Web-based Educational Systems Research Articles

Role of Artificial Intelligence in Higher Education- An Empirical Investigation

The importance of artificial intelligence (AI) is growing in all economic sectors and thus also in higher education. In recent years, there have been significant developments in this concept of "Artificial Intelligence in Education (AIED)". The purpose of this study was to find out how the concept of artificial intelligence can be applied to teaching and learning in higher education and the implications of the use of artificial intelligence in higher education. The impact of the development of technologies on learning is often studied on the methods and scope of learning and teaching. Artificial intelligence enables higher education services to become easily accessible with extraordinary speed, not only in the classroom but also outside the classroom. This report seeks to explore how AI will become an integral part of universities and seeks to examine its immediate and future impact on various aspects of higher education. The challenges of implementing AI in these institutes were also explored. As artificial intelligence (AI) research in education increases, many researchers in the field believe that the role of teachers, schools and leaders in education will change. In this regard, the aim of this study is to investigate which are the possible scenarios for the arrival of artificial intelligence in education and what impact it can have on the future of schools. In this research, it confirmed that artificial intelligence has been widely adopted and used in various forms in education, especially educational institutions. Artificial intelligence was initially implemented in the form of computers and computer-related technologies, moving to web-based and web-based intelligent educational systems, and finally with the use of embedded computing systems and other technologies such as humanoid robots and web-based chatbots teachers & tasks and assignments independently or with tutors. With these platforms, teachers could perform various administrative tasks such as grading and Work more effectively and efficiently and achieve higher quality in your learning activities. On the other hand, because the systems use machine learning and adaptability, the curriculum and content are adapted which improved uptake and retention, which improved the student experience and the overall quality of education.

A Web-Based Educational System for Teaching Compilers

A Web-Based Educational System for Teaching Compilers

Artificial intelligent based teaching and learning approaches: A comprehensive review

<span lang="EN-US">The goal of this study is to investigate the potential effects that Artificial intelligence (AI) could have on education. The narrative and framework for investigating AI that emerged from the preliminary research served as the basis for the study’s emphasis, which was narrowed down to the use of AI and its effects on administration, instruction, and student learning. According to the findings, artificial intelligence has seen widespread adoption and use in education, particularly by educational institutions and in various contexts and applications. The development of AI began with computers and technologies related to computers; it then progressed to web-based and online intelligent education systems; and finally, it applied embedded computer systems in conjunction with other technologies, humanoid robots, and web-based chatbots to execute instructor tasks and functions either independently or in partnership with instructors. By utilizing these platforms, educators have been able to accomplish a variety of administrative tasks. In addition, because the systems rely on machine learning and flexibility, the curriculum and content have been modified to match the needs of students. This has led to improved learning outcomes in the form of higher uptake and retention rates.</span>

Performance and Sematic Approach for Web Based Learning

In this era Use of Internet for education has a potential to change many aspects of our lives. number of web-based distance education systems has rapidly increased as a result of improvements in the Internet.Web based learning(WBL) decreases limitation of learning location with the mobility of general portable devices. Web-based teaching and learning is rapidly emerging as a predominant paradigm in the delivery of education in society. Internet is the ocean of knowledge. This ocean can be made available to all students as early as possible in their life. So Information Technology & related tools can be introduced in school education by using World Wide Web as education delivery medium. Keywords : WBL,CML,CAI

Applying Self-Optimised Feedback to a Learning Management System for Facilitating Personalised Learning Activities on Massive Open Online Courses

Web-based educational systems collect tremendous amounts of electronic data, ranging from simple histories of students’ interactions with the system to detailed traces of their reasoning. However, less attention has been given to the pedagogical interaction data of customised learning in a gamification environment. This study aims to research user experience, communication methods, and feedback and survey functionalities among the existing learning management system; understand the data flow of the online study feedback loop; propose the design of a personalised feedback system; and conclude with a discussion of the findings from the collected experiment data. We will test the importance of gamification learning and analytics learning, as well as conduct a literature review and laboratory experiment to examine how they can influence the effectiveness of monetary incentive schemes. This research will explain the significance of gamification learning and personalised feedback on motivation and performance during the learning journey.

