Computer Competence Research Articles

Methods of working with professional vocabulary in accordance with modern requirements to the educational process

Introduction. The updating of standards and the active introduction of distance and computer technologies cause the emergence of both new techniques and new relationships between the elements of the educational process. Purpose setting. The purpose of the study is to determine the compliance with the requirements, approaches and methods of working with professional vocabulary in the process of learning a foreign language in a technical university. Methodology and methods of the study. By analyzing the scientific and pedagogical literature and the results of observation, the connections and dependence of the success of fulfilling specific requirements for the educational process on the modern approaches and methods of learning a foreign language are revealed. Results. The parallel development of terminology in Russian and foreign languages, the computer competence of teachers and controlled working conditions in the electronic educational environment have the particular importance. As a part of the study, a survey was conducted, which confirmed the students' interest in working with Internet resources and tasks in an electronic educational environment. The teaching and controlling functions of the proposed methods are noted. They are directly related to the process of mastering professional vocabulary. A direct connection between specific approaches, techniques and the compliance with standards is demonstrated. The scientific novelty of the study lies in the description of the organizational and methodological system of working with professional vocabulary in a modern technical university. Conclusion. As a result, approaches and techniques have been identified and tested that allow improving the process of organizing and implementing work on the assimilation of professional vocabulary. The integration of activities to form the professional communicative competence of students in the programs of general education and special disciplines and the updating in the system of language training in connection with Russia's withdrawal from the Bologna process can be the advanced research directions.

ANALISIS BIAYA SATUAN OPERASIONAL NON PERSONALIA BERBASIS STANDAR KEBUTUHAN KOMPETENSI DI SMK

This research is a qualitative research with a Descriptive Observational Case Studies approach which aims to obtain the factual non-personnel operational unit cost average required for the Competency of Computer and Network Engineering Skills at SMK Negeri 2 Bone. The research samples were school principals, deputy principals, BOS treasurers, administrative staff, heads of computer and network engineering competency skills computer and network engineering (TKJ) skills competency teachers at SMK Negeri 2 Bone. Data collection techniques through interviews, observation, questionnaire techniques and documentation. The data analysis technique used is qualitative analysis of flowing or interactive analysis models. This model consists of three components of analysis, namely data reduction, data presentation, and drawing conclusions or verification. The results of the study show that the average non-personnel operational unit cost in fact required for the Computer and Network Engineering Skills Competency at SMK Negeri 2 Bone in 2023 is Rp. 168.409,300, - using the current year's calculations and the number of students is 103 people spread across Class X, Class XI and Class XII.

Modern Technologies in Foreign Language Teaching

Today’s education aims at preparing students for life and work in the 21st century, which requires gaining a number of skills and competences, including computer literacy and competence in foreign languages. Using ICTs may greatly improve the quality of the learning process. This article examines their role in foreign language instruction in the context of teaching representatives of generations Z and Alpha. It also discusses some current trends in educational politics in Bulgaria, and presents several online educational platforms and tools which have been used in ESL classes at Yoan Ekzarh Balgarski Secondary School, Shumen.

Anxiety and its Associated Factors among Bumiputera Students in A Public University During COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) is still infecting the world population even after mass vaccination programs are being conducted by most countries. Countries in the world have their own measures to curb and control the spread of the virus. Both the COVID-19 pandemic and measures of its control have negatively affected the mental health of the citizens. Among the affected citizens are the university students who are facing great challenges due to both pandemic and their academic lives. This study aimed to investigate anxiety and its associated factors among Bumiputera students in a public university. The online questionnaire was distributed via Google form from 13th August 2021 until 12th September 2021. Descriptive analysis was conducted to determine the anxiety levels among Bumiputera students. Independent-samples t-test or one-way analysis of variance (one-way ANOVA) was conducted to determine which socio-demographic characteristics (academic characteristics, psychosocial characteristics, open and distance learning (ODL) challenges, and COVID-19 related factors) were significantly associated with anxiety. The anxiety levels of Bumiputera students differed significantly by gender, state region of family residence, subject of study, and current semester status. In comparison to students who did not experience the situations, students who experienced unstable internet, an abundance of assignments, delays in submitting assignments due to internet access, shared laptops with family members, computer crash issues during ODL, insufficient computer competency, insufficient preparation for ODL, problems catching up on difficult online courses, difficulty of covering difficult online courses, inconducive environment for ODL, financial difficulties, and family commitment had statistically significant higher anxiety. Worries about COVID-19's impact on future career, barriers to interaction with lecturers, decreased social interaction, and depressive thoughts had a significant effect on anxiety. The findings also revealed statistically significant differences in anxiety across quarantine experience, close family infected with COVID-19, and sleep problems.

