Context Aware Academic Planner Design

Context Aware Academic Planner Design Designing a Context Aware Academic Planner Al Khan bin Abdul Gani Abstract Academic calendar planner is an application whereby can give tremendous advantages to students, particularly university students and academic personnel. By using the academic calendar planner, student and academic personnel can manage their academic schedule anytime anywhere. Academic calendar planner let user to edit and amend their calendar activity up to date. Rather than that, user can have the interaction between other user which is interaction between lecturers and students. One ability that can’t be find in other academic calendar planner is the ability to change the view from monthly, weekly and daily basis and per semester based on user preference. And for that, academic calendar planner allow user to create group and which each user has ability to see the schedule of other user. Keywords— Academic Planner, social application Introduction The aim of this paper is to determine the context aware to be considered to develop academic planner by do literature review on previous paper and conducting a survey of students and lecturers to acquire the response regarding the academic planner. This paper focuses on proposed academic planner for UiTM. Academic calendar planner is an application whereby can give tremendous advantages to students, particularly university students and academic personnel. By using the academic calendar planner, student and academic personnel can manage their academic schedule anytime anywhere. Academic calendar planner let user to edit and amend their calendar activity up to date. Rather than that, user can have the interaction between other user which is interaction between lecturers and students. One ability that can’t be find in other academic calendar planner is the ability to change the view from monthly, weekly and daily basis and per semester based on user preference. And for that, acad emic calendar planner allow user to create group and which each user has ability to see the schedule of other user. Background This application develop for those student, lecturer and academic personnel who’re looking for featured application to manage their academic calendar. Current system in Universtity for an example UiTM only provide non-dynamic academic application to Student and Lecturer. Basically they totally rely on academic calendar to help them manage their academic schedules. But the problem with the existing academic calendar is, the calendar are limited to certain activities such as: Only academic personnel has right to add new academic plan, university events, public holidays etc. Lecturer and student can only view the calendar. They don’t have the authorization to do the updates or change any of the calendar information. Sometimes Lecturer wants to cancel and do the class replacement. Because of limited functionality of the current academic calendar, this leads to unreliable calendar information. In certain circumstances, student need to meet their lecturer, unfortunately lecturer is not are not around. This is due to unreliable calendar information about the availability status. METHODOLOGY This research is to determine key areas for a specification requirement to be considered for designing a context aware Academic. Two approaches have been used to find the best practice to identify the appropriate elements and features based on a literature survey and questionnaires. FRAMEWORK Element/Feature Application Figure 1: Research mission. Figure 1 represent the methods used to determine the features before design the application Literature review A literature review need to be done in order to continue the study on this topic. A literature survey was conducted to investigate the current issues and common element features of developing a context aware. Table 2 is a draft of element functions involving the academic planner system. TABLE 2: DRAFT FROM LITERATURE SURVEY The existing other Planner A literature review need to be done in order to continue the study on this topic Context awareness Ubiquitous computing (pervasive systems) was first proposed by Weiser (1991). Context-aware systems are a type of pervasive system and are viewed by computer scientists as a mature technology [1, 2]. A definition for context is given by Day in [3]: context is any information that can be used to characterize the situation of an entity, an entity is a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and application themselves. Context-aware systems are able to gather contextual information from a variety of sources without explicit user interaction and adapt their operation accordingly [4]. Context-aware systems have the ability to integrate easily with any service domain, such as healthcare, commerce, learning and transport. A context-aware system must include three essential elements: sensors, processing and action. Three types of sensors are defined: physical, virtual and logical [5]. A physical sensor, such as a camera or thermometer, captures information about its local environment [6]. In contrast, virtual sensors extract information from virtual space, which is defined as the set of data, applications and tools created and deployed by the user. Logical sensors combine physical and virtual sensors to extract context information. For example, a company can infer that an employee is working from home using login information (a virtual sensor) and a camera (physical sensor) [1]. Context-aware user interfaces facilitate the user interaction by suggesting or prefilling data derived from the users current context. This raises the problem of determining which context information can be used as input for which interaction element in the user interface. This task is especially challenging as the texts that describe the elements, e.g. their labels, often differ in the terminology used. To facilitate the interaction with an application, we need user interfaces (UIs) that provide proactive assistance, for example by suggesting which values to enter in a form. Melanie is his paper present a novel mapping process for that purpose which combines the advantages of string-based and semantic similarity measures to bridge the vocabulary gap between context and UI element, and