Expert Validation and Students’ Initial Field Trial Responses toward M-Write Academic Essay Writing Application

<p class="AbstractText">Proficiency in English academic writing is still a problem for many students. However, there are no such digital learning media that facilitates academic writing practices. Considering these problems, this research tried to develop an M-Write application, a learning media that combine metacognitive and process-genre writing exercises. This study aims to determine the feasibility level of M-Write as a website-based academic essay writing application. The method used in testing the feasibility of this product includes the alpha test and beta test. The alpha test was carried out by three English Education experts; each of them assessed the aspects of the content, language use, and design. While the beta test was carried out by 25 students of the Computer Science Faculty, UPN “Veteran” Jawa Timur. The data collection technique was done by using a questionnaire and interview. Data analysis was carried out using quantitative descriptive techniques. The results of this study indicate that the M-Write application reached appropriate criteria in terms of content, language use, and design aspects. The percentages of each of these aspects are 71.9%, 73.3%, and 71.9%. While the results of the applications usage assessment by students also showed that the application was appropriate to be used with an average percentage of 75.9%.</p>

About The Conference

6th International Conference of Computational Methods in Engineering Science (CMES’2021), 25-27 November 2021, Zamośd, Poland. The main objective of the CMES conference is the development of engineering sciences, numerical and experimental techniques, broaden experience, and good practices by representatives of the scientific community and industry. The conference allows the exchange of knowledge between different research domestic and foreign centres representing various fields of engineering science and technology. The organizers of the conference are Department of Thermodynamics, Fluid Mechanics and Aircraft Propulsion, Department of Machine Engineering Fundamentals and Mechatronics, Department of Materials Engineering (Mechanical Engineering Faculty of Lublin University of Technology), Department of Computer Science (Faculty of Electrical Engineering and Computer Science of Lublin University of Technology), Department of Organisation of Enterprise (Faculty of Management of Lublin University of Technology), Department of Renewable Energy Engineering and Department of Biomass and Waste Conversion in Biofuels (Faculty of Environmental Engineering of Lublin University of Technology), as well as Department of Airframe and Engine (Aeronautics Faculty of Military University of Aviation). TOPICS • Analysis of engineering processes • Application of computer programs in technology • Artificial and computational intelligence • Computational fluid dynamics (CFD) • Computer simulations of processes and phenomena • Finite Element Method (FEM) • Material properties and structure research methods • Production engineering and quality control • Technology management in energy acquisition processes List of Honorary Patronage, Organizing Committee, Scientific Committee are available in this pdf.

A Need Analysis for English Speaking and Listening Assessment Media with Web Responsive in Computer Science Faculty

This study aimed at finding and analyzing the information of the ideal speaking and listening online assessment media needed in Computer Science Faculty, University of Putra Indonesia YPTK. The study used descriptive and qualitative approaches. The data instrument was a questionnaire using Likert-scale and open-questions responded by 431 students and 17 English lecturers. The result of the study showed that the students need interactive and interesting assessment web responsive while the lecturers need web responsive media which enable them to assess speaking and listening online including scoring and sending feedback. The result of the study will also be used as a matrix for developing online assessment media.

Automatic Generation of Scripts for Database Creation from Scenario Descriptions

Aims: Database creation is the most critical component of the design and implementation of any software application. Generally, the process of creating the database from the requirement specification of a software application is believed to be extremely hard. This study presents a method to automatically generate database scripts from a given scenario description of the requirement specification. Study Design: The method is developed based on a set of natural language processing (NLP) techniques and a few algorithms. Standard database scenario descriptions presented in popular textbooks on Database Design are used for the validation of the method. Place and Duration of Study: Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka, Between December 2019 to December 2020. Methodology: The description of the problem scenario is processed using NLP operations such as tokenization, complex word handling, basic group handling, complex phrase handling, structure merging, and template construction to extract the necessary information required for the entity relational model. New algorithms are proposed to automatically convert the entity relational model to the logical schema and finally to the database script. The system can generate scripts for relational databases (RDB), object relational databases (ORDB) and Not Only SQL (NoSQL) databases. The proposed method is integrated into a web application where the users can type the scenario in natural or free text. The user can select the type of database (i.e., one of RDB, ORDB, NoSQL) considered in their system and accordingly the application generates the SQL scripts. Results: The proposed method was evaluated using 10 scenario descriptions connected to 10 different domains such as company, university, airport, etc. for all three types of databases. The method performed with impressive accuracies of 82.5%, 84.0% and 83.5% for RDB, ORDB and NoSQL scripts, respectively. Conclusion: This study is mainly focused on the automatic generation of SQL scripts from scenario descriptions of the requirement specification of a software system. Overall, the developed method helps to speed up the database development process. Further, the developed web application provides a learning environment for people who are novices in database technology.

