International Institute of
A Cybernetics Perspective on Data Science: Macro and Micro Views
Ku, Cyril S.; Marlowe, Thomas J.; Laracy, Joseph R.; Choi, Jin-A (United States)
https://doi.org/10.54808/WMSCI2022.01.47
ABSTRACT:
In this paper, data science is considered from a cybernetic perspective in two viewpoints. After a brief review of cybernetics, a partial conceptual view of a data science framework is provided. Several layers are identified, working from the software engineering life cycle macro perspective of a data analysis system, through production of a machine learning model to mine knowledge and predict business and product trends, to the micro perspective of a specific analysis, in this case using an artificial neural network. How the layers fit, individually and collectively, into a cybernetic system, identifying feedback loops and their interactions are described. Finally, the advantages and disadvantages of understanding the modern data science life cycle from the cybernetics perspective, and insights to be gained from this perspective are discussed.
Assessment of Factors Influencing Financial Risks of Company Mergers and Acquisitions
Ma, Yan; Kozlovskis, Konstantins; Ciemleja, Guna (Latvia)
https://doi.org/10.54808/WMSCI2022.01.103
ABSTRACT:
This article explores and analyzes the types, characteristics of mergers and acquisitions (M&A) of companies. In addition, the causes of financial risks of M&A of companies and ways to prevent and control these risks are analyzed, as well as the factors affecting the financial risk of M&A of companies are analyzed. Listed Chinese companies that completed M&A deals in 2017 were selected as sample companies. The Z-Score model is used to calculate financial risks. A multiple linear regression model is used to assess the factors influencing financial risk.
Background Segmentation Method for Autonomous Car
Bobulski, Janusz; Karbowiak, Lukasz (Poland)
https://doi.org/10.54808/WMSCI2022.01.19
ABSTRACT:
Segmentation is the basic stage of image processing that involves disjoint areas. As a result, the isolation of image fragments with specific features is obtained, which in turn facilitates the recognition of elements in a complex image. We deal with such a situation in the analysis of images from cameras of autonomous vehicles. Rapid image analysis is essential to detect objects and hazards on the road. In this article, we present a quick method of background segmentation in difficult weather conditions. The obtained results confirm its effectiveness and low computational complexity, which allows it to be used in cars.
Business Resilience to Crisis: The Latvian Case
Pokromovica, Iveta; Lace, Natalja; Oganisjana, Karine (Latvia)
https://doi.org/10.54808/WMSCI2022.01.121
ABSTRACT:
The aim of the paper is to explore the issue of business resilience to a crisis based on a literature review and a survey of Latvian entrepreneurs who have a certain experience in overcoming economic crises in recent years. The following seven categories have been developed in the course of qualitative content analysis of text fragments extracted from related research papers: 1) ability to return to the original state or to a state of new equilibrium after economic disturbance; 2) ability to adapt to changing circumstances with minimal destructive effects; 3) ability to accept risks in unexpected, complex and dangerous conditions; 4) ability to understand problems (difficulties, challenges) and overcome them; 5) ability to create new opportunities and realise innovative solutions; 6) ability to face the uncertain future with positive attitude, creativity, and optimism; 7) ability to learn from mistakes. In the survey of the entrepreneurs these categories were confirmed as being crucial elements of business crisis resilience; they were complemented with two more categories – 8) ability to make a competent team able to ensure financial viability of the company; and 9) ability to mobilize financial and non-financial resources and adapt them to the crisis situation.
Collaborative Convergence: Finding the Language for Trans-Disciplinary Communication to Occur (Invited Paper)
Leon, Cristo; Lipuma, James (United States)
https://doi.org/10.54808/WMSCI2022.01.147
ABSTRACT:
The proper study of communication from existing models opens the doors to scientific research that allows exploring language and coding as an integral part of effective communication to generate new models that include Trans-Disciplinary Collaboration. The authors analyze the factors of communication to describe the application of Trans-Disciplinary Communication.
This paper aims to define the communication processes and their relationship with language, considering their impact on Trans-Disciplinary Collaboration for innovation.
After conducting a systematic literature review the article explored the concepts of communication, functions, language, and Trans-Disciplinary Communication. This led to its application in the convergence research approach as presented in the Collaborative Convergence Pyramid.
