Information Technology Science Research Articles

Preface

After successfully held for two consecutive years, 2020 3rd International Conference on Computer Information Science and Application Technology (CISAT 2020) was planned to be held on July 17, 2020. Due to the unexpected COVID 19 pandemic, that closed the world to national and international travel, the organization decided to hold the CISAT 2020 totally online. It was a challenge, not only to the organizers, but also to the participants who were delivering their speeches using videoconference tools, under different time zones.CISAT 2020 is to bring together innovative academics and industrial experts in the field of computer information science and application technology to a common forum. The conference will bring together about 180 leading researchers, engineers and scientists in the domain of interest from China, United States, Malaysia, India, Czech Republic. The primary goal of the conference is to promote research and developmental activities in computer information science and application technology and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world.List of General Conference Chairmen, Local Co-chairmen, International Technical Committee, Technology Program Committee, and Conference secretary are available in this pdf.

Preface

5G has been a hot and heated topic all the time. In order to provide a forum for experts and scholars to share and discuss the latest research on 5G, Guangzhou Association for Science and Technology, Guangzhou Internet Society, Guangzhou Computer Society, and AEIC Academic Exchange Information Centre co-organized 2020 International Conference on 5G Mobile Communication and Information Science(MCIS-5G 2020), which was successfully held on June 26, 2020. In light of the significant influence of COVID-19 and the implementation of worldwide travel restriction, MCIS-5G 2020 conducted the form of virtual conference to avoid physical personnel gatherings but to continue to bring together all scholars even when they are in different cities. MCIS-5G 2020 thus provided a flexible platform for academics and practitioners in the field of 5G Mobile Communication and Information Science to disseminate the state-of-the-art research and enhance the collaboration between each other.We are greatly honored to have invited Prof. Bingbing Fan from South China Normal University to serve as our Conference Chair, whose interested research areas lay in Teaching and development of big data management and application, cloud computing, network computing and security. The rest of the committee was composed of nearly thirty privileged scholars from different renowned universities and institutes around the globe.The conference model consists of three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the session of oral presentations, we invited a bunch of authors to briefly present their main themes and abstracts of the excellent papers, which were selected from the high-quality submissions to this conference. Each author was given 5-10 minute to present. Then in the keynote speeches, three keynote speakers were allocated 30-45 minutes to hold their speeches. Our beloved Conference Chair, Prof. Bingbing Fan was also asked to present his latest research. In addition, we had Prof. Zhihui Zhan, representing South China University of Technology, to give his talk on Intelligent computing. The last speaker, Prof. Zheng Gong from South China Normal University, whose research areas include Cryptographic algorithms, mobile Internet, Internet of things, also shared his marvelous presentation to all audience. Both the oral presentations and keynote speeches were conducted via Zoom, the popular online collaboration tool. Lastly, as the presentations triggered various questions and discussion, we created a WeChat group, the instant communication application, to add all participants to do Q&A, which lasted for about 30-45 minutes. The online platform enabled all participants to join this grand academic event from their own home.In order to vividly present the outcome of this conference, we compiled the proceedings of MCIS-5G 2020, which features the following topics but are not limited to: Mobile communication, 5G technology and standards, Mobile Internet applications, Cloud computing and information science, Computer technology and information science, Computers and blockchain technology, and other related topics. We ensure all the papers have been through rigorous review and process to meet the requirements of International publication standard.In the end, we would like to sincerely thank the Conference Chair, the distinguished keynote speakers, as well as all the participants. We also want to express our gratitude to the publisher for publishing the proceedings. May the readers could enjoy the gain some valuable knowledge from the proceedings. We are expecting you and more experts from all over the world to join this international event next year.Committee member, Conference Chair, Organizing Committee, Technology Program Committee are available in pdf.

