Innovative Learning Research Articles

Driving SME growth and learning effectiveness: The role of analyzer orientation, learning capability, and innovation

This study, drawing on the Knowledge-Based View (KBV) and Contingency Theory, explores how analyzer strategic orientation, learning capability, technical innovation, administrative innovation, and SME growth and learning effectiveness are interrelated. Analyzing cross-sectional data from 407 founders, cofounders, and managers of trade and service SMEs in Vietnam’s Southeast Key Economic Region through PLS-SEM, the research demonstrates that analyzer orientation positively impacts both technical and administrative innovation, thereby bolstering SME growth and learning effectiveness. However, learning capability does not significantly impact technical innovation or growth and learning effectiveness. Instead, learning capability negatively affects administrative innovation. Notably, technical and administrative innovations act as mediators between analyzer orientation and SME growth and learning effectiveness. The study provides practical insights tailored for SMEs navigating dynamic market environments like Vietnam, enriching theoretical understanding of SME strategic management within the trade and service sector.

Exploring Machine Learning Algorithms for Cyber Attacks’ Classification

Cyber security is like a race between defensive and offensive capabilities. Day by day the attacks are increasing consequently the preventive mechanisms are also raising. The technological evolution must address the cyber security problem effectively. Cyber security is always the cutting-edge technology to which Machine learning added potentiality. Machine learning plays a crucial role cyber-attacks in various dimensions. The recent advancements in usage of Machine learning towards cyber security preventive and detective measures clearly indicates that the Cyber security certainly accelerates. But at the same time the threat framework also takes the advent of innovative machine learning models. In this paper we are intended to explore various machine learning algorithms to classify cyber-attacks, which are very useful in designing efficient threat defensive models

PERANCANGAN MEDIA PEMBELAJARAN PENGENALAN BENDERA PADA ANAK KELAS 1 SDIT EL FATAH BERBASIS CONSTRUCT 2

This study aims to design and develop a learning application focused on introducing flags to first-grade students at SDIT EL Fatah. The application is designed using the Construct 2 platform, a tool that allows the development of interactive applications without requiring deep programming skills. This application integrates various interactive features that include learning materials, quizzes, user profiles, and usage instructions. The learning materials are presented in engaging and easy-to-understand slides, while the quizzes are designed to test and reinforce students' understanding of the material they have learned. The user profile feature allows students to track their learning progress, and the usage instructions provide clear guidance for navigating the application.The research method used is Research and Development (R&D), which includes steps such as identifying potential and problems, data collection, product design, design validation, design revision, product testing, product revision, and mass production. The results of this study indicate that this flag introduction learning application is effective in increasing students' interest and understanding of historical material. The application also received positive responses from teachers and students, indicating that the use of technology in learning can enhance student interaction and engagement.Therefore, this application is expected to become an innovative and effective learning solution, particularly in the context of primary education in Indonesia. This study also contributes to the development of technology-based learning methods that can be applied to various other subjects in primary schools

Using a flipped teaching strategy in undergraduate nursing education: students’ perceptions and performance

BackgroundFlipped teaching is an interactive learning strategy that actively engages students in the learning process. Students have an active role in flipped teaching as they independently prepare for the class. Class time is dedicated to discussion and learning activities. Thus, it is believed that flipped teaching promotes students’ critical thinking, communication, application of knowledge in real-life situations, and becoming lifelong learners. The aim of this study was to describe the students’ perception of flipped teaching as an innovative learning strategy. And to assess if there was a difference in students’ academic performance between those who participated in a traditional teaching strategy compared to those who participated in flipped teaching intervention.MethodA quasi-experimental design with intervention and control groups. A purposive sampling technique of undergraduate nursing students was used.ResultsA total of 355 students participated in both groups, and 70 out of 182 students in the intervention group completed the survey. The students perceived a moderate level of effectiveness of the flipped teaching classroom as a teaching strategy. The result revealed that there is a statistically significant difference in the mean students’ scores for the intervention group (M = 83.34, SD = 9.81) and control group (M = 75.57, SD = 9.82).ConclusionFlipped teaching proves its effectiveness in improving students’ learning experience and academic performance. Also, students had a positive perception about flipped teaching as it allowed them to develop essential nursing competencies. Future studies must consider measuring the influence of flipped teaching on students’ ability to acquire nursing competencies, such as critical thinking and clinical reasoning.

