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This paper explores the relationship between lecturers' digital competence and the learning value of students in higher education. By conducting an empirical study with a sample of 626 lecturers, we validated the positive impact of the six dimensions of digital competence outlined in the DigCompEdu framework, including: (i) Professional engagement, (ii) Digital resources, (iii) Teaching and learning, (iv) Assessment, (v) Empowering learners, and (vi) Facilitating learners' digital competence on the student learning value. Our findings underscore the profound significance of these dimensions in shaping students' learning experiences and outcomes, particularly within the dynamic context of Industry 4.0. Based on these findings, we propose recommendations to enhance lecturers' digital competence, targeting not only the lecturers themselves but also university administrations and governmental agencies responsible for educational oversight.

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Background: A major workforce inadequacy and the change in skill demanded have been observed due to the digital transformation. This study aims to identify the digital skills demanded by employers, focusing on exploring the skills gaps among the graduates that impact graduate employability. Methods: A cross sectional online survey was conducted among the companies registered with the Malaysian Productivity Corporation (MPC). Demand for digital skills was assessed using descriptive analysis of mean scores of the employers' rating in digital skills at present and in future. A pair sample t-test was performed to explore the existence of skill gaps, by comparing the demand versus competencies of the graduates' digital skills in the workplace. Results: Of the 393 responses collected, 376 responses were used for final analysis. The findings show that the current top three digital skills in demand are "information and data literacy", "problem-solving", and "digital content creation". Whereas the top digital skills for future demand are "problem-solving", "safety", and "communication and collaboration". In addition, the most significant (digital) skill gap is found in "communication and collaboration skills" followed by "problem-solving" and "safety" skills. Conclusions: These findings provide insights into the digital skills demanded by employers in IR 4.0, allowing the practitioners, education service providers and policymakers to do better planning on human capital management and training development. By focusing on identifying the current and future demand for digital skills while exploring the digital skill gaps among the graduates, this study provides insight into the employability skills required by the graduate before entering the job market.

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BACKGROUND: Remote education emerged as an option during the COVID-19 pandemic; however, this modality continues to be used by various universities around the world in the postpandemic context. The aim of this study was to determine the mediating role of digital skills and mobile self-efficacy in the influence of stress on the academic engagement of Peruvian university students during remote teaching by COVID-19 using structural equation modeling (SEM). METHOD: This study involved 1,468 students from nine public and private universities in northern Peru who had undergraduate and graduate distance learning programs. RESULTS: The results showed that stress negatively influenced academic engagement (ß=-0.107*) and digital skills (ß=-0.328***). In addition, digital skills (ß = 0.470**) and mobile self-efficacy (ß = 0.684***) positively influence academic engagement. Similarly, digital skills mediate the relationship between stress and academic engagement (ß=-0.154**), and both variables act as sequential mediators in this relationship (ß=-0.348***). CONCLUSION: This study provides a deeper understanding of the factors that influence academic engagement during Remote education and lays the groundwork for the development of interventions and training programs tailored to hybrid learning contexts that promote the well-being and academic success of college students in postpandemic times.

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INTRODUCTION: Quality and inclusive education must include Information and Communication Technologies (ICT), which is a growing trend in educational environments since the COVID-19 pandemic. These technologies have transformed learning towards more collaborative and interactive models, but they also pose a barrier due to the lack of skills or knowledge about their use. This circumstance has been identified among some first-year nursing students. OBJECTIVE: The present study focuses on exploring the perception of students who participated in the experience of peer mentoring to improve adaptation to the use of Information and Communication Technologies. DESIGN AND METHODS: The study employed a descriptive qualitative approach, relying on in-depth interviews and a focus group conducted with 29 students who participated in the project between 2020 and 2023. Additionally, sociodemographic data and information about Information and Communication Technologies were collected through a self-administered questionnaire. RESULTS: The findings indicate that mentors exhibited higher competencies than those being mentored, yet the experience was positive and satisfying for both, emerging as an effective strategy to facilitate learning. Another noteworthy result is the performance of younger students in the role of mentors, a fact that contradicts similar experiences. CONCLUSION: In conclusion, peer mentoring emerges as a valid strategy for acquiring digital competencies and Information and Communication Technologies among first-year nursing students, fostering more inclusive learning environments.

