Learning Process Research Articles

Penerapan Media Pembelajaran Videoscribe pada Materi Sistem Reproduksi Manusia Kelas XI

The purpose of this study is to explore the results of the application of videoscribe media in the context of learning the human reproductive system. The method in this article uses a qualitative approach with a literature study method. The main purpose of the search is to obtain a theoretical basis and a framework of thinking. The main source of data for this research is scientific articles published in various scientific journals and indexed on the google scholar database. Data analysis that qualitative data analysis consists of data reduction, data presentation, and conclusion drawing. The results of this study confirm that the application of videoscribe media in the learning process has very meaningful benefits. This media can increase student motivation and engagement, which ultimately results in a deeper understanding of the material. This has an impact on a significant increase in student learning outcomes. In addition, the use of videoscribe provides an opportunity for teachers to better understand the effectiveness and efficiency of these media in learning, so that they can better adjust teaching strategies to achieve optimal student learning outcomes. Practically, the use of videoscribe media stimulates students' motivation and participation in learning, as well as increases their involvement in understanding the subject matter

Reinforcement learning of altruistic punishment differs between cultures and across the lifespan.

Altruistic punishment is key to establishing cooperation and maintaining social order, yet its developmental trends across cultures remain unclear. Using computational reinforcement learning models, we provided the first evidence of how social feedback dynamically influences group-biased altruistic punishment across cultures and the lifespan. Study 1 (n = 371) found that Chinese participants exhibited higher learning rates than Americans when socially incentivized to punish unfair allocations. Additionally, Chinese adults showed slower learning and less exploration when punishing ingroups than outgroups, a pattern absent in American counterparts, potentially reflecting a tendency towards ingroup favoritism that may contribute to reinforcing collectivist values. Study 2 (n = 430, aged 12-52) further showed that such ingroup favoritism develops with age. Chinese participants' learning rates for ingroup punishment decreased from adolescence into adulthood, while outgroup rates stayed constant, implying a process of cultural learning. Our findings highlight cultural and age-related variations in altruistic punishment learning, with implications for social reinforcement learning and culturally sensitive educational practices promoting fairness and altruism.

Utilization of Media and Technology in Learning Islamic Religious Education

This research explores the use of media and technology in learning Islamic Religious Education in the digital era. The application of modern technology and interactive media has the potential to improve the quality and effectiveness of the PAI learning process. This study will analyze various technological platforms and tools used to deliver PAI material to students. Digital media such as learning videos, mobile applications and e-learning platforms can help improve students' understanding of PAI material. Apart from that, the use of technology also facilitates more interactive and interesting learning, and supports independent learning. This study also emphasizes the importance of educators' readiness to integrate technology into the PAI curriculum and the need for training and support for teachers. Proper use of technological media will bring positive changes in Islamic Religious Education learning

QUILLBOT INTEGRATION IN THE LEARNING OF ENGLISH WRITING SKILLS (PERCEPTION OF BUSINESS MANAGEMENT STUDENTS)

The aim of this research is to find Business Management students perceptions regarding the use of Quillbot as a writing tool for English writing skill improvement This research employs a qualitative case study approach. The research instruments were questionnaire and interview. The questionnaire closed-ended questions utilizing a four-point Likert scale (ranging from Strongly Agree to Strongly Disagree) shared via Google Forms. Additionally, semi-structured interview questions were formulated based on the questionnaire responses. The data obtained from the closed-ended questionnaire questions are quantitatively was analysed through frequency calculations. The total of the population are 40 business management students. The results indicate that AI has the capacity to enhance writing skills by aiding in idea generation, improving critical thinking, preventing plagiarism, and elevating academic writing quality. Consequently, integrating AI into higher education can effectively enhance the quality of writing education, aligning with the digital era's advancements and optimizing the learning process for effectiveness and efficiency.