Needs Analysis for a Web-Based Learning System to Develop Students’ Science Process Skills

The aim of this study was to explore the needs for the identification ofdesign elements of a web-based learning system that would help students develop their science process skills (SPS) to be used in science lessons. A descriptive survey method was adopted as the methodology of the study. Survey data was collected from a sample of 36 teachers and 196 middle school students (grades 5 to 8). The results of the study indicated that students had difficulty in learning science subjects. They thought that they could learn the subjects in the science course better with technological and educational support, and various teaching activities. Teachers stated that the web-based education system should meet the following requirements be simple and understandable, be relevant to real/everyday life, be an interactive system, which is rich in content and images, and include various multimedia elements such as simulations, animations, and 3D materials. On the other hand, many students stated that a web-based learning system that will help them learn the subjects in the science course should have course videos (educational videos), test/solved/sample questions, practice exams, accurate and reliable information. In addition, the students stated that this web-based learning system should be simple and understandable, have easy and rich content, be interactive and have a good technical infrastructure. Both teachers and students thought that “observing”, and “experimenting” skills would be improved the most in technology-enhanced learning environments. In addition, teachers stated that the benefits of developing students’ science process skills in real life would be “gaining a scientific perspective on events”, “awareness of the problem(s) around them”, “science literacy”, “enabling the student to access the information himself/herself”, “expanding perspectives on events”, and “able to solve the problems they encounter more easily”.

Sistem Informasi Wisata Edukasi Museum Daerah Sambas Dengan Deteksi QR Code Berbasis Web

The Sambas Regional Museum is a museum owned by the government of Sambas Regency, West Kalimantan, which acts as an educational center for the community. Data management in the museum still uses a conventional system, namely by recording it in a book as well as recording visitor data. So that information cannot be conveyed precisely and quickly and lacks attractiveness in its presentation. With the development of a web-based museum educational tourism support information system, it can facilitate the management of collection object data, visitor data, and the dissemination of information that can be accessed online. The design of the Sambas Regional Museum Educational Tourism Support Information System utilizes QR Code technology, which in its development uses the prototyping method and the Unified Modeling Leanguage design model. PHP as a programming language and uses MySQL as a database. The results of this study are web-based applications that can be used as education such as online recognition of museums and their collection objects, as well as facilitating museum managers in storing stores, returning collectibles, and visitor data by utilizing QR Code security so that it is hoped that this will make it easier to introduce the Sambas Regional Museum to society.

COVID-19 Response Resource Engagement and User Characteristics of the Wichealth Web-Based Nutrition Education System: Comparative Cross-sectional Study.

In response to the COVID-19 pandemic, Wichealth launched 4 information resources on the site's user landing dashboard page. These resources were used consistently during the period in which they were available (April 1, 2020, through October 31, 2021); however, only 9% (n=50,888) of Wichealth users eligible for inclusion in the study accessed at least one resource. User engagement with emergency response resources within the context of a web-based health educational tool has not been well investigated due to a paucity of opportunities and a lack of the ability to evaluate relevant users at scale. This investigation was carried out to understand if user characteristics and behaviors measured by the Wichealth web-based education system are associated with a participant's motivation, or lack thereof, to engage with the added COVID-19 resources. Sociodemographic characteristics were gathered from Wichealth users with at least one lesson completed and a complete user profile to identify which factors increase the likelihood of user access of any of the Wichealth COVID-19 response resources during the 19-month period between April 1, 2020, and October 31, 2021. A logistic regression analysis was conducted to determine the relative importance of all factors on the likelihood of a user accessing the COVID-19 resources. A total of 50,888 unique Wichealth users included in the study accessed the COVID-19 response resources 66,849 times during the time period. During the same period, 510,939 unique Wichealth users completed at least one lesson about how to engage in healthy behaviors with respect to parent-child feeding but did not access any COVID-19 resources. Therefore, only 9% of Wichealth users who completed a lesson during the time when COVID-19 response resources were available accessed any of the information in those resources. Users of the Spanish language Wichealth version, older users, those less educated, and users with prior Wichealth lesson engagement demonstrated the greatest likelihood of COVID-19 resource use. This investigation presents findings that demonstrate significant differences between Wichealth users that opted to access COVID-19-specific resources and those who chose not to during their web-based educational session. Reaching users of a web-based educational system with supplemental information may require multiple strategies to increase coverage and ensure the widest possible distribution.

Characterization of Errors in Retinopathy of Prematurity Diagnosis by Ophthalmologists-in-Training in Middle-Income Countries.

