Which professional skills value more under digital transformation?

PurposeThis study seeks to explore the demand side of the labour market influenced by the digital revolution. It aims at identifying the new composition of skills and their value as implicitly manifested by employers when they look for the new labour force. The authors analyse the returns to computing skills based on text mining techniques applied to the job advertisements.Design/methodology/approachThe methodology is based on the hedonic pricing model with the Heckman correction to overcome the sample selection bias. The empirical part is based on a large data set that includes more than 9m online vacancies on one of the biggest job boards in Russia from 2006 to 2018.FindingsEmpirical evidence for both negative and positive returns to computing skills and their monetary values is found. Importantly, the authors also have found both complementary and substitutional effects within and between non-domain (basic) and domain (advanced) subgroups of computing skills.Originality/valueApart from the empirical evidence on the value of professional computing skills and their interrelations, this study provides the important methodological contribution on applying the hedonic procedure and text mining to the field of human resource management and labour market research.

Teacher observations of programming affordances for K-12 mathematics and technology

With future shortage of professionals with programming and computing skills, many countries have made programming part of kindergarten – grade 12 curriculum (K-12). A possible approach is to make programming part of an already existing subject. Sweden has chosen this approach and in 2017 programming was integrated in the subject content of K-12 mathematics and technology. Integrating programming is at the expense of extra workload on teachers. Teachers affected by these changes will face new challenges in their teaching and learning activities. The aim of the study is to examine K-12 teachers’ use and perceived affordances of programming as a tool for teaching and learning activities in mathematics and technology. Data were collected through focus group discussions with three teacher teams in mathematics and technology from three K-12 schools in the mid Sweden region. 21 teachers participated in the study. Thematic analysis with a mixture of deductive and inductive coding were used to analyse the data. Theory of affordances was used to structure findings in themes of interests and answer the study’s aim and research questions. Results show that the teachers use a variety of programming tools in their teaching and learning activities. The use of programming in mathematics and technology can be understood in five main perceived affordances: 1) Play, 2) Discovery, 3) Adaptation, 4) Control, and 5) Freedom; which relate to both student motivation and subject content. Teachers also perceive obstacles and opportunities in using programming, that relates to different programming tools’ ability to support teaching and learning activities. The findings of this study can be drawn upon by teachers and other stakeholders in the integration of programming in K-12 education, and in the design of teaching and learning activities with programming.

A Preliminary Analysis of the Perception Gap between Employers and Vocational Students for Career Sustainability

(1) Background: Nowadays, technological advancement plays a key role in the economic uplift of developing countries, and it is paramount that the youth of these countries are well-equipped with both vocational and technical skills to bring about sustainability in their careers. (2) Methods: The present study aims to investigate the perception gap between vocational students and industrial employers with regard to employability skills. In this regard, data were collected from 683 vocational students from urban/rural areas studying in the public/private vocational institutions of a developing country. Similarly, 82 vocational employers were contacted about their perception of employability skills. A questionnaire comprising 20 questions was administered online to both students and employers for registering their responses. Data were analyzed with the help of descriptive statistics, interval plots, and an Ishikawa diagram. (3) Results: The findings reveal that vocational employers give maximum importance to interpersonal, technical, and entrepreneurial skills, while students perceive that their technical and computing skills are vital for sustainable careers. Similarly, the rural/public students showed minimum levels of competency in these skills as compared with their counterparts living in rural areas and studying in the private institutions. Furthermore, structured interviews were conducted with the concerned stakeholders to develop a remedial framework for the sustainable careers of these vocational students. (4) Conclusions: The results of the study not only bring sustainability to the vocational sector of developing countries, but to all those countries enjoying similar socioeconomic backgrounds.

The Use of The High-Performance Computing in The Learning Process

The need for specialists with high-performance computing skills is growing day by day. This is due to the fact that the high-performance process of processing big data is one of the most pressing problems today. This is especially important in science, economics, physical modeling, medicine, bioinformatics, weather forecasting, etc. This article analyzes the conditions for teaching high-performance computing, the experience of leading universities in the world, and it is established that teaching high-performance computing requires study. High performance computing training was carried out on 3 different hardware equipment (a personal computer, a supercomputer “Param-Bilim” India – Kazakhstan Centre of Excellence in ICT [IKCOEICT] at L.N. Gumilyov Eurasian National University and a quantum computer in the cloud IBM Quantum Experience) using different algorithms in the C ++ and Phyton programming languages. The effectiveness of the calculation results in the educational process was determined as a result of the completed questionnaire.

