Implementation Of Learning Model Research Articles

Implementation of Multimedia Project-Based Learning Model and Language Attitude towards Writing Skills

The implementation of learning skills in writing review texts is still oriented toward completing the tasks given by the teacher. This results in students needing help developing review text writing skills. This research examines how implementing a multimedia-based Project-Based Learning learning model and language attitudes affects students' review text writing skills in class VII SMP. Classified as a type of quantitative research, this research applies an experimental method with a 2×2 factorial design. The sample was taken from the entire population, namely class VII.1 was chosen as the experimental class, and class VII.2 was chosen as the control class with 60 students. Based on the analysis and discussion results, the multimedia-based project-based learning model is proven to improve learning outcomes for students' review of text writing skills compared to conventional learning models. The multimedia-based project-based learning model provides a basis for reflecting on effective teaching methods. These results indicate that involving students in multimedia projects can stimulate creativity and strengthen their understanding of writing concepts. Apart from that, this study's results confirm no interaction between the multimedia-based Project-based Learning learning model and language attitudes.

ACCIDENT DETECTION USING TENSOR FLOW AND CNN

Accident detection is a critical aspect of road safety management, with timely identification and response being paramount to minimizing casualties and damage. In this project, a comprehensive approach to accident detection utilizing Deep learning techniques is proposed. The system aims to automatically detect accidents in real time using information obtained from diverse sources like video feeds, sensor inputs, and audio signals. The project involves the development and implementation of Deep learning models trained on labeled datasets containing examples of accident and non-accident scenarios. Supervised learning techniques like classification, regression and advanced neural network architecture like convolution, recurrent neural network are considered to effectively process and analyze the data. The deployed system continuously monitors the environment, processing incoming data streams to identify patterns indicative of accidents. Upon detection, the system triggers appropriate response mechanisms, such as alerting emergency services or nearby vehicles, facilitating swift intervention. The project aims to contribute to road safety initiatives by providing a scalable and efficient solution for accident detection. Additionally, the insights gained from the data collected by the system can inform policymakers and urban planners in implementing measures to prevent accidents and improve overall road safety. Through this project, the students gain valuable experience in applying Deep learning techniques to address real-world challenges and contribute to societal welfare.

Effectiveness of Cooperative Problem Solving on Energy Concept in Physics Learning for Improving Students' Creative Thinking Skills

This study aimed to determine the effectiveness of the cooperative problem solving learning model in improving students’ creative thinking skills on the concept of energy. The research method used is a quasi-experimental design with a pretest-posttest nonequivalent control group design. The research was conducted at Garut. The research population were students of class X MIA 1-10. The sampling technique used was cluster random sampling. A total of 60 students of class X MIA 1 and 9 were selected, (41 female and 19 male). Students’ creative thinking ability is obtained from pretest and posttest in the form of an essay test of 12 questions. The improvement of each student’s creative thinking skills (Torrance) indicators to the concept of energy was obtained from the calculation of N-Gain with the values of smoothness (0.85), flexibility (0.56), and elaboration (0.72). The effectiveness of the learning model was tested using t-test hypothesis with the assistance of the SPSS version 28 proving that there is an increase in creative thinking skills after the implementation of cooperative problem-solving learning model on energy concept. Thus, the cooperative problemsolving learning model is very effective to be used as a solution in improving students’ creative thinking skills. Keywords: cooperative problem solving, energy concept, creative thinking skills

Does Discovery Learning Enhance Secondary Students' Mathematical Critical Thinking Skills?

