flow, with female participants achieving higher scores, and a marked impact of educational attainment on immersion. Despite AI being associated with increased variance and diminished scores, the instrument exhibits significant potential for assessing student engagement in digital contexts. The AIFLQ functions as a comprehensive metric for forthcoming investigations on flow experiences within AI-augmented learning environments
Cybersecurity Awareness and Ransomware-Related Practices among University Students
Full text linkThe education sector is now one of the most targeted domains of cyberattacks, with ransomware being the most prevalent threat. The present study focuses on university students\u27 security behaviours related to ransomware, especially email and phishing vulnerability, user access and credential practices, system and software hygiene, data protection habit, and threat perception. The sample was taken in a Hungarian university with a sample size of 85 respondents. The measuring instrument was an online questionnaire consisting of 11 questions answered on a 3-point Likert scale. The results present a mixed picture: respondents appear more security-aware in relation to e-mail phishing risks and system and software security hygiene, while showing lower levels of security in user access, credential practices, data backup, and threat perception. The analysis is descriptive and exploratory, relying on item-level proportions. The study provides exploratory insights into student cybersecurity awareness, grounded in data from a single higher education institution, and highlights directions for future, broader investigations. Targeted awareness campaigns with the mentioned focus points are required to support a more comprehensive defence against ransomware
Enhancing Digital Competence Among Pre-Service Teachers: The Role of Personalized Learning Plans in Teacher Education
Full text linkThe increasing digitalisation of education necessitates a focus on developing digital competencies among pre-service teachers, a topic selected due to its relevance to 21st-century educational demands. The theoretical grounding of the paper was established through a comprehensive literature review covering digital literacy, Pedagogical Digital Competencies (PDC), and personalised learning. This study aims to explore the role of personalised learning plans in enhancing digital competencies, presenting a novel approach to curriculum design that integrates individualized development programs. A quantitative research method was employed using a structured questionnaire to assess pre-service teachers’ self-perceived digital competence and attitudes toward its importance in teaching. The findings reveal a significant gap between current digital skills and expected standards, as well as key barriers to technology integration. The study concludes that personalised learning plans can effectively support digital competency development. The research offers both theoretical contributions to the discourse on digital pedagogy and practical implications for teacher education programs
An examination of the correlation and compromises of Ofsted, The National Curriculum, and Physical Education in British Schools
Full text linkPhysical Education (PE) is a core national requirement in the English National Curriculum (NC) that is timetabled for all children up to the age of 16. It requires students to acquire a mix of physical, social, and cognitive competence through sports. This study reports on levels of inclusiveness within the PE curriculum in a sample of 30 British secondary schools that had recently undergone an Office for Standards in Education (OFSTED) inspection. This was done through close document analysis of the PE curriculum maps of these schools, which are available in the public domain. Using a grounded theory approach, inductive thematic analysis was applied to identify themes such as sporting activities, teaching methods and pedagogy, opportunities within the curriculum, and skills and knowledge taught. The primary findings show that the information available through the school websites was disseminated mainly through the sports that the NC highlighted, implying that the schools’ best approach to spreading PE knowledge is through organised sports. as well as secondary curriculum designs, knowledge, and assessments, that are more concerned with NC aims and objectives rather than considering inclusive practice and alternative sporting activities for their students
Bridging the AI Gap: How Organizational Literacy and Individual Competencies Drive Implementation Success Across Industries
Full text linkThis study examines artificial intelligence adoption patterns and competency requirements across economic sectors in the Czech Republic. The research investigates sectoral differences in AI implementation, required competencies, and organizational impacts. Data were collected via computer-assisted web interviewing and analyzed using descriptive statistics, correlation analysis, and chi-square testing. Results reveal intensive AI usage (78%). Significant sectoral variations emerged: primary sectors focus on general AI tools, secondary sectors emphasize manufacturing-specific applications including quality control and predictive maintenance, while tertiary sector organizations employ the broadest range of AI solutions encompassing specialized finance, healthcare, and legal applications. All sectors invest heavily in employee training and reskilling, though tertiary sector organizations experience the most significant structural transformations including workforce redeployment and role redesign. Statistical analysis confirms significant sectoral differences in AI adoption patterns and validates that higher organizational AI literacy correlates with superior implementation outcomes. These findings contribute to understanding sector-specific AI adoption strategies and inform competency development frameworks for successful organizational AI integration
Digital well-being as an educational challenge: a mapping review study
Full text linkDigital well-being in educational contexts is becoming increasingly important in educational policies, teaching processes and research. However, due to the dynamic nature of the topic, a deeper conceptualisation of the whole phenomenon is lacking. This review study analyses 15 Web of Science studies related to this area and identifies the key themes and components of the phenomenon in relation to educational practice. Explicitly: the inappropriateness of using simple metrics such as screen time, the importance of the way digital wellbeing is talked about, the emphasis on the relationship between family and school, the limited possibilities of applications, the need to regulate selected services, and the importance of participatory methods in teaching and developing digital wellbeing, which appears to be changeable through education. The study offers insights into practical educational practice
Understanding the Hidden Crisis: A Multi-Dimensional Analysis of Student Dropout Factors in Higher Education
Full text linkStudent dropout affects 40-80% of higher education students globally, yet limited research examines institutional practices in private business education. Building on Tinto\u27s and Bean\u27s theoretical frameworks, this study analyses multidimensional dropout factors through content analysis of 287 student responses from a private business university (2017-2025). Using validated coding methodology (κ = 0.87), nine categories emerged: financial issues (75 occurrences), communication problems (65), academic misalignment (55), assessment issues (45), administrative burden (40), format inflexibility (35), cultural concerns (30), technical problems (25), and personal circumstances (150). Key institutional barriers included high costs (28), poor information quality (18), curriculum mismatch (20), and electronic testing criticism (18). While personal circumstances dominated, substantial institutional factors represent addressable barriers. The research contributes theoretically by empirically validating dropout categorizations and practically by providing a transformation framework successfully implemented by the case institution through student-centred reforms
A practical based determination of preheating temperature of high strength steels welding
Full text linkThis study introduces a straightforward method for calculating preheating temperature in steel welding, combining hardness testing with graphical representations of cooling time. The approach begins with hardness tests on welded joints, providing essential insights into material behavior under different cooling conditions. Graphical diagrams are then created to illustrate the relationship between hardness values and cooling times. These diagrams facilitate the selection of optimal cooling times for desired hardness levels. By integrating these diagrams with an existing C++ program, preheating temperature can be easily determined based on the chosen cooling time. This streamlined approach enhances the accuracy of preheating temperature calculations, ultimately improving weld quality and structural integrity