Creative Arts Students' Use of Social Media: Perspectives of Educators

The emergence of social media has made a tremendous change on lifestyle and communication practices in our society. Majority of the internet users today are hooked with social network sites in staying connected with people around the globe. New digital technologies and the social media also constantly change, changing communication and interaction between educators and learners. Social media enables the students and educators to be connected as it permits them to communicate on social media apart from the classroom setting. This paper explores the connections of educators and their students through social media as well as the perspectives o

Use Of Social Media By Creative Arts Students For Learning And Creative Artwork Development

Social media is nowadays broadly used by young people. Majority of the young people are with social media sites as it enable them to stay connected with people around the globe anywhere and anytime. The features of social media sites where it allows different forms of content to be shared attract young people's attention and transform ways of communication and interaction between their users. Consequently, majority of higher learning institution are starting to use social media for teaching and learning. This paper explores how the creative arts students are engage in the social media for learning and creative artwork development. Using a mixed methodology, this study used a sample of 300 students from public and private universities and colleges through a questionnaire focusing on the use of social media for learning and creative artwork development specifically in communication and collaboration, information management, learning and problem solving as well as meaningful participation. Discussion sessions are also conducted with 10 students to get better insights. The findings of the study reveal that social media plays a role in getting local and international inputs and feedback for developing creative artwork

Permainan Elektronik: Satu Kajian Awal Amalan Penyertaan Genre Dan Amalan Motivasi Dalam Permainan Media

Matlamat kajian adalah untuk menggapai diskripsi penggunaan media baru yang diamalkan oleh remaja berhubung amalan permainan media dan genre peryertaan. Perbuatan melepak (hanging out), sikap meneroka (messing out) dan pakar (geeking out) adalah tiga bentuk penyertaan genre yang menggambarkan bentuk komitmen yang berbeza terhadap penglibatan media dan ianya memberikan kesan berbeza dari segi sosial, amalan dan juga pembelajaran dinamik. Kajian ini adalah penting dan signifikan untuk melihat corak budaya sosial pemain bermain di media baru. Kajian ini juga boleh mengkategorikan para pemain berasaskan genre penyertaan iaitu mengikut cara mereka berhubung dan bermain permainan. Berasaskancorak pendekatan bermain yang berbeza mengikut genre penyertaan, pemain juga dapat dianalisakan menerusi amalan motivasi permainan . Ianya boleh dilihat secara terperinci penganalisaan terhadap tahap amalan motivasi dalam permainan

Prestasi Graduan Institusi Pengajian Tinggi Dalam Bidang Reka Bentuk 3D Animasi Di Malaysia

Multimedia merupakan satu bidang yang mempunyai potensi besar untuk berkembang sejajar dengan perkembangan media elektronik dan teknologi digital pada hari ini. Animasi 3D merupakan salah satu bidang dalam multimedia yang mendapat perhatian di dalam pembangunan industri kreatif yang disarankan oleh kerajaan dalam rancangan Malaysia ke 10 hingga kini. Penghasilan 3D multimedia animasi di Malaysia jauh ketinggalan berbanding dengan negara luar. Para graduan dalam bidang ini tidak dapat memenuhi kehendak dan permintaan pasaran. Kajian ini dilakukan bagi mengenalpasti masalah yang berlaku serta mengkaji peranan kerjasama di antara institusi pengajian dan pihak industri dalam membantu mempertingkatkan kualiti pengajaran dan latihan kemahiran. Pendekatan temubual diantara persepsi graduan, tenaga akademik dan pihak industi dilakukan bagi mengenal pasti prestasi graduan dalam bidang rekabentuk 3D Animasi di institusi pengajian tinggi di Malaysia. Hasil kajian ini dapat memberikan kesan kepada peningkatan kualiti pengajaran kurikulum di institusi pengajian dalam meningkatkan kualiti graduan yang berkebolehan serta kerjasama yang selari antara institusi dengan pihak industri dalam meningkatkan prestasi graduan dan industri animasi negara mengikut keperluan dan kehendak persekitaran semas

Utilizing Visual Images Of Autism Behavioral Symptoms In Facebook Application For Raising An Awareness Among Secondary School Teachers In Pulau Pinang