Purposes and outcomes of information technology education towards sustainable national development

This study used survey research design to explore the purposes and outcomes of Bachelor of Science in Information Technology (BSIT) degree programs in the Philippines. Using purposive sampling of professors and students, this study identified the ability of IT education to meet its purposes by way of validating its current outcomes. The study also provided a clear indication of how the outcomes were perceived differently based on how the respondents experienced the actual IT education curriculum. Although the results show some favourable agreements among the respondents, statistical findings reveal underlying issues related to the implementation of outcomes-based IT education system in the country. This calls for the active role of higher education institutions (HEIs) offering BSIT programs to take another, more careful look at the entire curriculum structure of the degree program, as it serves as the foundation of effective and efficient IT education, which will lead towards sustainable national development.

CMOS Compatible High‐Performance Nanolasing Based on Perovskite–SiN Hybrid Integration

AbstractCoherent light sources in silicon photonics are the long‐sought Holy Grail because silicon‐based materials have indirect bandgap. Traditional strategies for realizing such sources, e.g., heterogeneous photonic integration, strain engineering, and nonlinear process, are technologically demanding. Here, a hybrid lasing device composed of perovskite nanocrystals and silicon nitride nanobeam cavity is demonstrated. SiN photonic crystal naonobeam cavities are fabricated on a solid substrate with significantly improved thermal and mechanical stabilities compared to conventional suspended ones. In addition, adding a poly (methyl methacrylate) (PMMA)‐encapsulation layer on top of the SiN can significantly boost the Q‐factor of the cavity mode. By dispersing perovskite nanocrystals as emitters in the PMMA layer, high‐performance coherent emissions are obtained in terms of lasing threshold, linewidth, and mode volumes. The work offers a compelling way of creating solution‐processed active integrated photonic devices based on the mature platform of silicon photonics for applications in optical information science and photonic quantum technology.

Research hotspots and tendency of intelligent manufacturing

<p indent="0mm">During the past few years, many countries have put forward their national manufacturing strategies. Although these strategies are proposed and developed under different backgrounds, their common objective is to achieve intelligent manufacturing, which has the potential to revolutionise manufacturing industry and is being nurtured through national projects such as “Industry 4.0” in Germany, “Made Smarter” in the UK, “Industrial Internet” in the US, and “Intelligent Manufacturing” in China, etc. These projects promote a new manufacturing philosophy to guide the development of industrial manufacturing in a digital, intelligent and networked global environment, as well as upgrade the traditional manufacturing to intelligent manufacturing. With taking advantages of artificial intelligence and advanced manufacturing technologies, intelligent manufacturing connects all manufacturing facilities and enables physical processes and information flows to be available when and where they are needed across holistic manufacturing supply chains, this will benefit optimizing manufacturing resources, improving product quality, system productivity and sustainability, and reducing costs. Intelligent manufacturing has attracted intense attention due to the broad application of artificial intelligence and information science technology in manufacturing industry. In this study, 1370 papers in intelligent manufacturing are taken as data sources, which are retrieved from the Web of Science Core Collection Database between 1987 to 2017. The present paper aims to reveal the development status, the number of documents by leading countries, hotspots and trends of intelligent manufacturing by VOSviewer tool. Based on annual outputs and growth rate of literatures, the initial development stage (1987−1997), the stable development stage (1998−2012) and the rapid development stage (2013−2017) of intelligent manufacturing are proposed. On the whole, to date, China takes a leading position out of more than 100 countries or regions, followed by America and England. With more than <sc>30 years</sc> of evolution, the connotation of intelligent manufacturing mainly goes through the process from digitalization to networking and then to intellectualization. In the recent research (since 2013), new enabling technologies for intelligent manufacturing have been developed, including Internet of Things (IoT), Big Data, Digital Twin (DT), Cloud Manufacturing, and Cyber-Physical System (CPS), which endow the manufacturing process with intelligence. For instance, IoT devices can communicate and interact with each other, and thus enable the real-time monitoring and dynamic control. Big data analytics together with AI can help to mine out potential rules, knowledge and patterns, in order to smart prediction, evaluation, optimization and decision-making. DT aims at constructing interactive virtual mirrors for physical assets and fusing both real and simulated data to give more insights. Cloud Manufacturing transforms manufacturing resources and manufacturing capabilities into manufacturing services, which can be managed and operated in an intelligent and unified way to enable the full sharing and circulating of manufacturing resources and manufacturing capabilities. These technologies can be combined with each other and greatly promote the innovation of manufacturing in design, production, operation and maintenance, etc. The findings presented in this study reveal the technical developing tendency and current hot topics in intelligent manufacturing and will facilitate scholars’ investigation in the related fields, a comprehensive taxonomy of Intelligent Manufacturing can also be developed through analyzing the results of this review.

