Learning In Education System Research Articles

Smart Autism Spectrum Disorder Learning System Based on Remote Edge Healthcare Clinics and Internet of Medical Things

Autism spectrum disorder (ASD) is a brain disorder causing issues among many young children. For children suffering from ASD, their learning ability is typically slower when compared to normal children. Therefore, many technologies aiming to teach ASD children with optimized learning approaches have emerged. With this motivation, this study presents a smart autism spectrum disorder learning system based on remote edge healthcare clinics and the Internet of Medical Things, the objective of which is to offer an online education and healthcare environment for autistic children. Concave and convex optimization constraints, such as accuracy, learning score, total processing time with deadline, and resource failure, are considered in the proposed system, with a focus on different autism education learning applications (e.g., speaking, reading, writing, and listening), while respecting the system’s quality of service (QoS) requirements. All of the autism applications are executed on smartwatches, mobile devices, and edge healthcare nodes during their training and analysis in the system. This study presents the smartwatch autism spectrum data learning scheme (SM-ASDS), which consists of different offloading approaches, training analyses, and schemes. The SM-ASDS algorithm methodology includes partitioning offloading and deep convolutional neural network (DCNN)- and adaptive long short-term memory (ALSTM)-based schemes, which are used to train autism-related data on different nodes. The simulation results show that SM-ASDS improved the learning score by 30%, accuracy by 98%, and minimized the total processing time by 33%, when compared to baseline methods. Overall, this study presents an education learning system based on smartwatches for autistic patients, which facilitates educational training for autistic patients based on the use of artificial intelligence techniques.

The Role of AI-Based Learning Systems in Enhancing Biology Education for Secondary School Students: Impact on Performance, Engagement, and Retention

The Role of AI-Based Learning Systems in Enhancing Biology Education for Secondary School Students: Impact on Performance, Engagement, and Retention

Cultivating STEAM teachers: A regional resource‐based model for normal university students in Chongqing

AbstractThe cultivation of innovative talents with interdisciplinary skills is a central goal of STEAM education, and the success of STEAM education hinges on the availability of qualified STEAM teachers. This study explores how to integrate STEAM awareness, understanding, and curriculum development into the teacher education and major course learning system of normal university students in Chongqing, China. Drawing upon the region's rich resources, the study proposes a three‐level STEAM teacher training model. At the macro level, the model advocates for a collaborative educational ecosystem involving government, schools, businesses, and society. At the meso level, it presents a 4‐year curriculum model that progressively cultivates preservice teachers' interdisciplinary thinking, integration skills, and pedagogical competence. At the micro level, the model explores effective pedagogical methods and strategies for implementing STEAM projects in real‐world teaching scenarios. This regional resource‐based model offers a “Chongqing plan” for training STEAM teachers and ensuring a sustainable supply of innovative talents to support the region's economic and social development.

GAFEE: 5 Steps to Teach Effectively

This paper presents GAFEE instructional design: a new proposed model that integrates the principles of gamification with the 5E instructional model to increase the levels of motivation of the students. The GAFEE model blends the five phases of 5E learning model Engage, Explore, Explain, Elaborate, and Evaluate with a game-based approach that increases the level of interactivity. This model comprises seven constructs: According to the nature of the problem and the design principles, we have Goal-Oriented Engagement, Autonomous Access and Exploration, Feedback-Enhanced Explanation, Challenge-Driven Elaboration, Collaborative Evaluation, Iterative Design and Technological Synergy. Each of the identified constructs is backed up by a literature review proving the efficiency of the given construct. An example of the implementation of the GAFEE model is best described in a fourth-grade English course where the students’ vocabulary, grammar, and speaking skills are enhanced. These points stress the positive outcome of the application of the game environment to the educational process, motivation, individual learning, and feedback systems. Lastly, the paper highlights on the effectiveness of the proposed GAFEE instructional design to alter the instructional practices and point out the areas of future research in gamification of education.

