Learning Process Research Articles

Integration of Mobile Learning in Rifdarmon Model to Improve Student Learning Outcomes

Mobile learning utilizes mobile technology, such as smartphones, tablets, and other mobile devices, to facilitate a flexible and collaborative learning process. This research aims to implement the integration of mobile learning into the Rifdarmon model in the learning process and evaluate the effectiveness of mobile learning integration into the Rifdarmon model in improving student learning outcomes in the Sensors and Transducers course. This research uses a quantitative approach with an experimental method. The subjects in this study are active students in the Automotive Engineering Department of Padang State University taking the Sensors and Transducers course. The sampling technique used is cluster random sampling, where the researcher randomly selects two classes, the control and experimental classes. Then all students in the selected clusters become the sample. The data in this study were collected based on the pre-test and post-test scores obtained by students in the Sensors and Transducers course. Based on the results and discussion, the implementation of mobile learning integration into the Rifdarmon model in the learning process was successfully carried out in this research. There was a significant increase in learning outcomes for students after following the learning process, both with the conventional learning model (control class) and mobile learning integration into the Rifdarmon model (experimental class).

The Effectiveness of Using Edlink in Increasing Student Motivation to Learn at Nusa Putra University

This study aims to determine the effectiveness of using Edlink on learning motivation of Nusa Putra University students. The research method used is qualitative interview with respondents as many as 20 students of Nusa Putra University who use Edlink as a learning media. The results showed that the students felt that Edlink helped them to be more active and organized in learning. The use of Edlink at Nusa Putra University has had a significant impact on students' learning process. Based on the interviews conducted, students generally see Edlink as a practical and efficient platform, capable of supporting their lecture needs. The main advantages perceived by students are the ease of access, flexibility, and integration of features that help organize assignments and lecture materials well.

Learning pathways of necessity and opportunity-driven women entrepreneurs: a qualitative study

Purpose This paper aims to provide insights into the learning approaches of necessity (NEC)-driven and opportunity (OPP) driven women entrepreneurs (WEs) in the Indian context. It investigates the various pathways small business owners use to acquire knowledge and develop competencies. Additionally, it examines the potential differences between the two groups to better understand their learning processes. This understanding, particularly from the perspective of an emerging nation, can inform policymakers, WE organizations, NGOs and families in creating a supportive environment that fosters positive and effective learning experiences for WEs. Design/methodology/approach Qualitative research study using semi-structured, in-depth interviews with 16 micro, small and medium enterprises entrepreneurs in the state of Karnataka, India. Thematic analysis was used to draw out the themes from the rich textual data collected using the computer assisted qualitative data analysis software (CAQDAS) tool, ATLAS.ti 23. Findings Thematic analysis identified four major themes, namely, routinized learning, learning through critical experiences, self-driven mechanisms and learning from others. The findings reveal that NEC and OPP women entrepreneurs do not greatly differ in their pathways to learning except for some minor dissimilarities. Originality/value This study provides a unique viewpoint on the learning mechanisms of women entrepreneurs in small businesses in the context of an emerging economy. It additionally deliberates on the similarities and differences among NEC and OPP motivated WEs, where studies are rare.

Do children match described probabilities? The sampling hypothesis applied to repeated risky choice

One way in which children can learn about probabilities of different outcomes before making a decision is from description, for instance, by observing graphical representations of frequency distributions. But how do repeated risky choices develop in early childhood when outcome probabilities are learned from description? Integrating previous findings from children’s sampling processes in causal learning and adults’ repeated choice behavior, we investigated repeated choices from 201 children aged 3 to 7 years and 100 adults in a child-friendly risky choice task. We expected young children to probability match and predicted that the perceived dependency between choices would shape the underlying choice process. However, the assumed cognitive processes derived from the causal learning and risky choice literature did not generalize to children’s or adults’ repeated risky choices when outcome probabilities were learned from graphical representations prior to making a decision. Moreover, choice behavior did not differ as a function of the perceived dependency between guesses. Instead, children broadly diversified choices, and switching between options dominated older children’s choice behavior. Our results contribute to increasing evidence of childhood as a phase for heightened exploration and highlight the importance of considering the learning format when studying repeated choice across development.