A Tracer Study of Bachelor of Science in Information Technology(BSIT) Graduates of Nueva Ecija University of Science and Technology (NEUST), San Isidro Campus

It has been a practice of every higher educational institution to follow up on their graduates through tracer studies. This study generally aimed to trace the up–to–date status and employment of the BSIT graduates of Nueva Ecija University of Science and Technology, San Isidro Campus for the Academic Year 2016–2017 and Academic Year 2017–2018. The descriptive method of research was used with a modified questionnaire as the major data-gathering instrument. There were 249 total graduates but only 219 of them responded to the study which involved 122 males and 97 females. Descriptive statistics such as frequency counts, percentages, and ranking were used in this study. This study aimed to determine the general profile, educational background, professional examinations passed after college, employment profile, and reasons for unemployment of the unwaged respondents. Based on the tallied results, there is a high rate of employability with regular/permanent status among BSIT graduates. This means that the BSIT curriculum is aligned with the needs of the industry. The researchers have suggested an establishment of a partnership with the Civil Service Commission and other IT companies to assist the BSIT graduates in applying and passing eligibility for them to get the security of tenure and a higher salary.

Status of BSIT Program in Region 4B SUCs: Basis for Regional Qualification Framework towards ASEAN Connectivity

This paper aimed to determine the status of Bachelor of Science in Information Technology (BSIT) program among State Universities and Colleges (SUCs) in Mindoro, Marinduque, Romblon and Palawan (MIMAROPA) Region 4B, Philippines in terms of administration qualification, teacher competency, infrastructure, and student competency basis for regional qualification framework towards ASEAN connectivity. Thirty-seven (37) BSIT program heads/directors and teachers and 244 4th year BSIT students were participants of the study. Findings revealed that administration qualification among teachers was low which indicates that the teacher qualifications needs to be improved and strengthened. Findings also revealed that teacher competency is on the high extent which shows that teachers are competent to teach the assigned subjects. The infrastructures were proved as on the high extent which indicates that SUCs in MIMAROPA provides good services to the needs of the BSIT students. Lastly, the student competency revealed as high which shows that student acquire the basic knowledge and skills. However, there are some areas or skills that need to be enhanced to be eligible to ASEAN member countries. But as for local and national level, the BSIT program among SUCs in MIMAROPA are complaint with the basic standards. Based on the result, the proposed regional qualification framework to improve the teachers and students competencies is recommended to be eligible and skilled in the ASEAN Economic Community.

Employability tracer study of Information Technology Education graduates from a state university in the Philippines

Abstract This study aimed to determine the employability of Information Technology Education graduates from a state university in the Philippines. The researchers employed cross-sectional retrospective survey method. One-hundred seventy-seven out of 204 (or 86.76%) graduates of Bachelor of Science in Information Technology and Bachelor of Science in Computer Science from year 2015–2017 participated in this study. The data gathering instrument used by the researchers is the Graduate Tracer Study developed by the Commission on Higher Education. Findings reveal that 78.53% (or 139 out of 177) of the respondents are already employed. Moreover, 69.78% (or 97 out of 139) perceived that their first job is related to the program that respondents took up in college. It took one year to less than two years for the 28.06% of the respondents to land in their first job. It is also noteworthy that it took 1–6 months for 25.90% of the respondents to find their first job. When asked whether or not the curriculum they had in college is relevant in their first job, majority of the respondents (69.78%) declared that the curriculum of the program they had in college is indeed relevant. To further enhance the marketability of BSIT and BSCS programs and the employability of the graduates they produce, among the researchers’ recommendations is the periodic review of curriculum by academic leaders, alumni, and industry representatives to ensure that graduates are equipped with the necessary knowledge and skills required in the industry.

