Mashup for knowledge sharing paradigm: A case study in undergraduate industrial internship training programme

Foong, Oi-Mean; Kadir, Norfarahin Adiba Abd; Kasbon, Rozana; Yong, Suet Peng

doi:10.1109/iccisci.2012.6297240

2012 International Conference on Computer &Amp; Information Science (ICCIS) 2012

DOI: 10.1109/iccisci.2012.6297240

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Mashup for knowledge sharing paradigm: A case study in undergraduate industrial internship training programme

Oi-Mean Foong

Norfarahin Adiba Abd Kadir

Rozana Kasbon

et al.

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“…This is used to predict the final grades of students based on their web use feature and can distinguish those students that are at risk among the whole batch of students hence, tutors can provide appropriate guidance promptly. Oi Mean Foong[10]. Mashup for Knowledge Sharing Paradigm: A Case Study in Undergraduate Industrial Internship Training Program In this paper.…”

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Review Paper on Data Classification for Job Placement Using Fuzzy Logic

2024

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The management of Training and Placement is supported by paper-based systems and databases. Training and Placement is a crucial part of any educational institute in which most of the work now is being done manually. The aim of this project is the Automation of Training and Placement unit. The project will include minimum manual work and maximum optimization, abstraction, and security. This is a web application that will help students as well as the administration authority to carry out each activity in this department. The system is an application that can be accessed throughout the organization with proper login provided. This system can be used as an application for the Training and placement officers (TPO) of the college to manage the student information regarding placement.

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Review Paper on Data Classification for Job Placement Using Fuzzy Logic

2024

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MIP: Mashup for Industrial Internship Placement

Foong¹,

Kasbon²,

Yong³

et al. 2014

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In this paper, Mashup for Internship Placement (MIP) system for undergraduate students is presented. One of the problems in Student Industrial Internship Unit is the lack of proper channel for information sharing among the internship students during or after the training. Thus, it is a challenge for students to decide which internship offer to accept due to lack of knowledge about the potential company and the unavailability of information about the job offered. The MIP system for undergraduate students is proposed to integrate disparate data from multiple sources using Yahoo Pipes. The objectives of this research are twofold: (1) To investigate mashup as a new paradigm for information visualization and (2) To develop a prototype system that incorporates features for user to view the location and information about the company that offers internship placement in Kuala Lumpur, Malaysia. Rapid Prototyping methodology and Yahoo Pipes were used in the design of the MIP system. Data from Google Maps and host company's details were extracted using Fetch Feed widget in Yahoo Pipes and integrated with the RSS feed to display search results on interactive map. Preliminary results show that the MIP prototype system is a useful Web 2.0 application for assisting users in making just-in-time decision.

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Mashup for knowledge sharing paradigm: A case study in undergraduate industrial internship training programme

Cited by 2 publications

References 11 publications

Review Paper on Data Classification for Job Placement Using Fuzzy Logic

Review Paper on Data Classification for Job Placement Using Fuzzy Logic

MIP: Mashup for Industrial Internship Placement

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