Evaluation of positive emotion in children mobile learning application

This paper presents the evaluation of positive emotion in children's mobile learning applications. The mobile learning application is a teaching aid that can help students to self-study and increase the students’ interest in learning especially children. This paper will discuss how mobile learning application affects the children interest in school. The evaluation method implemented to evaluate the rate of positive emotion elicited by the children using mobile learning applications was a mixed method of qualitative and quantitative methods. Since emotion can be either negative or positive, the identification of a proper method or perspective was required to prove that positive emotion was really elicited. Next, the data was collected through the children’s assessment score, Electroencephalograms (EEG) device, Emotion identification using micro-expression (facial expression), Kort Scale and interview to confirm the positive emotion felt by the students. The result shows that all five perspectives or methods have shown that positive emotion is produced. It is found that the Mobile learning application can really trigger the children’s positive emotions

Fittings Malaysian active ageing to senior cohousing: a preliminary study

National Policy for elderly had encouraged the elderly to remain active, productive and create opportunities for them to live independently as Malaysia will reach ageing population status by year 2030. Senior Cohousing can be considered as a part of retirement home concept that can improve quality of life and encourages independent living. The objective of this study is to isolate the basic concept of Cohousing and to identify how Malaysian ageing can be fit with cohousing. A preliminary study was conducted among people that are in the age of 50 and over to seek their opinion regarding to current neighbourhood, cohousing potentialities and the acceptable of 6th cohousing elements to their neighbourhood. Data analysed through cross tabulation, likert scale and frequency analyses. The finding showed that the respondent had great potentialities to live in cohousing as they suit with the criterion. Hence, the elements of Neighbourhood Design which are safety and security; privacy; and the layout of the neighbourhood is the most important acceptable elements in developing cohousing. Overall this finding will be useful to identify senior cohousing mechanism especially in determining the suitable activities and to propose the other core elements of cohousing development suit with Malaysian active ageing community

Evaluating users’ emotions for Kansei-based Malaysia higher learning institution website using Kansei checklist

Emotions play a crucial role in human-computer interaction. Emotion research in the field of human-computer interaction has only started recently and continuously evolving through the investigation and understanding of emotional effects. Thus, it forms an intelligent interaction between human and computer by responding effectively to the humans’ feelings. Emotional design generates remarkable user experiences for websites as the emotional experiences create an intense impression on our long-term memory. Recent scientific findings recommend emotional elements to be considered in designing websites as emotions influences one’s perception, conception and decision-making throughout the interaction with a website. A poorly designed user interface leads to bad user interaction while rising the users’ arousal and a displeasing user experience with a website elicits dissatisfaction emotion where consecutively results in avoidance and prevents revisit to the website. This proves the importance of emotional engagement in a website design. This research evaluated users’ emotions toward a Malaysian higher learning institution website which was designed in accordance with the standard Kansei-based web design guideline. The result justified the standard Kansei-based web design guideline for website of higher learning institutions in Malaysia

User experience on Cisco Networking Academy E-Learning platform: a preliminary study

E-learning platform is no longer a novelty in this era of globalization. E-learning is becoming more and more popular and can improve the existing learning system. By using the E-learning platform, students will have more options to participate in the courses that are best for them because of the E-learning's ability to accommodate large scale users. Cisco Networking Academy has been implemented in UMS since 2003. However, no preliminary study was conducted to evaluate the implementation in the aspect of user experiences. Therefore, this paper explores end-user experiences in using the platform. An online survey employing 31 participants was conducted to investigate the user experience on Cisco Networking Academy E-learning platform at Faculty of Computing and Informatics for Network Engineering program, Universiti Malaysia Sabah. A modular evaluation of key Components of User Experience (meCUE) used in the structure evaluation of the questionnaires, consists of four modules; Module 1: Product Perceptions, Module 2: User Emotions, Module 3: Consequences of Use, and Module 4: Overall Evaluation. Overall, the Cisco Networking Academy E-learning platform can be well considered. The results show that most students have a positive experience towards the platform in which 58.4% gave positive response of the excellence of the platform (answered Excellent to Very Excellent). Although the findings are in the early stages, it provides a valuable overview of the e-learning platform as one of Malaysia's most common educational platforms

Mobile learning application: flipped classroom

This study attempts to illustrate the phases of designing a flipped learning mobile application. It is worth noting that changes in students’ learning behavior should be met by changes in the classroom – particularly on the way a course should be delivered. Studies have shown that students who learn using the flipped learning method are less likely to fail as opposed to their counterparts in the traditional classroom setting. The rising importance and popularity of flipped learning necessitates the development of a mobile application that assists both students to learn and allow instructors to manage their course via their mobile devices, almost anywhere and anytime. The software development life cycle (SDLC) is divided into four distinct phases: 1) Preliminary study, 2) content design, 3) System design and development, and 4) System evaluation. The effectiveness of the application is tested using electroencephalography (EEG). The findings suggest effectiveness of the mobile application falls within the acceptable range. Improvements for the flipped learning mobile application is also presented