Tracer Study of Nueva Ecija University of Science and Technology Graduates (Atate Campus)

The essence of a higher education institution or university is to produce employable graduates. This study described the profiles of the graduates of batch 2018 and 2019 (Bachelor of Science in Information Technology, Bachelor of Science in Business Administration, and Bachelor of Science in Entrepreneurship) of NEUST Atate Campus in terms of Sex, Employment Status, Year Hired, and Monthly Salary. It also described the work location, and list of agencies where the graduates of NEUST Atate Campus were employed. The descriptive survey method of research was used in this study. A total of 118 graduates from NEUST Atate Campus which comprises of 65 BSIT (27 graduates of year 2018 and 38 graduates of year 2019), 24 BSBA (Batch 2018), and 29 BSEntre (Batch 2019) were surveyed. Based from the results of this tracer study, it can be seen that only more than half of the graduates were already employed. The employed graduates are working in their nearby cities/towns and few are working abroad. It is then recommended by the researcher to have a follow up study on the status of the employment of their graduates. The follow up study should include other information would be beneficial for the improvement of the programs and activities related to the graduates of their alma mater, Nueva Ecija University of Science and Technology. A study must include the employed graduates’ position in the agency, their challenging experiences while applying on their work, do their current work aligned with their graduated courses, and the like. This should also include an evaluation of the agencies on the graduates’ work attitude and behavior. Thus, evaluating the quality of graduates the university is producing yearly based on the university’s mission.

Combining predictive base models using deep ensemble learning

Since information science and communication technologies had improved significantly, data volumes had expanded. As a result of that situation, advanced pre-processing and analysis of collected data became a crucial topic for extracting meaningful patterns hidden in the data. Therefore, traditional machine learning algorithms generally fail to gather satisfactory results when analyzing complex data. The main reason of this situation is the difficulty of capturing multiple characteristics of the high dimensional data. Within this scope, ensemble learning enables the integration of diversified single models to produce weak predictive results. The final combination is generally achieved by various voting schemes. On the other hand, if a large amount of single models are utilized, voting mechanism cannot be able to combine these results. At this point, Deep Learning (DL) provides the combination of the ensemble results in a considerable time. Apart from previous studies, we determine various predictive models in order to forecast the outcome of two different case studies. Consequently, data cleaning and feature selection are conducted in advance and three predictive models are defined to be combined. DL based integration is applied substituted for voting mechanism. The weak predictive results are fused based on Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM) using different parameters and datasets and best predictors are extracted. After that, different experimental combinations are evaluated for gathering better prediction results. For comparison, grouped individual results (clusters) with proper parameters are compared with DL based ensemble results.

A Rapid Review of the Reporting and Characteristics of Instruments Measuring Satisfaction with Reference Service in Academic Libraries