The implementation of the discovery learning (DL) model in Indonesia is believed to improve the mathematical critical thinking skills of the secondary students, so that it becomes the recommended learning model in the national curriculum. Several previous similar types of research have found that DL can enhance secondary students’ mathematical critical thinking skills. However, there were inconsistencies in the effect size of these primary studies. The meta-analysis was carried out to obtain a comprehensive analysis result and investigate the effect of study characteristics. Comprehensive meta-analysis (CMA) is a tool used to calculate hedge’s effect size (ES). An analysis of 25 relevant primary studies that met the inclusion criteria revealed that, based on the random-effects model, the implementation of the DL model had a high positive effect (ES = 0.981) on secondary students’ critical thinking skills compared to the conventional model. The duration of treatment and indexed publication are important factors that affect the effectiveness of implementing DL on students’ mathematical critical thinking skills. Based on the analysis, DL is recommended for use by secondary school teachers, taking into account the characteristics of the study. Keywords: iscovery learning, mathematical critical thinking skills, secondary students

Critical Thinking Skills Enhancement: Implementation of CLIS Learning Models on Work and Energy

This study aimed to improve critical thinking skills (CTs) using the children learning in science (CLIS) model of students about work and energy at Junior Secondary School. The form of research used a pre-experiment with a one-group pretest-posttest design. The research participants were 28 students (eight grades) selected by using the intact group technique, randomly. The research instrument consisted of 6 essay questions. The result showed CTs students on work and energy was 49% in the medium category before the CLIS Lesson, while in the posttest it was 63% with the high category. Statistic descriptive analysis shows t count > t table, which means that Ho is rejected. It reveals a significant increase in the CTs of students. The increase in CTs in the CLIS model uses a gain score of 0.3 in the moderate category. So, it can be concluded that applying the CLIS model can improve CTs in energy and work materials. The CLIS model can be used as an alternative in the learning process to improve student’s CTs in work and energy materials. Keywords: critical thinking skills, CLIS learning models, work and energy

ADVANCED LEARNING AS AN IMPLICIT MODEL OF CONTINUOUS EDUCATION

By modeling and analyzing the levels of knowledge of students in school disciplines, the great didactic significance of more general and universal ideas in the process of forming students’ thinking during learning has been revealed. Presenting particularly important aspects of the process of generalization of students' knowledge and existing interpretations of one model of advanced learning, ways to implement the ideas of continuous education within the framework of fundamentalization and strengthening of the methodological approach of the educational process are identified. The application of the presented model of advanced learning allows to generalize fundamental ideas, universal concepts and methods, which are the basis for the formation of thinking in the following discipline by using general logical methods of scientific knowledge (analysis, synthesis, induction, deduction, modeling, analogues, etc.). The subject of the study is to reveal the fundamental possibilities of advanced learning in the process of implicit transfer of students' knowledge. The purpose of the article is to substantiate the development and implementation of an advanced learning model aimed at improving the quality of learning in the context of continuous education, based on the implicit transfer of student knowledge. It is shown that in advanced learning, the objects of advance are such fundamental ideas, concepts, and methodological approaches which in their essence are core for the process of knowledge transfer. Consistent application of advanced learning is an effective tool for generalizing students' knowledge which contributes to the formation of students' thinking. As a result, the concept of “Advanced learning as an implicit model of continuous education” was has been put forward.

Predictive model for a product without history using LightGBM. Pricing model for a new product