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Background: Text-generating artificial intelligence (AI) such as ChatGPT offers many opportunities and challenges in medical education. Acquiring practical skills necessary for using AI in a clinical context is crucial, especially for medical education. Objective: This explorative study aimed to investigate the feasibility of integrating ChatGPT into teaching units and to evaluate the course and the importance of AI-related competencies for medical students. Since a possible application of ChatGPT in the medical field could be the generation of information for patients, we further investigated how such information is perceived by students in terms of persuasiveness and quality. Methods: ChatGPT was integrated into 3 different teaching units of a blended learning course for medical students. Using a mixed methods approach, quantitative and qualitative data were collected. As baseline data, we assessed students' characteristics, including their openness to digital innovation. The students evaluated the integration of ChatGPT into the course and shared their thoughts regarding the future of text-generating AI in medical education. The course was evaluated based on the Kirkpatrick Model, with satisfaction, learning progress, and applicable knowledge considered as key assessment levels. In ChatGPT-integrating teaching units, students evaluated videos featuring information for patients regarding their persuasiveness on treatment expectations in a self-experience experiment and critically reviewed information for patients written using ChatGPT 3.5 based on different prompts. Results: A total of 52 medical students participated in the study. The comprehensive evaluation of the course revealed elevated levels of satisfaction, learning progress, and applicability specifically in relation to the ChatGPT-integrating teaching units. Furthermore, all evaluation levels demonstrated an association with each other. Higher openness to digital innovation was associated with higher satisfaction and, to a lesser extent, with higher applicability. AI-related competencies in other courses of the medical curriculum were perceived as highly important by medical students. Qualitative analysis highlighted potential use cases of ChatGPT in teaching and learning. In ChatGPT-integrating teaching units, students rated information for patients generated using a basic ChatGPT prompt as "moderate" in terms of comprehensibility, patient safety, and the correct application of communication rules taught during the course. The students' ratings were considerably improved using an extended prompt. The same text, however, showed the smallest increase in treatment expectations when compared with information provided by humans (patient, clinician, and expert) via videos. Conclusions: This study offers valuable insights into integrating the development of AI competencies into a blended learning course. Integration of ChatGPT enhanced learning experiences for medical students.

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This study investigates gender gaps in digital skills among youth (15-24 years old) in 32 low- and middle-income economies using data from UNICEF-supported and internationally comparable Multiple Indicator Cluster Surveys (MICS). Utilizing a household fixed effects approach, we aim to isolate gender-based disparities from household-level variations. The intra-household analysis reveals significant inequalities, with biases against young women in possessing digital skills, including the very basic ones. Supplementary analysis using a mixed-effects model, which accounts separately for within- and between-household variation, highlights that wealthier households exhibit larger gender gaps in digital skills, disadvantaging young women primarily due to a floor effect in the poorest households. The paper concludes with policy implications aimed at reducing gender gaps in digital skills.

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BACKGROUND: it is widely accepted that living in the digital transformation era, the need to develop and update new professional skills and tools in health sectors is crucially important. Therefore, this study aimed to explore the reliability and validity of the Digital Competence Indicators tool in assessing the digital skills of Greek health professionals. METHODS: in this cross-sectional study, 494 health professionals, including doctors (175) and registered nurses (319) working in four Greek hospitals were recruited and willingly participated using a convenience-sampling method. The original framework of Digital Competence Indicators was translated from English to Greek based on guidelines for cross-cultural adaptation of questionnaires. The validity of the tool was explored using confirmatory factor analysis (CFA) to verify the fit of the model using inductive techniques. The instrument reliability was confirmed using Cronbach's alpha (α) and McDonald's Omega coefficients. RESULTS: the reliability was estimated at 0.826 (Cronbach's-α) and 0.850 (McDonald's Omega-ω). The indicators of CFA were all calculated within an ideal range of acceptance. Specifically, the CFA comparative fit index produced the following adjustment indices: x2/df = 1.152 (p = 0.037), CFI = 0.997, Lewis index (TLI) = 0.966, and root mean square error of approximation (RMSEA) = 0.018. CONCLUSIONS: The present study demonstrated that the Digital Competence Indicator instrument has high reliability, internal consistency, and construct validity and, therefore, it is suitable for measuring digital skills of health professionals.