Analysis of Effective Use of Interactive Video in International Chinese Education

With the passage of time, many colleges and universities around the world have set up online classes and integrated the course teaching assistance system into them. With the innovation of science and technology, the use of interactive video in offline teaching is becoming more and more common. By integrating it into the offline learning education system, students’ enthusiasm in class can be significantly improved, and it can also be widely used in international Chinese classes. Therefore, this paper takes international Chinese education as an example. By studying the overall situation of international Chinese classrooms, teachers discuss the operation mode of interactive video in offline teaching, and put forward relevant suggestions, hoping to help international Chinese classroom teachers improve teaching quality and consolidate students’ academic performance. By introducing new teaching concepts, teachers’ teaching methods can be greatly improved, and at the same time, students’ active participation can be promoted, making it easy and practical to conduct a robust assessment of students’ learning progress.

Evaluating the Impact of AI-Personalized Learning Systems in Higher Education; Examining how They Affect Academic Performance across Different Age Groups at Kumasi Technical University

Revolutionizing education by introducing innovative methods to enhance student experiences has birthed Artificial Intelligence (AI). This article provided an in-depth overview of AI's educative and transformative influence, particularly concentrating on learning outcomes for students of all ages at Kumasi Technical University. AI amalgamation in education has enabled modified learning experiences tailored towards each learner's unique needs. The purpose of this study sought to investigate the effects of AI-personalized learning systems on academic performance across different age groups in higher education institution. The researcher employed a quantitative research design, using a face-content verified structured questionnaire to collect data from respondents, with expert consultation. Forty-five students from Kumasi Technical University's engineering and procurement departments were selected using the convenience sampling technique. The findings provided valuable insights into the use of AI-driven personalized learning platforms in higher education. The data revealed higher adoption rates among undergraduates compared to postgraduates, and a greater likelihood of use among men than women, highlighting gender disparities and potential areas for targeted support. The predominant use of AI tools by younger students demonstrated their comfort with emerging technology, while the low participation of older students suggested potential adoption barriers. Statistical analyses (Pearson correlation; (r (43) = 0.166, p = 0.265) and linear regression; (R^2 of 0.03), (F (1, 45) = 1.25, p = 0.265) indicated that age did not significantly correlate with academic success in the context of AI use, despite extensive integration of AI learning systems in academic courses. Contrary to expectations that younger students' engagement with AI tailored learning systems would positively impact their academic performance compared to those over thirty, no significant correlation between age and academic achievement was found. These findings underscore the need for further research into other factors that may influence the effectiveness of AI learning systems.

Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy

Assessment of artificial intelligence-based digital learning systems in higher education amid the pandemic using analytic hierarchy

Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System

In Self-Directed Learning Systems (SDLS), suggesting specific exercises to students after viewing educational videos is crucial, which promotes the integration of learning resources and improves learning efficiency. Given that exercises and educational videos are distinct learning resources, suggesting exercises centered on educational videos containing knowledge concepts is referred to as cross-type recommendations. Traditional cross-type recommendation methods usually separate data representation and recommendation tasks, which hampers effective knowledge transfer and information fusion. Furthermore, educational resources frequently feature an irregular distribution of information, posing a significant challenge to existing models in extracting crucial information. Besides, due to the inadequate data, the cross-type recommendation system needs help in developing a robust model. To address these challenges, we propose a Multi-task Information Enhancement Recommendation (MIER) Model in this paper. This model provides a comprehensive recommendation capability by integrating resource representation and merging recommendations. Multi-task learning improves the capacity to integrate information and transfer knowledge. Then, we propose an Information Enhancement Encoder (IEE) module that utilizes the attention mechanism to enhance the model’s ability to extract essential information from educational videos and exercises. Finally, to address the problem of inadequate data, we design a fusion structure that incorporates the concept knowledge graph as expert information into the model. To evaluate the effectiveness of the MIER, we compare it with other models on both predicting concepts and recommending exercises task. The corresponding results demonstrate that the MIER outperforms all the other models. We comprehensively evaluated the MIER model’s performance across a range of datasets varying in labeled data quantity. The findings demonstrate that the model consistently achieves outstanding performance and exhibits robustness, even under conditions of limited label availability.