The article focuses on developing a predictive product pricing model using LightGBM. Also, the goal was to adapt the LightGBM method for regression problems and, especially, in the problems of forecasting the price of a product without history, that is, with a cold start.The article contains the necessary concepts to understand the working principles of the light gradient boosting machine, such as decision trees, boosting, random forests, gradient descent, GBM (Gradient Boosting Machine), GBDT (Gradient Boosting Decision Trees). The article provides detailed insights into the algorithms used for identifying split points, with a focus on the histogram-based approach.LightGBM enhances the gradient boosting algorithm by introducing an automated feature selection mechanism and giving special attention to boosting instances characterized by more substantial gradients. This can lead to significantly faster training and improved prediction performance. The Gradient-based One-Side Sampling (GOSS) and Exclusive Feature Bundling (EFB) techniques used as enhancements to LightGBM are vividly described. The article presents the algorithms for both techniques and the complete LightGBM algorithm.This work contains an experimental result. To test the lightGBM, a real dataset of one Japanese C2C marketplace from the Kaggle site was taken. In the practical part, a performance comparison between LightGBM and XGBoost (Extreme Gradient Boosting Machine) was performed. As a result, only a slight increase in estimation performance (RMSE, MAE, R-squard) was found by applying LightGBM over XGBoost, however, there exists a notable contrast in the training procedure’s time efficiency. LightGBM exhibits an almost threefold increase in speed compared to XGBoost, making it a superior choice for handling extensive datasets.This article is dedicated to the development and implementation of machine learning models for product pricing using LightGBM. The incorporation of automatic feature selection, a focus on highgradient examples, and techniques like GOSS and EFB demonstrate the model’s versatility and efficiency. Such predictive models will help companies improve their pricing models for a new product. The speed of obtaining a forecast for each element of the database is extremely relevant at a time of rapid data accumulation.

A comprehensive review on zero-shot-learning techniques

Advancements in computational capabilities have enabled the implementation of advanced deep learning models across various domains of knowledge, yet the increasing complexity and scarcity of data in specialized areas pose significant challenges. Zero-shot learning (ZSL), a subset of transfer learning, has emerged as an innovative solution to these challenges, focusing on classifying unseen categories present in the test set but absent during training. Unlike traditional methods, ZSL utilizes semantic descriptions, like attribute lists or natural language phrases, to map intermediate features from the training data to unseen categories effectively, enhancing the model’s applicability across diverse and complex domains. This review provides a concise synthesis of the advancements, methodologies, and applications in the field of zero-shot learning, highlighting the milestones achieved and possible future directions. We aim to offer insights into the contemporary developments in ZSL, serving as a comprehensive reference for researchers exploring the potentials and challenges of implementing ZSL-based methodologies in real-world scenarios.

Implementation of Project-Based Learning Model to Improve Creative Thinking of Elementary School Teacher Education Students in Social Sciences Learning in Upper-Level Class Course

The Indonesian authority encourages that higher education institutions should carried out in a non-lecturing manner, in the form of a case method and team-based project. Therefore, the Universitas Pendidikan Indonesia requires all lecturers to create collaborative and participatory classes. The Social Sciences Learning in the Upper-Level Class Course used the project-based learning (PjBL) model in the form of visits to museums and making videos of the results of their visits, so it is important to investigate the implementation and results of the practice to enhance critical thinking. The subjects of this qualitative study were fourth-semester students at the UPI Serang Campus Elementary School Teacher Education Study Program. The method employed in this research was a descriptive qualitative using observation and questionnaire data collection. The data analysis used the Miles and Huberman framework, comprising data reduction, data display, verification, and conclusion. The results of the research demonstrated that the application of the PjBL model in the course by creating videos and YouTube platforms revealed that students' creativity increased because they were given the freedom to explore their creative thinking in carrying out the project. This is shown by the percentage of 27.21% was in very students completing assignments, with excellent criteria and the rest gained good criteria according to the rubric given. The implementation could be the best practice of PjBL in higher education to increase student creative thinking

PENERAPAN MODEL PEMBELAJARAN PROBLEM SOLVING BERBASIS SOAL HOTS PADA MATERI SPLTV DALAM MENINGKATKAN HASIL BELAJAR SISWA KELAS XF SMA NEGERI 2 ABIANSEMAL TAHUN PELAJARAN 2023/2024