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Nurses use electronic information systems daily, and digital devices have been developed to enable patient to live at home as long as possible. This study aimed to test reverse mentoring for professionals working with digital tools in home care. An electronic survey was sent twice to nurses to collect their opinions about the tools they use. Based on the results from the first survey (N=184), the mentoring content focused on the use of information systems and digital tools. Respondents' experiences as information system users were more abundant than their experiences as digital tool users. Tools supporting independent living were seldom used, but safety devices and alarm monitoring were used daily. The mentoring meetings induced changes and encouraged participants to acquire skills related to the use of digital tools and to evaluate their work critically.

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The digital transition poses relevant challenges and opportunities for older adults in aging European societies. To unleash the potential of the digital transition in old age and avoid the risk of exclusion, digital education for older adults seems to be a valuable solution. One of the most suitable approaches to digital education for older adults appears to be the peer-to-peer approach. However, not much literature is available on this topic. Within the ACTIVE-IT project, we aimed to design, implement, and evaluate a digital peer education course for older adults, focusing specifically on the use of smartphones and daily utility apps, such as mailing, e-Gov, and e-commerce. The purpose of this contribution is to document the protocol adopted to evaluate the course. The course involved 32 participants aged 65 or older, who, between March 2024 and June 2024, divided into three groups, attended a 10-lesson weekly course taught by a peer. We aim to measure the effect of the course on participants' digital skills and their perceived wellbeing. To do so, we will adopt a mixed methods approach, employing: digital methods by collecting and analyzing data on participants' smartphone use (i.e., log data on smartphone use before/during/after the intervention); a quasi-experiment, collecting information on course participants' wellbeing before/after the course attendance using a questionnaire survey; ethnographic observation conducted during the course, observing interactions between subjects during the course. The study has been approved by the Ethic Committee of the University of Milano Bicocca (prot.nr. 167541/2024).

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BACKGROUND: The adoption of digitization has emerged as a new trend in the advancement of healthcare systems. To ensure high-quality care, nurses should possess sufficient skills to assist in the digital transformation of healthcare practices. Suitable tools have seldom been developed to assess nurses' skills in digital applications. This study aimed to develop the Nursing Digital Application Skill Scale (NDASS) and test its psychometric properties. METHODS: The Nursing Digital Application Skill Scale was developed in three phases. In Phase 1, an item pool was developed based on previous literature and the actual situation of nursing work. Phase 2 included 14 experts' assessment of content validity and a focus group interview with 30 nurses to pretest the scale. In phase 3, 429 registered nurses were selected from March to June 2023, and item analysis, exploratory factor analysis, and confirmatory factor analysis were used to refine the number of items and explore the factor structure of the scale. Additionally, reliability was determined by internal consistency and test-retest reliability. RESULTS: The final version of the NDASS consisted of 12 items. The content validity index of NDASS reached 0.975 at an acceptable level. The convergent validity test showed that the average variance extracted value was 0.694 (> 0.5) and the composite reliability value was 0.964 (> 0.7), both of which met the requirements. The principal component analysis resulted in a single-factor structure explaining 74.794% of the total variance. All the fitting indices satisfied the standard based upon confirmatory factor analyses, indicating that the single-factor structure contributed to an ideal model fit. The internal consistency appeared high for the NDASS, reaching a Cronbach's alpha value of 0.968. The test-retest reliability was 0.740, and the split-half coefficient was 0.935. CONCLUSION: The final version of the NDASS, which possesses adequate psychometric properties, is a reliable and effective instrument for nurses to self-assess digital skills in nursing work and for nursing managers in designing nursing digital skill training.

