Lifelong Learning in Developing Knowledge Workers

2012 ◽  
Author(s):  
Abdul Halim Abdul Majid ◽  
Nor Bizura Seth

This monograph discusses the importance of lifelong learning in developing knowledge workers and human capital. Facets of lifelong learning, knowledge workers and human capital are highlighted to provide basic understanding to all readers. The facets of lifelong learning include accessibility to learning, investment for learning, methods and contents of learning, values of learning, direction and guidance in learning and learning opportunities closer to home. Meanwhile, the facets of knowledge worker are problem solving, using intellectual skills, requiring a high level of autonomy, emphasizing on quality of judgment, using unique processes, possessing un-codified knowledge, sourcing between his ears and using knowledge and information to add to deeper knowledge and information. There are several individuals whom we would like to thank for their contributions to this monograph. This monograph has benefited greatly from the inputs, comments and expertise as well as working experience of all contributors. We also would like to thank the School of Business Management, the College of Business, Universiti Utara Malaysia, the Research Innovation and Management Center (RIMC) of Universiti Utara Malaysia and the top leaders of the University for their encouragement and support. Those who have contributed directly or indirectly toward the publication of this monograph also deserve our appreciation.

2012 ◽  
Vol 23 (1) ◽  
pp. 0-0
Author(s):  
Katarzyna Zięba

The above-average involvement of knowledge workers in their work is not synonymous with loyalty to the employer. Although the work performed is a kind of passion, there are many determinants, indicating disloyalty of knowledge workers to the organization. The conclusion is that the knowledge workers have characteristics of disloyal employees. Therefore, the disloyal knowledge worker can be used as a specific object of synectics, for instance: circular structure, pie chart and clusters. The characteristics of disloyalty of knowledge workers should be one of the dominant areas of interest to specialists in the management of human capital. The growing importance of this category of workers implies a problem for management and above all how to retain them in the organization. The dynamic environment is the source of many opportunities for knowledge workers, which may be reasons for their disloyalty to the employer (e.g. departure to the competition). Therefore, managers of various organizations will be forced to modify the existing management systems, taking into account the more attractive elements influencing the loyalty of knowledge workers to the organizations employing them.


Management ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 105-133 ◽  
Author(s):  
Bartosz Surawski

Summary The term “knowledge worker” has entered the language of management and economics, becoming popular or even fashionable. Consequently, its definitions are varied and often ambiguous or provisional – which makes it difficult to identify and research such employees. Deeper understanding of the term “knowledge workers” is required. One of the ways of defining a term is to define its semantic area through borders and overlaps with synonyms and “adjoining” terms. Such comparisons can help to deepen understanding of the central term and reveal its defining features. Therefore, two objectives were set in this study: 1) to compare “knowledge workers” and synonymous and associated terms specifying similarities, differences and areas of overlap, in order to find defining features of “knowledge workers”; and 2) to specify the synonymous and associated terms closest to knowledge workers and useful as proxies for research purposes. A group of 15 synonyms was selected, including historical and presently applied terms, proposed by various researchers or used in popular language. These terms were first characterized, and then compared to knowledge workers in terms of similarities, differences and areas of overlap. Comparison pointed to a number of features strongly related to knowledge work. Based on them, a sketch definition was proposed: Knowledge workers work mainly on symbols (representations), transforming them in cognitive processes, which is the main source of added value. To do that, they must command a large body of knowledge equivalent to university education, understood and internalised, grounded in experience and consequently updated. They perform complex tasks, focus on problem-solving, creating knowledge, distributing it and applying to achieve results. They broadly use documents and ICT, and require high level of autonomy. With respect to the second aim of the study, there are several terms closer in meaning to knowledge workers. Terms with most similarities and least differences include specialists and experts. Of these, specialists have most similarities, while experts are a narrower, more advanced type of specialists. In terms of overlap, categories closest to knowledge workers seem to be specialists/ professionals (wider) and professionals (narrower) – both are large sub-sets of knowledge workers, with specialists leaving fewer remainders. As far as identifiability is concerned, terms related to classifications of occupations are those better defined. Among them, “white-collars”, knowledge producers and distributors, and information workers were measured in older classifications, while specialists/ professionals and managers are categories measured today. Both are defined in detail in ISCO-08, making them identifiable also at the organisational level. Statistics of specialists and managers are gathered regularly in most countries belonging to ILO and are easily accessible. Concluding, specialists/ professionals (wider) are the best proxy group for researching knowledge workers: they possess almost the same key features, overlap closely, leaving smallest remainder, and are defined in detail in an international classification used worldwide to measure their national populations. Selecting a random member of the group, one is practically certain to find a knowledge worker.