Parameter sharing fault data generation method based on diffusion model under imbalance data

Abstract Rotating machinery will inevitably fail under long-term heavy load working conditions. Obtaining enough data to train the deep learning model can enable managers to detect and deal with related failures in time, which greatly improves the safety of equipment operation. Mechanical fault samples are often much smaller than healthy samples. Traditional data enhancement methods mostly change the original data, but cannot improve the diversity of its features, so that the number of fault samples becomes larger, but the features remain unchanged. Aiming at the above problems, a diffusion model based on parameter sharing and inverted bottleneck residual structure (DDPM) is proposed. Firstly, the diffusion process gradually covers the original data with Gaussian noise, to learn the corresponding fault characteristics of the original data. In the diffusion process, the parameter sharing attention mechanism is embedded in the learning process of the diffusion process. Then, the feature extraction module is constructed by using the inverted bottleneck residual structure to enhance the learning ability of the network. After obtaining the fault characteristics of the original data, the reverse process of the results restores the Gaussian noise to data with different fault characteristics through the same steps as the diffusion process. By comparing the results of various generation models and analysing the characteristics of the generated data, the feasibility and universality of the proposed method in data augmentation tasks are verified.

Pengembangan Media Pembelajaran Berbasis Power Point Interaktif Pada Materi Sistem Pencernaan Manusia Kelas XI

The purpose of this study is to develop Power Point -based interactive learning media on digestive system material that is valid, practical, and effective. This research is development research using the Research and Development (R&D) development model. This research was carried out in class XI. The instrument used is a validation questionnaire which includes aspects of content feasibility (material), language feasibility, and design feasibility (media), student response questionnaires and learning outcomes. The data analysis in this study was carried out descriptively on all the data obtained. The results of the analysis show that the learning media is also very practical to be used by students. Based on the results of the study, it can be concluded that the media developed is suitable for use in the learning process of the digestive system

Neural reinforcement learning signals predict recovery from impulse control disorder symptoms in Parkinson’s disease

BackgroundImpulse control disorders (ICD) in Parkinson’s disease (PD) are associated with a heavy burden on patients and caretakers. While recovery can occur, ICD persists in many patients despite optimal management. The basis for this inter-individual variability in recovery is unclear and poses a major challenge to personalized health care. MethodsWe adopt a computational psychiatry approach and leverage the longitudinal, prospective Personalized Parkinson Project (N=136 persons with PD, within 5 years of diagnosis) to combine dopaminergic learning theory-informed fMRI with machine learning (at baseline) to predict ICD symptom recovery after two years of follow-up. We focused on a change in QUIP-rs across the entire cohort, regardless of an ICD diagnosis. ResultsGreater reinforcement learning signals during gain trials but not loss trials at baseline, including those in the ventral striatum, medial prefrontal cortex and the behavioral accuracy score measured while ON medication were associated with greater recovery from impulse control symptoms two years later. These signals accounted for a unique proportion of the relevant variability over and above that explained by other known factors, such as decreases in dopamine agonist use. ConclusionsOur results provide a proof of principle for combining generative model-based inference of latent learning processes with machine learning-based predictive modeling of variability in clinical symptom recovery trajectories. Hence, we showed that RL modelling parameters predict recovery from ICD symptoms in PD

Penggunaan Media Pembelajaran Audio Visual pada Materi Sistem Kardiovaskuler/Sirkulasi di Sekolah Menengah Pertama

Biology is one of the subjects that students consider difficult. This difficulty arises because students must memorize the facts, principles, and theories taught by the teacher, without paying attention to the student's need to discover, develop, and apply their own ideas. The use of information technology in learning is an effective solution to overcome low student participation and increase their motivation in the learning process. The purpose of this study is to describe the feasibility of audio-visual media circulation system and describe the effectiveness of audio-visual media in the learning process. This study uses a qualitative approach through a descriptive method. Data analysis is carried out qualitatively consisting of data reduction, data presentation, and conclusion drawing. The results of the study are that the use of audio-visual media in cardiovascular/circulatory materials in the learning of the human circulatory system can increase student activity and learning outcomes. This media can also help convey information more completely and concretely, making it easier for students to understand material that tends to be abstract