Augmented Reality for Interactive, Innovative and Fun Science Learning: Systematic Literature Review

The development of the learning process by utilizing current technological developments needs to adapt to the character of 21st-century learning. The fact that 21st-century learning is still not implemented optimally and well enough in schools has encouraged several studies that integrate Augmented Reality technology into science learning. AR Learning Media can visualize science learning concepts for understanding and structure of an object model, making AR a more effective, innovative, and fun media. Where the research objective is to examine Augmented Reality for Interactive, Innovative, and Fun Science Learning: Systematic Literature Review. The review was conducted based on state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. The results of this research explain that there are 3 types of Augmented Reality Methods, namely image recognition, Markerless Augmented Reality, Projection Augmented Reality, and Superimposition Augmented Reality; There are 4 things to use Augmented Reality, namely the use of augmented reality (AR) as a learning medium, the use of augmented reality (AR) to train skills, Abstract Thinking Skills, Creative Thinking Skills, Interactive, Innovative and fun. Some fields use AR, namely: entertainment, military training, robotics and telerobotics, consumer design, and medicine.

Systematic Review of Web-Based Learning in Enhancing Visualization Skill

In the digital era, visualization skills are critical for academic and professional success. This systematic review examines how web-based learning enhances these skills across various disciplines. This study focuses on addressing the challenges of developing effective visualization capabilities and the role of web-based learning in providing innovative solutions. This research utilized the PRISMA methodology to identify primary data utilizing specific keywords. Through extensive searches on Scopus, Web of Science, and ProQuest, 40 relevant studies were identified. The findings are organized into three themes: (1) Learning Innovations, (2) Digital Visual Education, and (3) Creative Visual Pedagogy. Results highlight web-based learning as a pivotal strategy in applied science and technology education, emphasizing collaborative and interactive technologies in enhancing spatial visualization and contributing to advanced educational practices.

Development of Flipbook Learning Media to Improve Learning Outcomes IPAS

Utilizing digital learning media is something that teachers need to do. This is because learning media is an important learning role. The lack of use of innovative and creative learning media can result in student learning outcomes not being achieved optimally, especially in class IV science subjects on plant body parts and their functions. This research was conducted with the aim of creating and developing Flipbook learning media which can be used as a means of delivering material to students. This research uses Research and Development research with the ADDIE research model. Furthermore, the researcher's data analysis technique used the normality test, n-gain test and t-test which were processed with the SPSS 23 application. The expert validator lecturer's assessment obtained a percentage result of 93.75% in the very feasible category. The results of the normality test in this study obtained a pretest result of 0.52 and a posttest value of sig. = 0.36 which indicates that the data is normally distributed. The next analysis is the n-gain test which produces the result that the n-gain score is 0.46 which shows an increase in the value in the medium category and the last one is the t-test which produces t-test calculations for pretest and posttest questions showing results that are sig. (2-tailed), namely 0.000, indicates a significant difference between the pretest and posttest. Through research and assessment of the test results, there is an increase in student scores as seen from the pretest and posttest learning results. Thus, it can be concluded that the Flipbook learning media is very suitable and effective for use in teaching and learning activities, especially in class IV science subjects regarding plant body parts and their functions.

Program Management for Strengthening Science and Character Education Learning Outcomes in Vocational Schools throughout Sebatik Nunukan Island - North Kalimantan

Research This research examines the management of knowledge strengthening and character education programs in vocational schools throughout Sebatik Nunukan, North Kalimantan. Using a qualitative approach, data was collected through observation, in-depth interviews, and documentation studies with research subjects including teachers, school principals, and students. Data analysis was carried out using thematic methods and the Miles, Huberman, and Saldana model. The research results show that limited educational facilities such as laboratories and libraries hinder the science teaching process. Character education is often inconsistent due to a lack of training and support for teachers, requiring ongoing training and professional support. Local community participation in character education is still limited, even though it is very important to create an environment that supports character values. This research emphasizes the importance of improving educational facilities, continuous training for teachers, community involvement, implementing innovative learning methods, and utilizing technology in programs to strengthen knowledge and character education in vocational schools throughout Sebatik Nunukan. It is hoped that these efforts can improve the quality of education and produce a generation that is competent and has good character.

The Effect of Literacy Tree Media on Student Reading Interest in Indonesian Language Subjects Grade 4 SDN 1 Tigajuru Mayong

This study aims to examine the effect of using Literacy Tree media on students' reading interest in Indonesian language subjects in grade 4 of SDN 1 Tigajuru Mayong. The method used in this study was a pseudo-experiment with a pretest-posttest design. The research sample consisted of 30 randomly selected 4th grade students. Data were collected through reading interest questionnaire and analyzed using t test to determine the difference in reading interest before and after using Literacy Tree media. The results showed that there was a significant increase in students' reading interest after using the Literacy Tree media. This finding indicates that the Literacy Tree media is effective in increasing students' reading interest in Indonesian language subjects. The implication of this study is the importance of using innovative and interesting learning media to increase students' interest in reading

Feasibility Of Electronic Comics For The Introduction Of Clean And Healthy Living Behaviors At Mulya Fajar Kindergarten, Indragiri Hulu Regency