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Having good digital skills is essential today, yet little is known about the cognitive factors that influence the development of these skills. Given the importance of executive functions (EFs) in adapting to environmental changes and acquiring skills, EFs might contribute to acquiring digital skills too. EFs might also influence people's approach toward ICTs and affect digital skills through emotional variables. Therefore, here, we tested whether cognitive control and flexibility are connected to computer and smartphone skills through emotional factors (learning confidence, stress, and attitude). A total of 269 participants (56 males, M = 30 years) filled out our survey which included questionnaires on demographic variables (age, education, and socioeconomic status), ICT motivation, digital skills, EFs, and technology-related emotional factors. EFs were also investigated through two performance-based measures. We used generalized linear models and structural equation modeling to test the associations between these variables. The results showed that smartphone skills were positively associated with self-reported cognitive flexibility through ICT learning confidence and technology-induced stress. Self-reported cognitive control and age were connected to smartphone skills directly. Self-reported cognitive flexibility was also associated with computer skills through ICT learning confidence. In addition, performance-based cognitive control and the level of education were directly linked to computer skills. These results may provide guidance to support digital skills and create digital skill training.

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This dataset provides longitudinal survey data from a European project, ySKILLS, which was focused on the role of digital skills in youths' development. It contains data from 10,821 participants from Grades 6-10 (in Wave 1) in Estonia, Finland, Germany, Italy, Poland, and Portugal. The data was collected between Spring 2021 and Spring 2023, the participants were recruited through schools, where the data collection also took place, except for online data collections due to restrictions caused by COVID-19. The dataset is novel in its multidimensional approach to the construct of digital literacy. It provides insight into the development of digital skills in youth and the role of digital skills and internet usage in youths' positive and negative online experiences and wellbeing. It also contains data that allows for the analysis of the role of digital skills in class networks. The data are beneficial for researchers interested in the examination of youths' online skills, internet usage, online experiences, and wellbeing from a longitudinal perspective.

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BACKGROUND: Although comprehensive lifestyle habits are crucial for healthy aging, their adherence tends to decline as individuals grow older. Sustaining a healthy life over time poses a motivational challenge. Some digital tools, such as smartphone apps aimed at promoting healthy habits, have been used to counteract this decline. However, a more profound investigation is necessary into the diverse experiences of users, particularly when it concerns older adults or those who are unfamiliar with information and communications technologies. OBJECTIVE: We aimed to develop a mobile app focused on promoting the health of older adults based on the principles of software engineering and a user-centered design. The project respected all ethical guidelines and involved the participation of older adults at various stages of the development of the app. METHODS: This study used a mixed methods approach, combining both quantitative and qualitative methodologies for data collection. The study was conducted in Ribeirão Prêto, São Paulo, Brazil, and involved 20 older adults of both genders who were aged ≥60 years and enrolled in the Physical Education Program for the Elderly at the University of São Paulo. The research unfolded in multiple phases, encompassing the development and refinement of the app with active engagement from the participants. RESULTS: A total of 20 participants used a mobile health app with an average age of 64.8 (SD 2.7) years. Most participants had a high school education, middle-class status, and varying health literacy (mean score 73.55, SD 26.70). Overall, 90% (18/20) of the participants owned smartphones. However, 20% (4/20) of the participants faced installation challenges and 30% (6/20) struggled with web-based searches. The focus groups assessed app usability and satisfaction. Adjustments increased satisfaction scores significantly (Suitability Assessment of Materials: 34.89% to 70.65%; System Usability Scale: 71.23 to 87.14). Participant feedback emphasized font size, navigation, visual feedback, and personalization, and suggestions included health device integration, social interaction, and in-app communication support. CONCLUSIONS: This study contributes to the development of health care technologies tailored to the older adult population, considering their specific needs. It is anticipated that the resulting app will serve as a valuable tool for promoting healthy habits and enhancing the quality of life for older adults.