Cluster Analysis and Network Visualization of Biology Education Research in Indonesia: A Bibliometric Analysis

This study aims to explore the development of BER in Indonesia from 2014-2023 on the Scopus database. Current studies illustrate that the number of publications on biology education has increased in recent years. This trend is likely to continue, as evidenced by the increasing number of publications. A total of 253 papers from the Scopus database were analyzed using VOSviewer software. These findings reveal that BER in Indonesia has grown rapidly in recent years. Zubaidah is the most prolific author, and Universitas Negeri Malang is a leading institution in the progress of BER. The most studied research topics in the last three years are education computing, learning systems, learning processes, and e-learning. The learning topics are plants (botany), animals, biotechnology, and genetics. We also highlight that many topics still get less attention, such as technology-based learning in biochemistry, algae, and protists. We hope this study can illustrate the current status of BER, so that it can help to map the direction of future research in Indonesia.

The Role and Utilization of Information and Communication Technology-Based Learning Systems in Education

In the world of education, information and communication technology in general aims to ensure that students understand information and communication technology tools in general, including computers, and understand information, meaning that students recognize the terms used in information and communication technology and especially commonly used computers. Apart from helping students in learning, the role of information and communication technology in learning also plays a quite influential role for teachers, especially in utilizing facilities to enrich their teaching abilities. The implementation of education and learning will be more effective if it is supported by the application of communication theories and concepts. In learning, which is the heart of education, you will find a system consisting of components that influence each other as discussed in the communication models sub-chapter.

Adaptive Learning Systems: Exploring Personalized Paths in Vocational Education

This research endeavors to delve into the application of adaptive learning systems within the context of vocational education, with the aim of elevating students academic performance and engagement. Adaptive learning systems represent an educational technology innovation that harnesses the power of artificial intelligence and machine learning to furnish students with personalized learning pathways and real-time feedback. The study encompasses the design and implementation of the system, methods for data collection and processing, as well as data analysis techniques. Through a diverse array of data analyses, we scrutinize the impact of adaptive learning systems on students' academic achievements and levels of engagement. The research outcomes elucidate the latent affirmative effects of adaptive learning systems in vocational education, endowing students with a more flexible and personalized learning experience.

Overcoming Distance Education Challenges in Nigeria: A Call for Collaborative ICT Integration

This article looks at the benefits of Distance Education (DE) or Open Learning Systems as the means of providing education that meets the growing demand for education on the account of the financial concerns and changing priorities. The historical development of communication methods is one of the factors that shaped the education sector considerably and now we have the open learning systems as a popular way of. The aim of the establishment of DE as highlighted by scholars is to create another parallel system which can be integrated with formal education. Other objectives include promoting flexibility, constructing an egalitarian society, facilitating in-service and lifelong education and utilizing communication technology for wider outreach. ICTs hold the key to global educational initiatives, providing an environment of collaboration and disseminating ideas in the most effective manner. Although ICTs belong to one of the most transformative technologies, Nigeria is faced with challenges of integration of ICTs, among them deficiencies in ICT infrastructure. Distance education has proved to be successful for the purpose of widening educational chances but Nigeria faces problems like low ICT penetration, erratic power supply, and meagre economy. It is noted that ICTs play a critical role in the development of distance education in Nigeria and that this research stresses the need for collaboration among all relevant stakeholders— government, private companies, and international organizations—to enhance ICT infrastructure, implement international cooperation frameworks, and integrate ICT literacy and use into academic courses. Keywords: Distance Education (DE), Information and Communication Technologies (ICTs), OLS, Education Issues, Flexibility in Education, ICT Infrastructure, and Inclusive Learning.

Imparting Value Based Education Through Gurukul Methodology for Achieving Sustainable Development Goals