To characterize common errors in the diagnosis of retinopathy of prematurity (ROP) among ophthalmologistsin-training in middle-income countries. In this prospective cohort study, 200 ophthalmologists-in-training from programs in Brazil, Mexico, and the Philippines participated. A secure web-based educational system was developed using a repository of more than 2,500 unique image sets of ROP, and a reference standard diagnosis was established by combining the clinical diagnosis and the image-based diagnosis by multiple experts. Twenty web-based cases of wide-field retinal images were presented, and ophthalmologists-in-training were asked to diagnose plus disease, zone, stage, and category for each eye. Trainees' responses were compared to the consensus reference standard diagnosis. Main outcome measures were frequency and types of diagnostic errors were analyzed. The error rate in the diagnosis of any category of ROP was between 48% and 59% for all countries. The error rate in identifying type 2 or pre-plus disease was 77%, with a tendency for overdiagnosis (27% underdiagnosis vs 50% overdiagnosis; mean difference: 23.4; 95% CI: 12.1 to 34.7; P = .005). Misdiagnosis of treatment-requiring ROP as type 2 ROP was most commonly associated with incorrectly identifying plus disease (plus disease error rate = 18% with correct category diagnosis vs 69% when misdiagnosed; mean difference: 51.0; 95% CI: 49.3 to 52.7; P = .003). Ophthalmologists-in-training from middle-income countries misdiagnosed ROP more than half of the time. Identification of plus disease was the salient factor leading to incorrect diagnosis. These findings emphasize the need for improved access to ROP education to improve competency in diagnosis among ophthalmologists-in-training in middle-income countries. [J Pediatr Ophthalmol Strabismus. 2023;60(5):344-352.].

Artificial Intelligence for Web-based Educational Systems

Due to the global COVID-19 epidemic in the preceding two years, there has been a significant debate among different academics about how learners may be lectured through the web while maintaining a higher degree of cognitive efficiency. Students may have problems concentrating on their work because of the absence of teacher-student connection, but there are benefits to online learning that are not offered in conventional classrooms. The Adaptive and Intelligent Web-based Educational Systems (AIWES) is a platform that incorporates the design of students' online courses. RLATES is an AIWES that uses reinforcement learning to build instructional tactics. This research intends the aggregation and evaluation of the present research, model classification, and design techniques for integrated functional academic frameworks as a precondition to undertaking research in this subject, with the purpose of acting as an academic standard in the related fields to aid them obtain accessibility to fundamental materials conveniently and quickly.

Design and Implementation of an Online Learning Behavior Evaluation System Based on Data Mining

In order to study the problem that most of the existing Web-based distance education systems lack the monitoring of the learning process and the evaluation of students’ online learning behavior, a method of designing an online learning behavior evaluation system based on data mining is proposed, and an online learning behavior evaluation system is implemented. The system evaluates students’ online learning and gives formative evaluation results. The evaluation results are more accurate, and the recognition of teachers and students is more than 90%. The application of the system provides methods and means for objective, fair, and reasonable evaluation of students’ online learning and plays a guiding role for students in rationally arranging online learning; 99% of users said that the application of this system has a greater effect on promoting ordinary online learning help. The application of the system promotes students’ online learning to a certain extent, and the “learning behavior-effect” model constructed by the system has guiding significance for students to reasonably arrange online learning.

Application of C4.5 Decision Tree Algorithm for Evaluating the College Music Education

Music courses in colleges and universities have undergone significant changes as the new curriculum reform has proceeded. As a result, student evaluations in the classroom are changing, and a diversified evaluation paradigm is gradually developing. Numerous new and more effective teaching concepts and teaching methods have been developed for revitalizing the state with science and education. This interrupts the standard instructional activities’ backward teaching pattern. Online teaching has become more significant in the area of education as technology, science, and Internet technologies have advanced. Music instructors at universities and colleges are continually updating their teaching methods and utilize several techniques to provide in-depth instruction in the classrooms. To expand students’ enthusiasm and involvement while also developing their musical creative talents, a web-based information educational administrations management system has been widely used in many universities and colleges. This study utilizes the C4.5 algorithm to create a decision tree model for establishing an evaluation system of classroom teaching to enhance the quality. The proposed algorithm evaluates the model’s accuracy and practicability using performance information from 125 teachers’ music classroom teaching. Finally, it identifies the decision-making attributes that affect the teachers’ evaluation. The quality of classroom teaching is evaluated, and some useful suggestions are provided based on the experimental results, which can support college and university decision-making by motivating teachers to improve their classroom teaching quality.