Pre-stimulus Activity Mediates Event-Related Theta Synchronization and Alpha Desynchronization During Memory Formation in Healthy Aging

Abstract The capacity to learn is a key determinant for the quality of life but is known to decline to varying degrees with age. However, despite mounting evidence of memory deficits in older age, the neural mechanisms contributing to successful or impeded memory remain unclear. Previous research has primarily focused on memory formation through remembered versus forgotten comparisons, lacking the ability to capture the incremental nature of learning. Moreover, previous EEG studies have primarily examined oscillatory brain activity during the encoding phase, such as event-related synchronization (ERS) of mid-frontal theta and desynchronization (ERD) of parietal alpha, while neglecting the potential influence of pre-stimulus activity. To address these limitations, we employed a sequence learning paradigm, where 113 young and 117 older participants learned a fixed sequence of visual locations through repeated observations (6423 sequence repetitions, 55 '944 stimuli). This paradigm enabled us to investigate mid-frontal theta ERS, parietal alpha ERD, and how they are affected by pre-stimulus activity during the incremental learning process. Behavioral results revealed that young subjects learned significantly faster than older subjects, in line with expected age-related cognitive decline. Successful incremental learning was directly linked to decreases of mid-frontal theta ERS and increases of parietal alpha ERD. Notably, these neurophysiological changes were less pronounced in older individuals, reflecting a slower rate of learning. Importantly, the mediation analysis revealed that in both age groups, mid-frontal pre-stimulus theta partially mediated the relationship between learning and mid-frontal theta ERS. Furthermore, the overall impact of learning on parietal alpha ERD was primarily driven by its positive influence on pre-stimulus alpha activity. Our findings offer new insights into the age-related differences in memory formation and highlight the importance of pre-stimulus activity in explaining post-stimulus responses during learning.

Achieving sustainability development goals of quality education through “VIDGRATION” method

Flexible teaching by applying the “VIDGRATION” method, a video-based teaching tool used explicitly for non-law students, is one of the efforts to support the Sustainable Development Goal (SDG) 4 of Quality Education. This study investigates the effectiveness of the “VIDGRATION” method in improving non-law students’ understanding of a law-related subject. Non-law students mostly face difficulty with law-related subjects due to their unfamiliarity with law terms and wording. Therefore, these students cannot understand the lesson and score poorly during examinations. The “VIDGRATION” method is being introduced to facilitate the non-law students’ learning process. This qualitative study was undertaken toward 99 non-law students who enrolled on the Human Resource Management subject. This intervention study was conducted in three stages: problem identification, intervention and evaluation. All data were triangulated from the instructor’s and students’ reflections, focus group interviews, and comparisons between the pre-and post-quiz results. The results show that the “VIDGRATION” method has successfully improved the non-law students’ understanding of law-related subjects. In addition, the non-law students also enhance their cognitive skill, time management skills, readiness to study and develop critical thinking skills when applying real working scenarios.

Effectiveness of AV-Aids in Teaching and Learning Purpose: A Tool for Better Student Engagement

Educators are exploring innovative methods to enhance teaching and learning outcomes by integrating audio-visual aids. These tools have revolutionized information delivery and can improve the learning process by captivating students through visual and auditory stimulation. The research investigated the effects of audio-visual aids on the academic performance of students in Faisalabad, with a focus on their efficacy in influencing student motivation and satisfaction. The objectives for the current study include:1. To explore the effectiveness of audio-visual aids in the teaching and learning process.2. To explore the impact of audio-visual aids on the motivation/satisfaction of the students. A descriptive study was carried out using a custom questionnaire, involving a sample of 220 students. Furthermore, the research highlighted a moderate impact of audio-visual aids on student performance and motivation.