This research aims to develop an electronic comic (e-comic) as an innovative learning medium for introducing clean and healthy living behaviors at Mulya Fajar Kindergarten in Indragiri Hulu Regency. The e-comic is designed to enhance the interest and understanding of 4-5-year-old children in the importance of maintaining a clean and healthy lifestyle, which is a crucial aspect of early childhood education. The research began with an initial study to gather information and understand the current situation of teaching and learning activities at Mulya Fajar Kindergarten, particularly in the context of teaching about clean and healthy living. The researcher conducted observations and interviews with the school supervisor and teachers to identify any issues in the learning process, especially related to the introduction of clean and healthy living behaviors. The design of the e-comic was planned in stages, considering the appropriate materials for children to learn about clean and healthy living, the amount of information to be introduced, and any obstacles faced by teachers or students in teaching these concepts. The e-comic was created using the Canva platform, which offers a variety of tools for drawing illustrations, applying color palettes, adding text and dialog balloons, and incorporating graphic elements relevant to the theme of cleanliness and health. The final product of this research is an e-comic that has been tested and revised to ensure its quality and effectiveness. The e-comic is intended for use as an electronic learning medium for children aged 4-5 at Mulya Fajar Kindergarten in Indragiri Hulu Regency. The research also includes a statement of originality, confirming that the work is the researcher's own and free from plagiarism, and a validation sheet for the progress of the research project. The e-comic is expected to be a specific product that can be used to introduce clean and healthy living behaviors to young children, promoting interactive visual narratives that can develop children's language skills and creativity, as well as providing teachers with creative and innovative experiences to teach these concepts.

Machine learning method predicting thermal performance of conformal cooling systems

The incorporation of conformal cooling systems has significantly enhanced the efficiency and quality of injection molding process. While several automated methods have been developed for creating conformal cooling channels in injection molds, the current optimization process for conformal cooling design parameters is hindered by labor-intensive iterative thermal simulation processes and the substantial reliance on empirical human knowledge. This paper presents an innovative machine learning method to assess the thermal performance of conformal cooling systems by employing a combination of a non-linear regression model and a neural network. By employing a logarithmic regression model describing the temperature graph and a neural network predicting the coefficients of the logarithmic regression model, the thermal performance of specified conformal cooling systems can be assessed and predicted precisely. This methodology empowers designers to evaluate the thermal efficiency of conformal cooling systems efficiently and effectively to further optimize the conformal cooling design parameters without relying on tedious manual thermal and fluid simulation processes.

DEVELOPING VIRTUAL LEARNING MODELS TO ENHANCE CRITICAL THINKING AND MATERNAL NURSING PRACTICE COMPETENCY

The COVID-19 pandemic has significantly impacted nursing education, necessitating the development of virtual learning models and media to improve critical thinking and maternal nursing competencies. This study aimed to develop an interactive virtual learning model based on problem-based learning and to assess its effectiveness in enhancing nursing students' critical thinking skills in maternal nursing practice. The development model (Define, Design, Develop, and Disseminate) was applied to create a virtual learning model. Data was collected using questionnaires to assess the validity and practicality of the developed model. The results demonstrated that the virtual learning model developed using the problem-based learning approach was valid for application in the learning process. After testing, the virtual learning model was found to be practical and effective in optimizing the implementation of learning and in improving student learning outcomes. The study concluded that the developed virtual learning model is a valid and practical tool for enhancing critical thinking skills and maternal nursing practice competencies. These findings contribute to addressing the knowledge gap in the literature regarding the effectiveness of virtual learning models in improving maternal nursing practice competencies, particularly in the context of critical thinking. This study highlights the importance of integrating technology and innovative learning approaches to adapt to the challenges posed by the COVID-19 pandemic and prepare nursing students for the demands of the 21st century.

Editorial: Innovative teaching and learning: learner centered emerging technologies

Editorial: Innovative teaching and learning: learner centered emerging technologies

IDENTIFICATION OF DISCOVERY LEARNING METHODS TO INCREASE STUDENT LEARNING MOTIVATION

The Discovery Learning method is designed to enhance students' learning experiences by encouraging them to actively explore, investigate, and discover knowledge on their own, leading to better retention and understanding. Edutainment, on the other hand, is an approach that integrates educational content with entertainment, making the learning process enjoyable and engaging. This study employs a literature review methodology to examine the potential of combining these two approaches to boost student motivation, specifically by utilizing the Zenius website. Zenius is recognized for its user-friendly interface and engaging content, making it an ideal platform for implementing Discovery Learning and Edutainment. By leveraging Zenius, the study aims to explore how these methods can create a more motivating learning environment for students, particularly in challenging subjects like Business and Energy. The findings are expected to provide insights into effective strategies for integrating technology and innovative learning methods in education.