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Background: The digital transformation of healthcare enables new ways of working in cancer care directing attention on the digital skills of healthcare professionals. This systematic review aims to identify existing evidence about digital skills among health care professionals in cancer care to identify the needs for future education and research. Methods: Database searches were conducted in PubMed, CINAHL, Web of Science, Scopus, Cochrane and ERIC to identify studies until March 2023. The inclusion criteria were digital skills of health care professionals in cancer care as described by themselves, other health care professionals, patients or significant others. The CASP tool was used for quality assessment of the studies. Data was analysed following inductive content analysis. Results: The search produced 4563 records, of which 24 studies were included (12 qualitative, 10 quantitative, 1 mixed methods design and 1 strategy paper). Four main categories were identified describing HCPs' required skills, existing skills and development areas of digital skills in cancer care: Skills for information technology, Skills for ethical practice, Skills for creating a human-oriented relationship and Skills for digital education and support. In development areas, one more main category, Skills for implementing digital health, was identified. Conclusion: The digital skills of health care professionals in cancer care are multifaceted and fundamental for quality cancer care. The skills need to be assessed to provide education based on actual learning needs. The review findings can be used for education and research in this field.

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Introduction: Digital health has the potential to support health care in rural areas by overcoming the problems of distance and poor infrastructure, however, rural areas have extremely low use of digital health because of the lack of interaction with technology. There is no existing tool to measure digital health literacy in rural China. This study aims to test and validate the digital health readiness questionnaire for assessing digital readiness among patients in rural China. Methods: Due to the different Internet environments in China compared to Belgium, a cultural adaptation is needed to optimize the use of Digital Health Readiness Questionnaire in China. Then, a prospective single-center survey study was conducted in rural China among patients with hypertension. Confirmatory factor analysis was computed to test the measurement models. Results: A total of 330 full questionnaires were selected and included in the analysis. The model-fit measures were used to assess the model's overall goodness of fit (Chi-square/degrees of freedom = 5.060, comparative fit index = 0.889, Tucker-Lewis index (TLI) = 0.869, root mean square error of approximation (RMSEA) = 0.111, standardized root mean square residual (SRMR) = 0.0880). TLI is a little bit lower than the borderline (more than 0.9) and RMSEA is higher than it (less than 0.08 means good model fit). We deleted two items 2 and 4 and the result shows a better goodness of fit (Chi-square/degrees of freedom = 4.897, comparative fit index = 0.914, TLI = 0.895, RMSEA = 0.109, SRMR = 0.0765). Conclusion: To increase applicability and generalizability in rural areas, it should be considered to use the calculation of only the parts Digital skills, Digital literacy and Digital health literacy which are equally applicable in a Belgian population as in a rural Chinese population.

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The subpopulation of adults depends on non-online health information sources including their social networks and health professionals, to the exclusion of online sources. In view of the digital divide and health information disparities, the roles of race/ethnicity and digital skills are yet to be explored. A nationally representative sample of 6,830 adults from the Program for the International Assessment of Adult Competencies (PIAAC) was analyzed, using binary logistic regression. Black adults and adults with higher digital skills were less likely to be reliant on non-online health information sources, compared to White adults and those with lower digital skills, respectively. Differences in non-online health information source reliance by race/ethnicity and digital skills might be further nuanced by the relevant demographic and socioeconomic characteristics. Increasing digital skills may expand one's health information sources to include reliable online sources and empower adults to promote their health.

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BACKGROUND: A number of real-world digital literacy training programs exist to support engagement with mobile devices, but these have been understudied. OBJECTIVE: The purpose of this study was to examine the effectiveness and program acceptability of a digital skills training program among middle-aged and older adults (aged ≥50 years) and to gather participants' recommendations for lifelong digital skills promotion. METHODS: The Gluu Essentials digital skills training program includes learning resources to support tablet use. Through pre-post surveys, this study assessed mobile device proficiency, confidence in going online and in avoiding frauds and scams, the frequency of engaging in online activities, program engagement, acceptability, and suggestions for continued support. RESULTS: A total of 270 middle-aged and older adults completed baseline surveys. Of these 270 participants, 145 (53.7%) completed follow-up surveys. Our findings indicate that mobile device proficiency increased (P<.001), whereas confidence was unchanged. Participants also reported going online more frequently to shop (P=.01) and access government services (P=.02) at follow-up. Program engagement varied considerably, but program acceptability was high. Participants' recommendations included the need for providing ongoing programs for support and training because technology constantly changes, reducing costs for technology and internet access, and keeping learning resources simple and easy to access. CONCLUSIONS: The Gluu Essentials digital skills training program increased mobile device proficiency and frequency of web-based activities (shopping and accessing government services) among middle-aged and older adults.

