Concept Of Learning Research Articles

The role of artificial intelligence in the management of liver diseases.

Universal neonatal hepatitis B virus (HBV) vaccination and the advent of direct-acting antivirals (DAA) against hepatitis C virus (HCV) have reshaped the epidemiology of chronic liver diseases. However, some aspects of the management of chronic liver diseases remain unresolved. Nucleotide analogs can achieve sustained HBV DNA suppression but rarely lead to a functional cure. Despite the high efficacy of DAAs, successful antiviral therapy does not eliminate the risk of hepatocellular carcinoma (HCC), highlighted the need for cost-effective identification of high-risk populations for HCC surveillance and tailored HCC treatment strategies for these populations. The accessibility of high-throughput genomic data has accelerated the development of precision medicine, and the emergence of artificial intelligence (AI) has led to a new era of precision medicine. AI can learn from complex, non-linear data and identify hidden patterns within real-world datasets. The combination of AI and multi-omics approaches can facilitate disease diagnosis, biomarker discovery, and the prediction of treatment efficacy and prognosis. AI algorithms have been implemented in various aspects, including non-invasive tests, predictive models, image diagnosis, and the interpretation of histopathology findings. AI can support clinicians in decision-making, alleviate clinical burdens, and curtail healthcare expenses. In this review, we introduce the fundamental concepts of machine learning and review the role of AI in the management of chronic liver diseases.

A Qualitative Study on Self-Regulated Learning of Chinese as a Second Language

The characteristics and challenges of learning Chinese as a second language (CSL) warrant a deeper understanding of the learning process from various perspectives to promote learning development. In the domain of second language acquisition research, the concept of self-regulated learning (SRL) has been gaining increased attention from researchers. SRL encompasses a broader and more profound connotation than previous models, as it emphasizes the strategic application of learning techniques to facilitate language development. This theoretical shift has yielded fruitful research results in the field. By investigating SRL, we can examine the dynamic and cyclical process of CSL learning from multiple dimensions and identify learning problems from the learners’ perspective, ultimately finding solutions. This study aims to conduct qualitative research on SRL among five CSL learners with different cultural and educational backgrounds, utilizing qualitative study methods. The research focuses on exploring the characteristics and patterns of SRL among CSL learners, offering insights for teaching practices. The study will employ semistructured interviews and reflective journals to gather in-depth data on the learners’ SRL processes. Key questions include how SRL impacts CSL learning outcomes, the distinctive characteristics of applying SRL theory to CSL learning, and the effective implementation of SRL strategies to enhance learning. By addressing these questions, the research aims to fill the gap in existing literature and provide practical insights for educators to support the development of autonomous, self-regulated Chinese language learners. This, in turn, will contribute to improving instructional methods and promoting better academic achievements in CSL learners.

Investigating the impact of three levels of representation-based visual media on students’ mental models

Abstract This study examines the effect of visual media on students’ mental models regarding battery functions and electrical resistance concepts. The study presents a novel visual media approach consisting of phenomena videos, dynamic analogies, and microscopic models. The development of the visual media followed the ADDIE model. The research subjects were 25 12th-grade students from a private senior high school in Bandung, West Java. Students’ mental models were assessed using open-ended test that examined four concepts: (1) electromotive force (EMF) in batteries; (2) electrical resistance; (3) resistors in series; and (4) resistors in parallel. The test were administered as both pre-tests and post-tests.The pre-test results revealed that the majority of students had initial mental models regarding battery functions and electrical resistance concepts. By the end of the study, most students had developed synthetic mental models. However, the majority successfully achieved scientific mental models concerning electrical resistance concepts. In other concepts, only a few students achieved scientific mental models. Overall, the visual media had a significant positive effect on students’ mental models, with corrections observed in 92% of students for EMF in batteries, 96% for electrical resistance, 80% for resistors in series, and 84% for resistors in parallel.These findings encourage physics teachers and researchers to develop innovative visual media focused on correcting students’ mental models in scientific concept learning.