Abstract&#x0D; Objective – The objective of this review was to examine research instrument characteristics, and to examine the validity and reliability of research instruments developed by practicing librarians, which measure the construct of patron satisfaction with academic library reference services. The authors were also interested in the extent to which instruments could be reused&#x0D; Methods – Authors searched three major library and information science databases: Library and Information Science Technology Abstracts (LISTA); Library Science Database (LD); and Library Literature &amp; Information Science Index. Other databases searched were Current Nursing and Allied Health Literature (CINAHL); Education Resources Information Center (ERIC); Google Scholar; PubMed; and Web of Science. The authors identified studies of patron satisfaction with academic library reference services in which the researcher(s) developed an instrument to study the satisfaction construct. In this rapid-review study, the studies were from 2015 and 2016 only. All retrieved studies were examined for evidence of validity and reliability as primary indicators of instrument quality, and data was extracted for country of study, research design, mode of reference service, data collection method, types of questions, number of items related to satisfaction, and content of items representing the satisfaction construct. Instrument reusability was also determined.&#x0D; Results – At the end of the screening stage of the review, a total of 29 instruments were examined. Nearly all studies were quantitative or mixed quantitative/qualitative in design. Twenty-six (90%) of the studies employed surveys alone to gather data. Twelve publications (41%) included a discussion of any type of validity; five (17%) included discussion of any type of reliability. Three articles (10%) demonstrated more than one type of validity evidence. Nine articles (31%) included the instrument in full in an appendix, and eight instruments (28%) were not appended but were described adequately so as to be reusable. &#x0D; Conclusions – This review identified a range of quality in librarians’ research instruments for evaluating satisfaction with reference services. We encourage librarians to perform similar reviews to locate the highest-quality instrument on which to model their own, thereby increasing the rigor of Library and Information Science (LIS) research in general. This study shows that even a two-year rapid review is sufficient to locate a large quantity of research instruments to assist librarians in developing instruments.

Preface

The previous 2018 International Conference on Computer Information Science and Application Technology (CISAT 2018) was successfully taken place on December 7-9, 2018 in Daqing, China. All accepted papers were published by Journal of Physics: Conference Series (JPCS) and have been indexed by EI/CPCI.It was a great pressure to welcome all the participants from different countries to the 2019 2nd International Conference on Computer Information Science and Application Technology (CISAT 2019) in Guangzhou, China during August 30-September 1, 2019. This three-day conference was supported by Nanjing University of Aeronautics and Astronautics, China.CISAT 2019 managed to serve as a platform for researchers, developers, engineers, academicians as well as industrial professionals from all over the world to present their research results in the field of computer information science and application technology. Professors from various prestigious universities in China and abroad were invited to deliver keynote talks describing the latest information in their respective areas of expertise. The conference helped those that are of interest to the topics to interact with the experts to get their advice and consult on technical matters, and collaboration opportunities and strategies.In the conference, a large number of papers were received, over 425 of which were accepted after a strict peer reviewing process to be published officially and submitted to EI Compendex and Scopus. The selected papers of the conference cover a wide range of computer science and application technology including intelligent system and control technology, big data search, mining and visualization, image processing and detecting, simulation and analysis based on algorithm and modeling, software engineering and application, etc.We would like to deeply acknowledge all the parties involved in making this conference successfully held: the conference chairs, organizing committee, speakers, presenters, authors and reviewers. We hope that we can grow positive impact on information technology and strengthen the researcher network.The Committee of CISAT 2019List of Organizing Committees, General Conference Chairmen, Local Co-chairmen, International Technical Committee, Technology Program Committee, Conference secretary are available in the pdf.

Programmed Practice Sheet (PPS) and Technology-enhanced Drills: Inputs to Instructional Material Development in Badminton

This study aimed at determining the effectiveness of a modified programmed practice sheet (PPS) and technology-enhanced drills as instructional methods in students’ basic badminton skills. Utilized as participants in the study were the 60 first year Bachelor of Science in Information Technology (BSIF) 1-A and 1-B P.E. 2 (Individual/Dual Sports) at Iloilo Science and Technology University, La Paz, Iloilo City, Philippines chose through matched-paired sampling. The badminton skill level data were obtained using the instrument on the Modified Badminton Performance Assessment Rubric [1]. This instrument consists of 6 basic badminton skills to determine the students’ skill level. The pre-treatment badminton skill level of the students in both modified programmed practice sheet (PPS) and technology-enhanced drills was the beginner; it shifted to excellent after the treatment. The students did not differ significantly in their pre-treatment badminton skill level when taken as an entire group and when grouped according to modified programmed practice sheet (PPS) and technology-enhanced drills. The students did not differ significantly in their post-treatment badminton skill level when taken as an entire group and grouped according to modified programmed practice sheet (PPS) and technology-enhanced drills.

