Learning Revolution Research Articles

The Digital Revolution in Arabic Language Learning: An Analysis of Trends, Results, and the Future of Language Education in the Digital Age

This literature review investigates the impact of digital technology on Arabic language learning, highlighting both its positive effects and challenges. The integration of digital tools has significantly enhanced accessibility, enabling a broader audience to engage in learning, including those in remote areas or unable to attend in-person classes. Digital technology has democratized education, providing diverse and flexible learning opportunities. However, the use of digital technology in Arabic language learning also faces several challenges. Technical issues, such as unstable internet connections and server problems, can disrupt the learning process. Additionally, there is a risk of technology misuse, including the spread of misinformation and the improper use of social media. Despite these challenges, the positive outcomes, such as increased accessibility and the potential for personalized learning experiences, underscore the transformative potential of digital technology in Arabic language education. This review aims to provide insights into current trends, assess the outcomes of digital integration, and explore future directions for enhancing language education in the digital era. The findings suggest a balanced approach, addressing technical challenges while leveraging the benefits of digital tools, to optimize the learning experience and ensure the effective teaching of Arabic in the digital era. This research is expected to assist various parties in gaining different perspectives.

Smart traffic management: a deep learning revolution in traffic prediction - a review

Smart traffic management: a deep learning revolution in traffic prediction - a review

IT Outsourcing Vendor Selection for Digital Transformation Projects in Public Sector using Interval-Valued Spherical Fuzzy AHP

Digital transformation projects have started to be implemented intensively in private sector companies, government institutions, and the public sector. In addition to its benefits, such as increased efficiency and cost reduction, digital transformation also creates high citizen satisfaction and public value for public institutions. However, as in the private sector, the public sector's biggest problem is achieving success in digital transformation projects, which is the biggest problem facing political leaders and public administrators. Public administrators must realize a profound learning revolution and change management in the internal organizational culture. They also need to choose the right outsourcing companies and succeed in implementing IT projects. Consequently, determining the selection criteria of the outsourcing companies that will take part in digital transformation projects in the public sector and the selection methodology to be applied is of great importance. It may be necessary to make a more complex and holistic evaluation when dealing with digital transformation projects in the public sector due to public institutions' unique norms, internal political balance, and culture. For this reason, a perspective and methodology covering all organizational stakeholders should be applied in decision-making processes. This study presents a Spherical Fuzzy AHP-based selection methodology framework for IT outsourcing vendor evaluation processes to enable public sector decision-makers to make better decisions.

Progress, Pitfalls, and Impact of AI-Driven Clinical Trials.

Since the deep learning revolution of the early 2010s, significant efforts and billions of dollars have been invested in applying artificial intelligence (AI) to drug discovery and development (AIDD). However, despite high expectations, few AI-discovered or AI-designed drugs have entered human clinical trials, and none have achieved clinical approval. In this perspective, we examine the challenges impeding progress and highlight opportunities to harness AI's potential in transforming drug discovery and development.

Vocabulary Learning Revolution with Jamboard in 7th grade at SMPN 1 Gandusari

This study aimed to assess the effectiveness of Jamboard in enhancing the vocabulary achievement of seventh-grade students at SMPN 1 Gandusari, particularly in describing places and understanding meanings, synonyms, and antonyms. The research employed a one-group pretest and post-test pre-experimental design involving 32 students. The methodology included three key phases: pretest, treatment, and post-test. Tests were used to gather data, and before administering the test to the participants, the test's reliability and validity were ensured through preliminary trials. Data analysis was conducted using paired sample t-tests with SPSS 25. The findings revealed a significant improvement in students' vocabulary achievement, with scores increasing from an average of 63.63 in the pretest to 92.25 in the post-test. The paired sample t-test indicated a Sig. (2-tailed) value of less than 0.05, confirming a significant difference in learning outcomes between the pretest and post-test. This suggests that Jamboard effectively improves the vocabulary of seventh-grade students at SMPN 1 Gandusari, particularly in describing places. Based on these results, it is recommended that teachers incorporate Jamboard into English language instruction to make learning more engaging. Teachers could also use Jamboard to teach other topics. Additionally, students are encouraged to regularly review vocabulary related to describing places. Future research could explore student and teacher responses to Jamboard for different subjects or compare its effectiveness with other language learning tools such as Duolingo, Baamboozle, and Beelingoapp.