Leveraging how animals learn in conservation science: Behavioral responses of reintroduced bison to management interventions

AbstractReintroduction programs have increased amid unprecedented biodiversity loss, yet the success of these programs lag. A prominent reason for program failure is dispersal beyond the planned range of the population. Management techniques, such as hazing, can be used to prevent movement beyond set boundaries, but to be effective long‐term, the animals must learn to avoid the areas where they are hazed. Although concepts of animal learning have been used to improve reintroduction programs, learning is not often explicitly tested or used as an indicator of program success. We used a conservation behavior framework to evaluate how a range of management techniques influenced learning in a reintroduced population of bison in Banff National Park, Canada. We hypothesized exposure to stronger negative stimuli would enhance learning, leading to more pronounced behavioral responses. Specifically, we tested the degree to which management actions (i.e., drift fence encounters, foot, horseback, helicopter, and combined hazing) elicited behavioral responses and how they facilitated learning. Consistent with our predictions, drift fence interactions and foot and horseback hazing elicited fewer behavioral responses of a smaller magnitude than helicopter hazing or combined methods, suggesting these techniques cause less disturbance to the bison. Bison continually returned to locations where they encountered management actions that caused the least disturbance, demonstrating a lack of associative learning. Bison appeared to form negative associations with locations where they were hazed via helicopter or combined methods, however, and rarely returned to these locations. Evaluating management techniques is essential for improving conservation success. We demonstrate that by bridging the fields of conservation biology and animal learning, we can understand how management techniques influence learning and behavior thereby facilitating effective conservation plans that incorporate disruption levels of the animals, financial costs, and overall effectiveness. Effective conservation plans, in turn, improve our likelihood of successfully managing and recovering species.

Developmental Sensemaking for Transformative Action Taking: The Constructive Motion of Emotion

The article refreshes the concept of learning from experience, by emphasizing how experience is primarily anchored by emotion not rational thinking alone. It then inquires into the potential value of engaging emotions as a resource that gives vitality to action research. The proposition is that by including disappeared and denied emotions, perhaps especially at this moment when we confront planetary crisis, we may find greater perspective and imagination in co-creating response with stakeholders. Insights from two bodies of literature, action-oriented psychology and constructivist adult development are brought to flesh out the argument. A rich learning chronicle from a large scale, successful action research at the Port of Los Angeles is used to illustrate. The relevance of this chapter for action researchers engaged in territorial development lies in the provocation that more action researchers enrich capacity for helping transformations happen by leveraging the motion of emotions at this time of ecosocial crisis.

Como os saberes da neurociência da aprendizagem podem contribuir com o ensino da graduação e com as escolhas pedagógicas docentes?

In Brazil, University teaching is generally a responsibility of professors who are required to postgraduate training, generally master's and Ph.D. degrees, in specific areas, depending on the discipline taught. Rarely is there a concern with teacher pedagogical training in stricto sensu courses – when there is, it does not usually include neuroscience of learning concepts. In fact, neuroscience has a limited presence even in the initial training of teachers. On the other hand, it is clear that understanding how the brain learns and the factors that can influence this learning is crucial for teachers' performance. In this article, we present reflections on this topic and share our experiences in teaching Human Physiology, which confirm the potential contribution of the neuroscience of learning in updating and teaching teachers' pedagogical choices.

Collaborative Online International Learning With Prelicensure Nursing Students: Teaching Family-Centered Care Through a Global Perspective.

A Collaborative Online International Learning (COIL) experience was designed for prelicensure nursing students taking a pediatric course in the United States and in Brazil, to teach family-centered care to develop inclusive, global nursing practices. The purpose of this study is to describe prelicensure nursing student learning of family-centered care concepts facilitated by COIL. For data collection, six focus groups with 37 students were conducted across both universities. Data were analyzed using inductive qualitative analysis by each country separately and as a global team. Major themes included understanding the needs of families of children with chronic conditions as impacted by health systems, assigning meanings to family care of children with chronic conditions, applying concepts of family-centered care and self-reflection. Results suggest COIL is a feasible way for prelicensure nursing students to learn family-centered nursing care by operationalizing concepts, from real experiences and increasing cultural awareness.