Research Trends and Issues of Engineering Design Process for STEM Education in K-12: A Bibliometric Analysis

The study performed a bibliometric analysis on research literature related to ‘engineering design process’ (EDP) that has emerged as a popular approach for STEM education in K-12. The literature comprised 142 journal articles published from 2011 to 2021. There are three objectives of the study. Firstly, to identify the leading research trends of EDP for STEM education that have developed since the release of A Framework for K-12 Science Education in 2011. This framework is pivotal as it paved the way for the establishment of the Next Generation Science Standards in the United States. Secondly, to discern possible research issues on the aforesaid topic by analyzing the research trends. Lastly, to identify publications and authors that have generated prominent citation impact. Since EDP is an emergent approach for STEM education, fulfilling these three objectives can be conducive in facilitating future researchers to build upon the past foundation of research. In this study, the bibliometric data was identified and exported from Web of Science Core Collection: a database with rich scientific literature. The results identified major research trends and issues on EDP pertaining to professional development, design thinking and computational thinking, STEM competencies, scientific inquiry, and gender gaps in STEM education.

Detecting downhole vibrations through drilling horizontal sections: machine learning study

During the drilling operations and because of the harsh downhole drilling environment, the drill string suffered from downhole vibrations that affect the drilling operation and equipment. This problem is greatly affecting the downhole tools (wear and tear), hole problems (wash-out), mechanical energy loss, and ineffective drilling performance. Extra non-productive time to address these complications during the operation, and hence, extra cost. Detecting the drillstring vibrations during drilling through the downhole sensors is costly due to the extra service and downhole sensors. Currently, the new-technology-based solutions are providing huge capabilities to deal intelligently with the data, and machine learning applications provide high computational competencies to learn and correlate the parameters for technical complex problems. This research presented a successful case study for developing machine learning models through a comprehensive methodology process for vibration detection using surface rig data through data collection, preprocessing, analytics, training and optimizing the models’ parameters, and evaluating the performance to have the best prediction results. Evaluating the models’ performance showed that obtained predictions have a great match with actual measurements for the different stages of training, testing, and even during models’ validation with unseen well data. Real-field horizontal drilling data was utilized to feed and train the models through different tools named radial basis function (RBF), support vector machines (SVMs), adaptive neuro-fuzzy inference system (ANFIS), and functional networks (FN) to auto-detect the three types of downhole vibrations (axial, torsional, and lateral). The study results showed a high correlation coefficient (higher than 0.9) and technically accepted average absolute percentage error (below 7.5%) between actual readings and predictions of the developed ML models. The study outcomes will add to the automation process of drilling operations to avoid many tools failure by comparing predicted vibrations versus downhole tools limits such as red zone and continuing drilling without interruption to the well total depth especially while drilling horizontal sections.

Computer Competency and Leadership Skills of School Leaders to the School Improvement

Computer Competency and Leadership Skills of School Leaders to the School Improvement

Profile and predictors of high school teachers' attitude and self-efficacy in utilizing ICT: an investigation from Indonesia.

This study investigated the relationship among several predictors that could influence high school teachers' attitudes and self-efficacy in utilizing ICT, such as length of computer use, computer competencies, computer access, computer training, and frequency of using computer programs. Quantitative study through descriptive and correlational design has been used to answer the hypothesis of this study. A total of 345 active high school teachers participated in this study. The correlational person product moment shows that all of the computer-related variables have a positive relationship with attitude and self-efficacy, although the relationships vary from low (p < 0.05) to high (p < 0.01). Hierarchical analysis showed that the predictors of attitude included computer competencies, computer access, training in computer, and level of using computer's program/apps variables; meanwhile, computer competencies, training in computer, and level of using computer's program/apps become good predictors of self-efficacy. This finding suggests that teachers should frequently access the computer and its app, have competency in using the computer, and have training or professional development in computer for improving teachers' attitudes and self-efficacy in utilizing and implementing ICT for the learning process.