The article based on the analysis of the literature, identifies the general patterns of development of lifelong learning. The need for lifelong learning is considered; basic competencies that help in this, as well as the relevance of the choice and use of these competencies in modern society. It is investigated that in the conditions of European integration of Ukraine and innovative management under the influence of social and economic transformations requirements to the quality of professional training of future experts grow. Balanced management of the modernization of higher education and the market of educational services it provides will provide a strong, high level of personal and professional competence with strong, innovative knowledge, personal and professional competence, strong human potential. The key problems of post-industrial production, the technologies of which are constantly updated, have been identified, and many specialists are forced to retrain, change qualifications or the profession in general. Therefore, lifelong learning becomes relevant, which is the basis for the self-realization of each individual, a factor in the formation of powerful human capital, a determinant of the economic prosperity of Ukraine. The fundamental principles of lifelong learning are studied. The study analyses the methodological aspects of lifelong learning, which reveal the spatial approach (which allows you to analyse the interdependent continuous, subordinate socio-political and cultural processes); multilevel approach (which analyses the relationships and interactions of the reproduction of human capital at the micro-, meso, and macro levels, taking into account global, global, regional and local factors influencing the political, economic, socio-cultural trends of intellectual society). The expediency of applying the experience of the European Union countries and, in particular, Slovakia in Ukraine to increase the efficiency of lifelong education administration is substantiated.


2021 ◽  
Vol 7 (3A) ◽  
pp. 394-407
Author(s):  
Svitlana Tolochko ◽  
Oksana Voitovska ◽  
Nataliia Bordiug ◽  
Iryna Tovkach ◽  
Olha Kratko

The purpose of this investigation is to identify the manifestations of current trends in the development of lifelong learning at the final stage of study at the university. The research used such methods as complex analysis, study and analysis of scientific literature on lifelong learning, method of questionnaires, monitoring, information collection, qualitative, and quantitative analysis of data, statistical and mathematical interpretation of empirical data and functional analysis, generalization method and abstractions. In summarizing the results of the study, three fundamental factors of LLA were considered: questionnaire (based on non-self-reflexive tactics); Academic success rate; Participation in research and public activity rate. High Level of LLA was shown by 15.8% of respondents, Good Level of LLA was found in 52.5% of respondents, Sufficient Level of LLA - in 14.2% and Unsatisfactory Level of LLA - in 17.5%. Unsatisfactory LLA in 17.5% is an indicator that can be described as undesirably high. Based on the theoretical analysis and systematization of empirical data, a set of recommendations for improving the LLA of applicants directly in the framework of higher education.


The paper is a review on the textbook by A. V. Yeremin, «The History of the National Prosecutor’s office» and the anthology «The Prosecutor’s Office of the Russian Empire in the Documents of 1722–1917» (authors: V. V. Lavrov, A. V. Eremin, edited by N. M. Ivanov) published at the St. Petersburg Law Institute (branch) of the University of the Prosecutor’s office of the Russian Federation in 2018. The reviewers emphasize the high relevance and high level of research, their theoretical and practical significance. The textbook and the anthology will help the students increase their legal awareness, expand their horizons.


