PEMANFAATAN MEDIA PEMBELAJARAN AUDIO VISUAL TERHADAP MINAT BELAJAR PESERTA DIDIK KELAS V DI SD IT IRSYADUL IBAD 2 PANDEGLANG

Based on the research, it was found that the lack of development of learning media resulted in boring learning and students who experienced a lack of interest in learning activities which resulted in a lack of material delivered and obtained by students. The objectives to be achieved through this research are to determine the use of audio-visual learning media on the learning interest of fifth grade students at Sdit Irsyadul Ibad 2 Pandeglang. The method taken by the researcher through descriptive qualitative research method which in this method to examine a phenomenon the data used through interviews, observations and questionnaires. The results of this study were students actively participated in learning activities through asking questions, the class became effective because students were very focused on audio-visual learning media and the material provided was well conveyed to students so as to create maximum learning outcomes.

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches

Deep learning has surged in popularity in recent years, notably in the domains of medical image processing, medical image analysis, and bioinformatics. In this study, we offer a completely autonomous brain tumour segmentation approach based on deep neural networks (DNNs). We describe a unique CNN architecture which varies from those usually used in computer vision. The classification of tumour cells is very difficult due to their heterogeneous nature. From a visual learning and brain tumour recognition point of view, a convolutional neural network (CNN) is the most extensively used machine learning algorithm. This paper presents a CNN model along with parametric optimization approaches for analysing brain tumour magnetic resonance images. The accuracy percentage in the simulation of the above-mentioned model is exactly 100% throughout the nine runs, i.e., Taguchi’s L9 design of experiment. This comparative analysis of all three algorithms will pique the interest of readers who are interested in applying these techniques to a variety of technical and medical challenges. In this work, the authors have tuned the parameters of the convolutional neural network approach, which is applied to the dataset of Brain MRIs to detect any portion of a tumour, through new advanced optimization techniques, i.e., SFOA, FBIA and MGA.

Efficient learning in children with rapid GABA boosting after training

It is unclear why and how children learn more efficiently than adults, although inhibitory systems, which play an important role in stabilizing learning, are immature in children. Here, we found that despite a lower baseline concentration of gamma-aminobutyric acid (GABA) in early visual cortical areas in children (8 to 11 years old) than adults (18 to 35 years old), children exhibited a rapid boost of GABA immediately after visual training, whereas the concentration of GABA in adults remained unchanged after training. Moreover, behavioral experiments showed that children stabilized visual learning much faster than adults, showing rapid development of resilience to retrograde interference. These results together suggest that inhibitory systems in children's brains are more dynamic and adapt more quickly to stabilize learning than in adults.

Effectiveness of the Multimedia Training Module on Farmer’s Knowledge in using Bio-control Agents : An Experimental Investigation

The present study aims to analyze the effectiveness of the multimedia training modules in terms of knowledge gain among bio-control user’s farmers. The study was purposively conducted in Chhattisgarh where, a total of 200 biocontrol user’s farmers were selected randomly and divide into eight groups equally. Bio-control agents was selected as farm technology based on new and need based one. The Barsch learning style inventory was used to access the learning style of farmers and results showed that majority (67.67%) of them were preferred visual learning style. The knowledge was assessed through in-build knowledge test on the specific aspects. From the result, at Dhamtari district, the Group-I (Katalboard) has highest (144.37%) knowledge gain and in Raipur district Group-V (Baronda) has lowest (37.60%) knowledge gain. The overall knowledge gain ranges from 37.60 per cent to 144.37 per cent in the study area; this variation indicated that the farmers having different level of knowledge aspects in the biocontrol agents. There was also statistically significant gain in knowledge (t-test 23.91) from pre to post exposure mean scores which can be interpreted that the multimedia training module had significant effect on the knowledge gain on bio-control agents farming practices. The results of the study clearly indicate the importance of multimedia training modules in transfer of knowledge and skill on scientific farming practices.