Post-COVID-19 e-learning acceptance and its impact on community college students in Kelantan, Malaysia: A quantitative analysis

The purpose of this study is to explore the relationship between student motivation, student mindset, computer competency, and behavioural intention to continue using e-learning in the post-COVID-19 era among students at the community colleges in Kelantan, Malaysia. This quantitative study used a self-administered online survey questionnaire, and a convenience sampling method was employed to reach the respondents. Partial least square structural equation modelling (SmartPLS) 4.0 was then used for data analysis. The results of the current study reveal that community college students have a high behavioural intention to continue using e-learning in the post-COVID-19 era, and that behavioural intention positively correlates with student motivation and computer competency. However, there is limited evidence to support the relationship between student mindset and their behavioural intention to continue using e-learning in the post-COVID-19 era. Practically, the findings from this study can be an essential landmark to the management of Community Colleges in determining the direction of future learning in community colleges.

Retracted: Multimodality and Computational Intelligence-Enabled Intercultural Communicative Competence of College-English-Teaching Students.

[This retracts the article DOI: 10.1155/2022/4310982.].

Influence of Teachers Characteristics on their Attitudes towards the integration of ICT IN instruction Lower Primary Grades Curricula in the Middle Badia in Jordan

Objectives: The study aimed to find out the effect of teachers characteristics on their attitudes to wards the integration of information and communication technology (ICT) among teachers of the lower basic stage in the middle Badia in Jordan in teaching and learning.&#x0D; Methods: The study sample consisted of (210)male and female primary school teachers in the middle Badia schools in Jordan, they were chosen by the intentional method, and the data were collected through a questionair prepared by the researther , and the data were analyzed using both descriptive and inferential statistics.&#x0D; Results: The study proved that the characteristics of teachers (experience in teaching, computer competencies , and training on (ICT) are strong predictors of a teachers attitude towards (ICT). These characteristics have had an average impact on the integration of ICT in the teaching of the lower basic level courses in the middle Badia schools in Jordan, which supports the importance of this study and the training teachers need in order to acquire ICT skills and employ them in education.&#x0D; Conclusions: These results may help policy-makers and teacher to include (ICT) in pre-service and in-service teacher training.

MEMORY EFFECT ANALYSIS USING PIECEWISE CUBIC B-SPLINE OF TIME FRACTIONAL DIFFUSION EQUATION

The purpose of this work is to study the memory effect analysis of Caputo–Fabrizio time fractional diffusion equation by means of cubic B-spline functions. The Caputo–Fabrizio interpretation of fractional derivative involves a non-singular kernel that permits to describe some class of material heterogeneities and the effect of memory more effectively. The proposed numerical technique relies on finite difference approach and cubic B-spline functions for discretization along temporal and spatial grids, respectively. To ensure that the error does not amplify during computational process, stability analysis is performed. The described algorithm is second-order convergent along time and space directions. The computational competence of the scheme is tested through some numerical examples. The results reveal that the current scheme is reasonably efficient and reliable to be used for solving the subject problem.

Online Teaching: A Pleasure or Pressure for Higher Secondary School Teachers: A Case Study

The shutting down of educational institutions not only in India, but all over the world has forced them to adapt to a new normal of online teaching through digital platforms. The sudden transition has caused a chaos in the education sector in India. Many studies have been conducted on the issues faced by the students in online classes but not teachers. The higher secondary school teachers are a group who has to adapt immediately to the digital classrooms and resources since their students are at a stage of their prospective career choosing. The present study analyses the issues of teachers during online teaching who are suddenly pushed in to the digital environment. The case study method was adopted for the study with the support of a structured interview schedule. The sample of the study consisted of 50 higher secondary teachers in different disciplines and different schools across Kerala, India. Due to the pandemic restrictions the sample size has to be kept a minimum number. The study mainly focused on the problems faced by the higher secondary teachers during the online teaching. The findings of the study showed that the online teaching is a pressure for them rather than a pleasure experience. Major issues faced by the teachers are the lack of computer competency, technical issues such as lack of internet connectivity, students’ access to the digital devices and the occupational stress due to the disruption of work- life balance. Based on the findings, practical and social implications are analyzed and discussed.