Effect mobile learning application in children’s interest

Mobile learning application is a teaching aid that can help students to self-study with or without guidance. Unfortunately, the mobile learning application did not help in identifying the increase in students' interest in learning especially children. This paper will discuss how mobile learning application affect the children interest in learning. Mix method of qualitative and quantitative used to evaluate the children interest based on the assessment score, micro-expression (facial expression) and interview. The results from all of the three methods show a positive interest are exist among children

Determination of residential property value of Adamu Aleiru Housing Estate, Birnin Kebbi, Kebbi State, Nigeria, using multiple regression analysis

For many families, owner-occupied homes are not just a place to live; they are also a source of income. They make up the majority of the assets in these families' portfolios. The study seeks to use Multiple Regression Analysis to determine the residential property value in Birnin Kebbi with emphasis on Adamu Aleiru Housing Estate. The study was adopted both the primary and secondary sources of data collection. Using the sample of 96 transactions data, when the property was made as owner occupiers in the year 2005 and 2011, MRA was used to determine the micro (structural) variables that significantly influence on residential property value. The R2 had shown 0.936 with 343924.070 error of estimation. It means that 93.6% of the residential value could be predicted from number of rooms, fence, additional kitchen, water source, boys’ quarters, security post, condition, position, and house type. It was found that among the variables include in MRA; number of rooms, fence, security post, condition, position, house type, are all significant variable in determining the residential property value in Birnin Kebbi. While Additional kitchen, water source, and boy’s quarters found to be not significant in determining the residential value in Birnin Kebbi. A model was developed in the study area using the variables. Using a statistical test, the accuracy of the model was evaluated. The study was recommended that the model was accuracy to be use in the study area to improve the accuracy, objectivity and fairness of residential property in Birnin Kebbi

Analyzing publication productivity using a web-based system: A preliminary study

There is no automated system that collect Universiti Malaysia Sabah (UMS) academic staff publication from Scopus. Previously, data collection is made by retrieving the records from Scopus by searching for UMS affiliation and filtering by year. The data then is matched with Staff ID of the academic staff. This requires time and may lead to error because the work is done manually. In addition, the author name that are retrieved from Scopus may not be affiliated with UMS anymore, so the data is invalid. Thus, this paper highlights the significance of a project proposed as a platform for universities to gauge scholars’ research productivity in the Scopus database. Data from Scopus were extracted, analyzed and visualized using criterionssuch as age, academic position, as well asteaching loads that may affect a scholar’s research productivity. This paper focuses on the datest of academic staff from UMS, and their publication in Scopus, relative to their sociodemographic data

Elements of optimizing user engagement in e-commerce website

E-Commerce companies are faced with a highly competitive environment today. Strengthening and optimizing the user engagement elements in an ECommerce is a promising approach to increasing value co-creation. However, the lagged of attention to the recognition of user oriented emotional needs and expansion of user-driven demands in E-Commerce will eventually deteriorate business using the platform. Theoretical foundation of user engagement research is also still relatively underdeveloped. The purpose of this research is to explore and validate the user engagement attributes as it applies to peoples’ experiences with technology. By building the attributes that asserts the theory of engagement and recognised fundamental attributes, the reliability factorswere then assessed for validation. Preliminary study and reliability analysis were used for the identification of user engagements that would benefit E-Commerce. The result of this research reveals six attributes of user engagements and the reliability of the constructs was computed and have an alpha greater than 0.70 which presents excellent internal consistency reliability. Results indicate user engagement is a process comprised of six focused attention, perceived usability, aesthetics, endurability, novelty, and involvement. The process is characterized by attributes of engagement that pertain to the user, the system, and user-system interaction. This research provides the foundation for future work to further explore the conceptual model in various application areas, and to develop methods to measure engaging user experiences

Age-based facial recognition using convoluted neural network deep learning algorithm

Face recognition is the use of biometric innovations that can see or validate a person by seeing and investigating designs depending on the shape of the individual. Face recognition is used largely for the purpose of well-being, despite the fact that passion for different areas of use is growing. Overall, face recognition innovations are worth considering because they have the potential for broad legal jurisdiction and different business applications. It is widely used in many spaces. How it works is a product of facial recognition processing facial geometry. The hole between the ear and the good way from the front to the jaw are the main variables. This code distinguishes the highlight of the face that is important for your facial separation and creates your facial expression. Therefore, this study gives an overview of age detection using a different combination of machine learning and image processing methods on the image dataset