Mathematics teaching, learning, and assessment in the digital age

AbstractThe role of teaching, learning, and assessment with digital technology has become increasingly prominent in mathematics education. This survey paper provides an overview of how technology has been transforming teaching, learning, and assessment in mathematics education in the digital age and suggests how the field will evolve in the coming years. Based on several decades of research and educational practices, we discuss and anticipate the multifaceted impact of technology on mathematics education, thus laying the groundwork for the other papers in this issue. After a brief introduction discussing the motivations for this issue, we focus our attention on three lines of research: teaching mathematics with technology, learning mathematics with technology, and assessment with technology. We point to new research orientations that address the issue of teaching with technology, specifically describing attempts to conceptualise teachers’ mathematical and digital competencies, perspectives that view teachers as designers of digital resources, and the design and evaluation of long-term initiatives to support teachers as they develop innovative teaching practices enhanced by digital technologies. Our examination shows that learning with technology is still marked by new conceptualizations raised by researchers that can further our understanding of this complex issue. These conceptualizations support the recognition that multiple resources, ranging from paper and pencil to augmented reality, participate in the learning process. Finally, assessment with technology, especially in the formative sense, offers new possibilities for offering individualised support for learners that can benefit from adaptive systems, though more tasks for conceptual understanding need to be developed.

University Teachers’ and Students’ Perceptions on Autonomous English Learning: A Case of a Private University in Vietnam

Understanding teachers' perspectives on learner autonomy is essential for addressing issues related to autonomous learning, as these perspectives heavily influence instructional approaches and consequently impact the learning experiences of students. With regard to students' perceptions of their English language learning, they are not solely dependent on the teacher; instead, they take ownership of the decisions guiding their own learning process. To promote learner autonomy effectively, educators must simultaneously confront their own apprehensions about relinquishing some control over the classroom environment and improve their communication skills with students. The paper used mixed-method which combined between quantitative and qualitative methods to analyze how the teachers’ and students’ perspectives on autonomous English learning through their teaching and learning styles. The paper surveyed 1000 students and 40 English teachers, all of whom participated voluntarily in the survey. The study aims to assess the specific objectives (1) the level of learner autonomy among a private university (2) the perceptions of English teachers regarding learner autonomy (3) the perceptions of English-majored students regarding learner autonomy (4) the strategies and methods employed in promoting learner autonomy. The findings suggested that the students should enhance their self-directed learning and take more responsibility for their own learning to meet the program's learning outcomes and increase the teachers’ satisfaction.

DNA-Based Practices for Skills Enhancement: The Future of Personalized Learning and Development

The convergence of genetics, neuroscience, and education has led to the emergence of DNA-based practices for skill enhancement, promising to revolutionize personalized learning and professional development. This paper investigates the current state of research and application in this field, aiming to evaluate the potential of genetic information to tailor educational and training programs to individual needs. Recent advancements in genomic research have identified specific genetic variants linked to cognitive abilities, learning capacity, and skill acquisition. These discoveries provide a scientific foundation for personalized education strategies, where genetic profiles can inform customized learning plans. This approach has the potential to optimize educational outcomes by aligning teaching methods with individual genetic predispositions, thereby enhancing memory retention, cognitive performance, and skill mastery. The paper explores several key areas: 1. Genetic Influences on Learning and Cognitive Abilities: An overview of significant genetic markers and their impact on learning processes. 2. Personalized Education Based on Genetic Profiles: Current methodologies and case studies demonstrating the application of genetic information in educational settings. 3. Neurogenetics and Skill Acquisition: The role of specific genes in neuroplasticity and the development of skills, with a focus on empirical studies and practical implementations. Methodologically, this research synthesizes findings from academic literature, surveys, and interviews with experts in genetics and education. A comparative analysis is conducted between traditional learning approaches and DNA-informed strategies to assess their effectiveness in various contexts. The findings indicate that DNA-based personalized learning can lead to significant improvements in educational and professional outcomes. Examples include tailored learning programs that cater to genetic predispositions, resulting in enhanced cognitive abilities and faster skill acquisition. However, the implementation of these practices is not without challenges. Ethical considerations, such as privacy concerns and the potential for genetic discrimination, must be addressed. Moreover, the current limitations of genetic research necessitate cautious and well-regulated application of these insights.

