Research Article
Łukasz Tomczyk, Katarzyna Potyrała, Marek Kaczmarzyk, Dawid Mędrala
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep620
ABSTRACT
The aim of the study was to diagnose the level of digital hygiene among teachers in Poland. The study was also intended to reveal the factors (socio-demographic variables) that differentiate the level of attitudes and activities enabling the safe use of digital devices and the Internet. The research was conducted using the digital hygiene test and was carried out in the second half of 2023 in Poland (N = 736) in line with the need to strengthen the skills enabling the use of new technologies in a way that does not threaten digital health and safety. Based on the data collected, it was noted that (1) the surveyed teachers most often drew attention to not using the phone in a situation requiring attention, e.g., crossing a road or a track. In addition, very frequent behaviors included not accepting unknown people as friends, limited trust in links and content on the Internet, and conscious digital footprint actions; (2) the least frequent behaviors were the physical disinfection of smartphones, avoiding using phones before bedtime, and actively responding to negative content posted on the Internet; (3) individual digital hygiene activities are rarely correlated in a significant way, suggesting high internal differentiation; (4) having good ICT habits in one area does not guarantee the same in another area; (5) cluster analysis showed that 9% of teachers have a high level of digital hygiene in selected areas; (6) 44% of teachers have varying levels of digital hygiene, while 46.2% have medium or low levels of digital hygiene; (7) gender does not differentiate digital hygiene levels; and (8) workplace and school type is a factor in digital hygiene levels.
Keywords: digital hygiene, digital competence, digital wellbeing, teachers, Poland
Research Article
Ravi Sankar Pasupuleti, Deevena Charitha Jangam, Sai Manideep Appana, Venkateswarlu Nalluri, Deepthi Thiyyagura
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep621
ABSTRACT
The advent of artificial intelligence (AI) has had a profound impact on the education sector, resulting in a transformative change in higher education worldwide. One such change is the usage of AI tools by teachers to enhance their teaching practices, including content creation, sharing, and personalized learning. Those certain obstacles persist for teachers while fully exploring the potential of AI and its adoption in teaching practices. An extensive review of the literature revealed a significant research gap in developing a comprehensive study to examine the influence of AI relevance and its readiness, performance expectancy (PE), and effort expectancy (EE) in shaping behavioral intention (BI) for AI adoption in teaching. Therefore, drawing cues from the unified theory of acceptance and use of technology a research framework was developed to examine these intricate relationships. We gathered data by administering a survey to higher education teachers across various educational organizations in India. Structural equation modeling (SEM) was employed to analyze the collected data and test the hypothesized relationships. The results uncovered a positive association between teacher’s perceptions of AI’s relevance and their readiness to adopt AI, with both factors positively influencing their BI. Furthermore, this study found that EE exhibited a significant positive effect on both BI and PE. This study discusses theoretical and practical implications, underscoring the importance of raising awareness about AI’s relevance, and lays the groundwork for further exploration in this emerging area, intending to inform strategies and interventions to support successful AI adoption in educational organizations.
Keywords: artificial intelligence, AI adoption, relevance, readiness, SEM, higher education
Research Article
Ragad M. Tawafak
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep622
ABSTRACT
This study about investigates the key components of the technology acceptance model (TAM) and the expectation-confirmation theory (ECT) in affecting workforce fulfillment and acceptance of smart tools technologies integration in educating hones inside Omani institutions. As computerized change reshapes higher instruction, it is basic to understand how mental and behavioral components influence the fruitful usage of imaginative education development. By combining TAM and ECT systems, this investigation explores how seen convenience, ease of use, fulfillment, and desire affirmation shape educators’ demeanors toward the selection and maintained utilize of smart educating instruments. Information was collected through an organized survey managed by college workforce individuals and analyzed using partial least squares structural equation modelling to evaluate the connections among the undergraduate students. The findings reveal how variables such as instructing adequacy, appraisal strategies, and understudy learning results contribute to both client fulfillment and the by and user satisfaction and technology integration. This outcome gives impressions for scholastic pioneers, directions creators, and policymakers pointing to upgrade the computerized instructing involvement and advance the economical utilization of perceptive useful advances in higher instruction. The originality of this research lies in applying an integrated TAM-ECT approach to the Omani higher education context, providing fresh insights for academic leaders and policymakers.