Coding Boot Camps

College-educated women in the workforce are discovering a latent interest in and aptitude for computing motivated by the prevalence of computing as an integral part of jobs in many fields as well as continued headlines about the number of unfilled, highly paid computing jobs. One of these women's choices for retraining are the so-called coding boot camps that teach programming skills through intensive multi-week courses. This article reports on a qualitative research study focused on the Silicon Valley area of California. We used social cognitive career theory (SCCT) to investigate the larger context surrounding women entering computing professions through boot camp learning sites, including: the environment of a booming technology workforce, boot camps as learning settings , the characteristics of women who attend boot camps, how retraining at a coding boot camp influence women's computing self-efficacy and outcome expectations , and the performance attainments of women at boot camps. Interview data was collected from 14 women who had attended boot camps—first before graduating from the boot camp and again after six months in the workforce. To contextualize the computing ecosystem, we conducted single interviews with 6 boot camp organizers/curriculum developers, 7 industry hiring managers, and 14 university computer science faculty. To provide a contrast with women at boot camps, we interviewed 5 women who majored in computer science at the university and with 17 men who had attended boot camps. Structural data coding and analysis was done focused on the SCCT mechanisms of environment, person inputs, learning experiences, self-efficacy, outcome expectations, and performance attainments. Findings here demonstrate that training at a boot camp can be the catalyst for college-educated women to attain computing jobs and careers, although these entry-level jobs may be a compromise to the goal of a software development job and are unlikely to lead to a job at large, well-known, established technology companies.

The look at the various uses of VR

Virtual, augmented and mixed reality (VR, AR and MR) infiltrated not only gaming, industry, engineering, live events, entertainment, real estate, retail, military, etc., but as surveys indicate, also healthcare and education. In all these areas there is a lack of software development experts for VR, AR and MR to meet the needs of practice. Therefore, our intention at the Department of Computer Science, Faculty of Natural Sciences, Matej Bel University in Banská Bystrica, Slovakia, is to focus on the education and enlightenment of these areas. The aim of this article is to show the role of interactivity in different VR applications and its impact on users in three different areas: gaming, healthcare and education. In the case of one application of Arachnophobia, we also present the results of the research using a questionnaire.

STEM faculty members and their perceptions of mentoring: “I do not want to be a role model”

PurposeThe purpose of this case study is to explore the perceptions of science, technology, engineering and mathematics (STEM) faculty members toward mentoring undergraduates.Design/methodology/approachWithin the context of a student scholarship and faculty development project, funded by the National Science Foundation (NSF), STEM faculty members were interviewed at a small teaching-focused university in South Texas, United States. This research study utilized a qualitative case study approach based on semi-structured interviews with nine Mathematics and Computer Science faculty members. Transcripts were coded thematically, beginning with open coding and continuing with repeated rounds of comparison leading to the identification of four themes.FindingsFour themes were identified in the data: describing settings where mentoring occurs, identifying the tasks of mentoring, developing skills for mentoring others and inhabiting the identity of a mentor. These findings suggest that increasing faculty engagement and effectiveness in mentoring STEM students may be a matter of broadening the definition of mentoring and helping faculty members develop the identity of a mentor.Practical implicationsIn an effort to promote retention of students, specifically within STEM fields, many initiatives highlight the importance of faculty mentoring for undergraduate students. This research suggests that faculty members' perceptions of the role and structure of a mentoring relationship will shape this relationship and have an impact on student persistence and success.Originality/valueWhile most studies of faculty–student mentoring focus on the experiences of students, this study explored faculty members' perceptions of that relationship.

Designing an Open Source Virtual Assistant

A chatbot is a type of agent that allows people to interact with an information repository using natural language. Nowadays, chatbots have been incorporated in the form of conversational assistants on the most important mobile and desktop platforms. In this article, we present our design of an assistant developed with open-source and widely used components. Our proposal covers the process end-to-end, from information gathering and processing to visual and speech-based interaction. We have deployed a proof of concept over the website of our Computer Science Faculty.

Evaluating The Use of Information Technology in Computer Networks Lectures in The Era of Covid-19 Pandemic

The Covid-19 pandemic makes massive use of information technology (IT) in various fields. This study aims to evaluate the use of IT in Computer Networks lectures at the Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Riau in the era of Covid-19 Pandemic. This causal comparative study uses data from the results of student achievement in the Even Semester Academic Year 2019/2020. There are two lecture models given to students namely synchronous and asynchronous models. The use of the model is based on the type of lecture material provided. Furthermore, the results of student achievement obtained at the end of the semester are compared with the results of student achievement in the previous year that used physical face-to-face lectures. The results of this study indicate that there was an increase of 7.17% in the student achievement during the use of IT in lectures during the Covid-19 Pandemic with the effective synchronous lectures duration from 60 to 100 minutes.

Analysis The Effect of Entrepreneurship Education on E-Commerce Entrepreneur Motivation in Information Systems Students

This research aims at analyzing the effect of entrepreneur education toward students’ entrepreneur motivation especially e-commerce on system information students of computer science faculty. Dharmas Indonesia University. Dharmasraya, West Sumatera.Curriculum of system information gives computer science approach toward business management in order to graduate students are capable to get jobs related to system information field especially in implementing of computerizing on business management. E-commerce is one of business computer-based and internet technology that have been developed rapidly and well-known recently. On line business is one of e-commerce that can be reached by many people. This research used regression linear analysis to find the effect of profit, independent, freedom, personal dream, environment and mode toward entrepreneur motivation of e-commerce on system information students at Dharmas Indonesia University(UNDHARI). Keywords: entrepreneur, motivation, e-commerce.