The relationship between user interface problems of an admission, discharge and transfer module and usability features: a usability testing method

BackgroundThe admission, discharge and transfer (ADT) module is used in the hospital information system (HIS) for the purposes of managing appointments, patient admission, daily control of hospital beds, planning surgery procedures, keeping up-to-date on patient discharges, and registering patient transfers within or outside the hospital. The present study aimed to evaluate the usability of ADT module of a HIS through usability testing and assess the relationship between the number of user interface problems and usability features (i.e. effectiveness, efficiency, and satisfaction).MethodsThis descriptive analytical study was conducted in Shahid Beheshti hospital in Kashan, Iran, in 2017. The participating users were eight students in their last semester of a Bachelor of Health Information Technology Sciences degree. First, the users were introduced to the module functions in a two-hour session; ten days later, the users were asked to perform scenarios designed based on seven tasks and take notes of the problems encountered in performing each task after it was over. Effectiveness was measured based on the rate of completing the tasks, efficiency based on the time taken to perform each task, and satisfaction based on the users’ answers to a satisfaction questionnaire. The relationship between these three usability features and the number of problems noted was assessed using Spearman’s test in SPSS version 16.ResultsThirteen unique usability problems were identified from the perspective of the users. Effectiveness was rated as 58.9%, efficiency as 53.3%, and mean user satisfaction as 53.4 ± 10.6. The number of problems in each task had significant relationships to the effectiveness (P = 0.009) and efficiency (P = 0.016) scores. User satisfaction also had a significant relationship with the effectiveness (P = 0.043) but not with the efficiency (P = 0.230) scores.ConclusionsIn the view of the potential users, a HIS, used in more than 200 hospitals in a developing country, has several usability problems in its ADT module and its effectiveness, efficiency, and user satisfaction were not acceptable. The number of usability problems in the HIS user interface affected the effectiveness, efficiency and user satisfaction of the system.

The role of serendipity in the story ideation process of print media journalists

PurposeThe purpose of this paper is to build upon the studies of journalism from an LIS perspective by exploring and differentiating the purposive behavior of newspaper reporters from their serendipitous encounters with information that lead to new story ideas. This paper also provides a path toward pedagogical improvements in training the modern journalism workforce in being more open to creative story ideas.Design/methodology/approachThis study utilized semi-structured telephone interviews. Participants were recruited via e-mail after collecting contact information through the Cision database. The study sample was drawn from newspaper reporters who work at or freelance for the top 25 metropolitan newspapers in the USA, in terms of circulation size, based on data from the Alliance for Audited Media. A total of 15 participants were interviewed.FindingsThis paper provides insight into the story ideation process of journalists in that the study participants generally do not think about how they are coming up with story ideas as much as they are striving to place themselves in situations where, based on their experience and interests, they know they are more likely to encounter a good idea. Each encounter proved meaningful in some powerful fashion, which speaks to the historical importance of serendipity in achieving breakthroughs and discoveries in a wide variety of fields.Research limitations/implicationsThe sampling frame for this study was relatively small, representing 8 percent of the total number of working newspaper journalists from the top 25 newspapers in the USA, in terms of circulation size. Therefore, the findings are not generalizable to the entire population of journalists in this country.Practical implicationsThe findings point to the importance of a prepared mind in facilitating serendipitous episodes. In the case of journalism, that means developing a heightened news sense and cultivating routines where they place themselves in trigger-rich environments. Pedagogically, journalism education must include courses in creative storytelling to help train the modern newspaper workforce in an ever-expanding and competitive media landscape. These courses, ideally paired with techniques and models from the field of information science and learning technologies, could help train young journalists in methods that enhance their ability to identify, seek and pursue serendipitous stories.Originality/valueThis paper fulfills a need in journalism studies in finding variability in news routines by utilizing an interdisciplinary approach that combines journalism studies and library and information science models to probe how journalists encounter ideas incidentally. Previous research in this area has focused on how news consumers serendipitously encounter information. This paper takes a fresh approach to explore how creative ideas are encountered serendipitously in the construction of news.