Bridging Theory and Practice : An Integrated Approach to Blockchain and Data Analytics Education

This article presents a comprehensive framework for building a strong foundation in blockchain technology and data analytics, two rapidly evolving fields that are increasingly intertwined in today's digital landscape. We propose a structured approach that combines theoretical knowledge acquisition with practical skill development, designed to equip aspiring professionals with the necessary tools to succeed in this dynamic sector. The framework encompasses key areas such as blockchain fundamentals, smart contracts, cryptography, data analysis techniques, and advanced machine learning concepts including neural networks, deep learning, and artificial intelligence. We emphasize the importance of leveraging diverse educational resources while highlighting the critical role of hands-on projects in reinforcing learning outcomes. By detailing strategies for developing blockchain applications and conducting advanced data analytics, this article bridges the gap between academic understanding and practical application. We explore real-world use cases demonstrating the synergy between blockchain and AI in areas such as financial crime prevention, supply chain management, and healthcare. Our findings suggest that this integrated approach not only enhances technical proficiency but also cultivates the problem-solving and analytical skills essential for advancing towards professional roles in blockchain and data analytics. This research contributes to the growing body of literature on technology education and provides a roadmap for individuals seeking to establish a robust foundation in these interconnected fields.

‘You should not be that good in week three:’ what can Strictly Come Dancing tell us about feedback and performativity in UK education policy?

The past decades have seen a plethora of TV reality talent shows emerge. The viewing population likes nothing more than seeing a ‘class’ of bakers, sewers, potters or dancers develop their skills and face the scrutiny of judges before being whittled down to a winner. The popularity of these shows says something about the national psyche but, aside from the entertainment value, may also carry conceptions of teaching, learning, assessment and feedback. By applying a metalinguistic thematic analysis to judges’ feedback, this paper seeks to examine how one UK show in particular, ‘ Strictly Come Dancing,’ presents feedback and, using a feedback framework, how this is understood. This feedback framework is notable for the links made to self-regulation, an area that continues to influence UK education policy. This paper will argue that when popular TV shows such as Strictly Come Dancing are viewed through a pedagogical lens, they reveal models of feedback which are not necessarily valued. Furthermore, analysis reveals the spectacle of normalised and broader educational neoliberalism policy reflected back at us.

Development of a Joyful Learning-Based Instructional Model in Javanese Script

Learning Javanese script is considered an outdated and boring lesson. This paradigm of boring and obsolete Javanese script lessons must be changed into a modern, interesting, and enjoyable learning experience. One way to do this is by developing a Joyful Learning-based model for Javanese language instruction. Joyful Learning is a concept of enjoyable learning. The development of a Joyful Learning-based model for Javanese language instruction is urgent and necessary because the learning model currently used by students needs to employ the principles of Joyful Learning, resulting in students feeling bored, tired, and unmotivated to learn. Additionally, Javanese language instruction is viewed as a good means to develop the character of the nation's children, as it contains values of morality and politeness. The research design used is the ADDIE Research and Development design, with the steps of analyzing, designing, developing, implementing, and evaluating. This study uniquely integrates traditional games into the Joyful Learning model. The result of the study is creating a Joyful Learning-based model for Javanese script instruction. The components of this model include the social system, reaction principles, support system, instructional and incidental impacts, and syntagmatic. The syntagmatic model of Joyful Learning-based Javanese script instruction includes an introduction, material delivery, games for writing sentences, games for reading paragraphs in Javanese script, formative assessment, and reflection. The learning model has been tested at SMPN 12 Semarang. The results of the school trial indicate that the Joyful Learning-based Javanese script instruction model is effective for learning.

Unifying Principles of Generalization: Past, Present, and Future.

Generalization, defined as applying limited experiences to novel situations, represents a cornerstone of human intelligence. Our review traces the evolution and continuity of psychological theories of generalization, from its origins in concept learning (categorizing stimuli) and function learning (learning continuous input-output relationships) to domains such as reinforcement learning and latent structure learning. Historically, there have been fierce debates between approaches based on rule-based mechanisms, which rely on explicit hypotheses about environmental structure, and approaches based on similarity-based mechanisms, which leverage comparisons to prior instances. Each approach has unique advantages: Rules support rapid knowledge transfer, while similarity is computationally simple and flexible. Today, these debates have culminated in the development of hybrid models grounded in Bayesian principles, effectively marrying the precision of rules with the flexibility of similarity. The ongoing success of hybrid models not only bridges past dichotomies but also underscores the importance of integrating both rules and similarity for a comprehensive understanding of human generalization.