The essential skills and competencies of LIS professionals in the digital age: alumni perspectives survey

Purpose The librarianship profession has gone through many changes over time, more so with the emergence of digital technologies. To thrive in the library and information science (LIS) profession, professionals must have knowledge, skills, competencies and abilities to perform their job duties. The purpose of this paper was to identify essential knowledge, skills and abilities (KSAs) for the LIS professionals. Design/methodology/approach The targeted survey group for the study were alumni of ten LIS schools in India, who are now working in various library sectors. A structured questionnaire was designed to seek their opinions, and the snowball sampling technique was adopted to collect the data. A total of 377 responses were received from the respondents. Findings Five broad areas of KSAs were identified: traditional library skills, research skills, computing skills, data management skills and soft skills. This study found that computing skills, library automation and library digitization are considered absolutely essential for the LIS professionals. The results also brought out the importance of “soft skills” for the LIS professionals. Prerequisite knowledge of library liaison services, technical services and foreign language were reportedly important only for working in special libraries. Practical implications This study identified 54 skills across five broad areas that are essential for the professionals working in library and information centres. The research findings will be helpful for the educators who want to design, develop and upgrade the LIS course curriculum in accordance with the skills that are in demand in the market. Originality/value This study establishes that though the participants expressed satisfaction with the practicum of the curriculum, the LIS course curriculum needs to be improved. It would be in the best interest of the LIS schools to identify and rectify the gap.

Teaching for a Data-Driven Future: Intentionally Building Foundational Computing Skills

Despite the centrality of data analysis to the discipline, sociology departments are currently falling short of teaching both undergraduate and graduate students crucial computing and statistical software skills. We argue that sociology instructors must intentionally and explicitly teach computing skills alongside statistical concepts to prepare their students for participation in a data-driven world. We illuminate foundational concepts for computing in the social sciences and provide easy-to-integrate recommendations for building competency with these concepts in the form of a workshop designed to introduce sociology undergraduate and graduate students to the logic of statistical software. We use our workshop to show that students appreciate and gain confidence from being taught how to think about computing.

Learning in a Crisis: Online Skill Building Workshop Addresses Immediate Pandemic Needs and Offers Possibilities for Future Trainings

The COVID-19 pandemic led to the suspension of many summer research opportunities for science, technology, engineering and mathematics students. In response, the Incorporated Research Institutions for Seismology Education and Outreach program, in collaboration with Miami University, offered a free online Seismology Skill Building Workshop to increase undergraduates’ knowledge, skills, self-efficacy, and interest in observational seismology and scientific computing. Registrations were received from 760 undergraduates representing 60 different countries. U.S. participants consisted of 59% women and 29% from populations traditionally underrepresented in the geosciences. The workshop design consisted of a tailored Linux virtual machine, regular webinars, a Slack workspace, tutorial-style active e-learning assignments, and an optional final project. Every other week for 12 weeks, a module with ∼6 assignments was released to build skills with Linux, Generic Mapping Tools, Seismic Analysis Code, webservices, seismic network processing, Python, ObsPy, and Jupyter notebooks. A final module focused on competitiveness for graduate school, summer internships, and professional jobs. Evaluation of the workshop relied on registration data, pre- and post-workshop surveys, and performance data from the learning management system. 440 participants completed at least one assignment, 224 completed at least 80% of the assignments, and 191 completed all 35 assignments, significantly higher than most comparable large-scale, open-access courses. Participants invested ∼6 hrs per week and averaged a score of 88% on assignments. We identified >60% normalized gain in scientific computing skills. There is evidence that the inclusive design of the workshop was able to attract and retain a diverse population. However, some additional investigation is needed to ensure that benefits were evenly experienced. Regardless of the degree of completion, participants perceived the workshop quite positively: on average 96% described it as high to very high quality, 83% satisfied to very satisfied with their experience, and 70% very likely to recommend to peers. We identify future directions for running a second iteration of the workshop, including strategies to continue broadening participation and improving retention.

Computing Competency for Civil Engineering Graduates: Recent Updates and Developments in Saudi Arabia and the US

This paper discusses recent updates and developments of computing-based courses in the civil engineering discipline. Competency in computing is one of the most important capabilities for university graduates to obtain given the rapid development of computer technology in professional work. Civil engineering is no exception. In fact, many contemporary civil engineering projects require a high degree of computing skills, ranging from performing basic office work to programming for decision support system application in controlling flood water gates to executing construction automation via digital printing technology. However, the curriculum content for computing in civil engineering has been developmentally stagnant in the past several decades. This could be partly due to learning outcomes for civil engineering graduates, which do not explicitly mention a certain degree of achievement with respect to computing skills. Several computing-based courses offered in various civil engineering programs across Saudi Arabia and the US were examined, and their contents were compared to recent survey results administered by the American Society of Civil Engineering Technical Committee on Computing and Information Technology. The discussion is extended by examining technical courses offered in the Civil Engineering Program in Prince Mohammad Bin Fahd University with respect to computing skills. The outcomes of this study are expected to give input and suggestions for future upgrades of computing-based courses offered within the civil engineering curriculum.