Comparison of Geometrical Accuracy of Machine Tools and Manufactured Parts
Cep, Robert; Sadilek, Marek; Dvoracek, Tomas; Cepova, Lenka; Kusnir, Lukas; Sniehotta, Patrik; Kouril, Karel (Czech Republic)
https://doi.org/10.54808/WMSCI2022.01.71
ABSTRACT:
The presented article deals with experimental verification of geometric accuracy of CNC milling machine MAS MCV 1270 and its comparison with geometric deviations of a part manufactured on the same machine. The test board is designed to include through and non-through holes, internal and external circles, and small and large dimensions. It will be produced on the tested machine tool by two different cutting conditions to compare their effect on production. The evaluation will be performed using a Renishaw BallBar QC20 circular interpolation test held in three machine table positions and produced by test workpieces in the form of a plate with circular elements. The geometric deviations of the board will be checked on a coordinate measuring machine Wenzel LH 65 CNC X3M Premium. Attention will be paid to the dependence of the inaccuracies of the machine tool on the workpieces manufactured by it and to the possibilities of their estimation and definition.
Conditioning a Control Model Based on Backstepping Algorithm for a Fixed Wing UAV Including Flight Perturbances for Crops Monitoring
Tong, Carlos; Huaman, Samuel; Oliden, Jose; Kemper, Guillermo (Peru)
https://doi.org/10.54808/WMSCI2022.01.97
ABSTRACT:
This work proposes an adapted control model, based on a Backstepping algorithm, for position and attitude control of a fixed wing UAV, simulating its flight including perturbances for crops monitoring. Current works have focused on modelling the perturbances and how those approximately affect to controllers for this type of aircraft. The purpose of this work is to model and include perturbances that simulate an environment as closest to reality as possible and evaluate the performance of the controller in order to check if it is feasible to implement it on a real UAV. This paper will present the original model and contrast it with the modified models including the perturbances. A Gaussian model has been introduced to simulate the positioning sensors noise (from GPS and accelerometer), a Dryden Wind Model has been used to simulate the wind turbulence and a PWM model with low pass filters to simulate actuators noise. The results include tests that evaluate system performance taking into account multiple flight scenarios including takeoff, gliding and landing, with the previously mentioned perturbance models resulting in quantified errors. The position error values for takeoff, landing and gliding are between 4-5 m.
Emotion Detection by Image Analysis for Painter
Wu, Yung-Gi; Yang, Meng-Hua; Chen, Wen-Jing; Lin, Zi-Yu; Wu, Ke-Shang (Taiwan)
https://doi.org/10.54808/WMSCI2022.01.53
ABSTRACT:
Painting is an expression of visual psychological intentions, which presents inner thoughts and emotions to the outside. This expression and the displayed picture works have an initial diagnostic function and can be used as one of the emotional indicators of the painter. Because traditional interviews are often limited to the use of speech, or limited by cognitive functions; in contrast, painting does not depend on language, nor is it limited by age and education level, language loss, intelligence inadequate or children can do it, and they can express their thoughts through creation. Understanding psychological emotions are the beginning of mental therapy. The goal of this research is to use artificial intelligence and deep learning technologies to develop a system that can detect the psychological state of the painter. This paper collects pictures of those with weak communication skills and through image analysis methods captures color, shape, composition, pattern, and other information, with the help of psychologists and art professional professors for deep learning and recognition. In our system, people can detect emotions through the pictures drawn. If they have been in negative emotions frequently, they can seek medical assistance. We hope to help more people to be aware of their emotional status in an easy way.
Extension Mechanism of Overlay Network Protocol to Support Digital Authenticates
Matama, Kazushige; Goto, Ren; Nishiwaki, Chihiro; Naito, Katsuhiro (Japan)
https://doi.org/10.54808/WMSCI2022.01.81
ABSTRACT:
The spread of systems has shifted from being centered on the same network to communicating through various network environments. As systems in diverse network environments increase, zero-trust security is attracting attention. Achieving zero-trust security requires building security for all devices, making an effort to create it a challenge. Therefore, a communication framework is in need as a security measure. We have been developing CYber PHysical Overlay Network over Internet Communication (CYPHONIC) to realize secure end-to-end communication among devices. Conventional CYPHONIC supports only password-based authentication. However, it is necessary to support digital certificate authentication considering the use of IoT devices. In addition, verifying the legitimacy between terminals is necessary for communication between IoT devices. This paper introduces digital certificates based on Public Key Infrastructure (PKI), which is suitable for the extended authentication method of IoT devices. We confirmed that the proposed authentication system could work without the impractical overhead.