Effects of Online Instruction to Student Motivation and Level of Participation in IT Network &amp; Security Course

Technologies have a great and positive impact on students’ learning. Innovation of technology in teaching is now widespread, especially in creating lessons that are more interesting. Online instructions were created to improve and enhance student motivation in learning selected topics in the IT Network and Security course at the College of Computer Studies at the University of Antique, Philippines. The subjects of this study were 46 students from the Bachelor of Science in Information Technology (BSIT). This study primarily aims to analyze the impact of online instructions on students’ learning.

50 Years of ITAL/JLA

Over five decades, Information Technology and Libraries (and its predecessor, the Journal of Library Automation) has influenced research and practice in the library and information science technology. From its inception on, the journal has been consistently ranked as one of the superior publications in the profession and a trendsetter for all types of librarians and researchers. This research examines ITAL using a citation analysis of all 878 peer-reviewed feature articles published over the journal’s 51 volumes. Impactful authors, articles, publications, and themes from the journal’s history are identified. The findings of this study provide insight into the history of ITAL and potential topics of interest to ITAL authors and readership.

Student Perception on the Extent of Use of Instructional Materials in an Open Distant Learning (ODL) Platform in Database Management System Course

Student centered pedagogical approach are already implemented in higher institutions in the Philippines. The course utilized the ODL platform technology as a tool in the delivery of the subject Instructional materials (IM’s) for fast and efficient delivery of the different lessons in relation to the course objectives. This study employed quantitative research approach using descriptive design.The respondents of the study are the 3 rd year Bachelor of Science in Information Technology(BSIT) students enrolled in the course Database Management System at Leyte Normal University. A total of 50 students who were identified to answer the survey questionnaire on the extent use of instructional material in teaching Database Management System course. The result shows that the respondents perceived that instructional materials are very useful with a grand mean of 4.50. This implies that the lessons included in the instructional material helps the student understand the topics in Database Management System. Hence, the student finds the instructional material and the ODL platform as engaging, encourages independent learning and effective.

Fuzzy Unordered Rule Induction Algorithm Application Basic Programming Language Competence: A Rule-Based Model

Objective: A rule-based model using Fuzzy Unordered Rule Induction Algorithm (FURIA) aimed to be developed in this study. Methods/Statistical Analysis: This study utilized a Machine-Learning algorithm called FURIA in developing the model. Graduates of the K to 12 programs in the Philippines who enrolled in the Bachelor of Science in Information Technology in a State University were the respondents of this study. Respondents were assessed using a self-made questionnaire in basic programming using Java programming language and validated both face validation and the internal reliability test with a Cronbach alpha value of 83. Furthermore, the steps performed in this study were the variable definition and data collection, data processing and cleaning, machine-learning algorithm application, verifying and interpreting the model, and reporting the model and synthesizing. Findings: This study revealed seven (7) rule-based models with a substantial rating in Kappa statistics and a very high accuracy rating in predicting the competencies by class. Applications/ Improvements: The researcher believed the need to unveil the competence of the Senior High School graduates in the K to 12 programs of the Department of Education in the Philippines in basic programming, which aimed to retool the type of teaching strategies to fit the competencies of the student. Keywords: Basic Programming, Competence, Data Mining, Fuzzy Algorithm, Fuzzy Unordered Rule Induction Algorithm (FURIA), Machine Learning, Rule Model

Study of Construction of Excellent-course

With the rapid development and wide application of information science and network technology, educational informationization and networking has become an inevitable trend, followed by major changes in the course content system and teaching mode. Based on the investigation and analysis of the construction mode and application status of elaborate resource sharing courses, the paper puts forward corresponding recommendations for the sharing, learning and application of resources in the construction of excellent courses.