In the conditions of a global crisis value education represents the most efficient way of forming a social and intellectual basis for the achievement of sustainable development goals and coevolution ideas. Due to mounting problems related to sustainable development the need of value education for sustainable development continues growing. The proposed research will explore contemporary state of education and suggest possible ways for imparting value-based education through Gurukul methodology for achieving sustainable development goals.
 Value education for sustainable development is regarded as a way of forming of new consciousness and behaviour through which human development course should be adjusted.
 The Gurukul education system is an immortal part of our country’s rich traditions and cultural heritage. It is indeed one of the most valued and famous education and life learning systems practiced in ancient India.
 A Gurukul is a residential education system in India which dates to 5000 BC. Under this system, all are considered as equals and no fee is charged. The Shishyas or students are taught life lessons and a cultured way of life in natural surroundings. Also, humanity, love, peace and discipline are essential components of the Gurukul education.
 Gurukul education which focuses on applied knowledge, practical learning and personality development. It also emphasizes on thoughtfulness, respect for planetary boundaries, social equality and justice. This Sustainable Gurukul Education system prepares the Shishyas in all aspects of life in future.
 Sustainable development requires the interplay of all three areas: knowledge, values, and education, influencing individual and then collective decision-making, behavior, and action.
 We want to create a more sustainable world, with stable economies and more just and inclusive societies. A difficult but not unattainable target if we can count on the involvement of governments, institutions, businesses, and, above all, a responsible and committed public.
 Integration among the three elements is essential for sustainable development. Scientific knowledge without values can produce materialism, exploitation and destruction. Religious values without reason can lead to superstition and fanaticism. Education must bring both knowledge and values together to be effective. Sustainable development goal is one among 17 goals set out by the United Nations to be achieved by 2030.India is ranking 121 in the world for sustainable development ranking. These goals are directed towards ending poverty, inequality, climate change and peace for all. So, every country in the world is responsible to achieve these agendas.
 Besides, the idea of Atmanirbhar Bharat or Azadi ka Amrit Kaal cannot be actualised without making youth capable of contributing sustainability towards industrial revolution. The proposed research will explore various methods of imparting value-based education through Gurukul Methodology for achieving sustainable development goals.
 This kind of research in much needed in the current scenario. This research will try to explore the various dimensions of sustainable development which are linked with value education, so that people will have a better understanding of value education & its importance in sustainable development. The proposed research will be an in-depth study on how Gurukul Methodology can pave a way for sustainable development. It will develop a systematic review of literature on the value education through Gurukul Methodology & its importance in sustainable development, which is yet lacking. Researcher will try to develop a model through which value education can be imparted using Gurukul Methodology which results in sustainable development.

Analysis of Developing Anti-Corruption Education in Indonesia Through Media-Based Citizenship Education Learning Smart Mobile Civic

The purpose of this study is to analyze the development of anti-corruption education in Indonesia, through learning Citizenship Education based on Smart Mobile Civic media. Efforts to eradicate corruption are not only the responsibility of law enforcement agencies or the government, but also the responsibility of all components of the nation. Therefore, efforts to eradicate corruption must be carried out by involving all relevant stakeholders, namely the government, the private sector and the community. This research method uses a qualitative approach. The use of qualitative methods in research can produce a more comprehensive study of a phenomenon. The results of the study show that: Citizenship Education learning system has a very strategic role, to increase students' understanding of anti-corruption education. In this context of research, the students, as agents of corruption prevention, cannot be separated from the characteristics they possess, such as: Intellectuality, Youth Spirit, and Idealism. Student involvement in the anti-corruption movement can basically be divided into four areas: within the family, on campus, in the local community, and at the regional or national level. The digital era has had a tremendous impact on citizenship learning, such as through the application of Smart Mobile Civic media as a fun and not boring learning media for students so that they can explore more deeply about their knowledge and experiences.

LIFE CYCLE MANAGEMENT MODELS OF COMPONENT EDUCATIONAL RESOURCES OF THE COMPANY

Learning management systems are characterized by the fact that the scenarios of their operation are related to various aspects of educational activity, which in turn requires costs for the creation of professional training programs, electronic educational resources and their exploitation. These problems confirm the relevance of research aimed at developing models of life cycles for electronic educational resources, programs and qualification levels of specialists, as well as at creating effective tools for automated management of the learning process. The purpose of this study is to optimize the life cycles of electronic educational resources, training programs, employer requirements and increase efficiency in managing the continuous process of training specialists. Analytical studies of life cycle models of electronic educational content, learning and educational activity management systems, content management systems were carried out in the work in order to select and develop tools for automated design and filling of educational resources, as well as synthesis of the life cycle management system of its main components. Models of the life cycles of the main components of the educational environment have been developed, which allow for their coordination and optimization for the system of automated management of training processes and professional development. Distinctive features of the models are the comprehensive synchronization of the life cycles of all components with the assessment of the effectiveness of this process, as well as adjustment to the changing requirements of the external environment. A model for synchronizing the life cycles of the components of the educational environment, including electronic educational content and a system for managing learning and professional development processes, has been developed. A feature of the model is a comprehensive assessment of the effectiveness of the synchronization process at all its stages for the automated selection and/or synthesis of personalized training programs and electronic resources in accordance with the changing requirements of standards and employers.