Gait Analysis Method Focused on Skeleton Pose Estimation Using Wheeled Gait-Training Walker
Nakayama, Hidehisa; Ogawa, Kazutoshi; Maruyama, Tsugito (Japan)
https://doi.org/10.54808/WMSCI2022.01.87
ABSTRACT:
We studied a gait analysis method focusing on skeleton pose estimation based on videos taken during gait-training with a wheeled walker for a person with a case history. For skeleton pose estimation, OpenPose was used. Thirteen gait parameters were designed from the extracted keypoints considering the opinions of some rehabilitation staff. As a result, we found a correlation between the load balance of a left-right elbow and the stability of a left-right posture. This suggests that the stability of walking can be evaluated by training with our developed wheeled walker.
Intelligent Unmanned Store Identification Systems Based on YOLOv4 and Siamese Network
Horng, Shi-Jinn; Huang, Pin-Siang (Taiwan)
https://doi.org/10.54808/WMSCI2022.01.30
ABSTRACT:
Manpower shortage is a global phenomenon which causes much trouble, especially retailers. In retail stores, the labors are the major cost. Unmanned stores could reduce labors and it can also increase the profit of retail stores. Deep learning is a well know technique for object identification, classification in high accuracy and can be implemented in real time. In this paper, we use multiple deep learning models to solve the problems often encountered in unmanned stores. Usually sensors are quite expensive. As for reducing the sensors overhead, only five cameras are used as sensors to build a low-cost unmanned store with high recognition accuracy; meanwhile, we also propose a method for calculating stacked goods as for using space effectively. Without checking counter, for checkout we combine deep learning model with Siamese network to instantly identify products purchased. As for preventing store from theft, a new architecture was proposed, which can detect possible theft from any angle of the store and prevent unnecessary financial losses in unmanned stores. All buying products were recorded in cloud server; the popularity of the product can be mined and used to reduce the stock of unpopular products and reduce inventory.
Islamic Banking characteristic elements and Products
Mehmood, Khalid; Oganisjana, Karine; Lace, Natalja (Latvia)
https://doi.org/10.54808/WMSCI2022.01.109
ABSTRACT:
This study analyses the characteristic elements and products of Islamic Banking (IB). The research method used in this study is qualitative content analysis. Qualitative data were gathered from scientific literature representing works by authors from both Muslim and non-Muslims countries. It was determined that the most significant characteristic elements of IB are interest-free banking system, profit and loss sharing (PLS) in all business transactions and being based on Shariah law, which could improve the intention of individuals and companies to purchase and make an investment in IB products and services. There are also some other characteristic elements, which have complementary nature that makes a more complete picture of IB. These characteristic elements are reflected in the products and services of IB.
Multidisciplinary Learning Using Online Networking in Biomedical Engineering (Invited Paper)
Hashimoto, Shigehiro (Japan)
https://doi.org/10.54808/WMSCI2022.01.133
ABSTRACT:
Multifaceted thinking is important to tackle global issues fora sustainable society. It is difficult to select useful information from big data with one-sided thinking. This article takes as an example the controversy related to “vaccines” and “masks” in pandemics. Online is useful under the control of infectious diseases. Face-to-face group meetings make it easy to interrupt group activities for individual activities. Online meetings are considering various ideas as an alternative to face-to-face meetings. The field of biomedical engineering includes faculties and students from diverse backgrounds. “Cross-cultural exchange” is also useful for multifaceted experiences. With the keyword “life support technology”, Japanese academic society and Thai university conducted online networking for information exchange. The academic society is working to encourage students. The university is developing new fields. Information exchange is expected to lead to further development in complex fields. It is expected to lead to the development of human resources who can deal with global problems.
On the Efficiency of Embedded GPUs for Spiking Neural Networks
Gómez Hurtado, Jonathan F.; Isaza Ramírez, Sebastián; Velásquez Vélez, Ricardo A. (Colombia)
https://doi.org/10.54808/WMSCI2022.01.23
ABSTRACT:
Researchers using Spiking Neural Networks today deploy their applications on Servers and Workstations with graphics processing units because of the restricted access to the specialized neuromorphic platforms. Nevertheless, using such conventional systems implies high energy and acquisition costs. Recently, we have seen the rise of low-cost platforms with small form factors, low energy consumption, and the necessary computational resources to develop artificial intelligence applications. These platforms, known as single-board computers, often integrate graphics processing units and other hardware accelerators; thus, they are feasible alternatives to traditional computer systems in critical energy consumption applications. This article presents insights into implementing a Spiking Neural Networks inference algorithm for handwritten digit recognition. We used a single-board computer with an embedded graphics processing unit as the target platform and compared its performance against a workstation. Our experimental results show that while single-board computer inference is 6x slower, it is 7x more efficient in energy consumption.