Technostress and time spent online. A cross-cultural comparison for teachers and students

IntroductionResearch shows that ICT is beneficial for academics and students, aiding in overcoming distance barriers, streamlining administration, and improving teaching and learning processes. However, the negative impact of technology, particularly technostress, are garnering attention. In the context of the concerns about technostress among higher education institutions (HEI), the aim of the study is to analyze the technostress creators and inhibitors for university teachers and students in different European countries. The topical concept of digital well-being is seen as “a subjective individual experience of optimal balance between the benefits and drawbacks obtained from mobile connectivity, focusing on the personal perception of what amount of time spent using technology is optimal so that well-being is preserved”.MethodTo explore specific aspects related to use of technology, two – parallel online surveys for academics (N = 446) and students (N = 660) from four European countries (Romania, Germany, Norway, and Finland) were conducted between November 2022 – January 2023. The surveys included the Technostress scale and the Technostress Inhibitors Scale, the Technology self-efficacy Scale, and a questionnaire focusing on socio-demographic aspects, work experience, academic field, dimensions related to the actual use of technology and participants perception on the optimal use of technology for work, learning or personal tasks, in terms of the period of day/week and amount of time spent. We also inquired about the social support given and received when using technology and the formal and informal rules, expectations, policies, punishments, and rewards regarding the use of technology.ResultsThe findings suggest that the perceived optimal use of technology is significantly lower than the actual use for all the contexts. Overuse of technology was associated with technostress. Our results also showed that technology self-efficacy and social support from colleagues and teachers are negatively associated with technostress. Country differences regarding technostress and time spent online were also observed.DiscussionsDespite the needed caution in interpreting the results because of the unbalanced sample size across countries, the results could be used to develop research and support interventions within European countries to promote digital well-being, a better work-life balance with further positive effects on academic satisfaction and work/learning productivity.

PHYSICS EDUCATION TECHNOLOGY (PhET) SIMULATION AS AID IN INSTRUCTION IN LEARNING CHEMISTRY: AN EXPERIMENTAL APPROACH

The objective of this study was to evaluate the influence of the inclusion of Physics Educational Technology (PhET) Simulations as an aid in instruction in learning chemistry to the Grade 10 learners at Sinobong National High School, a public secondary school in Agusan del Sur. A quantitative study involving pretest-posttest quasi-experimental design was employed to validate the proposed hypotheses. There were 80 participants randomly assigned to the control and experimental groups. The instruments used for data collection were a validated 50-item pre-test/post-test adapted from the Grade 10 Teachers’ Guide unified test in the K to 12 science curricula used by the secondary schools. In addition, the mean score and t-test statistical analysis were used to analyze the given data. The results showed a substantial difference between the experimental and control groups' post-test scores. The data support the claim that PhET Simulation significantly influences students' academic attainment compared to a traditional teaching strategy. The researcher suggested that teachers should involve Phet Simulation in their classroom instructions and learning process, and administrators should provide more professional development, workshops, and training to abreast the technological advancement of Phet in chemistry learning. KEYWORDS: MAED, Teaching Science, PhET Simulation, traditional teaching strategy, academic attainment

Relationship among group learning, individuals’ and groups’ internalization of evidence-based practice, and nurses’ sustainment of the practice: a cross-sectional study

PurposeThis study, by applying the feedback process of the organizational learning model, examined the relationships among group learning, individuals’ and groups’ internalization of institutionalized evidence-based practice (I-EBP), and nurses’ sustainment of I-EBP.Design/methodology/approachTwelve hospitals were included in this cross-sectional study, with 1,741 nurses from 59 wards. Anonymous questionnaires were administered from October to December 2021. Participants self-reported their wards’ group learning, internalization of I-EBP, sustainment of I-EBP, EBP beliefs, intra-hospital transfers, and nursing research experiences. The number of nurses and I-EBP introduction length and type of I-EBP were assessed. Internalization of I-EBP of nurses and groups was considered the mediating variable, while group learning and nurses’ sustainment of I-EBP were the independent and dependent variables, respectively. Significant variables in bivariate analyses were used as control variables. Multi-level Mediation Analysis and a significance test of indirect effect using the bootstrap method were conducted.FindingsResponses from 360 nurses in 48 wards from 12 hospitals were analyzed. Groups’ internalization of I-EBP significantly mediated the relationship between group learning and nurses’ sustainment of I-EBP. In contrast, no significant mediating effect of nurses’ internalization of I-EBP was observed.Originality/valueIn the feedback process of organizational learning, group learning and its subsequent effects on individuals and groups have not been previously examined. Regardless of the nurses’ degree of internalization of I-EBP, those who belong to the ward with a high degree of internalization of I-EBP are more likely to sustain it. Conducting group learning may prevent superficial practice, resulting in its sustainability.

