Nowadays the term ‘cloud computing’ is becoming as an imperative element for any organizational setup. In this paper, we recommend a service based cloud model to meet the education oriented technological needs of academic institutions in Middle East. In this new globalized economy, academic institutions must provide high quality teaching-learning infrastructure to prepare students for the growing challenges of the 21st Century. This paper tells a model based approach to equip the students and faculty to improve their skills on the basis of the needs of the industrial standards. Therefore, this study will help in the improvement of the current educational system and it will balance the requirements of the industrial jobs. Multi-campus institutions or institutions under Government can make use of this as part of their professional tie-up to share knowledge, resources and to upgrade skills by reducing the gap between the academic curriculum and industrial standards. Such institutions can deploy cloud services in terms of ICT infrastructure, student skill assessments, student training-placements and usage of learning environments over cloud. In the current scenario, the majority of institutions in Middle East approach On premise' ICT facilities for their tie-up with industries for campus recruitments or to give on-the-job training for students. It creates time gap, more manpower and processing. Therefore we are recommending an algorithm within the academic cloud framework in a collaborative filtering approach to recommend the students for the job based on the most demanded IT Jobs offered by the industries. This approach will really help the students to know the highly demanded job skills during their studies and it will help the institution to upgrade their course curriculum. This review of domain provides timely and useful insight that helps the employers to identify a subset of suitable resources from a variety of choices. Our research will definitely support any organizational end users to meet their requirements.
[1]
Sukanta Sarkar,et al.
The Role of Information and Communication Technology (ICT) in Higher Education for the 21st Century
,
2012
.
[2]
Rupesh Sanchati,et al.
Cloud Computing in Digital and University Libraries
,
2011
.
[3]
Paul Resnick,et al.
Recommender systems
,
1997,
CACM.
[4]
Robin D. Burke,et al.
Hybrid Recommender Systems: Survey and Experiments
,
2002,
User Modeling and User-Adapted Interaction.
[5]
Nabil Sultan,et al.
loud computing for education : A new dawn ?
,
2009
.
[6]
Tuncay Ercan,et al.
Effective use of cloud computing in educational institutions
,
2010
.
[7]
Alexander Tuzhilin,et al.
Towards the Next Generation of Recommender Systems
,
2010,
ICE-B 2010.
[8]
Josep Lluís de la Rosa i Esteva,et al.
A Taxonomy of Recommender Agents on the Internet
,
2003,
Artificial Intelligence Review.
[9]
Dimitrios Zissis,et al.
Securing e-Government and e-Voting with an open cloud computing architecture
,
2011,
Gov. Inf. Q..
[10]
Z. S. Seydametova,et al.
CLOUD SERVICES IN EDUCATION
,
2011
.
[11]
Ibrahim M. Al-Jabri,et al.
Cloud Computing Adoption by Higher Education Institutions in Saudi Arabia: Analysis Based on TOE
,
2015,
2015 International Conference on Cloud Computing (ICCC).
[12]
Harry Helms.
The Third Planet: Surfers, Bedsprings and Harmonicas.
,
1991
.
[13]
Machunwangliu Kamei.
ICT for Education (ICT4E) – the Problem Zone
,
2015
.
[14]
Matt Goldner.
Winds of Change: Libraries and Cloud Computing
,
2010
.