Didactic student workbook in human anatomy and physiology: Implementation in undergraduate biology education

A didactic student workbook has been used to teach human anatomy and physiology. The didactic workbook has significantly reduced the disparity between teaching materials and students. It accommodated all student learning styles, integrated with asma al-husna (the best names are based on the characteristics of God). This workbook also integrates contemplative exercises. The purpose of this study was to investigate the learning outcomes and responses of students after utilizing the didactic workbook in their learning process. The study used a quasi-experimental methodology with a pre-test-post-test control group design. It involved 31 biology education students from UIN Mahmud Yunus Batusangkar. The experimental group was given homework assignments to complete in the didactic workbook, whereas the control group was given the task of summarising and answer the questions in the textbook. Both groups used the discussion method during in-class learning. Essay tests and students response questionnaires were used to collect data. The t-test was used to compare the N-gain of learning outcomes between the experimental and control groups. Descriptive analyses were conducted to examine student responses. The didactic workbook was significantly effective (p<0.05) in improving learning outcomes compared to the control class. The didactic student workbook was also responded to very positively by students. These findings indicate that a didactic student workbook has the potential to improve learning outcomes and interest in the learning of biology.

Ability to learn – from ancient to contemporary key competence

The aim of the sketch is to discuss the historiographical aspects of the learning competence. The diaries of Hadrian, a Roman emperor who is considered to be one of the five best Roman rulers, are the starting point of the presented analysis. In his diaries he describes his experience as a schoolboy from the sage’s perspective and the very experience seems to be the reason to indicate the origins of the contemporary school and the concept of the learning competence being incorporated into the educational system. Storytelling, giving a speech, creating a narrative have been a crucial aspect of the learning process ability since the ancient times. Modern storytelling proponents consider the ancient rhetorical art, ars bene dicendi, to be fundamental. Contemporary Polish school may often seem to disapprove of the student’s story due to the fact that curriculum, exams and the teacher’s story are its focal points. Antiquity, which is allegedly perceived as the foundations of our civilisation, is permeated by rhetorical art in politics, culture, law and last but not least education.

The place of emotions in language education from an emotional intelligence perspective

The significance of emotions in language education is increasingly acknowledged as a crucial element that impacts both teaching and learning. This article delves into the role of Emotional Intelligence (EI) in enhancing the language learning experience, emphasizing the importance of perceiving, using, understanding, and regulating emotions. Educators, as integral to the learning process, can cultivate more inclusive, supportive, and effective learning environments by integrating emotional awareness and regulation strategies into language teaching. This holistic approach to language education intertwines cognitive and emotional development, emphasizing the practical implications for educators in fostering EI in the language classroom to improve learner engagement and success.

Theatre in social work education (TIS WE): A pedagogy for living critical-radical social work to bridge the micro-macro divide

ABSTRACT The purpose of this paper is to provide a brief account of my journey to implement applied theater in an elective social work education course in New York City, encouraging creativity, risk-taking, and methods for challenging oppression. The experience described supported my process of becoming a creative educator and my pedagogy for teaching critical-radical social work. Critical social work incorporates dialogue and self-reflection to excavate the roots of dehumanization. Radical social work uproots dehumanizing (internal and external) ideologies and practices of dominance (e.g. racism, transphobia, colonialism, white supremacy). Theatre in social work education (TIS WE) an active experiential learning process sets the stage for bringing critical-radical social work education to life by incorporating aesthetic distance, liminal space, intersectionality and embodied practice, scaffolding, and radical imagination. These components develop awareness of micro to macro processes and consequences; and demand holistic problem solving of bio-psycho-social-cultural conundrums, epitomizing critical-radical social work pedagogy. After earning my PhD and becoming a professor, I felt competent as a scholar-activist. However, I developed my identity, designed my practice, and honed my skills as a creative educator while simultaneously playing the roles of student in the Master of Arts in Applied Theatre (MAAT) program and social work educator.

