Regulation of Learning: From the Perspective of Male Students in Pakistan

Studies have shown that the students’ regulation of learning is associated to their learning outcomes, cognitive processing strategies and understanding of the content. In Pakistan, it was suggested that science students at secondary school possesses inadequate learning behaviours which diminished regulation of learning behaviours. This study was conducted with the intention to explore the issue of regulation of learning among secondary school science students in Pakistan. Twenty-four male students were selected purposefully to participate in the study. The data was collected through focus group interviews to understand their view of self-regulation of learning behaviour. The Applied Thematic Analysis was executed to analyse the student’s comments. It was found that the external regulation of learning in Pakistani secondary school science students were presence. Three common factors such as gender, teaching methods, and field of study were highlighted by the participants as a vital role in the development of external regulation of learning. The findings promote changes in teaching and learning approaches at the Pakistani secondary school level in science teaching

Hubungan Antara Minat Pelajar Dan Sikap Ibu Bapa Dengan Prestasi Matematik Terbaik Pelajar Program Sarjana Muda Sains Serta Pendidikan (Matematik) Dan Sarjana Muda Sains Dan Komputer Serta Pendidikan (Matematik) Di Fakulti Pendidikan, Universiti Teknologi Malaysia

Kajian ini dijalankan bertujuan untuk mengenalpasti hubungan antara minat pelajar dan sikap ibu bapa dengan prestasi matematik terbaik pelajar di Fakulti Pendidikan, Universiti Teknologi Malaysia. Seramai 109 pelajar terlibat dalam kajian ini yang terdiri dari kursus Sarjana Muda Sains Serta Pendidikan (Matematik/Kimia), Sarjana Muda Sains Serta Pendidikan (Matematik/Fizik) dan Sarjana Muda Sains Dan Komputer Serta Pendidikan (Matematik). Set soal selidik digunakan dalam kajian ini. Data diproses dengan menggunakan statistik deskriptif seperti min, peratusan dan korelasi. Dapatan kajian menunjukkan bahawa minat pelajar terhadap mata pelajaran matematik adalah tinggi dengan nilai min keseluruhan sebanyak 4.38. Seterusnya, dapatan kajian juga menunjukkan bahawa hubungan antara minat pelajar dan sikap ibu bapa berada pada paras sederhana (r = 0.464). Manakala analisis hubungan antara minat pelajar dan prestasi matematik terbaik pelajar (r = ?0.204) dan sikap ibu bapa dengan prestasi matematik terbaik pelajar (r = ?0.122) menunjukkan tiada hubungan yang signifikan. Ini menunjukan bahawa prestasi pelajar dipengaruhi oleh factor selain dari minat dan sikap ibu bapa. Beberapa cadangan juga dikemukakan dalam kajian ini

Faktor-Faktor Yang Mempengaruhi Tingkah Laku Merokok Di Kalangan Pelajar Sekolah : Satu Tinjauan Di SMK Taman Selesa Jaya 2, Skudai, Johor

Tujuan kajian ini adalah untuk mengenal pasti faktor-faktor yang mempengaruhi tingkah laku merokok di kalangan pelajar sekolah.Tiga persoalan utama yang dikaji iaitu faktor rakan sebaya, faktor keluarga dan faktor persekitaran. Kajian ini melibatkan 30 orang pelajar tingkatan satu hingga tingkatan lima yang terdiri daripada murid lelaki dan perempuan di SMK Taman Selesa Jaya 2, Skudai, Johor. Responden kajian ini terbatas kepada pelajar yang dikenal pasti dan mempunyai rekod pernah ditangkap atas kesalahan merokok oleh guru disiplin sekolah. Kajian ini berbentuk deskriptif menggunakan soal selidik sebagai instrumen kajian. Data dianalisis dengan menggunakan bantuan perisian SPSS Versi 13.5 for Windows (Statistical Package For The Social Sciences) bagi mendapatkan hasil kekerapan, peratus dan min. Daripada 3 persoalan tersebut didapati nilai min keseluruhan adalah sederhana. Keputusan kajian keseluruhan mendapati faktor persekitaran adalah faktor yang lebih kuat dalam mempengaruhi pelajar merokok berbanding dengan faktor keluarga dan faktor rakan sebaya. Beberapa cadangan telah dikemukakan bagi memungkinkan kajian lanjutan dilakukan

The development of post traumatic stress disorder among secondary school students in borno state Nigeria: a systematic review

Insurgency has long been rooted in the Nigerian society. It affected deeply in the daily activities of the country. Thousands of people including school children have been maimed, displaced, orphaned and killed in Borno and entire North Eastern Nigeria and some other part of North Western Nigeria especially in the state of Kano because of the insurgency. The Boko Haram movement for example have caused enormous chaos within the society especially the school children. The movement have targeted civilian populations irrespective of gender, tribal and religious inclination among people and, the merciless attack and bombings carried out by them including abduction and kidnapping of female students have caused destruction of the school facilities and the well-being of the society. A continuous exposure to such stress created by war resulted the development various difficulties such as Post-Traumatic Stress Disorder among school children. A systematic review was used to critically analyzed the impact of the insurgency in the society based on several related studies. The effect of the insurgency on the society was then highlighted which tells the story of the educational difficulties