INNOVATIVE EDUCATIONAL TECHNOLOGIES FOR AFRICA

Africa faces considerable challenges in providing quality education to all citizens, a situation worsened by the digital divide, which limits access to modern learning tools. Many communities, especially in rural areas, lack adequate infrastructure, such as internet connectivity and electricity, preventing equitable access to educational resources. Additionally, underfunded schools, a shortage of trained teachers, and socio-economic disparities further undermine efforts to deliver effective education. However, the rise of educational technology (EdTech) offers a promising solution. Digital platforms, mobile learning tools, and low-cost educational devices can transform how education is accessed, delivered, and experienced across the continent. These technologies enable remote learning and provide opportunities for personalized education, overcoming traditional barriers like inadequate classrooms and physical materials. This paper explores how innovative EdTech solutions are helping to bridge the digital divide in Africa. Successful case studies, such as mobile learning programs and internet-enabled schools, illustrate how technology can enhance educational outcomes in underserved areas. However, widespread adoption of these solutions faces several barriers, including lack of infrastructure, high costs, and limited digital literacy. To overcome these obstacles, the paper proposes strategies such as improving digital infrastructure, fostering public-private partnerships, and integrating technology into education policies. By leveraging technology for education, African countries can promote sustainable development and achieve inclusive growth, ensuring all citizens benefit from the digital revolution in learning. This approach is crucial for preparing Africa’s youth for a globalized economy and future challenges.

The Digital Learning Revolution: AI-Powered Adaptive Learning in PGSD Lectures

The development of digital technology has significantly impacted education, including PGSD (Primary School Teacher Education) lectures. AI-powered adaptive learning offers vast potential to revolutionize digital learning in PGSD, particularly in the course on Digital Learning. This study aims to explore the use of AI-powered adaptive learning in the context of fifth-semester PGSD students enrolled in Digital Learning courses for elementary schools. This research employs a qualitative approach with a case study method. Data were collected through observations, in-depth interviews with lecturers and students, and document analysis. Data were analyzed thematically to identify the benefits, challenges, and effective strategies for implementing AI-powered adaptive learning. The findings reveal that AI-powered adaptive learning has significant potential to enhance the effectiveness of digital learning in PGSD lectures. This system can provide personalized learning tailored to the needs and abilities of each student. It also boosts learning motivation, fosters independence, and optimizes study time. However, the study also highlights several challenges, such as resource availability, technology access, and lecturers' readiness to implement this system. This research recommends that universities consider integrating AI-powered adaptive learning as an integral part of digital learning in PGSD lectures. It also serves as a reference for developing strategies and policies that support the effective and sustainable implementation of AI-powered adaptive learning in higher education.

Attention is All They Need: Exploring the Media Archaeology of the Computer Vision Research Paper

Research papers, in addition to textual documents, are a designed interface through which researchers communicate. Recently, rapid growth has transformed that interface in many fields of computing. In this work, we examine the effects of this growth from a media archaeology perspective, through the changes to figures and tables in research papers. Specifically, we study these changes in computer vision over the past decade, as the deep learning revolution has driven unprecedented growth in the discipline. We ground our investigation through interviews with veteran researchers spanning computer vision, graphics, and visualization. Our analysis focuses on the research attention economy: how research paper elements contribute towards advertising, measuring, and disseminating an increasingly commodified "contribution." Through this work, we seek to motivate future discussion surrounding the design of both the research paper itself as well as the larger sociotechnical research publishing system, including tools for finding, reading, and writing research papers.

Generative AI in Science Education: A Learning Revolution or a Threat to Academic Integrity? A Bibliometric Analysis

The integration of generative artificial intelligence (AI) in Science, Technology, Engineering, and Mathematics (STEM) education presents transformative opportunities alongside significant challenges. This study investigates the dual impact of generative AI on STEM learning outcomes and academic integrity through a comprehensive bibliometric analysis employing co-citation, keyword analysis, and trend mapping. The results reveal that AI tools such as ChatGPT have revolutionized personalized learning by offering tailored feedback, enhancing critical thinking, and improving student engagement. However, these advancements are tempered by concerns over academic misconduct, particularly plagiarism, and the erosion of essential cognitive skills due to overreliance on AI-generated content. Ethical considerations remain critical, necessitating the development of robust policies and ethical frameworks to safeguard academic integrity. Beyond educational settings, the findings suggest broader applicability to professional training and skills development, as the benefits and challenges of AI extend beyond coursework. This research provides valuable insights for educators, policymakers, and researchers, advocating for a balanced approach to AI integration that maximizes its potential while preserving educational standards.