Keywords: mobile learning, TAM, ECT, smart technologies, higher education
Review Article
Candy Haydee Guardia-Paniura, Timoteo Cueva-Luza, Favio Mauricio Cruz-Carpio, Raúl Reynaldo Ito-Díaz, David Victor Apaza-Paco, Nilda Rosas-Rojas, Benedicta Mamani-Mamani, Ángel Terrero-Pérez, Renato Yassutaka Faria Yaedú, Mariela Peralta-Mamani
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep623
ABSTRACT
This study aims to compare the feedback provided by human professors and ChatGPT on university students’ work and to report on students’ perceptions of both types of feedback. A systematic review was conducted following PRISMA 2020 guidelines. Databases research included Web of Science, Scopus, EBSCO, ACM Digital Library, and IEEE Xplore, with additional gray literature sources, until October 2024. Inclusion criteria were cross-sectional studies evaluating university students’ work, comparing feedback from ChatGPT with human professors. Data extraction was performed using a standardized form, and risk of bias was assessed with the Joanna Briggs Institute critical appraisal tool. A narrative synthesis of the results was made. PROSPERO registration number: CRD42024566691. This review included 8 studies with 461 students. ChatGPT feedback was detailed and rapid, while human feedback was valued for its personalization and emotional support. Students appreciated the detailed and immediate nature of ChatGPT feedback but noted its lack of emotional nuance and context-specific guidance. Human feedback was preferred for addressing individual learning needs and providing affective support. A combination of both types of feedback to maximize benefits. ChatGPT can assist human teachers by providing detailed and timely feedback to university students. However, human supervision is essential to ensure feedback is nuanced and contextually appropriate. A hybrid approach can optimize the learning experience in higher education. Further research is necessary to explore AI applications in educational settings and understand their impact on learning outcomes.
Keywords: higher education, ChatGPT, feedback, systematic review
Research Article
Adán López-Mendoza, Ramón Ventura Roque-Hernández, Rolando Salazar-Hernández
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep624
ABSTRACT
Technological advancements, particularly those associated with artificial intelligence (AI), have significantly transformed the educational landscape. The ChatGPT tool, developed by OpenAI and launched in 2022, has garnered considerable interest from users globally. This study aims to characterize the perceptions of IT students regarding ChatGPT, exploring variations based on gender and employment status, while also examining the relationships between these perceptions, age, completed semesters, and usage intensity. A comprehensive literature review on AI, with a focus on the ChatGPT tool, was conducted. A questionnaire was distributed to 72 undergraduate IT students to assess their perceptions of ChatGPT usage. The questionnaire encompasses three key areas: confidence, intention to use, and current utilization of the tool. Findings indicate a weak to moderate correlation between the intensity of ChatGPT usage and the statement, “I am willing to make decisions based on ChatGPT recommendations.” Additionally, a weak relationship was observed between usage intensity and the perception that “ChatGPT is trustworthy in terms of reliability and credibility,” as well as between usage intensity and the willingness to use ChatGPT in the future.
Keywords: chatbot, artificial intelligence, educators, university students
Research Article
Supot Rattanapun, Xiaoyu Wu, Alan White, Tubagus Darodjat
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep625
ABSTRACT
This study investigates the impact of self-regulated learning (SRL) and interactive learning (IL) on the development of information literacy among primary school students in Guizhou, China. Grounded in social constructivism and SRL theory, the research employed a mixed-methods design comprising instrument development, psychometric validation, and a cross-sectional survey. Data were collected from 223 full-time primary school teachers across five public schools in Kaili City, supported by open-ended responses to enrich interpretation. The findings demonstrate that SRL is the strongest predictor of students’ competencies, significantly influencing digital literacy (β = 0.53), research skills (β = 0.48), and ethical awareness (β = 0.41). IL also contributed positively, particularly to research skills (β = 0.25), though its effects on digital literacy and ethical awareness were comparatively weaker. Notably, SRL and IL together produced a synergistic effect on digital literacy, underscoring the complementary roles of individual autonomy and collaborative interaction. Ethical awareness, however, showed the weakest association with both approaches, highlighting the need for dedicated ethics instruction beyond general pedagogical strategies. These results contribute theoretically by positioning SRL as a meta-competency for information literacy development and clarifying the conditional role of IL. Practically, they provide guidance for integrating SRL training, strategically applying IL, and strengthening ethics-focused curricula to prepare students for the demands of 21st century digital learning environments.
Keywords: information literacy, self-regulated learning, digital literacy, research skills, ethical awareness, primary education
Review Article
Yuxin Zhang, Siti Hajar Binti Halili, Zamzami Zainuddin
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep626
ABSTRACT
This systematic review analyzes 21 studies that met the inclusion criteria, retrieved from academic databases including Web of Science, Scopus, SpringerLink, and ACM Digital Library, to explore the integration of generative AI (GenAI) in preschool education. A systematic review methodology was applied, with specific inclusion and exclusion criteria to ensure the relevance and quality of the selected studies. Thematic analysis was employed to synthesize the findings. The results reveal that GenAI offers significant opportunities to enhance personalized learning, improve collaboration among educators, and foster educational equity. Notably, it supports dynamic and flexible teaching practices, aids in content creation, and promotes multi-role collaboration. However, challenges such as concerns over content reliability and age appropriateness, digital competence, and the potential reduction in children’s creativity must be addressed. Ethical issues, including data privacy risks and unequal access to technology, further complicate the widespread implementation of GenAI. Future research should focus on the long-term impact of GenAI on child development, examine its implementation in low-resource settings, and develop frameworks for responsible artificial intelligence use. By overcoming these challenges, GenAI has the potential to revolutionize preschool education, offering more engaging, equitable, and personalized learning experiences.
Keywords: generative AI, preschool education, SWOT (strengths, weaknesses, opportunities, threats), systematic review