Abstrak Problem solving is the process of identifying, analyzing, and resolving a problem through systematic and creative steps to achieve the desired goal or solution. High Order Thinking Skills (HOTS) questions are educational assessments that test higher-order thinking abilities. The purpose of this research is to determine the response and whether the implementation of the problem-solving learning model can enhance students' ability to answer HOTS questions on SPLTV material. The research subjects are students of class XF at SMA Negeri 2 Abiansemal for the academic year 2023/2024. The study focuses on understanding SPLTV material with an orientation towards HOTS questions and students' responses to the problem-solving learning model. This research employs a classroom action research design, consisting of two cycles with four stages of activity processes, including (1) planning, (2) action, (3) observation, and (4) evaluation and reflection. Data collection involves assessing student test results as quantitative data and using observation techniques for qualitative data. The research findings indicate that (1) the implementation of the problem-solving learning model can improve students' ability to answer HOTS questions on SPLTV material, and (2) there is a positive response from students towards the implementation of the problem-solving learning model to enhance their ability to answer HOTS questions on SPLTV material

IMPLEMENTATION OF MIND MAPPING-BASED DISCOVERY LEARNING MODEL IN ONLINE LEARNING ON COLLOID MATERIALS

Research has been conducted on the implementation of the discovery learning model based on mind mapping in online learning on colloid materials. This study aims to determine the difference in knowledge learning outcomes, attitudes, and student responses to the discovery learning model based on mind mapping in online learning on colloid materials. The method used is a quasi-experiment using a "non-equivalent control group design" design. The research sample was students of class XI MIA 1 as the experimental class and class XI MIA 2 as the control class at MAN 2 Tabalong. Data collection used test and non-test techniques. Data analysis techniques used descriptive analysis and inferential analysis. The results showed (1) there was a significant difference in knowledge learning outcomes between the experimental class and the control class where the t-value > t-table (α = 0.05) with an average value for the experimental class of 86.67 with an average N-gain value of 0.74, while for the control class it was 77.56 with an average N-gain value of 0.60, (2) the attitudes of students' learning outcomes had different average values where in the experimental class it was 78.59 higher than the control class which was 72.30, (3) student responses to the discovery learning model based on mind mapping in online learning on colloid materials were in the good category.

SDR implementation of a light deep learning model based CNN for joint spectrum sensing and AMC

Automatic modulation classification (AMC) aims to blindly recognize the modulation type of a received signal in wireless systems. It is also a critical component of non-cooperative communication systems after the detection of the presence of a signal. In this paper, we introduce a robust approach, termed DET-AMC (joint Detection and Automatic Modulation Classification), employing Convolutional Neural Networks (CNNs) trained via transfer learning methodology. The main advantage of our approach is its ability to handle a wide range of modulation types, including 10 different schemes generated in Gnuradio and their detection using the same model. Through extensive experimentation, we evaluate the performance of our light CNN-based DET-AMC method across varying signal-to-noise ratio (SNR) levels, as well as in the presence of phase noise and frequency offset. We find that the CNN’s learned features, obtained through transfer learning, exhibit robustness, particularly in low SNR and various challenging conditions, leading to accurate modulation classification. In general, our approach outperforms existing methods by using the effectiveness of deep learning in capturing relevant discriminative features. Additionally, our model offers a robust solution for join detection and AMC by achieving an accurate probability of detection and modulation classification without the need for manual feature engineering or the consideration of frequency offset, phase noise or noise estimation. Our model achieves 100% accuracy for synthetic and real data at an SNR equal to -10 dB for detection, and 100% and 98% for classification of synthetic and real signals at −4 dB, respectively.

Enhancing Problem-Solving Learning Models: A Review from the Lens of Independent Learning in the Post-Pandemic Era

This research aims to explore the optimization of the problem-solving learning model within the context of independent learning in the post-pandemic era. Utilizing a systematic literature review method and the PRISMA model, the study identifies 25 pertinent articles concerning the implementation of the problem-solving learning model in independent learning. The analysis indicates that applying this model positively impacts students' critical thinking abilities, enhances creativity, and reinforces communication and collaboration skills. From an independent learning standpoint, the problem-solving learning model grants students the autonomy to cultivate creative thinking patterns and fosters heightened engagement in the learning process. The study also highlights adapting the model to online learning, with teachers as facilitators. In conclusion, these findings underscore the effectiveness of the problem-solving learning model in independent learning, especially in the post-pandemic era. They also offer valuable insights for educators and policymakers to develop adaptive learning strategies suited to the current educational environment.