Optimal Plant Growth Through Thermo Mechatronic Analysis
Calderón, J. Alan; Tafur, Julio; Barriga, Benjamín; Alencastre, Jorge; Solano, Gonzalo; Urbizagástegui, Rodrigo; Lozano, John; Chancán, Marvin (Peru)
https://doi.org/10.54808/WMSCI2022.01.65
ABSTRACT:
This work is described as a proposal to apply modern control techniques and automation tools for optimal plant growth, also it was based on key agricultural strategies that were developed by ancient civilizations such as the Inca Empire. Many of them ancient techniques including the Inca engineering of andenes were forgotten or set aside through time. In this research, however, some of these key techniques are revisited to analyze and evaluate optimal plant growth using sensors and actuators that were not available in ancient civilizations. In addition, predictive and adaptive mathematical models are used for plant growth analysis of thermodynamic parameters such as temperature, humidity and potential of Hydrogen (pH). Furthermore, there were compared performances of sensors (electromechanical sensors) with designed sensors that were based in nanostructures, because of better study of the plant growth techniques.
Robot Arm Control System for Assisted Feeding of People With Disabilities in Their Upper Limbs
Arnáez, Daniella; Manco, Fiorela; Oliden, José; Kemper, Guillermo (Peru)
https://doi.org/10.54808/WMSCI2022.01.59
ABSTRACT:
This work proposes a robot arm control system for assisted feeding of people with reduced functionality in their upper limbs. It aims at improving their quality of life by helping users recover their independence when feeding, aided by the proposed system. Previous research presents solutions that often lack functionality to meet the user’s needs, such as a lack of emergency functions or the use of passive feeding techniques, due to the absence of adequate human-robot interaction. The proposed solution involves the design of an interface adapter between the robot arm and the spoon, for the correct transport and positioning of the food. Moreover, a PD-type electronic controller is implemented for the robot arm; it includes gravity compensation and trajectories defined from the detection of the user's position. Additionally, the system has two safety features: an emergency button and a proximity warning that triggers when undesired objects are too close to the robot arm. The proposed system was validated through position tests and interaction with people using rice and oatmeal. When carrying out the tests with rice, 80% success was obtained, while in the case of oatmeal, 98.9% success was achieved.
Second-Order Complex Systems
Sanchis, Eric (France)
https://doi.org/10.54808/WMSCI2022.01.1
ABSTRACT:
An implicit assumption generally made about complex systems is that they all consist of a very large number of interacting concrete elements leading to emergent behaviour whose nature and dynamics must be elucidated. Another category of complex systems consisting of few elements is presented but for which the boundaries are blurred and their interactions partially unknown: these complex systems with vague content are called second-order complex systems. Examples of vague complex systems are mental properties with uncertain content and existence, such as the concept of free will. The general methods and tools used in the study of classical complex systems are then no longer suitable and new specific instruments have to be developed. A method suitable for the study of a class of mental concepts called qualities is presented and applied to the property of free will.
Security Risks in Internet of Things (IoT): A Brief Survey
Alotaibi, Yazeed; Alrefaei, Ahmed; Ilyas, Mohammad (United States)
https://doi.org/10.54808/WMSCI2022.01.6
ABSTRACT:
While Emerging technologies have become one of the necessities of our daily life. Internet of Things (IoT) is at the forefront of these technologies. In IoT, almost everything that we use is connected to the Internet and can be accessed from anywhere and at any time. These devices can connect, collect data, and exchange it with each other. Despite remarkable developments in several areas, IoT is prone to significant challenges in protecting and securing IoT devices and the data they collect. It is essential to identify vulnerabilities of IoT devices, recognize security risks, detect cyber-attacks, and implement effective security measures to ensure the security of IoT devices and the data they gather. The application of artificial intelligence (AI) in detecting and preventing cyberattacks, is emerging as an attractive and effective approach to enhance IoT security. In this paper, we present a brief survey of IoT security aspects, challenges, opportunities, and some solutions.