Artificial intelligence in broadcasting: awareness and perception of government policies by staff of open and distance learning institutions in Nigeria. A case study of IPPIS policies in NOUN

One of the key advantages of Artificial Intelligence (AI) is to decrease the social and economic inequalities within the society (Villani, C. et al, 2018), through the dissemination of accurate and timely information. This is only possible where A1 technologies are effectively used to broadcast vital information or policies to people about issues that affect their well-being. One of such policies is the Integrated Personnel and Payroll Information System (IPPIS) which was implemented by the Nigerian Government to forestall and further curb excessive spending and mismanagement of public funds. But one questions the adoption, implementation and efficacy of this financial policy on the Nigerian public servants, especially the staff of the federal government institutions of tertiary education. This policy also interferes with the existing financial policies in these institutions especially in Open and Distance Learning (ODL) educational systems with huge staff whose productive output depends on their social well-being orchestrated on adequate information. The National Open University of Nigeria (NOUN) is a leading ODL institution in Nigeria with 4615 workers. New government policies should not destabilise the smooth-running system and pitch her staff against the University Management or the National Universities Union against the Federal Government. Rather, a suitable subtle way of worming in government policies into the systems is ideal. In NOUN, no previous information, seminars or sensitisation was done to intimate the staff about the on-coming financial policy before its implementation despite availability of adequate AI technologies and commensurate staff to man them, hence making the staff very sad and humiliated! This has created disharmony, bitterness and rancour among the NOUN staff, especially in the academia. It has positioned the Nigerian government negatively before NOUN staff, making them continuously castigate the Federal Public Service of Nigeria. These unpleasant effects of the mass miscommunication on IPPIS demonstrate the pertinence of AI-powered broadcasting, that is, how mass communication of public policies can fail when AI-assisted broadcasting is absent. This paper investigates the level of awareness of NOUN staff about the need for the adoption and implementation of IPPIS as a government policy aimed at reforming the financial management process in Nigeria, the perception of NOUN Staff towards IPPIS and its benefits to them. The study, anchored on Robert Freeman’s Stakeholder Theory, led us to expand the theory into a multi-stakeholder theory for policy-making, based on empirical facts embedded in the model of the United Nations 17 Sustainable Development Goals for 2030.

Coupling and Coordination of Community Education and Higher Education under the Lifelong Education Learning System

Coupling and Coordination of Community Education and Higher Education under the Lifelong Education Learning System

Design and Implementation of National Defense Education Learning System

Design and Implementation of National Defense Education Learning System

A Probe into the Practical Teaching Mode of Adult Higher Education Continuing Education Curriculum under the Background of Lifelong Education

Higher diploma continuing education is an important part of higher education, is an important content of building a lifelong learning education system to serve the whole people, and is an important way for the people to create a better life and achieve common prosperity. At present, the research on the interaction between deep learning and knowledge transfer is still quite limited in view of the characteristics and needs of continuing education learners for higher education. In addition, the methods of cooperation, communication and partnership, as well as various forms of classes, are used to promote their learning and improve their comprehensive quality, so as to achieve better training results. This paper takes the pre-school education of continuing education for higher education as an example, based on students' cognitive law, career development needs and the characteristics of disciplines, and takes the mixed teaching reform as an opportunity to explore the practical teaching mode suitable for continuing education for higher education. Through the teaching practice and exploration of deep learning for students of continuing education for higher education, it is expected that students can obtain a brand new and dynamic learning environment to meet their unique and challenging learning purposes. The promotion of higher diploma continuing education can better meet the requirements of today's society for the cultivation of high-quality talents.

The Value and Path of Realizing Lifelong Learning Education System under the "University + Community" Model in the New Era

The Value and Path of Realizing Lifelong Learning Education System under the "University + Community" Model in the New Era