Survey on Deep Fake Detection using Deep Learning

The rise of deep fake technology poses significant challenges to the authenticity and integrity of visual content on digital platforms. This paper presents the development of a web application aimed at detecting deep fake images and videos through the implementation of advanced deep learning models. Leveraging research in the field of deep fake detection, this application integrates state-of-the-art algorithm like CNNs for accurate classification tasks. Key features of the application include a user-friendly interface allowing for the upload and analysis of images and videos, leveraging the trained models to detect potential deep fakes. Additionally, the web application incorporates a sophisticated detection methods to enhance accuracy and reliability. The deployment of the web application on popular platforms aims to provide users with a tool to verify the authenticity of visual content, thereby mitigating the potential negative consequences of deep fake manipulation. Continuous monitoring, updates, and adaptation to emerging deep fake techniques are prioritized to ensure the web applications effectiveness and relevance in an ever-evolving landscape of digital content manipulation

Designing Modeling-based Physics Online Learning Assisted with Home-lab-kit

Learning Physics online can lead to issues such as lack of student engagement and limited access to laboratory activities. This work aims to develop modeling-based physics online learning assisted with home-lab-kit to ease up on those problems. Home-lab-kit is an Arduino-based experimental kit delivered to students in advance before class. The learning model was designed by adapting the constructivism paradigm. We designed the learning activity and implemented it in a group of 10 college students majoring in physical education. Using a self-report checklist, we measure students’ engagement before and after the learning process. There is an improvement in students’ engagement with a normalized gain of 0.33, which can be classified as a medium improvement. It shows that the modeling-based physics online learning assisted with home-lab-kit is feasible in keeping the students engaded. In addition, students respond well to the learning model implementation and the supporting materials.
 Keywords: modeling-based physics, online learning assisted, home-lab-kit

Project Based Learning Model with the help of Digital Media Anecdote Text Class X Sma/Ma Students

This research aims to develop a project-based learning model assisted by digital media for learning anecdotal texts for class X SMA/MA students. The problems of this research: (1) How is the design of a project-based learning model assisted by digital media for learning anecdotal texts for class X SMA/MA students? (2) What are the results of the implementation of the project-based learning model assisted by digital media in the learning of anecdotal texts for X SMA/MA students? This research uses research and development methods with the ADDIE (Analysis Design Development Implementation Evaluate) model. The steps of this research consist of needs analysis, designing a project-based learning model assisted by digital media, developing a project-based learning model assisted by digital media, implementing a project-based learning model product assisted by digital media, and evaluating a project-based learning model product assisted by digital media. Data collection in this research was by collecting data from the results of validation questionnaires from learning model experts, media experts, practitioners, and implementation in learning. The data obtained was analyzed descriptively using a Likert scale and Paired Sample T-Test. The results of the validation test by learning model experts obtained a value of 3.66, validation tests by media experts obtained a value of 3.14, validation tests by Indonesian language teachers obtained a value of 3.92. The results of the implementation of the project-based learning model assisted by digital media in anecdotal text learning for class X SMA/MA students received a positive response from students with a score of 3.48. The conclusion of this research is that the project-based learning model assisted by digital media in teaching anecdotal texts for class.

