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The recent reviews indicated learning expertise level could be enhanced with skills, creativity and preferences. This stage should be taken at the first stage combined highly with providing the framework in underlying the learning expertise. This paper attempts to propose the model of Hau-Kashyap used to describe in yielding the robust results to measure the learning expertise level. This approach was selected to give an insight with a more accurate by examining twelve items of questionnaire applied among the students at tertiary level to explore the representation of wide range of knowledge and skills. The results found that the stage level of belief that ranges combined from the level of expertise 1–12 was indicated that Hau-Kashyap approach can be determined to measure the learners’ expertise more fairly and easily. This method is supposed to contribute providing the purposeful rule in combining the learning expertise constructed into a single and more informative hint with related concern of the measurement. Keywords: Hau-Kashyap approach, Learning expertise, Questionnaire, Student, Tertiary level

The current trend of technology advancement with digital devices such as smart phones, tablets, and laptops has shifted the way of societal life including teaching and learning. This initiative might also contribute to the typical approach of information and communication technology (ICT) to increasingly enhance the achievement through utilizing it in the education setting in the higher education context. Adopting social media in network data massively within the big data trends, the extraction of the particular means in providing structured data from enterprise resources data and sources of unstructured data from audio and video can begin with providing the value from information space such as message, conversation, transaction, and other sources. This chapter attempts to explore the design of adaptive learning technology in big data approach. Attempts to achieve particular advantage of big data with analytic process could provide the innovative environment of adaptive online technology to enhance pedagogy and technology skill to support the initiative way of teaching and learning process in the higher education (HE) context.

as an attempt to understand modern learning environment (MLE) to support learning in big data era, its exploration where the students are engaged to access online resources using their mobile devices, laptop and other digital devices needs to understand MLE as the term integrated between digital technology tools and learning skills. The convenient facilitation has a whole section designed to support learning styles which can exactly create the learning environment to be modern. This paper aims to explore innovative design for MLE with big data approach to see the chance in applying this model for the construction to the design of big data based learning environments to facilitate online learning towards information and knowledge in higher education setting. The finding reveals to propose model reference to be implemented to improve student learning outcomes in a technology-rich teaching and learning environment in higher education. As a result, this paper is expected to contribute in the support with an initiative in the learning performance.

Digital devices like tablets, smart phones, and laptop have become increasingly raised and utilised in higher education. As a result, current trends on ICT (information and communication technology) used in education begin widely with focusing on teaching and learning. The new concept of big data in recent ICT domain extends the promising research direction on online learning and big data integration through promising content that can be tailored for each student based on the context and Internet behaviour of users in online learning. This paper aims to explore innovative design for innovative online learning in Higher education using Big Data approach. Critical review from referred journals and books was conducted using thematic analysis. This paper proposes model reference which can be implemented with the technology in teaching and learning to improve student learning environment and outcomes and to enhance students’ development, performance and achievement in learning process in higher education.

Background and Objective: Educational entrance examination refers to the extent in selecting the student to enroll through admission into educational institution. It has an entire procedure administered to achieve from primary to higher education. However, not many researches were conducted using mathematical theory of evidence. This study aims to investigate the examination process about the admission into educational institutions using mathematical theory of evidence. Materials and Methods: The assessment on student's entrance examination through the effectiveness of Dempster-Shafer theory can be viewed with its significant contribution by combining the previous measure of evidence. Eight student's entrance examination results were proposed. Results: The result reveals that there were some significant findings in assessing the student's entrance examination using mathematical theory of evidence. Those were obtained degrees of belief of Computer Science with 76.4% for student 1, Computer Science with 64.2% for student 2, Computer Science with 75.4% for student 3, Computer Science with 80.3% for student 4, Computer Science with 67.4% for student 5, Computer Science with 57.1% for student 6, Islamic Studies with 26.3% for student 7, Computer Science with 62.5% for student 8. Conclusion: In this research, mathematical theory of evidence has been successfully developed to assess student's entrance examination and displaying the result of identification process.

Cyber counselling or e-therapy has widely been adopted as the new approach to give an insightful guidance into the clients. In higher education (HE) level, this initiative seems to have rarely been involved due to some technical requirements and preparations. This paper aims to present the approach of e-therapy using mobile application design. The finding illustrates that promoting this model application can theoretically assist the transmission process of counselling in the academic circumstance where both students and advisors may have a continuous engagement with more convenient quality in solving the issues surrounding the academic purposes. The attainment of this paper is expected to contribute in enabling the process of academic counselling in the context of higher education (HE). Strengthening practical and relational value maintaining connection to facilitate the sensitive issues disclosure is expected to help students solve their academic issues, such as reflecting the learning achievement.