Smart Back Meridian Relief Robot
Sun, Yi-Kai; Chiu, Chian-Song (Taiwan)
https://doi.org/10.54808/WMSCI2022.01.91
ABSTRACT:
This paper aims to design a back meridian relief robot for elderly and inpatients who are unable to move conveniently and have trouble to use massage tools. To this end, we have developed an assistive massage system, which is composed of a depth camera, 6-DOF robot arm, force feedback operating device, and OpenPose which is a human keypoint detection neural network. The system can be operated manually and automatically according to demands (such as the elderly who cannot straighten their back or people who do not treat Traditional Chinese Medicine). Since the medical care work can be shared by this system, this alleviates the shortage of masseuses and provides a better quality of life for the elderly and inpatients. The experiment results show that the assistive system can work well. In the future work, accuracy and user experience will be improved and bring more convenience to users.
Tasks Scheduling and Load Balancing on a Cloudlet System Using Qualcomm 410C
Kakade, Manoj Subhash; Karuppiah, Anupama; Mathur, Mayank; Parikh, Priyansh; Dhir, Raghav; Gokhale, Tejas (India)
https://doi.org/10.54808/WMSCI2022.01.36
ABSTRACT:
In the area of cloud computing and IoT, cloudlet is an evolving research paradigm. Cloudlet architecture and networking of individual nodes in a cloudlet is relatively a new area of work. As constrained devices such as SoCs form the basic building blocks of cloudlets it has become increasingly necessary to manage the limited resources available. In this paper, we propose one possible cloudlet architecture along with a centralized algorithm for the distribution of load among the various elements of the cloudlet.
The Digital Divide and Smartphone Reliance for Disadvantaged Students in Higher Education
Banerjee, Madhumita (United States)
https://doi.org/10.54808/WMSCI2022.01.11
ABSTRACT:
The digital divide as it pertains to information inequality among disadvantaged student populations in higher education is a pertinent problem, and has been further exacerbated by the increase in online learning due to COVID -19. This study explores Technological Access challenges of students at a small public midwestern university in the US that serves a disproportionately higher number of underserved and underrepresented students. Survey data from 535 undergraduate students indicate that a critical subset (n=61) of the sample who were first generation, low income, and non-white had significantly lower levels of technological access with respect to access to devices and Internet access, when compared to the larger sample. Additionally, nearly half of the sample used smartphones to access courses online. Educational implications on smartphone dependence and consequent digital divide is discussed to bridge the barrier for disadvantaged student groups. As technology induced online learning proliferates, addressing such gaps will be a step toward mitigating those inequities plaguing higher education.
The Impact of Convictions on Interlocking Systems (Invited Paper)
Henkle Langness, Teresa (United States)
https://doi.org/10.54808/WMSCI2022.01.139
ABSTRACT:
What gives a researcher the conviction that a project deserves the time spent collecting data—or does the data itself inspire the research? Conviction, in this context, refers to the confidence that the data will potentially inform or enhance the work in a given field (a system). While objectivity about the collection process itself requires integrity, the decision to apply for funding and move forward require this more elusive sense of commitment.
Discussions about integrity in research assume a universal standard, but only recently have studies examined the varied interpretations of “integrity”. More than a moral code, more than a lack of statistical bias, to most researchers, integrity may imply response to an undefinable sense of “truth” (Shaw, Satalkar 2018). Today’s constantly changing conditions remain fraught with decisions about topical relevance, questions of bias, and the caution not to act on outdated statistics that confirm our worst assumptions and confuse questions of “truth” (Rosling 2018).
This paper draws on research in systems theory, health informatics, environmental and behavioral science, and transdisciplinary education to define an analog for long-term research in which the data itself inspired the conviction to sustain a project with counterintuitive data. Once set in motion, the pattern of sustainability redefined expectations, thus launching parallel research—imitable patterns of hopeful action--in surrounding systems, each driven by new observations and statistics.
In these transdisciplinary examples, decisions to expand problem-solving contexts or hypotheses resulted from an analog built loosely on these steps: Statistics-gathering; Collaboration and interpretation of data; Conviction of a need to replicate the results, based on the data; Adaptation of the project (and the thinking) based on the data; Stakeholder actions based on confidence in the data; Long-term impacting one field; and finally, Mimicry or movement in parallel fields of research or institutions or locations, based on the results of the prior steps.
In the best-case scenarios cited, a project grounded in data affirms hope and leads to resilience or sustainability over time and across disciplines and interlocking systems (Goodall, 2021, Rosling, 2018, Ribeiro 2021, Langness 2020, Platt 2022).