Preservice physical education teachers’ perceptions of initial teacher education

The purpose of this study was to investigate preservice physical education teachers’ perceptions of initial teacher education and its impact on their professional lives and teachers’ identities at the end of their school placement. It was also the aim of this study to identify school placement contributing factors and key actors in the formation of professional identities. The sample was composed of 272 preservice teachers in their final year of the master's in teaching physical education at a Portuguese university. We collected data through a questionnaire that included closed- and open-ended questions regarding six aspects of the teaching profession and initial teacher education: agents of training; components of teacher education; roles of teachers; motivation for teaching; conceptions of teaching and learning; and changes experienced during this period. Quantitative data were statistically analysed for measures of central tendency, and the responses to the open-ended question were analysed through thematic content analysis. The findings revealed: that preservice teachers considered the cooperating teacher to be the most important agent of training; that the teaching practicum experience was the most important component of teacher education; that delivering universal values was an essential role of teachers; that they had an intrinsic motivation for teaching; that they perceived a constructivist approach to teaching; and that the most meaningful change they experienced during their education was an improvement in soft skills. With the results, we conclude that professional socialisation influenced how the participants performed as teachers.

Incorporating different modes in courseware for conceptual learning

ABSTRACT This quasi-experimental study aims to compare the effects of using combinations of written text, animation and narration in multimedia courseware. 114 sixth grade students assigned in three conditions were participated in the study. Three versions of the courseware with combinations of animation, text and narration were developed taking modality into account. The three groups were taught by using three different versions of the courseware. As a result, there was no significant difference between the test results for conceptual learning were found. However, students’ evaluations showed that learning from different forms of knowledge caused some slight differences in their cognitive processes. Suggestions for designers to use appropriate forms of knowledge in courseware are also included.

Educational Method to Promote Recognition, Diagnosis, and Treatment of Eating Disorders: A Cluster-Randomized Study of the Effects of Retrieval Practice Amongst Medical Trainees.

Background Eating disorder (ED) education during medical training is lacking.Few medical trainees feel comfortable managing EDs, and an alarming 78% of healthcare providers report feeling insecure in treating EDs.Recognizing EDs early is crucial as the standardized mortality ratio for patients with anorexia nervosa is more than five times higher than that of the general population.Retrieval practice is a powerful tool in producing meaningful learning of complex concepts in education.We investigated the effectiveness of retrieval practice in ED education among medical trainees to improve recognition, diagnosis, and treatment of EDs among adolescent patients. Methods This exploratory, prospective, cluster-randomized trial enrolled residents and medical students over 14, four-week blocks. Participants were randomized by block to either the conventional lecture-based format (control group) or the retrieval-based educational format (intervention group). The control group received case-based lectures. The intervention group received education via 21 case-based quiz questions over the block with immediate feedback. Groups completed nine-item, multiple choice pre (T1)- and post (T2)-rotation knowledge tests, covering recognizing, diagnosing, and treating EDs.All participants also completed pre- and post-rotation surveys designed to measure self-perceived comfort, confidence in training, knowledge, and skills on the topic of EDs. Results The study's primary outcome was the difference between T1 and T2 scores between study groups. The intervention group showed greater improvement from T1 to T2 (5.8 to 7.4, respectively) than the control group (5.1 to 6.0, respectively). The difference between mean T1 and T2 scores in the control group versus the intervention group was significant (p=0.020).Despite the control group reporting improvements in confidence regarding training on EDs, this increased confidence was inversely correlated with scores on T2 (r=-0.502, p=0.011). Conclusions Trainees benefit from retrieval practice to improve knowledge acquisition regarding EDs.Standard lectures may confer false confidence to learners, which may not accurately align with actual knowledge acquisition.

Advanced Personal Budget Analytics: Combining Optical Character Recognition and Natural Language Processing for Automated Budget Categorization and Insight Extraction

A budget tracking system is a tool designed to help users monitor their financial resources, categorize expenses and control their financial resources. An Intelligent Personal Budget Analysis System is designed to redefine personal finance management. IntelliFinance is a user- friendly app designed for seamless and efficient daily expense management removing the necessity for conventional paper documentation. This project inculcates the concepts of Computer Vision, Machine Learning and Data Analytics, aims to surpass traditional budget tracking by incorporating innovative features such as receipt scanning and analysis. The project is implemented using Android Studio and Firebase, incorporating advanced features such as Optical Character Recognition (OCR) to capture receipt images, extract text, and process it for further analysis. Firebase ML Kit is utilized for scanning and text recognition, while Natural Language Processing (NLP) is applied for categorizing the extracted text. The system provides a personal budget analysis that enhances the accuracy of financial tracking by offering users a comprehensive overview of their spending habits, complemented by detailed reports and visualizations. Ultimately, this project serves as a financial companion, empowering users to take control of their finances, make informed decisions, and achieve their financial goals.