which is able to automatically extend its vocabulary by observing the users interactions. Their research show that these two features dramatically increase the quality of the resulting mapping. Unlike previous approaches, the proposed mapping process does not require any training or manually tagged data. Further, it does not only use the label to describe the context and UI elements, but additional texts like their tooltips. Context-aware applications are expected to become a remarkable application area within future mobile computing. As mobile phones form a natural tool for interaction between people, the influence of the current context on collaboration is desirable to take into account to enhance the efficiency and quality of the interaction [1]. Context-aware mobile devices have so far been investigated mainly from the technological point of view, examining context-recognition and sensor technologies inferring logic, system architectures or infrastructure. There have also been examples where contextual information has been used to facilitate co-operation between mobile users. User’s personal information, such as reminders, phonebook contacts or calendar notes, can be used as an information source which is used when creating location-sensitive messages, as done with CybreMinder [2]. Schmidt et al. [3] introduced a context-aware phonebook, which indicates the availability of a contact the user wants to call to. Location is probably the most commonly used context attribute, and it has been used to develop numerous location-aware mobile systems, such as GUIDE tour guide in Lancaster [4] or visitor’s guide at Tate Gallery, London [5]. Cloud Application A cloud application (or cloud app) is an application program that functions in the cloud, with some characteristics of a pure desktop app and some characteristics of a pure Web app. A desktop app resides entirely on a single device at the users location (it doesnt necessarily have to be a desktop computer). A Web app is stored entirely on a remote server and is delivered over the Internet through a browser interface. Like desktop apps, cloud apps can provide fast responsiveness and can work offline. Like web apps, cloud apps need not permanently reside on the local device, but they can be easily updated online. Cloud apps are therefore under the users constant control, yet they need not always consume storage space on the users computer or communications device. Assuming that the user has a reasonably fast Internet connection, a well-written cloud app offers all the interactivity of a desktop app along with the portability of a Web app. If you have a cloud app, it can be used by anyone with a Web browser and a communications device that can connect to the Internet. While tools exist and can be modified in the cloud, the actual user interface exists on the local device. The user can cache data locally, enabling full offline mode when desired. A cloud app, unlike a Web app, can be used on board an aircraft or in any other sensitive situation where wireless devices are not allowed, because the app w ill function even when the Internet connection is disabled. In addition, cloud apps can provide some functionality even when no Internet connection is available for extended periods (while camping in a remote wilderness, for example). Cloud apps have become popular among people who share content on the Internet. Linebreak S.L., based in Spain, offers a cloud app named (appropriately enough) CloudApp, which allows subscribers to share files, images, links, music, and videos. Amazon Web Services offers an AppStore that facilitates quick and easy deployment of programs and applications stored in the cloud. Google offers a solution called AppEngine that allows users to develop and run their own applications on Googles infrastructure. Google also offers a popular calendar (scheduling) cloud app. FINDINGS Questionnaires Analysis Proposed Feature In Academic Planner After several study in traditional planner and existing planner that related to Academic Planner, reviewing literature and questionnaire, the new features introduced to improve the academic planner Optimizing class scheduling in collaborative mobile systems through distributed voting Decision making through distributed voting can help automate routine-like collaborative class schedule, appointment and Event. In this paper author concentrate on how distributed voting strategies can be used for scheduling meetings in mobile and pervasive environments. Their work focuses on optimizing the meeting scheduling result for each participant in a mobile team by using user-specific preferences and information available on their devices. This negotiation is done in a distributed manner directly between the peers. In this paper author describe different approaches for the decision making strategy involving voting theory to balance out the different user preferences and availabilities. The weight of the votes from each participant can also be adjusted according to their importance or necessity in the given meeting. We also introduce briefly an approach to support distributed decision making strategies pervasively using a lightweight Web-based platform. To conclude the paper, w e give our views on the future development directions and evaluation plans as well as extend the approach for other related domains [1]. Categorizing Task Occurrence Pattern When we make a future plan of our work, we can predict or forecast the upcoming tasks, because we know that fair amount of our tasks are to be occurred as were occurred in the last year/month repeatedly. In addition, we know we have many dependent tasks; for example, there will be a series of regular meetings with the ofà ¯Ã‚ ¬Ã‚ ce staff for which various auxiliary tasks need to be completed, for example, Announcement, Setting up Room, and Sending Minutes tasks. These related tasks are approximately on the same time grid with other corresponding tasks. This type of regularity is called a Task Occurrence Pattern, which arises from the repetition of tasks and the alignment of related tasks [4]. To conà ¯Ã‚ ¬Ã‚ rm how much the real tasks are on the Task Occurrence Pattern, all tasks of a year of a user, who is a graduate student, are gathered and inspected from the view point of dependence and recurrence.