Mobile Learning Revolution: Harnessing the Potential of Smartphones in the Learning Process

Utilizing smartphone-based mobile learning in the learning process will provide the latest innovative alternatives to the learning process. Today's students tend to experience distractions in their learning process. Not infrequently the learning system that applies in a school makes students bored and not enthusiastic about learning. This could have been because the school did not make any changes in the existing education system. Where the effect of the incident will cause students to feel bored and bored in the learning process. In this era of the mobile revolution, it will create various advances in the field of technology that can be used to support the learning process. The purpose of this research is to find out the potential utilization of smartphones as a form of mobile learning revolution in the learning process. Through research on the Mobile Learning Revolution: Utilizing the Potential of Smartphones in the Learning Process, researchers hope that by utilizing the potential of smartphones as a manifestation of the mobile learning revolution in the learning process, it can facilitate the learning process itself. The method used in this research is a quantitative method. The researcher conducted a survey using the Google form which consisted of 15 statements related to the research title. Researchers found that the use of the potential of smartphones in the era of the mobile learning revolution had a major impact on the learning process. The existence of a smartphone in the learning process greatly facilitates the implementation of the teaching and learning process in schools. The limitations of this study are that researchers only conduct research in schools and researchers do not conduct research directly at schools but share survey links on Google forms containing statements about the Mobile Learning Revolution: Utilizing the Potential of Smartphones in the Learning Process.

The Learning Revolution: Investigating the Use of Technology to Explore Mathematical Physics Learning

This research aims to describe how future physics teachers study mathematical physics. Physics students must master the existing material in Mathematical Physics mathematics well, thoroughly, and collaboratively. Data collection is done with lifts, interviews, and observations. Research results show that the learning process needs to be more contextual, less applicative, and highly dominant in mathematics; less attractive teaching materials and lectures are not designed to equip students with the skills of the 21st century. Learning does not use technology to help students solve physical problems. It causes students difficulty learning mathematical methods in physics. In fact, in learning mathematical physics, students must master the concepts related to mathematics tools and their applications. The ability to mathematically solve problems of physical phenomena and give meaning to mathematical models is built into critical aspects of learning. The solution that can be applied is to apply technology using software applications like Maple.

The influence of the fourth industrial revolution in teaching and learning: the COVID-19 context

Background The aim of this paper was to explore how the Fourth Industrial Revolution shapes teaching and learning during COVID-19 in some of the schools located in the Gauteng and Mpumalanga provinces, South Africa. This paper employed qualitative interpretative multiple case study design. Purposive sampling was used to sample our participants. Methods We selected four teachers who separately taught at the early childhood development stage, intermediate phase, senior phase, and further education and training phases. Data was collected telephonically through semi-structured interviews with teachers from Limpopo, Gauteng and Mpumalanga provinces of South Africa. Data was collected from their experiences of COVID-19 from 2019 to 2021. Collected data was analysed using a typology approach whereby themes that derived from the literature reviewed and research questions were used. Results We inferred from the results of the paper that teachers had challenges with teaching and availability of learning resources, such as limited access to internet and socio-economic backgrounds, which hindered the integration of the Fourth Industrial Revolution in the teaching and learning process. There were also challenges related to teachers’ background on the usage of the Fourth Industrial Revolution and the lack of school management teams support. The paper revealed that the integration of the Fourth Industrial Revolution in teaching and learning was affected negatively by the existence of the above-mentioned challenges, which needs to be addressed. Conclusions Therefore, we recommended that the government and stakeholders within the education sector provide resources such as smart-boards, computers, and network access in schools lacking such facilities, as well as providing professional development interventions and training teachers to have an in-depth understanding of the Fourth Industrial Revolution within the teaching and learning context.

Implementations of The Digital Madrasah

The demands of the times demand the world of education to be able to adapt and use technological developments in an effort to improve the quality of learning. The current development of information technology provides its own challenges in the world of education especially madrasah. Basically, the madrasah is an important Islamic educational institution in Indonesia, where its existence has proven to have marked a generation of nations with deep religious insights and the soul of nationalism. Therefore, the educational institutions of the Madrasah must be able to adapt to such massive technological developments. The madrasas must be capable of utilizing and integrating technology in teaching activities so that it becomes relevant and contextual with the development of the times. The aim of this research is to take stock of the efforts made by MTsN 1 Makassar in transforming into a digital madrasah, to find out the supporting factors and obstacles in implementing the digital madrasah policy. This type of research is qualitative descriptive. The results of the research describe the efforts made at MTsN 1 Makassar in transforming into a digital madrasah starting from the planning stage of both activity planning and budget planning, strengthening the quality of SDM by forming the learning revolution team 4. Supporting factors are the large number of digital flatforms that are open access, the support of the parents of the students and the factors that hinder are the price of relatively expensive digital devices, large electricity bills and a less stable internet network.