This paper highlights the outcomes of utilizing visual images of Autism behavioural symptoms using Facebook application to increase awareness among secondary school teachers in Pulau Pinang. The issues of identifying autism symptoms have always been questions to many of us. Autism always misinterpreted and associated with a group of complex disorders of brain development, these disorders are characterized in varying degrees, by difficulties in social interaction, verbal and nonverbal communication and repetitive behaviours. The conventional method in identifying autism symptoms was limited and too clinical to be understood by the societies. Furthermore, children diagnosed with autism tend to have different behaviour which difficult to recognised. By utilizing social media apps such as Facebook, it helped the teachers to increase their awareness towards basic symptoms of these children’s. Selected images of autism behavioural symptoms were hand drawn and posted to the Facebook application for the identification purposes from the respondents. This research investigated the effects of visual images on Facebook based on how many ‘Like’ or ‘Dislike’ features given by respondents. Based from the outcomes, it’s revealed that the use of visual images in Facebook application managed to increase the awareness towards identifying autism behavioural symptom

UTILIZING VISUAL IMAGES OF AUTISM BEHAVIORAL SYMPTOMS IN FACEBOOK APPLICATION FOR RAISING AN AWARENESS AMONG SECONDARY SCHOOL TEACHERS IN PULAU PINANG

This paper highlights the outcomes of utilizing visual images of Autism behavioural symptoms using Facebook application to increase awareness among secondary school teachers in Pulau Pinang. The issues of identifying autism symptoms have always been questions to many of us. Autism always misinterpreted and associated with a group of complex disorders of brain development, these disorders are characterized in varying degrees, by difficulties in social interaction, verbal and nonverbal communication and repetitive behaviours. The conventional method in identifying autism symptoms was limited and too clinical to be understood by the societies. Furthermore, children diagnosed with autism tend to have different behaviour which difficult to recognised. By utilizing social media apps such as Facebook, it helped the teachers to increase their awareness towards basic symptoms of these children’s. Selected images of autism behavioural symptoms were hand drawn and posted to the Facebook application for the identification purposes from the respondents. This research investigated the effects of visual images on Facebook based on how many ‘Like’ or ‘Dislike’ features given by respondents. Based from the outcomes, it’s revealed that the use of visual images in Facebook application managed to increase the awareness towards identifying autism behavioural symptoms

Long-Short Term Memory for an Effective Short-Term Weather Forecasting Model Using Surface Weather Data

Part 7: Deep Learning - Convolutional ANNInternational audienceNumerical Weather Prediction (NWP) requires considerable computer power to solve complex mathematical equations to obtain a forecast based on current weather conditions. In this article, we propose a lightweight data-driven weather forecasting model by exploring state-of-the-art deep learning techniques based on Artificial Neural Network (ANN). Weather information is captured by time-series data and thus, we explore the latest Long Short-Term Memory (LSTM) layered model, which is a specialised form of Recurrent Neural Network (RNN) for weather prediction. The aim of this research is to develop and evaluate a short-term weather forecasting model using the LSTM and evaluate the accuracy compared to the well-established Weather Research and Forecasting (WRF) NWP model. The proposed deep model consists of stacked LSTM layers that uses surface weather parameters over a given period of time for weather forecasting. The model is experimented with different number of LSTM layers, optimisers, and learning rates and optimised for effective short-term weather predictions. Our experiment shows that the proposed lightweight model produces better results compared to the well-known and complex WRF model, demonstrating its potential for efficient and accurate short-term weather forecasting

The Operational and Structural System of Regional Rural Banks in Financing Agriculture in Bareilly

A majority (i.e., 30%) of respondent’s annual income has been fall in range of below 1,00,000. Collected data shows that 92.45 per cent of incomes come from interest earned and of the Bank in the ending year 2020 as against last year’s position of 94.15 per cent while in ending year 2021, 90.49 per cent income comes from interest earned. Other income contributed 9.51 per cent of the total income during the ending year 2021 as against the last two years 2020 and 2019, figure of 7.55 per cent and 5.85 per cent. Rs. 1126.78 crores (51.56 per cent) of the amount were disbursed by the bank in ending 2021 on interest on deposits and the Reserve Bank of India compared to the disbursements of the last two years (2020 and 2019) on those paid interest of Rs. 1054.21 (51.38 per cent) crores and Rs.964.58 crores (50.03 per cent). The second major expense of the bank is operating expenses recorded as Rs. 546.27 crores (25.00 per cent) in the end of 2021 compared to the expenses of the last two years (2020 and 2019) for the operational expenses paid were Rs. 525.88 (25.63 per cent) crores and Rs. 504.99 crores (28.29 percent). Business per store was Rs. 36.32 crore in 2020-21 and business per employee was Rs. 9.01 crore in the same year