Implementation and Evaluation of a Multi-faceted Inter-disciplinary Experiential Learning Model to Enhance Rehabilitation Activities and Outcomes

Implementation and Evaluation of a Multi-faceted Inter-disciplinary Experiential Learning Model to Enhance Rehabilitation Activities and Outcomes

IMPLEMENTASI MODEL PEMBELAJARAN PAI BERBASIS NILAI ISLAMI DALAM UPAYA MENINGKATKAN PEMAHAMAN KONSEPTUAL MAHASISWA DI UNIVERSITAS ISLAM MADURA

The implementation of the PAI learning model based on Islamic values to increase students conceptual understanding at UIM needs to be researched and explored scientifically, considering that PAI is the foundation of Islamic education to produce graduates who are by the Islamic management of the UIM Institution and have the ahlussunnah waljamaah bent. However, in reality, phenomena are presented that are often not by Islamic rules and teachings, this is the reason why this research is necessary to carry out this research. While the research approach used is qualitative phenomenological, the data sources in this research are UIM residents taken randomly by researchers such as students, lecturers, and employees. The validity of the data is to convince the researcher that the data obtained is valid, the researcher uses the concept of triangulation. The research results show that the Islamic Values-Based PAI Learning Model is carried out holistically in the learning process, which does not only focus on conceptual understanding and material but also on students themselves and the application of Islamic values in real life. Meanwhile, the impact of students' conceptual understanding has a positive impact on religious concepts and the ability to relate these concepts to the context of everyday life. Meanwhile, intensive interaction between lecturers and students as well as space for discussion and reflection in the learning process makes a significant contribution to the effectiveness of the Islamic Values-based PAI education and learning model. The implementation of the PAI learning model based on Islamic values can be used as a reference for lecturers and curriculum managers to improve the quality of Islamic religious education at the Islamic higher education level. Keywords: Learning Model; Islamic Values; Conceptual Understanding.

PARTISIPASI DAN HASIL BELAJAR KOGNITIF SISWA PADA PEMBELAJARAN BIOLOGI DENGAN PENDEKATAN FLIPPED CLASSROOM

This study aims to determine the implementation of the flipped classroom learning model on cognitive learning outcomes and student participation during the learning process of grade XI SMA Negeri 1 Bantaeng on human coordination system material. This type of research is Pre-Experimental Design with One-Shot Case Study research design. The data collection technique used is in the form of an essay test of 10 questions and observation sheets of student participation. The results of the statistical test showed the average post-test score in class XI Science 5 which was 86.13. The Minimum Completeness Criteria (KKM) obtained by students with a percentage of 96.7% are on the completion criteria, and 3.3% are on the incomplete criteria. The average student participation during the learning process in online classes (google classroom) is 83% with the very active category, and student participation during the learning process in class is 65% with the active category. The conclusion of this study is that the implementation of the flipped classroom learning model can improve cognitive learning outcomes and learning participation of grade XI students of SMA Negeri 1 Bantaeng on human coordination system material.

Cultivating Critical Thinking Skills in Early Childhood through Inquiry-Based Learning Models Grounded in Teachers' Experiences

This study aims to describe the implementation of inquiry-based learning models, grounded in teachers' teaching experiences, to enhance critical thinking skills in early childhood at RA Nurul Haq and TKIT Umar Bin Khatab Kudus. Using a qualitative descriptive approach with a case study model, the research investigates the processes and outcomes of inquiry-based learning. Data were collected through observations, interviews, and document reviews, focusing on children aged 4-6. Results indicate that the inquiry-based learning model significantly enhances children's critical thinking skills when applied by certified and experienced teachers. This model promotes balanced cognitive, affective, and psychomotor development through systematic exploration and problem-solving activities. However, challenges persist for non-certified teachers due to limited training. The study's implications are substantial for early childhood education, as implementing an inquiry-based learning model can improve critical thinking skills essential for children's academic and personal growth. It prepares them to face 21st-century challenges such as critical thinking, creativity, communication, and collaboration. Limitations include the study's focus on a specific demographic and the disparity in training and certification levels among teachers, highlighting the need for comprehensive professional development programs. Future research should expand the scope to include a broader range of educational settings, investigate the long-term effects of inquiry-based learning on critical thinking skills, and explore integrating inquiry-based models with other teaching strategies to maximize their effectiveness. In conclusion, this study underscores the positive impact of an inquiry-based learning model, grounded in teachers' teaching experiences, on enhancing critical thinking skills in early childhood education.