Novel applications of Convolutional Neural Networks in the age of Transformers.

Convolutional Neural Networks (CNNs) have been central to the Deep Learning revolution and played a key role in initiating the new age of Artificial Intelligence. However, in recent years newer architectures such as Transformers have dominated both research and practical applications. While CNNs still play critical roles in many of the newer developments such as Generative AI, they are far from being thoroughly understood and utilised to their full potential. Here we show that CNNs can recognise patterns in images with scattered pixels and can be used to analyse complex datasets by transforming them into pseudo images with minimal processing for any high dimensional dataset, representing a more general approach to the application of CNNs to datasets such as in molecular biology, text, and speech. We introduce a pipeline called DeepMapper, which allows analysis of very high dimensional datasets without intermediate filtering and dimension reduction, thus preserving the full texture of the data, enabling detection of small variations normally deemed 'noise'. We demonstrate that DeepMapper can identify very small perturbations in large datasets with mostly random variables, and that it is superior in speed and on par in accuracy to prior work in processing large datasets with large numbers of features.

Advanced Vehicle Detection and Tracking on Roads Using Deep Learning

Abstract: The world has been overtaken by artificial intelligence (AI), machine learning, and deep learning, which are affecting every aspect of our lives, including our need for companionship and the growth of smart cities and communities. Though tremendous progress has been made in fields like healthcare and education, transportation. Transportation is a significant barrier that has a huge financial and human cost on a worldwide scale. Traditional methods of assessing traffic on roads, which rely on inductive loops, don't give much information and can't control traffic in real-time. This study describes how the transportation sector could undergo a deep learning revolution. Deep learning techniques, including image and video analysis, have the potential to revolutionize road traffic monitoring by enabling computers to recognize traffic congestion, enhance road safety, and address various other concerns. The integration of deep learning technologies promises a new era of data-driven solutions for transportation-related issues, which could ultimately result in safer, more effective, and economically sustainable societies in the face of over a million annual fatalities and trillions of dollars in damages. In order to address these problems, this paper shows how well YOLOv3 detects automobiles and how well Darknet53 tracks these vehicles while they are on the road.

Redefining Intelligence: The Deep Learning Revolution in AI

In the ever-evolving realm of artificial intelligence (AI), deep learning stands as a beacon of innovation, transforming the essence and trajectory of AI systems. This paper ventures into the heart of deep learning’s transformative power, charting its journey from the early neural network concepts to the advanced architectures that propel today’s technological breakthroughs. We delve into the harmonious interplay between deep learning and the surge in computational prowess, amplified by the vast seas of big data, which have jointly propelled AI to unprecedented levels of functionality and societal integration. Through a tapestry of case studies, we illuminate the tangible applications of deep learning across diverse sectors such as healthcare, finance, and autonomous navigation, showcasing how these intelligent algorithms have not only sharpened efficiency and accuracy but also brought forth pressing ethical dilemmas. The conversation on AI’s ethical landscape, with a spotlight on transparency, accountability, and privacy, emerges as an indispensable facet of conscientious AI evolution. Peering into the horizon, we ponder the onward march of deep learning, recognizing the promise it holds for awe-inspiring innovation as well as the hurdles that await. The paper underscores the imperative for ongoing inquiry into algorithmic refinement, data morality, and the ecological footprint of AI technologies. In our closing reflections, this paper celebrates the profound sway of deep learning over AI, with a nod to the indomitable human spirit that fuels technological advancement. It is this fusion of human ingenuity, moral vision, and technical mastery that will chart the course for AI’s future, steering it towards our shared ideals and dreams for a brighter tomorrow

Social media for learning: A qualitative exploration of the factors that impact clinical learners' attitudes and intentions.