Design Principles for Serious Games Authoring Tool

Serious game development involves a multidisciplinary team of teachers and computer scientists. But the difference in computer competencies between the team members is a recurring difficulty in this collaboration. Authoring tools, which provide interfaces adapted to users' competencies, are promising solutions to overcome this difficulty. However, existing authoring tools are either limited in their functionalities (not powerful) or too complex for non-computer scientists (not usable). A comprehensive set of design principles to address this limitation does not yet exist. The objective of this research was to define a set of design principles for the development of powerful and usable authoring tools. To achieve this objective, we first defined a set of design principles. We then developed an authoring tool corresponding to these principles. Finally, we carried out test uses of that tool through the development of twelve serious games. Results show that this authoring tool enabled the development of a wide variety of serious games (powerful) by teams with heterogeneous computer skills (usable). Design principles defined in this research integrate and extend previous works. They allow to overcome the dilemma between the power and usability of authoring tools. This could unlock new possibilities for collaborative approaches in serious games developments.

E-Learning and Sustainability of Pondok Schools: A Case Study on Post-COVID-19 E-Learning Implementation among Students of Pondok Sungai Durian, Kelantan, Malaysia

In almost every corner of the world, the COVID-19 pandemic disrupted daily life and work. During the pandemic, e-learning technologies were critical and were the ideal alternative to the traditional classroom setting. Throughout the COVID-19 pandemic, Malaysia’s education system placed heavy emphasis on online learning in connection with new technological advances as a mode of interaction to substitute direct conventional instruction. The aim of this research is to determine student acceptability of e-learning implementation following COVID-19 in a pondok school in Kelantan. This study is intended to ascertain the implications of students’ characteristics and technology-acceptance models as well as the moderation effect of familiarity with technology on their future behavioural intentions to use e-learning. This research used a quantitative technique and included 100 students from a pondok school in Kelantan. Self-administered questionnaires were used to gather data. Partial least squares structural equation modelling (PLS-SEM) was used in the data analysis. Outcomes from this study showed that students’ characteristics are positively affected by their motivation, mindset, and computer competency. Perceived ease of use and perceived usefulness positively affect technology adoption. On the other hand, economic deprivation negatively affects technology adoption. Furthermore, students’ characteristics and technology adoption positively affect the behavioural intent to continuously engage in e-learning in the future. However, familiarity with technology does not moderate the relationship between a student characteristics and intention nor between the technology acceptance model and a student’s intention to use e-learning.

Assessment of Postgraduate Online Medical Education During the COVID-19 Pandemic in Saudi Arabia: A Cross-Sectional Study.

PurposeThe COVID-19 pandemic has limited the traditional way of teaching due to contact restrictions and the trainees being the front-line providers of patient care in certain specialties. During the pandemic, many academic institutes have adopted various methods for utilizing online learning as an alternative to traditional teaching. Numerous studies reported the impact of these changes on medical education with varying results. As such, comprehensive assessments are necessary to evaluate the outcomes of this rapid transformation. The aim of this study was to provide qualitative and quantitative assessments of post-graduate online medical education during the COVID-19 pandemic in Saudi Arabia.Participants and MethodsIn this cross-sectional study, an online questionnaire was distributed among postgraduate trainers and trainees in Riyadh second health cluster. The questionnaire was used to assess the experiences, perception, coping, satisfaction and preferences of medical trainers and trainees towards online education during the COVID-19 pandemic.ResultsA total of 207 participants were involved in this study. While the sociodemographics differed between trainers and trainees, age was significantly associated with negative pre-pandemic online learning experiences. Stress was reported among both groups and was significantly correlated with the pre-pandemic computer and internet competency. Coping was reported to be easier by trainers compared to trainees. The overall perception of online learning was positive in 73% of the respondents. Perception significantly correlated with age, stress, coping and satisfaction (P < 0.0001). The majority of trainees were interested in a hybrid mode learning, combining traditional teaching with online education.ConclusionThere is a significant difference between trainers and trainees with regard to their experience of online education. Further studies are required to assess how to effectively implement online education in postgraduate training programs and identify strategies to overcome the reported deficiencies.