2020 ◽  
Author(s):  
Helena S. Wisniewski

With companies now recognizing how artificial intelligence (AI), digitalization, the internet of things (IoT), and data science affect value creation and the maintenance of a competitive advantage, their demand for talented individuals with both management skills and a strong understanding of technology will grow dramatically. There is a need to prepare and train our current and future decision makers and leaders to have an understanding of AI and data science, the significant impact these technologies are having on business, how to develop AI strategies, and the impact all of this will have on their employees’ roles. This paper discusses how business schools can fulfill this need by incorporating AI into their business curricula, not only as stand-alone courses but also integrated into traditional business sequences, and establishing interdisciplinary efforts and collaborative industry partnerships. This article describes how the College of Business and Public Policy (CBPP) at the University of Alaska Anchorage is implementing multiple approaches to meet these needs and prepare future leaders and decision makers. These approaches include a detailed description of CBPP’s first AI course and related student successes, the integration of AI into additional business courses such as entrepreneurship and GSCM, and the creation of an AI and Data Science Lab in partnership with the College of Engineering and an investment firm.


Journal ◽  
2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Tanya Jakimow

Recent work exploring student reactions to the anthropology of development highlights the importance of going beyond simply imparting practical skills, or alternatively delivering content that offers an unrelenting critique (Djohari 2011; Handler 2013). In this paper, I argue that by casting an anthropological eye on the classroom, teachers can provide a learning environment in which students transform into reflective ‘novice’ practitioners equipped for lifelong learning. This involves making explicit the processes of knowledge construction in the classroom, and by extension, the development field. It entails providing the resources through which students can become social beings in the development sector, with attention to expanding the possibilities for the formation of multiple identities. 


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii464-iii464
Author(s):  
Dharmendra Ganesan ◽  
Nor Faizal Ahmad Bahuri ◽  
Revathi Rajagopal ◽  
Jasmine Loh PY ◽  
Kein Seong Mun ◽  
...  

Abstract The University of Malaya Medical Centre, Kuala Lumpur had acquired a intraoperative MRI (iMRI) brain suite via a public private initiative in September 2015. The MRI brain suite has a SIEMENS 1.5T system with NORAS coil system and NORAS head clamps in a two room solution. We would like to retrospectively review the cranial paediatric neuro-oncology cases that had surgery in this facility from September 2015 till December 2019. We would like to discuss our experience with regard to the clear benefits and the challenges in using such technology to aid in the surgery. The challenges include the physical setting up the paediatric case preoperatively, the preparation and performing the intraoperative scan, the interpretation of intraoperative images and making a decision and the utilisation of the new MRI data set to assist in the navigation to locate the residue safely. Also discuss the utility of the intraoperative images in the decision of subsequent adjuvant management. The use of iMRI also has other technical challenges such as ensuring the perimeter around the patient is free of ferromagnetic material, the process of transfer of the patient to the scanner and as a consequence increased duration of the surgery. CONCLUSION: Many elements in the use of iMRI has a learning curve and it improves with exposure and experience. In some areas only a high level of vigilance and SOP (Standard operating procedure) is required to minimize mishaps. Currently, the iMRI gives the best means of determining extent of resection before concluding the surgery.


Author(s):  
Can Cui ◽  
Yifan Wang ◽  
Qiang Wang

AbstractHuman capital has been acknowledged as a key driver for innovation, thereby promoting regional economic development in the knowledge era. University graduates from China’s “first-class” universities—the top 42 universities, included in the “double first-class” initiative, are considered highly educated human capital. Their migration patterns will exert profound impacts on regional development in China, however, little is known about the migration of these elite university graduates and its underlying driving forces. Using data from the 2018 Graduate Employment Reports, this study reveals that the uneven distribution of “first-class” universities and regional differentials largely shaped the migration of graduates from the university to work. Graduates were found aggregating in eastern first-tier cities, even though appealing talent-orientated policies aimed at attracting human capital had been launched in recent years by second-tier cities. Employing negative binomial models, this study investigates how the characteristics of the city of university and destinations affect the intensity of flows of graduates between them. The results showed that both jobs and urban amenities in the university city and destination city exert impacts on the inflow volume of graduates; whereas talent attraction policies introduced by many second-tier cities are found not to exert positive effects on attracting “first-class” university graduates presently. The trend of human capital migration worth a follow-up investigation, particularly given ongoing policy dynamics, and would shed light on the regional development disparities in China.


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