Measuring usability for application software using the quality in use integration measurement model

User interfaces of application software are designed to make user interaction as efficient and as simple as possible. Market accessibility of any application software is determined by the usability of its user interfaces. A poorly designed user interface will have little value no matter how powerful the program is. Thus, it is significantly important to measure usability during the system development lifecycle in order to avoid user disappointment. Various methods and standards that help measure usability have been developed. However, these methods define usability inconsistently, which makes software engineers hesitant in implementing these methods or standards. The Quality in Use Integrated Measurement (QUIM) model is a consolidated approach for measuring usability through 10 factors, 26 criteria, and 127 metrics. It decomposes usability into factors, criteria, and metrics, and it is a hierarchical model that helps developers with no or little background of usability metrics. Among 127 metrics of QUIM, essential efficiency (EE) is the most specific metric used to measure the usability of user interfaces through an equation. This study involves a comparative analysis between three case studies that use the QUIM model to measure usability in terms of EE for three case studies: (1) Public University Registration System, (2) Restaurant Menu Ordering System, and (3) ATM system. A comparison is made based on the percentage of EE for each element of the use cases in each use case diagram. The results obtained revealed that the user interface design for Restaurant Menu Ordering System scored the highest percentage of EE, thus proving to be the most user-friendly application software among its counterparts

Comparative Analysis of Data Mining Techniques for Malaysian Rainfall Prediction

Climate change prediction analyses the behaviours of weather for a specific time. Rainfall forecasting is a climate change task where specific features such as humidity and wind will be used to predict rainfall in specific locations. Rainfall prediction can be achieved using classification task under Data Mining. Different techniques lead to different performances depending on rainfall data representation including representation for long term (months) patterns and short-term (daily) patterns. Selecting an appropriate technique for a specific duration of rainfall is a challenging task. This study analyses multiple classifiers such as Naïve Bayes, Support Vector Machine, Decision Tree, Neural Network and Random Forest for rainfall prediction using Malaysian data. The dataset has been collected from multiple stations in Selangor, Malaysia. Several pre-processing tasks have been applied in order to resolve missing values and eliminating noise. The experimental results show that with small training data (10%) from 1581 instances Random Forest correctly classified 1043 instances. This is the strength of an ensemble of trees in Random Forest where a group of classifiers can jointly beat a single classifier

Feature selection algorithms for Malaysian dengue outbreak detection model

Dengue fever is considered as one of the most common mosquito borne diseases worldwide. Dengue outbreak detection can be very useful in terms of practical efforts to overcome the rapid spread of the disease by providing the knowledge to predict the next outbreak occurrence. Many studies have been conducted to model and predict dengue outbreak using different data mining techniques. This research aimed to identify the best features that lead to better predictive accuracy of dengue outbreaks using three different feature selection algorithms; particle swarm optimization (PSO), genetic algorithm (GA) and rank search (RS). Based on the selected features, three predictive modeling techniques (J48, DTNB and Naive Bayes) were applied for dengue outbreak detection. The dataset used in this research was obtained from the Public Health Department, Seremban, Negeri Sembilan, Malaysia. The experimental results showed that the predictive accuracy was improved by applying feature selection process before the predictive modeling process. The study also showed the set of features to represent dengue outbreak detection for Malaysian health agencies

Bullying Type in Gender Perspective in Senior High School Students, South Sulawesi Province, Indonesia

This paper aims to identify the bullying type in South Sulawesi, Indonesia from gender perspective by using quantitative study. Quantitative data were obtained by using a set of questionnaires from 545 respondents in six districts in South Sulawesi. The result showed that bullying types such physical bullying, verbal bullying, social bullying and cyber bullying are significantly difference in terms of gender in South Sulawesi, Indonesia. Separately, the whole bullying type such as physical, verbal, social and cyber are also significantly different between male and female. The male students are more involved in bullying compared with female students. This finding hopefully can provide useful information for those who involved in bullying prevention program, school administrative staff and teacher

Reviewing the Role of Cognitive Load, Expertise Level, Motivation, and Unconscious Processing in Working Memory Performance

Human cognitive capacity is unavailable for conscious processing of every amount of instructional messages. Aligning an instructional design with learner expertise level would allow better use of available working memory capacity in a cognitive learning task. Motivating students to learn consciously is also an essential determinant of the capacity usage. However, motivational factors are often subject to unconscious rather than conscious emotional processing. This review sets out the need for further studies to elucidate the role of motivation and unconscious processing in the use of cognitive capacity