The Impact of Regulation on the ESG Implementation – A Case Study of Latvia
Zumente, Ilze; Lāce, Nataļja (Latvia)
https://doi.org/10.54808/WMSCI2022.01.127
ABSTRACT:
The rise of corporate sustainability is strongly driven by regulations. With the growing body of sustainability-related laws and regulations, there is a surmounting pressure on the corporations to implement and report on their sustainability achievements. In addition, the corporations are often forced to react quickly causing the question of how comprehensive the sustainability strategies can be. This article aims to examine a new sustainability reporting regulation introduction by analyzing the case of Latvian state-owned enterprises (SOEs) in 2022. By surveying 21 SOEs exposed to a swift adaptation of sustainability reporting requirements, the study captures the results, challenges, and obstacles as experienced by the corporations.
The results of the study highlight the importance of gradual preparation, significant resource devotion and strategic management focus necessary to ensure meaningful sustainability process introduction and ESG reporting. In the case of non-unified reporting standards coupled with reporting obligations, SOEs face a risk of selective disclosure practices – a common form of greenwashing.
The Impact of the COVID-19 Pandemic on Purchasing Priorities of Generation X and Y Consumers
Oganisjana, Karine; Kozlovskis, Konstantins; Andersone, Ieva (Latvia)
https://doi.org/10.54808/WMSCI2022.01.115
ABSTRACT:
This paper presents the second part of the research conducted at Riga Technical University aimed to explore the impact of the COVID-19 pandemic on Generation X (Gen X) and Generation Y (Gen Y) consumer behavior and purchasing priorities. While the changes in consumer behavior have already been analyzed and published earlier [1], the changes in purchasing priorities which might have caused changes in consumer behavior, are going to be studied in this work. The choice of these two generations is not made randomly; on the contrary, it was an intentional selection among other consumers, as they make a very active and prominent part of buyers all over the world. The research methods used are comparative descriptive analysis, Chi-square test and qualitative content analysis of data collected in an electronic survey of respondents from Asia, Europe, and America. The findings show that statistically significant differences between the changes in purchasing priorities of both generations are found for: meat and dairy products, fruit & vegetables, non-alcoholic and alcoholic drinks, clothes & shoes, body care & cosmetics, entertainment (pay TV services, computer games, etc.) and transport. Altogether, purchasing priorities of Gen X consumers were impacted by the COVID-19 pandemic less than Gen Y consumers.
The Orienteering Problem: A Review of Variants and Solution Approaches
Kant, Ravi; Mishra, Abhishek (India)
https://doi.org/10.54808/WMSCI2022.01.41
ABSTRACT:
Orienteering Problem (OP) fetched great attention in recent years because apart from the NP-hard routing problems, it is applicable in various applications like mobile crowd-sensing, manufacturing, etc. OP intends to maximize the overall price collected from the places covered in the itinerary within a time-bound. In this paper, the latest improvements in NP-hard routing problems are discussed. Some variations of the traveling salesman problem (TSP), OP, and their recent solutions based on nature-inspired algorithms are explored. Finally, we present the future scope of the OP and its variants.
Transdisciplinary Communication as a Meta-Framework of Digital Education (Invited Paper)
Makhachashvili, Rusudan; Semenist, Ivan (Ukraine)
https://doi.org/10.54808/WMSCI2022.01.151
ABSTRACT:
Dynamic transformation of the knowledge economy, enhanced by Industry 4.0/5.0 development and rise of the networked society in the Digital Age, emergency digitization of all social communicative spheres due to pandemic measures have imposed dramatic changes onto transdisciplinary overlap in different areas of human knowledge and experience, induced by the cross-sectorial job market demands of university level education, curriculum design and learning outcomes.
The Covid-19 pandemic induced amplified digitalization measures in the higher education sphere. This end-to end digital shift in the educational processes (communication, content, outcomes and outputs, skills) heralded the introduction of meta-disciplinary dimensions of learning – digital, hybrid and, blended. These meta-disciplinary dimensions can be considered conduits of vertical (endocentric) and horizontal (exocentric) transdisciplinary of digital education as a communicative system.
Applied trans-disciplinary lens contributes to the solution of holistic modeling of processes and results of updating models and mechanisms of the highly dynamic communication system of education in the digital environment as a whole and its individual formats in the emergency digitization measures of different types.
13750 West Colonial Dr, Suite 350-408
Winter Garden, Florida 34787, USA
© 2022 International Institute
of Informatics and Systemics