Zalety i wady nauczania zdalnego w czasie pandemii COVID-19 w opinii nauczycieli szkół w województwie wielkopolskim

Distance learning in all types of schools from March 2020 to the beginning of June 2021 (with a short break in September 2020) was forced by the COVID-19 pandemic. Previously, in Poland, this form of teaching was used sporadically, basically only for extra-curricular activities. The vast majority of teachers did not have any experience in this field. The large-scale introduction of new forms of distance learning and knowledge transfer and enforcement methods created a number of challenges and opened up new opportunities. The presented study attempts to identify the advantages and disadvantages of distance learning during the COVID-19 pandemic in the opinion of primary and secondary school teachers in the Wielkopolska region. The analysis was carried out based on empirical material obtained from questionnaires addressed to all teachers from the Wielkopolska region (703 questionnaires were received). The survey results allowed the diagnosis of positive and negative aspects of distance learning. Among advantages, teachers pointed to growing computer competencies and time and money savings due to no need to travel to work. In turn, as disadvantages were demonstrated, the lowering of teaching quality because of the lack of direct contact with pupils and health problems resulting from decreased physical activity and long-term staying at the computer desk. The teachers’ experience in identifying the advantages and disadvantages of distance learning is undoubtedly an excellent and reliable source of information that can be used in the future to improve the distance learning process. The applied approach allowed to obtain representative results, which may transpose into generalizations on the scale of the entire country.

Analysis of AI Ethical Competence to Computational Thinking

Artificial Intelligence (AI) is a driving force leading the intelligent information society. Major advanced countries have established AI into key policy projects and made continuous efforts to nurture and develop future talents through AI education. Unlike conventional software, AI can infer results through training with data, and if there is a data bias, it may cause social and ethical problems. These problems incur extensive damage to society, so ethical consideration is essential in terms of effectiveness and efficiency in implementing AI. Computational thinking aims to perform effective and efficient problem-solving to address real-life problems using computing technology such as AI. Therefore, ethical considerations in AI education can be regarded as an important element of computational thinking. This study aims to analyze the relationship between computational thinking and AI ethical competence from problem-solving using AI. To this end, evaluations and analyses of computational thinking and AI ethical competence were performed based on the evaluation results of the education program with the integration of AI and AI ethics. The analysis demonstrated that the group with relatively high computational thinking skills also showed high AI ethical competence. The findings of this study are expected to facilitate research on nurturing computational thinking through AI-integrated education with sufficient consideration of AI ethics. To increase the effectiveness of the AI-integrated education program, it is necessary to develop a mid-to-long-term education program to systematically examine the process-focused evaluation by systematizing observational and portfolio assessments.

A Firebug Optimal Cluster based Data Aggregation for Healthcare Application

Majority of Wireless Sensor Networks (WSNs) are made up of huge sensor nodes with minimum cost, processing, communication capability and limited sensing. Because sensor nodes have limited resources, it’s critical to enhance bandwidth utilization, network lifetime and minimize the data transmission. The term data aggregation defines the method of integrating the sensor data to minimize the data transmission. However, WSN-based healthcare applications face privacy, and security concerns. In this paper design of a Fire Bug Swarm Optimal Cluster-Based Data Aggregation (FSOCDA) in WSN has been presented which is a useful method for WSN to save energy and extend network lifetime. The efficient clustering is carried out using FSO, which is utilized to choose the CH from among various nodes in the cluster that serve as data aggregation nodes. By altering the network scale, the computational competence of the FSOCDA technique is compared to that of the non-aggregate approach. Further, the data aggregation method is helpful in healthcare applications in terms of data transferring from host hospital to other.

Assessment of Language Education Lecturers’ Computer and Digital Literacy Skills towards E-Learning

Computer literacy is just as important in our modern world twenty-first century, digital literacies effectively prepare learners to acquire develop and prepare for better job prospects. The aims of this study analyses assessment of language education lecturers’ computer and digital literacy skills towards e-learning. The study adopted descriptive research of the survey type. The population for the study consisted all lecturers in the department of Language Education Lecturers. Eight language lecturers were purposefully selected for the study. The instrument for data collection was an adapted questionnaire. Descriptive statistics were used to answer the research question with the aid of stastistical product and service solution (SPSS) version 20.0 at 0.05 level of significant. The findings indicated that some of these language education lecturers, though had some knowledge and skills in computers and digital literacy but their depth of applications of computer and digital knowledge and skills was limited or unsophisticated, and therefore did not meet the required computer and digital literacy skill competencies for language teaching and learning in the twenty-first century. This study concluded that computer, digital literacy and communication skills are compulsory requirements for twenty-first century education and job opportunities and Limited knowledge, skills and confidence in certain applications of some tools that are necessary and very relevant for effective use of them in teaching and learning. The study recommends that training in computer-assisted language learning should be included in language teacher education for both pre-service and in-service teachers.