Experiencing Loneliness in Motherhood

Introduction: Motherhood is a lifelong learning process. Becoming a mother involves huge changes and a major shift in identity. We usually don’t pair loneliness with motherhood, but researchers have found that motherhood could be filled with lonely feelings. A study by the British Red Cross found that more than 83% of mothers under 30 years old feel lonely at some time. Even before COVID, one study found that more than 90 percent of moms reported feeling lonely after having kids, over one-third said they cried regularly, and more than half suffered from anxiety. This study aims to determine the problems with loneliness in motherhood and how they influence the whole family’s long-term growth and wellness. Methods: PubMed and Google Scholar were searched using the following keyword: (loneliness) AND (motherhood) AND (mental health) AND (maternal) using the journal publication filter for the 2018-2023 issue. Review: Loneliness isn’t only a concern for mothers but also for all family members. Mothers who experience a high degree of loneliness are likely to be depressed, which in turn leads to decreased self-esteem and poor health, and consequently the poor health of their children. Stronger involvement of the mother’s family, friends, and other support systems should be promoted. Conclusions: Researchers should pay attention to the facts that building close connections with others can stop social isolation in mothers from taking a toll on their mental health Keywords: Loneliness, Motherhood, Mental Health, Maternal

The role of artificial intelligence in personalisation of the learning process

The study aims to empirically test the role of artificial intelligence in personalizing student learning through surveys, quantitative and qualitative data analysis, and modeling. To determine the role of artificial intelligence in personalizing the educational process, a survey of students was conducted on the organization of the educational process using artificial intelligence (format, form of education, educational environment, consulting communication tools, motivations). Based on the preferences and requests of students, an experimental program of personalized learning was generated and tested. The participants of the educational process were asked to evaluate the role of artificial intelligence in personalizing learning by the following criteria: motivation to learn, level of educational outcomes, productivity of communication in the teacher-student system, convenience and accessibility of education. Most participants in the educational process noted the positive impact of the experimental personalized learning program developed using artificial intelligence based on their requests due to its convenience and accessibility, as well as the productivity of communication in the teacher-student system. The study's results can be used in the educational process of higher education institutions of other profiles. The prospect of research is to develop recommendations for using artificial intelligence tools to prepare personalized learning programs in higher education.

Utilization of the use of technological devices in delivering communication information in the learning process

The development of increasingly sophisticated technology today brings education to participate in using the features available in today’s media such as the transition from face-to-face learning communication in schools to face-to-face assisted by technology such as laptops, tablets, cellphones and other multimedia. Technology currently provides innovation in the learning process both from home and from school. However, there are still many teachers and students who have not utilized technology such as laptops, tablets, cellphones and other multimedia in the learning process. The purpose of the study was to analyze the benefits and relationships of the four main variables of communication assessment elements with digital devices. The research method used was quantitative with a sample of 148 teachers randomly selected from schools that use technology in the learning process. Data collection techniques with instruments. The instruments used were four indicator instruments, namely technology from laptops, tablets, cellphones and other multimedia. Data analysis techniques with descriptive statistics using SPSS version 26.0 calculated the mean, standard deviation, and correlation test. The results of the study found that the four indicators had high reliability and the four indicators had significant utilization, were mutually positive and had a high relationship with each other. The conclusion is that the four technological devices are good for use in digital communication during the learning process and laptops and tablets are more recommended in this study.

Analisis Miskomunikasi Dalam Proses Pembelajaran Di Lingkungan Sekolah: Studi Kasus SMP Negeri 5 Curug Kabupaten Tangerang Tahun 2024

This research aims to analyze miscommunication in the learning process at SMP Negeri 5 Curug, Tangerang Regency in 2024. Miscommunication is one of the factors that can have an impact on the effectiveness of the learning process and the achievement of student learning outcomes. This research uses a qualitative approach with a case study method. Data was collected through observation, in-depth interviews and documentation of teachers, students and other related parties at SMP Negeri 5 Curug. Data analysis was carried out using descriptive qualitative analysis techniques to identify forms of miscommunication, causal factors, and their impact on the learning process. The research results show that miscommunication occurs in various forms, such as misunderstanding of instructions, different interpretations of material, hybrid online learning systems, small class sizes and lack of two-way communication between teachers and students. Factors causing miscommunication include lack of literacy among students, network factors, and limited facilities and infrastructure. The impact of this miscommunication is decreased student motivation to learn, low participation in class, and achievement of learning outcomes that are not optimal.