Evaluation and Comparative Analysis of Semantic Web-Based Strategies for Enhancing Educational System Development

Educators have been calling for reform for a decade. Recent technical breakthroughs have led to various improvements in the semantic web-based education system. After last year's COVID-19 outbreak, development quickened. Many countries and educational systems now concentrate on providing students with online education, which differs greatly from traditional classroom education. Online education allows students to learn at their own pace and the system. As a consequence, we may say that education has become more dynamic. In the educational system, this changing nature makes user demands difficult to identify. Many instructors suggest using machine learning, artificial intelligence, or ontology to improve traditional teaching methods. Due to the lack of survey studies examining and comparing all of the researcher's semantic web-based teaching methodologies, we decided to conduct this survey. This paper's goal is to analyse all available possibilities for semantic web-based education systems that enable new researchers to develop their knowledge.

Web-Based Ideological and Political Education System Design and Application

Ideological and political education in colleges and universities is an important way to enhance students’ ideological and political quality and promote their all-around education. It plays an important and positive role in personnel training. To improve the effectiveness of online ideological and political education, this study builds a web-based ideological and political education system and adopts a three-layer system architecture including a data layer, an interface layer, and an application layer. In addition, the system is designed with multiple modules to guarantee the active operation of the complete system and combines algorithms to implement system resource recommendation and practical student-teaching functions. Finally, a control experiment is designed to examine the performance of the proposed web-based ideological and political education system. Results show that the system constructed in this study has certain practical effects. The proposed system can be used to strengthen the work of ideological and political education, truly achieve the correct guidance of ideological, political, and moral aspects, and improve the teaching quality of ideological and political education as much as possible.

Attitudes and interaction practices towards distance education during the pandemic.

The COVID-19 pandemic has affected educational institutions deeply and globally. In the course of the pandemic, countries around the world have tried to fill the gap that has arisen in traditional face-to-face education with emergency web-based distance education systems. This study aims to evaluate the possibilities and limitations of emergency distance education conducted during the pandemic period, based on university students’ approach-avoidance attitudes towards distance education and their distance education experiences. This study, using a mixed method, was designed with explanatory sequential design. The research was conducted at a state university in Turkey. Quantitative data were collected through an online questionnaire (n = 684), and qualitative data were collected from 14 student participants through semi-structured online interviews. In the quantitative dimension, it was determined that students’ avoidance attitudes towards distance education were stronger than their approach attitudes, and there were significant differences between student attitudes and various variables. In the qualitative dimension, it has been revealed that the interactions between both student-student and student-lecturer weakened with distance education during the pandemic period, but these interactions gained some new qualities. It was concluded that the interest towards the lessons conducted only through lecture notes weakened, the contents became functional at the point of clarifying the boundaries of the lessons, and increased the education load at the point of concentration. It was revealed that distance education in home conditions includes both opportunities and limitations in terms of interactions.

Dynamic Educational Recommender System Based on Improved Recurrent Neural Networks Using Attention Technique

ABSTRACT Most web-based educational systems contain some drawbacks, as compared to traditional classrooms. Particularly, it becomes difficult for teachers to guide students to choose an appropriate learning resource due to the large number of online learning resources. Meanwhile, student decisions make it more difficult to choose educational resources according to their circumstances. In this matter, the resource recommender system can be employed as an educational environment to recommend the educational resource advice for students, so that these recommendations can be coordinated to each student’s preferences and needs. This paper presents the resource recommender system as a combination of MLP, BiLSTM, and LSTM improved deep learning networks using the attention method. Compared to similar studies conducted using DBN networks and focus only on the near past interests and preferences of users, the proposed system provides higher accuracy and more appropriate recommendations considering current interests, in addition to the user’s long-term past interests. The proposed recommender system with accuracy of 0.96 and a loss of 0.0822 contains a better performance to recommend resources to students compared to other methods.