Development of a Case Based Learning (CBL) Model Based on a Knowledge Management System to Improve Students' Critical Thinking Skills

The current era changes the educational situation. There is an urgent need to integrate advanced information technology with innovative teaching models to improve students' analytical thinking skills.It was employed to Vocational High School teachers and students as a learning innovation in the current era.The selection of Vocational High School teachers and students for research is because the researcher focuses on research in the field of vocational education and it is relevant with the researcher's field of knowledge. This study aims to develop and validate a Case Based Learning model integrated with a Knowledge Management System, designed to enhance critical thinking skills among vocational high school students. The paper applies Research and Development with theADDIE scheme. The latest concept of the model, namely the Case Based Learning Model, can be collaborated with the Knowledge Management System to improveCritical Thinking Skills student as a competency needed in the current era. It is expected to have a positive impact and change practices and learning outcomes in the context of the industrial revolution currently taking place.

A bibliometric perspective: three stages of green knowledge management thematic evolution in business literature

Purpose Green knowledge management (GKM) has become a more prominent research topic because of its ability to balance business sustainability, performance and society's well-being. The purpose of this paper is to study how GKM literature evolved before and after two major events: the introduction of sustainable development goals (SDGs) and the first conceptualization of GKM. In this paper, GKM is holistically examined following the stages of the knowledge management cycle, a framework for organizational knowledge-processing phases. Design/methodology/approach This study performed a bibliometric analysis of 1,274 papers related to GKM from 1995 until January 2024. Findings Over the three decades, this research outlined the intertwined relationships between core themes in the domain such as knowledge management in the context of corporate social responsibilities, sustainable development (SD), competitive advantage and so on, and popular theories. GKM evolved from an “industrial and technical view” of knowledge management to a more emerging perspective of a “social process.” Emerging themes were identified such as green innovation, information security or organizational learning sub-themes with key technologies like block-chain, big data analytics and artificial intelligence. Future research can explore themes such as green knowledge integration, green entrepreneurship, green supply chain and green knowledge integration capabilities. Practical implications This review offers practitioners a holistic picture of GKM to tackle emerging environmental concerns and increase businesses' competitive advantages. This study provides insights into the future practices of GKM, incorporating emerging technological advancement, to gain green intellectual capital and build dynamic capabilities for sustainability. Originality/value To the best of authors’ knowledge, this study is the first to provide a comprehensive picture of the GKM literature, from its earliest forms of corporate social responsibility and SD until the introduction of SDGs, and in combination with the evolution of knowledge management cycle stages.

Development of Innovative Learning Model in Madrasah Ibtidaiyah Teacher Education Study Program

Development of Innovative Learning Model in Madrasah Ibtidaiyah Teacher Education Study Program

A Comprehensive Survey of IoT and Machine Learning Innovations in Agriculture

A Comprehensive Survey of IoT and Machine Learning Innovations in Agriculture

Enhancing University Students' Interest in Learning and Creativity Through A Project-Based Learning Model with Instagram Reels Media

Generation Z students urgently need innovative learning because they have a low interest in learning and creativity. This study aims to increase students' interest in learning and creativity through a project-based learning model. This mixed research consists of qualitative and quantitative data from a population of 48 students. The results showed an increase in student interest in learning and creativity after the Instagram reels project-based learning model was implemented, with the percentage of interest in learning reaching 85% and the average value of creativity reaching a score of 92, where both were in the outstanding category. These results are supported by observations and interviews that show students' enthusiasm in working on the Instagram reels video project to the maximum. Based on the results of the study, it is recommended that in the future, there is a need for analysis of innovative learning models that provide space for students on campus to be able to selfactualize through the development of their generation.

Unveiling the core functional networks of cognition: An ontology-guided machine learning approach

Deciphering the functional architecture that underpins diverse cognitive functions is fundamental quest in neuroscience. In this study, we employed an innovative machine learning framework that integrated cognitive ontology with functional connectivity analysis to identify brain networks essential for cognition. We identified a core assembly of functional connectomes, primarily located within the association cortex, which showed superior predictive performance compared to two conventional methods widely employed in previous research across various cognitive domains. Our approach achieved a mean prediction accuracy of 0.13 across 16 cognitive tasks, including working memory, reading comprehension, and sustained attention, outperforming the traditional methods' accuracy of 0.08. In contrast, our method showed limited predictive power for sensory, motor, and emotional functions, with a mean prediction accuracy of 0.03 across 9 relevant tasks, slightly lower than the traditional methods' accuracy of 0.04. These cognitive connectomes were further characterized by distinctive patterns of resting-state functional connectivity, structural connectivity via white matter tracts, and gene expression, highlighting their neurogenetic underpinnings. Our findings reveal a domain-general functional network fingerprint that pivotal to cognition, offering a novel computational approach to explore the neural foundations of cognitive abilities.