Research trends about Visual Basic as a programming language in the learning process: a bibliometric analysis

Research trends about Visual Basic as a programming language in the learning process: a bibliometric analysis

Comparison on Applications and Impact of AI in English Grammar Learning

English grammar plays an important role in the learning of English language skills. However, it has always been challenging for students to understand grammar right from school. Complicated rules make the learning process even harder. Teachers have tried to come up with many ways to make the learning process interesting and simple yet there exists a gap. Artificial Intelligence bridges the gap and achieves the goal of attaining grammar learning in interesting ways. The integration of artificial intelligence (AI) in grammar learning applications represents a transformative approach to language education. Many applications focus on teaching grammar by gamifying the learning process. AI-powered applications provide personalized learning experiences, immediate corrective feedback, and adaptive difficulty adjustments, leading to improved grammatical competence and sustained user engagement. This research attempts to make a comparative study of English grammar learning platforms and applications by analyzing their impact on the autonomous learning of students. Applying AI has been considered learner-centric as it stimulates learning and fascinates the learners with expected learning outcomes.

Dreams and fears in the process of creative thinking in children from areas affected by the armed conflict in Colombia

The development of creativity and creative thinking in early school-age children is a strategy to foster future capabilities for innovation and change. It is also a strategy to instill resilience in these children, enabling them to face the challenges posed by the various environments that surround teaching and learning processes. This article analyzes the dreams and fears expressed by children from educational institutions located in municipalities affected by the armed conflict in Colombia, within the framework of a route designed to develop creativity and innovative thinking. A qualitative narrative analysis methodology was used to characterize and analyze the narratives of 68 co-creativity teams, involving 408 children. The results show that the narratives are influenced not only by the context in which the children live but also by the consequences of the armed conflict in the areas where the schools are located. The findings suggest that educational strategies like the one studied must incorporate elements that allow for adaptation to the context from the design stage, with a differential approach, to generate the expected positive effects in the territories where they are implemented.

Application of Extreme Machine Learning for Smart Agricultural Robots to Reduce Manoeuvering Adaptability Errors

The agricultural robots limit complicated manoeuvring jobs, reducing the need for human intervention. Automation and control of these robots are performed by observing and practising the crop type, regulations, and external weather conditions. This article proposes and discusses a Manoeuvering Adaptable Task Processing Model (MATPM). This model is designed to improve the adaptability and precision of agricultural robots coinciding with farming and climatic conditions. For this purpose, extreme machine learning is employed to learn, align, and respond to external conditions to improve precise manoeuvring. The external impacting features and their adaptability to the crop and climatic conditions are valued using the learning process. In this process, maximum adaptability is considered to improve precision agriculture. The tasks are then classified based on adaptability and executed sequentially. If an unpredictable impacting factor hinders a task, then the adaptability is paused from training and it improves the chances of training by using different completed and paused tasks from the previous manoeuvring processes. Therefore, precision in smart farming and robot system adaptability is ensured with fewer adaptability errors. From the comparative assessment, the proposed model improves adaptability by 8.71 % and precision by 11.44 %, with 8.96 % less adaptability error for various tasks/ day.

Automatic kidney disease prediction using deep learning techniques

The kidneys play an energetic role in eliminating excess products and fluids from the body, by a complex mechanism which is crucial for upholding a stable balance of body chemicals. Chronic kidney disease (CKD) is considered by an unhurried weakening in renal function that may eventually result in kidney injury or failure. The difficulty of diagnosing the illness rises as it worsens. However, using data from normal medical visits to evaluate the various phases of CKD could help with early detection and prompt care. Researchers suggest a classification strategy for CKD along with optimization strategies used in the learning process. The incorporation of artificial intelligence offers promise because it may often astonish with its skills and enable seemingly difficult undertakings. Modern machine learning techniques have been developed to detect renal illness in light of this. In the current study, a new deep learning model for CKD initial recognition and prediction is introduced. The main objective of the project is to build a strong deep neural network (DNN) and estimate its result outcomes in comparison to other leading-edge machine learning techniques. The outcomes demonstrate that the proposed strategy outperforms current approaches and has promise as a useful tool for CKD detection.