Social media has created a revolution in learning and teaching. This study set out to provide a theory-informed exploration of the factors influencing medical students' perspectives of learning with social media using the theory of planned behaviour (TPB) as a framework. The study collected data using semi-structured interviews from seven third year medical students at an undergraduate Australian medical school, who were in their first clinical year. The data were analysed inductively and deductively using TPB. Three themes emerged relating to the factors that influence medical students' attitudes and intentions regarding using social media for learning: (1) Social media aligns with the needs and preferences of the contemporary learner; (2) rise of medical professionals on social media during the COVID-19 pandemic; and (3) being an informed user of social media for learning. Participants had largely positive views and attitudes towards social media as a learning tool especially for preclinical content due to its capacity for multimodal information delivery and evolving social norms. However, this positivity was tempered by the challenges they faced in determining quality of resources, linking their learning to clinical medicine and accessing specialist content. Social media can play a significant role in medical students' learning. However, its potential as an educational tool can be enhanced by widening access to resources, and implementing strategies that help students increase their evaluative judgement skills to make informed decisions regarding the quality of social media resources and to translate their social media-mediated learning into clinical practice.

Revolusi Pembelajaran di Pesantren Modern: Pengaruh dan Implikasi Pembelajaran Bersanad

This study aims to analyze the impact of changes in the sanad-based learning approach in modern Islamic boarding schools on students, teachers, and the schools themselves. Additionally, this research aims to investigate whether this approach provides a positive contribution to the understanding of religion, character development, and the relevance of Islamic boarding schools in contemporary society. The research method used is a literature review with a qualitative approach. Data were obtained from relevant literature sources, including scholarly journals, books, articles, and documents related to sanad-based modern Islamic boarding school education. Data analysis was conducted using a content analysis approach to identify common patterns in the accessed literature. The results of the literature review indicate that the sanad-based learning revolution has a positive impact on students' understanding of religion. Furthermore, this approach also has the potential to assist in shaping students' character by emphasizing ethical and moral values. Islamic boarding schools that implement this approach also tend to be more relevant in contemporary society, attracting student interest and gaining broader support from the community. In conclusion, based on the results of this literature review, it can be concluded that the revolution in sanad-based learning in modern Islamic boarding schools has a positive influence on enhancing religious understanding, character development, and the relevance of these schools in society. This approach has helped Islamic boarding schools remain relevant in the face of modern challenges. The contribution of this study is to provide a better understanding of the changes in the approach to learning in modern Islamic boarding schools and its positive contribution to Islamic education in Indonesia. This study can serve as a foundation for further development in the field of Islamic boarding school education and sanad-based learning.

Incorporation of artificial intelligence in healthcare professions and patient education for fostering effective patient care

AbstractArtificial intelligence (AI) influences many aspects of modern life and has multiple applications in the delivery of healthcare. AI is designed to mimic human capabilities including pattern recognition, data analysis, and decision‐making and perform tasks more efficiently. It is capable of detecting patterns in large datasets that might elude human beings. AI has potential to improve patient care, patient safety, disease diagnosis and treatment; public health; health research; health administration; and the daily work of health professionals. In 2019, the US National Academy of Medicine emphasized the need for “physicians, nurses, and other clinicians, data scientists, health care administrators, public health officials, policy makers, regulators, purchasers of health care services, and patients to understand the basic concepts, current state of the art, and future implications of the revolution in AI and machine learning.” Therefore, it is incumbent on adult educators to incorporate AI training into health professions education and patient education.

Learning Revolution with Student Worksheets Based on Bondowoso Local Wisdom for Fourth Grade of Elementary School

Local wisdom is essential to introduce to students, but only a few schools can introduce local wisdom from the local area and integrate it into learning material. The teaching materials used by teachers also do not contain material based on local wisdom. This impacts students who need to learn the local wisdom of the area where they live, and their learning outcomes decrease. This research aims to test the validity, effectiveness, and practicality of Bondowoso's local wisdom-based LKPD to improve student learning outcomes. This type of research is development research. The model used to develop products is the Borg and Gall model. The subjects of this research were class IV students. Data collection methods use observation techniques, interviews, questionnaires and learning outcomes tests. Data analysis techniques use product validation, t-test, relative effectiveness test, student response, and practicality test. The validation results carried out by 4 validators achieved a score of 94.75 in the very feasible category. The relative effectiveness test result was 43.43% with the medium effectiveness category. The results of calculating student responses scored 97.67 in the very effective category. The practicality test by the observers received a score of 94.25 in the convenient category. It was concluded that the LKPD based on Bondowoso local wisdom was valid, effective and practical for use in learning.