TikTok flipped classroom method in folk art courses: an investigation of teachers and learners’ perceptions

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: March 17, 2025

Introduction The flipped classroom method is considered to be one of the most effective strategies for implementing necessary improvements in field education modern day. This pedagogical approach that has gained prominence recent years, involves reversal standard education. study explores implementation a TikTok-based folk-art course, focusing on perceptions and challenges faced by both students teachers. Methods Using qualitative approach, semi-structured interviews were conducted with teachers gather in-depth insights. data analyzed through thematic analysis using NVivo 14 software, which allowed efficient coding identification emerging themes. Results findings revealed had overwhelmingly positive TikTok method, highlighting four key themes: learning methods, pre-class materials, content, interactivity. also examined factors influencing academic performance encountered this innovative teaching approach. Through these insights, research contributes better understanding how social media platforms like can enhance engagement outcomes creative courses.

Language: Английский

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Connectivity, sport events, and tourism development of Mandalika’s special economic zone: A perspective from big data cognitive analytics

Cogent Business & Management, Journal Year: 2023, Volume and Issue: 10(1)

Published: March 13, 2023

This study examines the interplay of air connectivity, sports events, infrastructures, and fiscal support during period 2017 2022 in a designated area called Special Economic Zone Mandalika, Lombok Island, West Nusa Tenggara to boost tourism development Indonesia by utilizing big data cognitive analytics. We examine impacted MotoGP event connectivity. Further, this paper discusses network connectivity flights at Zainuddin Abdul Madjid International Airport COVID-19 Pandemic new normal. found that combination an international airport, globally recognized government has directly positively improved industry's performance country especially within Island. suggest policy recommendations economic activities Mandalika's its hinterland maintain business sustainability utilize existing infrastructures optimum level. Lessons learned from Indonesian experience could help other developing countries are devising policies strategies develop industry employing proper instruments such as infrastructure, policies.

Language: Английский

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Investigating the Impact of COVID-19 on E-Learning: Country Development and COVID-19 Response

Mathematics, Journal Year: 2023, Volume and Issue: 11(6), P. 1520 - 1520

Published: March 21, 2023

Due to its severity, the outbreak of COVID-19 led unprecedented levels social isolation that affected educational institutions, among others. Digital technologies such as cloud computing and video broadcasting helped adoption e-learning during crisis. However, speed efficiency period varied across countries. This paper compares in European countries before pandemic relationship between pandemic, e-learning, economic development. First, is compared. Second, using fuzzy C-means clustering, homogeneous groups are formed based on indicators for periods pandemic. Third, GDP per capita used an indicator development severity indices response compare different clusters. The research results show economically digitally advanced both they also responded less strictly Less-advanced more likely due a lack healthcare resources, fell behind e-learning.

Language: Английский

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Measuring the physical infrastructure development as poverty reduction program in Kalimantan, Indonesia

Cities, Journal Year: 2023, Volume and Issue: 141, P. 104515 - 104515

Published: Aug. 15, 2023

Language: Английский

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Green Infrastructure Vulnerability and Regional Poverty Reduction: New Sustainable Development Recommendations Based on a Spatial Clustering Approach

Journal of Poverty, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: July 17, 2024

Language: Английский

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Clustering of Cities Based on Their Smart Performances: A Comparative Approach of Fuzzy C-Means, K-Means, and K-Medoids

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 134446 - 134459

Published: Jan. 1, 2023

Smart City is recognized as a potential approach to address serious urban issues such traffic, pollution, energy use, and waste management. Therefore, it vital evaluate how smart cities are in order put these methods into practice. To offer advice on matters, numerous reports created, one of which Index (SCI). The Institute for Management Development (IMD) the Singapore University Technology Design collaborate SCI every year (SUTD). report evaluates locals view buildings technological applications that available their towns. Although study offers thorough examination evaluation, city clusters should be more sensitive not created using strict clustering techniques. In this problem, algorithms namely K-Medoids, Fuzzy C-Means, K-Means, outperform hard approaches terms robustness vagueness knowledge retention, used. main goal categorize scientific manner (clustering algorithms) based data present chosen work dealing with associated problems. primary innovation use techniques where indexes results indicate grouping basis indicators would effective three suggested paper. These add analysis dynamic capacities highlight sustainability tactics.

