This paper discusses the experience of adapting the 20 CAT MSc Computing Foundations module to the distance learning model using the virtual learning environment (VLE) Canvas at the School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen's University Belfast in response to the challenges brought to higher education setting by the pandemic impact. The module is a fundamental compulsory module with over 100 students in the part-time class studying the conversional MSc course in Software Development and had the added challenge of being introduced to a mature audience. This paper reflects on the experiences of learners and changes made to the curriculum to facilitate the move to online module delivery using the conceptual framework for effective online courses delivery, including course design, content delivery, session facilitation, assessment and feedback. Online learning has offered increased opportunity for choice and flexibility for students and to explore how technology can remove barriers in learning for the MSc students.The paper reviews the impact of different curriculum items and online educational activities starting with content delivery -both synchronous and asynchronous -and moving on to VLE Canvas discussion forums, ungraded formative quizzes, in-term formative assessment in the form of mock exam and, finally, to online summative assessment delivered on VLE Canvas for the postgraduate cohort studying part-time. Sustained level of student engagement was evidenced through statistics collected from VLE Canvas that also has helped to adjust the instructor's approach in teaching and become an integral part of successful module delivery. The paper reflects on student reviews of distance learning, e.g., how the students learn via online content delivery and proposes how the learning experience can be enhanced through their engagement with VLE. The paper focuses on how this effective learning environment contributes to education practice with a view what developments are worth retaining post-pandemic and what did not work well. It represents some practical examples of the applications and techniques that have been developed as a part of curriculum and widely used by students in learning computing subject, improving their computing skills and enhancing their learning experience at the EEECS.As the effects of COVID-19 continued throughout 2021, classroom environments evolved to meet new requirements and patterns in higher education sector, particularly the pattern of distance and online learning. At the start of the 2021-22 academic year many institutions remained fully remote, others took on hybrid environments, and some went fully back to campus. Adaptation of the MSc Computing Foundation module to a new model of distance learning has proved to be successful, and the module has become a distance module delivered fully online for the class size of 100+ in the 2021-22 academic year helping to cope with the new normal in post-pandemic times.
The problems of analysis and modeling of requirements while development of e-learning systems with feedback are considered. Subject area of requirements development is determined, choice of CASE-tools for creating models from generated subject area is explained. Visual models of functional requirements and user requirements in the form of diagrams showing the development of behavior and the logical structure of the system are developed. Simulation models explain the events and the corresponding response of the system and can represent its processes of interaction on more higher level of abstraction and allow to reveal incorrect, inconsistent, missing or redundant requirements. Consequence diagram, diagram of cooperation and state transition diagram are considered as analytical support of requirements development for intelligent e-learning systems.
Relevance. Ensuring functionally steady operation of dynamic objects' movement in the presence of abnormal situations is one of the most prospective research problems in the area of technical diagnostics and restoration of system operability. Use of intelligent control methods and algorithms for solving this scientific and technical task can significantly extend the functionality and improve the performance of control systems. The aim is the formation of an approach to determine the control effect that ensures the functional stability of the CNS in the presence of abnormal situations. Method. The concept of ensuring functionally stable control of dynamic objects' movement has been offered. Well-known diagnostic methods and tools have been systematized and on that basis new models and methods for deep diagnosis of the functional state of the control and navigation systems up to the reason of abnormality have been developed. Models and methods for multi-level parrying of the reason of abnormal situations through control over the diagnosis have been synthesized, they use such redundant resources as signal and parametric adjustment, reconfiguration of algorithms and commutation of equipment. Results. The results of the solution of a number of combined scientific and technical problems aimed at the multilevel ensuring of the functional stability of CNS have been presented. Conclusion. Analyses of tendencies of theoretical investigation and practical achievements in ensuring functionally steady control of CNS at occurrence of abnormal situations has been carried out. The concept of intelligent support of the functionally steady control of CNS has been developed. The concept is based on the principles of multilevel hierarchical diagnosis of CNS to the parried reason of abnormal situation, as well as on the situational approach to eliminate the consequences of failures in accordance with the level of its application. As a result of analysis and synthesis of known approaches to diagnosing the technical state of dynamic objects, the new models and methods for deep diagnosis of the CNS' functional state have been formed, that makes possible to determine the failure up to the reason of abnormality. Models and methods for multi-level parrying of abnormality through control over the diagnosis with the use of available intelligent on-board resources have been offered. A hardware-software complex for experimental research of theoretical positions have been developed, and conducted experiments have been verified the possibility of extending the functionality of the system to counter abnormal situations. As a result of conducted experiments in real-time scale, diagnosis and restoration of CNS' functional state during a time not exceeding 42.2%-48.4% of the transient time of the system in normal operation mode have been implemented.
У статті запропонована модель композиційного мікропрограмного пристрою керування з розділенням кодів, яка орієнтована на реалізацію схеми пристрою у базисі замовних матриць. Запропонована модель використовує представлення адреси вершини алгоритму керування у вигляді конкатенації кодів ОЛЛ та коду компоненти ОЛЛ. Такий підхід зменшує число входів і виходів схеми формування функцій збудження. Ключові слова: композиційний пристрій керування, матрична схема, операційний лінійний ланцюг (олл) , розділення кодів.
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