Purkinje cell models: past, present and future

The investigation of the dynamics of Purkinje cell (PC) activity is crucial to unravel the role of the cerebellum in motor control, learning and cognitive processes. Within the cerebellar cortex (CC), these neurons receive all the incoming sensory and motor information, transform it and generate the entire cerebellar output. The relatively homogenous and repetitive structure of the CC, common to all vertebrate species, suggests a single computation mechanism shared across all PCs. While PC models have been developed since the 70′s, a comprehensive review of contemporary models is currently lacking. Here, we provide an overview of PC models, ranging from the ones focused on single cell intracellular PC dynamics, through complex models which include synaptic and extrasynaptic inputs. We review how PC models can reproduce physiological activity of the neuron, including firing patterns, current and multistable dynamics, plateau potentials, calcium signaling, intrinsic and synaptic plasticity and input/output computations. We consider models focusing both on somatic and on dendritic computations. Our review provides a critical performance analysis of PC models with respect to known physiological data. We expect our synthesis to be useful in guiding future development of computational models that capture real-life PC dynamics in the context of cerebellar computations.

Relationship between Organizational Learning and Supply Chain Agility on Organizational Performance: A Quantitative Study in Fashion SMEs

Supply Chain Agility (SCA) is recognized as a crucial component in fostering organizational agility, offering a competitive and expansionary strategy for businesses. However, the impact of SCA on organizational performance, particularly in the fashion industry, remains underexplored. This study aims to investigate how learning and agility within the supply chain affect the performance of fashion SMEs, providing a comprehensive understanding of these dynamics. Employing a quantitative approach, data were collected through a questionnaire from 180 fashion SMEs in the Special Region of Yogyakarta, with responses obtained from managers in the fashion industry sector. This methodological choice ensures that the insights gathered are both relevant and specific to the targeted industry. A Structural Equation Modeling using Partial Least Squares (SEM-PLS) was utilized to test the hypotheses, focusing on both the direct and indirect effects of internal and external learning dimensions on organizational performance. The findings reveal that both learning and supply chain agility significantly enhance the performance of fashion SMEs, underscoring their importance in boosting organizational effectiveness. Specifically, the study highlights that internal learning processes and external knowledge acquisition are both critical in fostering a more agile and responsive supply chain. These results contribute to the understanding of how SMEs in the fashion sector can leverage learning and agility to improve performance, supporting the development of more effective supply chain strategies. Consequently, the study's hypotheses are validated, providing valuable insights for practitioners and researchers in the field. This research underscores the potential for fashion SMEs to enhance their competitive edge and operational efficiency through strategic learning and agile supply chain management.

Robotic caudo-peripheral approach for liver parenchymal transection in anatomical liver resections for hepatocellular carcinoma

Liver parenchymal transection is a challenging step during hepatic resection, particularly when using robotic platforms that require specific skills to optimize this phase. Pedicle division at the beginning of the liver parenchyma helps to better identify the resection plane and minimizes blood loss. The three-dimensional (3D) high-definition vision and the robotic Maryland allow for clear identification of the hepatic pedicles that could be dissected or divided without the need for a laparoscopic ultrasonic dissector. The caudo-peripheral technique, combined with the Maryland bipolar Kelly clamp crushing technique, is a useful approach to complete parenchymal transection and achieve safe anatomical resections in cases of hepatocellular carcinoma (HCC) with multi-pronged bleeding control. This is essential for expediting the procedure, reducing the number of intermittent clamping times, and minimizing the risk of ischemia-reperfusion injury. In this setting, perfect synchronization between the surgeon operating at the console and the bedside assistant is crucial. Advances in artificial intelligence (AI) systems have shown great potential to redefine clinical care management, preoperative planning, and intraoperative decision making for patients with HCC. This paper describes the most relevant details of our technique, its theoretical background, advantages, and limitations. Moreover, minimally invasive surgery offers the opportunity to share surgical experiences and technical progress through multimedia videos. This represents a modern and effective teaching tool to accelerate the learning process and overcome the challenges of the most complex procedures by offering surgeons various solutions to common technical problems.