The Effect of Steam Approach to Economics Media Based on Bima Local Wisdom in Elementary Schools

The purpose of this article is to contribute new learning concepts about critical thinking in social sciences, especially economics, as well as the belief that social character is not developed in Indonesian schools. We investigated how primary school teachers self-reported applying what they had learned about economics to their daily social views. With the aid of educational media, this experimental study aimed to ascertain the extent to which the STEAM method influences the meaning of studying economics from early in life. According to the findings, very few pupils comprehend how economics affects both the environment and them in day-to-day living. Not only did we discover that the STEAM technique had a significant effect on pupils' thinking processes. However, they also discover the impact of their characters. There are significant differences in the level of understanding of learning, one of which is influenced by local wisdom. The implications of these findings for sharpening primary school pupils' comprehension of social science courses are explored. We suggest that social science learning be implemented using many of the latest approaches. Focusing on improving character based on local culture is not enough to use the traditional approach that has been implemented so far.

Didactic and Psychological Principles of Successful Design of Serious Games

In this paper, a systematic, evidence-based overview of didactic and psychological design principles is provided, which have a significant impact on the learning success of Serious Games. Design criteria are described that relate to the structure of games, the principle of learning through play, interaction regarding usability and playability, as well as motivation with the necessary game incentives. Furthermore, perspectives on the future development of Serious Games are outlined, focusing particularly on the implementation of concepts of adaptive e-learning and AI-supported learning.

Learning by doing: a role theoretical approach to learning of inter-governmental organizations

ABSTRACT Inter-governmental organizations (IGOs) have proliferated since World War II and have evolved into significant social actors shaping global governance. It contends that IGOs, through roles, contribute to the dense network of social expectations, adding a nuanced layer beyond the structural aspects of the international system. The article asserts that IGOs, confronted with changing global dynamics, engage in organizational role learning (ORL) to manage state role conflicts and contribute to international order. While existing scholarship often references roles descriptively, this article advocates for a roles-based perspective, positioning it within the social constructivist paradigm. The article introduces the concept of organizational role learning (ORL) and applies it to case studies on ASEAN and the African Union, revealing shifts in role conceptions and emphasizing the crucial role of ORL in maintaining organizational efficacy. The study contributes to understanding the intricate interplay between IGOs, their roles, and the evolving global landscape.

Enhancing real-time urban drainage network modeling through Crossformer algorithm and online continual learning

This study presents an innovative approach to real-time modeling of urban drainage networks, leveraging a highly accurate coupled one- and two-dimensional hydrodynamic model to generate a training dataset for node water levels. By employing global states inferred from monitoring points as model inputs, this study overcomes the limitations imposed by the scarcity of monitoring data and the challenge of capturing all node levels. The Crossformer algorithm, which simultaneously accounts for correlation at both temporal and feature scales, is applied to enhance the precision of simultaneous water level predictions across the network. Comparative analysis of different prediction patterns reveals that extending predictions based on a high-accuracy infrastructure offers more benefits than direct modifications to the algorithm's structure. In addition, this paper pioneered the application of online continuous learning concepts to update the prediction model in real time, achieving a balanced integration of measured and simulated data. Consequently, this paper establishes a complete monitoring-predicting-updating real-time simulation system for urban drainage networks.

Strengthening teacher competence through joyful learning and innovative learning media training

A needs assessment at Muhammadiyah Middle School 9 Tanggulangin revealed that teachers struggle with creating interactive learning environments and developing innovative teaching materials. To address these challenges, a training program was conducted to enhance teachers' pedagogical skills, creativity, and motivation. The program consisted of two key activities: joyful learning training and training in the development of creative and innovative learning media. The process included several stages: preparation (needs assessment, program design, material development, and pre-test), implementation (intensive training on joyful learning and innovative media development), and evaluation. The training involved 12 teachers (4 men and 8 women). The results showed significant improvements in teachers' understanding of joyful learning concepts and their ability to create creative and innovative learning materials. This program highlights the importance of adopting innovative and enjoyable teaching strategies to enhance teacher competence and improve student learning experiences. The initiative demonstrated that targeted training could effectively address the challenges teachers face, leading to better educational outcomes.