Language: Английский

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Understanding Pediatric Health Trends in Papua: Insights From SUSENAS, RISKESDAS, Remote Sensing, and Its Relevance to Prabowo and Gibran’s Free Lunch and Milk Program

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 51536 - 51555

Published: Jan. 1, 2024

This research endeavors to conduct a thorough investigation into pediatric health in the Papua and West regions of Indonesia, employing multifaceted approach that integrates data from various sources including RISKESDAS, SUSENAS, remote sensing indicators such as NDVI (Normalized Difference Vegetation Index) PDSI (Palmer Drought Severity Index). By amalgamating socio-economic data, metrics, environmental variables, study seeks achieve comprehensive understanding factors influencing child health. Advanced analytical tools, notably Generalized Linear Latent Variable Model (GLLVM), are utilized dual-analysis intricate interplay between variables. The incorporation PDSI, derived introduces an ecological dimension investigation, facilitating nuanced exploration impact vegetation drought severity on outcomes. interdisciplinary unveil correlations, patterns, potential causal relationships prevalence issues among children, pneumonia, acute respiratory infections, diarrhea, underweight, stunting. anticipated results aim not only enrich our but also contribute broader discussions concerning complex connections health, conditions, integrating with datasets, this provides perspective, enabling more robust assessment determinants well-being. insights gleaned poised have significant implications for policymakers, scientists, public professionals, informing development strategies aimed at enhancing outcomes these regions. Furthermore, underscores importance initiatives like Free Lunch Milk Program proposed by Prabowo Gibran 2024 Indonesian Presidential Election, emphasizing critical role holistic approaches addressing challenges surrounding

Language: Английский

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ICT integration into English language teaching-learning: Insights from some private higher education institutions

Englisia Journal of language education and humanities, Journal Year: 2024, Volume and Issue: 11(2), P. 48 - 48

Published: April 30, 2024

The integration of technology within language classrooms is a pivotal facet modern education. Due to this, this study aims investigate the English lecturers’ views about use educational in and teachers’ implementation strategies ICT into ELE programs higher employs qualitative research approach facilitate an in-depth exploration elucidation its findings. participants under scrutiny consisted lecturers affiliated with education situated private universities located West Nusa Tenggara region. selection was facilitated through utilization convenient sampling method, which deemed appropriate for purposes data collection study. In total, encompassed involvement 25 participants, it noteworthy mention that composition participant pool exhibited certain demographic characteristics. This used semi-structured interview guidelines as instruments. analysis process several key stages, including condensation, display, drawing conclusions. findings highlight diverse landscape among Tenggara, Indonesia. While some educators demonstrate propensity innovative multifaceted integration, others exhibit more conventional hardware-focused approaches. It can be concluded have should optimized programs.

Language: Английский

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Optical Fiber Network Submarine Design in Timor Leste-based on the Palapa Ring Project

Published: Aug. 22, 2023

Recently, the development of telecommunications technology has increased data transmission speed with good results. Timor Leste is a country bandwidth and that still needs to be improved, considering internet's importance for country's progress. In our research, submarine network design can connect two governments Indonesia using East Palapa Ring Project. It creates bilateral relationship between sectors countries. This research proposes paths as consideration in cost efficiency parameters. The first proposal both ways are Kolana, Alor Island, Nusa Tenggara Indonesia, Dili, Leste, second Banda Sea Leste. parameters used Power link rise time budgets mathematical combined simulation proposed results produce total attenuation of17.60125 dB 18.58875 dB, complete dispersion 70.7535 ps 73.7644 ps. concluded very feasible implement.

Language: Английский

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Road Segmentation and Environment Labeling for Autonomous Vehicles

Applied Sciences, Journal Year: 2022, Volume and Issue: 12(14), P. 7191 - 7191

Published: July 17, 2022

In autonomous vehicles (AVs), LiDAR point cloud data are an important source to identify various obstacles present in the environment. The labeling techniques that currently available based on pixel-wise segmentation and bounding boxes detect each object road. However, Avs’ decision motion control trajectory path planning depends interaction among objects ability of Avs understand moving non-moving is key scene understanding. This paper presents a novel method combine objects. technique named relational labeling. Autoencoders used reduce dimensionality data. A K-means model provides pseudo labels by clustering latent space. Each label then converted into unary binary labels. These supervised learning methods for segmenting backpropagation network (BPN), along with traditional gradient descent-based methods, Our study evaluated accuracy two as well three layers BPN. two-layer BPN was found be better than three-layer model. According experiments, our showed competitive 75% compared weakly similar area study, i.e., S3DIS (Area 5) 48.0%.

Language: Английский

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