PEMANFAATAN E-LEARNING SEBAGAI MEDIA EVALUASI PEMBELAJARAN BAHASA ARAB DI MAN 3 HULU SUNGAI SELATAN KALIMANTAN SELATAN

Abstract Teaching and learning activities are formal activities, therefore an evaluation must be carried out even in a pandemic situation. One of the media that can be used by Arabic language teachers at MAN 3 Hulu Sungai Selatan in conducting evaluations for students is using e-learning. This study aims to determine the use of e-learning in MAN 3 Hulu SungaI Selatan as a medium for evaluating Arabic learning. The research design uses the form of research and development (R&D). This research is a qualitative research design with research and development to produce certain products, and to test the effectiveness of these products. The results of this research are E-learning is a web-based education system that uses internet facilities and electronic media to operate it, which is useful for facilitating educational activities. Based on its type, e-learning consists of instructor-led, learner-led, embedded e-learning, facilitated, e-coaching and telementoring. The benefits of e-learning are for educators, giving a positive impact on educators in carrying out their obligations in the world of education. For students, students can easily use study materials any time in repeating the subject. Students also can interact with the teacher any time, when the e-learning is accessed. The advantages of e-learning that can be accessed anywhere and anytime and the website pages can be used via PC, laptop or smartphone. The shortcomings of e-learning include reducing the intensity of communication and face-to-face between teachers and students as well as students and students, and teachers are required to further explore or master the learning system using electronic-based learning. Learning Arabic at MAN 3 Hulu Sungai Selatan Kalimantan Selatan uses e-learning media in the form of E-Learning MAN 3 Hulu Sungai Selatan. The purpose of e-learning is to make it easier for students to access evaluation questions in learning Arabic in an interesting way and at the same time being able to see feedback from the teacher to find out learning outcomes.

Short-term and long-term learners’ motivation modeling in Web-based educational systems

Purpose Short-term motivation encompasses specific, challenging and attainable goals that develop in the limited timespan. On the other hand, long-term motivation indicates a sort of continuing commitment that is required to complete assigned task. As short-term motivational problems span for a limited period of time, such as a session, therefore, they need to be addressed in real time to keep the learner engaged in the learning process. Similarly, long-term learners’ motivation plays an equally important role to retain the learner in the long run and minimize the risk of dropout. Therefore, the purpose of this study is to incorporate a comprehensive learner motivation model that is based on short-term and long-term aspects of the learners' motivation. This approach enables Web-based educational systems to identify the real-time motivational state of the learner and provide personalized interventions to keep the learners engaged in learning process. Design/methodology/approach Recent research regarding personalized Web-based educational systems demonstrates learner’s motivation to be an essential component of the learning model. This is because of the fact that low motivation results in either students’ less engagement or complete drop out from the learning activities. A learner motivation model is considered to be a set of perceptions and beliefs that the system has developed about a learner. This includes both short-term and long-term motivations of leaners. Findings This study proposed a framework of a domain independent learners’ motivation model based on firm educational theories. The proposed framework consists of two modules. The primary module deals with real-time identification of motivation and logging off activities such as login, forum participation and adherence to assessment deadline. Secondary module maintains the profile of leaners associated with both short-term and long-term motivation. A study was conducted to verify the impact of learners’ motivation model and personalized interventional strategies based on proposed model, using Systematical Information Education Method assessment standards. The results show an increase in motivational index and the characteristics associated with motivation during the conducted study. Originality/value Motivational diagnosis is important for both traditional classrooms and Web-based education systems. It is one of the major elements that contribute in the success of the learning process. However, dropout rate among online students is very high, which leads to incorporate motivational elements in more personalized way because motivated students will retain the course until they successfully complete it. Hence, identifying learner’s motivation, updating learners’ motivation model based on this identification and providing personalized interventions are the key for the success of Web-based educational systems.

The Role of Training Institutions and Academic Societies for the Training and Education of GI Fellows

The training and education of GI fellows are crucial issues for the training institutions and academic societies. Current circumstances about GI fellows are changing rapidly according to shortage of training period of the internal medicine residency program and growing up of multimedia and web-based education system. Recently, the education board of Korean Society of Gastroenterology revised the educational objectives considering 2 years program of GI fellows. We also need to develop a concrete education program through cooperation with related organizations including the training institutions and academic societies. All of these efforts should be made with the goal of making a good gastroenterologist, not just making an endoscopist.

Adaptive Help System Based on Learners ‘Digital Traces’ and Learning Styles

Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle ..., are commonly and well used in e-education (e-learning). Most of theTechnology Enhanced Learning (TEL) focus on supporting teachers in the creation and organization of online courses. However, in general, they do not consider individual differences of each learner. In addition, they do not provide enough indicators which will help to track the learners.
 In this paper, we investigate the benefits of integrating learning styles in the Web-based educational systems. Also we are interested in the use of interaction traces in order to address the lack of feedback between the learner and the teacher.
 Generally, we aim to offer a tool that allows the tutor and the instructional designer to interpret learner courses, in order to provide help as needed for each individual.