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Increasing the pension age as a dominant solution to population ageing does not bring desirable outcomes, if not accompanied by other essential measures in lifelong learning and fighting age discrimination. Moreover, rapid digitalisation and automation in the labour market bring additional uncertainties for the growing group of older workers. The analysis is based on the SHARE data from Waves 5, 6, and 7 and examines predictors of retirement intentions by two different estimation methods. While digital skills are positively associated with a willingness to stay in the labour market in the random-effect modelling, fixed-effects regression shows no correlation between digital skills and retirement intentions. This difference means that digital skills do not correlate with retirement intentions once we control for time-invariant individual characteristics. Thus, increasing ICT literacy among older workers can have a very limited potential for extending working lives. In contrast to this result, starting to be self-employed, health improvement, having an additional grandchild, and losing a partner increase the willingness to work longer. The study identifies the factors shaping retirement intentions, which should be reflected in any effective social policy.

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Although young people spend increasing amounts of time online, many gaps remain in the literature regarding the effect of time spent online on young people's development of well-being. We focus on the influence of time spent online on feelings of self-reported (a) depression and (b) health of adolescents. We also consider the mediating role of digital skills and digital activities, each of which is broken down into five dimensions. We collected data through a two-wave longitudinal online survey among 3,942 adolescents aged 12-17 years in six European countries (first wave [W1] = 2021; second wave [W2] = 2022). We specifically want to understand how feelings of self-reported depression and health at W2 are affected by the time spent online at W1, and how digital skills and digital activities at W2 mediate these relationships. Findings indicate a significant increase in feelings of depression and a decrease in self-reported health between W1 and W2. Regarding digital skills, information navigation and communication and interaction were linked to greater well-being (lower depression and greater self-reported health). Regarding digital activities, the development of social relationships online was linked to lower self-reported depression and greater health, while frequently using the Internet to look up information on physical or mental health issues was strongly linked to greater depression and lower health. We discuss the implications of these findings for practice and policy on young people's well-being.

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The profound ramifications stemming from a multitude of global events and the ongoing progression of the fourth and fifth industrial revolutions necessitate a broadening of skillsets beyond the mere acquisition of technical and digital proficiencies. The practical, intelligent, responsible, and sustainable utilisation of technologies relies exclusively on human agency. Such employment necessitates a type of cognitive processing that machines find arduous, emphasising the importance of aligning human reasoning with machine intelligence. The significance of digital skills is widely acknowledged within the framework of cultivating suitable sets of employee abilities. Nonetheless, it is imperative to underscore the importance of human skills as they remain irreplaceable by robots. Furthermore, the labour market acknowledges and rewards these skills owing to their capacity to confer flexibility and adaptability, thereby embodying the competing attributes of the future workforce. In light of the prevailing circumstances outlined in Industry 5.0-characterised by an amplified utilisation of technologies and diminished interpersonal interactions resulting from the pervasive impact of the Covid-19 pandemic-this study seeks to provide a theoretical description of the significance of soft skills and their categorisation, while investigating the practical demand for such skills. The dataset used in this study encompasses information pertaining to skill prerequisites extracted from job posts published on a job portal over five years, encompassing 19 000 distinct organisations. The findings of our study revealed that within technologically driven domains, there is a discernible demand for soft skills, such as critical and analytical thinking, problem-solving, communication skills, and creativity with flexibility. Furthermore, our results indicate that individuals must possess balanced proficiency in both soft and digital skills to thrive in a future characterised by technological advancements.