The Government program in tackling the economic crisis that has occurred so far is by providing direct assistance to very poor families (KSM) in every village throughout Indonesia. The Family Hope Program (FHP) is one of the government's conditional aid programs as a form of compensation from the fuel price increase, which certainly affects the lives of the wider community, including the poor. In order for the expected results to be more accurate and the system designed is arranged systematically, the authors decided to use Analytical Hierarchy Process (AHP). This decision support model will describe the problem of multi-factor or multi-criteria into a form of hierarchy, From the results of the test the shrill and weight of FHP assistance is the type of work of the head of the family is not fixed in the first rank with 4.9 shrill. With the results of the output is feasible or not prospective recipient in FHP, obtained from the comparison of the lamda weight of the rating category with the weight value of the predetermined ratio.

The process of selecting a college should be based on the capabilities and needs of the community. When society is faced with a large selection of college criteria and most societies are confused about choosing the appropriate college for themselves and the job demands. From this it was made a decision support system aimed at helping the community to choose a college that suits the ability and demands of the work. Decision support system plays a role in helping people get the right recommendations in the selection of universities. This decision support system is also designed to help the community to choose a college that suits their needs so that the public is not confused because of the many criteria of universities faced by the community because the admin already has recommendations according to the needs of the community by using Simple Additive Weighting (SAW) method.

This paper presents learning analytics as a mean to improve students’ learning. Most learning analytics tools are developed by in-house individual educational institutions to meet the specific needs of their students. Learning analytics is defined as a way to measure, collect, analyse and report data about learners and their context, for the purpose of understanding and optimizing learning. The paper concludes by highlighting framework of learning analytics in order to improve personalised learning. In addition, it is an endeavour to define the characterising features that represents the relationship between learning analytics and personalised learning environment. The paper proposes that learning analytics is dependent on personalised approach for both educators and students. From a learning perspective, students can be supported with specific learning process and reflection visualisation that compares their respective performances to the overall performance of a course. Furthermore, the learners may be provided with personalised recommendations for suitable learning resources, learning paths, or peer students through recommending system. The paper’s contribution to knowledge is in considering personalised learning within the context framework of learning analytics.

In the last decade, the demand of digital tool to support educational process has been emerged among the universities around the world. In big data era, the demand to utilize it in adaptive teaching should be considered to enable the teaching performance especially in accessing the resources. This paper aims to explore the framework model as a way for teachers in adapting big data to help their teaching performance especially in accessing the resources. The literature review was conducted from peer review journals, books and conferences. The findings reveal that process and management skills should be engaged into adaptive teachings competencies. It included commitment in planning, time management, and technology skills. This study is expected to contribute in strengthening teaching performances in the application guideline in the big data era to support assessing the multi-channels of sources of knowledge to extract new insights of value in exploring the adaptive teaching competencies.

Design is an important thing in this research. This design includes the specifications of the components contained in the circuit and how the circuit works. In the early stages, component selection is done as needed. After getting the required components, the next step is the design and manufacture of tools. This design is intended to learn the circuit and work system tool that will be made. The purpose of making this tool is design and make blower smoke and auto fragrance disposal using MQ-5 sensor based microcontroller ATMega 8535. The benefits of making smoke disposal and auto fragrance blower using MQ-5 sensor based microcontroller ATMega 8535 is to dispose cigarette smoke and automatically fragrances the room to prevent the build-up of cigarette smoke in a room and to help minimize the dangers of cigarette smoke for passive smokers so that the air circulation in the room keeps going well.

Travel and dance form in Indonesia is closely related to the development of community life, both in terms of ethnic structure and within the scope of the unitary state. This study determines the criteria for selecting dancer members and how to apply the qualified Simple method. Based on predetermined criteria is the ability to dance physical flexibility, skilled, nimble, confident, have the ability, fill out the form, and certificate of achievement. From the results obtained values then V1, V2, V3, V4, V5 is a member of a qualified dancer and has a highest value with a score of 100 which was obtained from V2.

Notebooks are technological devices widely adopted to assist in human daily life including learning, business, communication and other tasks. Equipped with the distinctive features, notebook was facilitated more simply for one touch screen basis to enable freely in exploring the users’ creativity. This study attempts to examine the process of selecting notebook brand among the consumers. Using AHP (Analytical Hierarchy Process) to help decision support system in the selection of Notebook from decision support systems designed to enhance all decision-process through identifying problems, selecting relevant data and defining the approaches was used to evaluate the selection of alternatives in the decision-making process. The finding reveals that the visibility of decision making into the ranking of priority with alternative choice of notebook can be viewed as follows Zyrex 16%, HP 15%, Asus 14%, Apple 13%, Samsung and Axioo 11%, Acer and Toshiba with priority 10 %.