Hakikat Belajar dan Pembelajaran dalam Konteks Pendidikan

This article aims to find out the understanding of the nature of learning and how learning helps teachers and education practitioners in designing an effective and development-oriented learning process. The research uses methods in qualitative form. The research method includes literature study by conducting literature searches related to learning and educational concepts. The main source of this research data is research articles published in scientific journals and indexed on the google scholar database. The results of the data analysis will be interpreted to explore their implications in the context of learning and education. The findings of this study are that learning and learning are two essential elements that complement each other in the educational process. Learning involves relatively permanent changes in behavior or potential behaviors as a result of experience, while learning is a more structured process designed to facilitate learning. A good integration of learning theory and learning practices in the curriculum allows students to not only acquire knowledge and skills but also develop positive attitudes and moral values. A well-designed learning design must pay attention to students' needs, interests, and learning styles, and focus on achieving the educational goals that have been set

Evolving role of public-private stakeholders in technology mediated teaching

Purpose Post-pandemic sovereign authorities in several economies have nudged primary education institutions to adopt platform-based teaching. The shift to platform technology attempts to ensure continuity in the teaching–learning process. In the context of predominantly digitally mediated teaching process, this shift may exacerbate disparities and social injustice by limiting access to primary education in resource-constrained developing economies. The purpose of this study is to explore the efficacy of such a digital framework provided by government and private partners and the challenges faced by the teachers in absence of proper scaffolding. Design/methodology/approach Using an integrative theoretical framework that is composed of capability theory, technology adoption theories and the scaffolding framework, this paper analyses the challenges faced by primary school teachers when adapting to platform-based teaching. Social media analytics along with text analytics using Natural Language Processing and latent Dirichlet allocation-based topic modelling approach to extract latent topics or themes used by users during their tweets related to e-teaching. Findings The findings of this study highlight that adopting a platform-based and hybrid approach improves access to education and flexibility and highlights the importance of scaffolds in achieving desired learning outcomes. EdTech companies can play a significant role through private-public partnership models to offer technical scaffold. Collaborative efforts between educational institutions and EdTech service providers are essential for ensuring the long-term sustainability of platform-based teaching and learning. Originality/value After the pandemic, there has been no published literature available which examined the role of scaffolds and EdTech companies in ensuring digital ecosystem for better teaching–learning outcome through platforms.

Evolving role of public-private stakeholders in technology mediated teaching

Purpose Post-pandemic sovereign authorities in several economies have nudged primary education institutions to adopt platform-based teaching. The shift to platform technology attempts to ensure continuity in the teaching–learning process. In the context of predominantly digitally mediated teaching process, this shift may exacerbate disparities and social injustice by limiting access to primary education in resource-constrained developing economies. The purpose of this study is to explore the efficacy of such a digital framework provided by government and private partners and the challenges faced by the teachers in absence of proper scaffolding. Design/methodology/approach Using an integrative theoretical framework that is composed of capability theory, technology adoption theories and the scaffolding framework, this paper analyses the challenges faced by primary school teachers when adapting to platform-based teaching. Social media analytics along with text analytics using Natural Language Processing and latent Dirichlet allocation-based topic modelling approach to extract latent topics or themes used by users during their tweets related to e-teaching. Findings The findings of this study highlight that adopting a platform-based and hybrid approach improves access to education and flexibility and highlights the importance of scaffolds in achieving desired learning outcomes. EdTech companies can play a significant role through private-public partnership models to offer technical scaffold. Collaborative efforts between educational institutions and EdTech service providers are essential for ensuring the long-term sustainability of platform-based teaching and learning. Originality/value After the pandemic, there has been no published literature available which examined the role of scaffolds and EdTech companies in ensuring digital ecosystem for better teaching–learning outcome through platforms.