Using social network analysis to understand multisectoral governance in district-level tobacco control programme implementation in India

IntroductionInterest in multisectoral policies has increased, particularly in the context of low-income and middle-income countries and efforts towards Sustainable Development Goals, with greater attention to understand effective strategies for implementation and governance. The study aimed to explore and map the composition and structure of a multisectoral initiative in tobacco control, identifying key factors engaged in policy implementation and their patterns of relationships in local-level networks in two districts in the state of Karnataka, India.MethodsSocial network analysis (SNA) was used to examine the structure of two district tobacco control networks with differences in compliance with the India’s national tobacco control law. The survey was administered to 108 respondents (n=51 and 57) in two districts, producing three distinct network maps about interaction, information-seeking and decision-making patterns within each district. The network measures of centrality, density, reciprocity, centralisation and E-I index were used to understand and compare across the two districts.ResultsMembers from the department of health, especially those in the District Tobacco Control Cell, were the most frequently consulted actors for information as they led district-level networks. The most common departments engaged beyond health were education, police and municipal. District 1’s network displayed high centralisation, with a district nodal officer who exercised a central role with the highest in-degree centrality. The district also exhibited greater density and reciprocity. District 2 showed a more dispersed pattern, where subdistrict health managers had higher betweenness centrality and acted as brokers in the network.ConclusionCollaboration and cooperation among sectors and departments are essential components of multisectoral policy. SNA provides a mechanism to uncover the nature of relationships and key actors in collaborative dynamics. It can be used as a visual learning tool for policy planners and implementers to understand the structure of actual implementation and concentrate their efforts to improve and enhance collaboration.

Modul Elektronik Berbasis Pendekatan Saintifik pada Materi Ikatan Kimia

The role of technology in education is at the forefront of developing innovative teaching materials that may facilitate students' learning needs. The purpose of this research was to determine the procedure for developing an electronic module based on a scientific approach for the chemical bonding topic, as well as to determine whether the developed media is theoretically and practically feasible. This electronic module was designed with students with visual learning styles in mind, and the topics are presented in a scientific manner. The methods were implemented using the Lee and Owens model, which required several steps such as analysis, design, development, implementation, and evaluation. The results showed that the electronic module was deemed feasible as a digital teaching material by expert judges. Based on practitioner testing during the learning process, this module was effective as a teaching material, as evidenced by 89.28 percent ("Excellent" category) students believing it was simple to understand the topic of chemical bonding.

Augmented Reality dalam Media Pembelajaran Tata Cara Berwudhu dan Tayamum

In Islamic religious education, especially in the procedures for purification where ablution and tayammum are very important because these are mandatory requirements in carrying out prayers. Often the procedures for ablution and tayammum are not understood properly and correctly because the process of delivering the material is still using conventional methods with media in the form of books that are less interesting and interactive. The purpose of making an application for purification procedures using Augmented Reality as a visual learning medium that can be understood by users, namely early childhood and emphasizes the importance of ablution and tayammum in Islam. The Multimedia Development Life Cycle method is used in making this application with six stages carried out starting from concept generation, design, material collection, manufacture, alpha and beta testing and the last stage in the form of distribution of applications that have been built. The results of this study can be used as an alternative learning media with interactive features using augmented reality which discusses how to perform ablution and tayammum properly and correctly in worship according to Islamic law.

DESCRIPTION OF MATHEMATICS PROBLEM SOLVING ABILITY IN TERMS OF LEARNING STYLE

This study aims to describe and determine students' abilities to solve mathematical problems that focus on visual and auditory learning styles. Subjects are eighth-grade students from junior high school in Bulukumba district. This research is descriptive qualitative, which seeks to determine and describe the mathematical problem solving ability in terms of student learning styles. Data is collected using questionnaires, tests, and interviews. The use of questionnaires describes visual learning styles and auditory learning styles. Two numbers of the test determine mathematics problem solving ability in Polya's step, and interviews confirm mathematics problem solving ability. The data analysis techniques are reduction, presentation, and verification. Based on the results, the first subject with a visual learning style can fulfill all the indicators of Polya's steps, but another one is just three indicators. The first subject with an auditory learning style can meet all Polya's steps, but the other can fulfill three indicators.