Home Blog Page 1650

Tele-Education Bringing

Tele-education with all its regular innovation is creating new environment for training, learning and interactive discussions. It is opening path for transforming the way we live, act, think, learn and communicate. Barrier due to distance is vanishing to provide various lectures/courses in far-flung areas for the benefit and development of people across the region, country, continents, etc.

In the present day scenario, tele-education is important for the under-developed and developing countries as it has the potential to expose the student for the multifarious learning experiences and opportunities that challenge and maximise learning potential. Unlike the traditional learning system, here the learner has to take the responsibility of learning effectively and has to prepare himself for better interaction with the teacher during the session. It also enables students/learners to grow in a holistic way, interacting with successful professional, thus inspiring and boosting enthusiasm of the students. The ultimate aim of tele-education system is to transform the student community from reactive to interactive and from interactive to proactive and make them ignited. It serves as an excellent medium to develop capacity building for the region where education through electronic means can promote the well-being and development of the people.

In this context it will be relevant to narrate what Govt. of India is going to do for capacity building in Africa by way of imparting education to at least 10, 000 African students through tele-education over Pan-African e-Network. The President of India Dr. A.P.J. Abdul Kalam, during the inaugural session of the Pan-African Parliament held at Johannesburg on 16th September 2004, proposed in his talk a project to connect all the 53 nations of the African Union by a Satellite and Fiber Optic Network that would provide effective communication and connectivity among the Nations. The proposed network would primarily provide tele-education, tele-medicine, Internet, videoconferencing and VOIP services and also support e-Governance, e-Commerce, infotainment, resource mapping and meteorological services. As a follow up of the initiative of the President, the Ministry of External Affairs of the Govt. of India proceeded with setting up of a network called Pan-African e-Network, which shall mainly provide tele-education and tele-medicine to 53 African Nations.

The forerunner to the Pan-African e-Network is the Ethiopia pilot project on tele-education and tele-medicine, that has already been commissioned in the last quarter of 2006. TCIL as the implementing agency has established a fiber-optic based network to transmit interactive sessions for the PG/UG courses from IGNOU in New Delhi, India to tele-education centres set up in Addis Ababa and HaraMaya Universities in Ethiopia. While 40 students are already taking MBA Course since March 20, 2007, more students have expressed interest to enroll for this course as it can offer professional degrees without leaving their country. Encouraged by the experience of the pilot project funded by the Govt. of India, Ethiopia is planning to open 20 more tele-education centres in the near future.

The broad architecture of the Pan-African e-Network has been designed as follows:
The project involves connecting the following facilities/elements in a network across the 53 African Nations and thereafter maintaining it for 5 years to provide tele-education, tele-medicine and Heads of States connectivity:

  • Data Centre at TCIL Bhawan, New Delhi in India
  • Satellite Hub earth station at Senegal
  • Seven University to provide tele-education courses from India
  • Five leading regional universities of Africa
  • Five regional super specialty hospitals of Africa
  • Two Super Specialty Hospitals to provide expert medical services and CME from India.
  • Three Learning Centres in Africa, one in each country
  • 53 Patient-end Hospitals in Africa, one in each country
  • 53 VVIP nodes for providing Video-conferencing and VOIP connectivity to Heads of States in Africa.

The network design provides for transmission of he live, interactive lecture content from a selected university to pass through a Data centre in TCIL HQ and will be transmitted over an IPLC (International Private Leased Circuit) for onward delivery to a satellite hub earth station in Africa. From the hub station, the content will be up-linked to an international satellite like Eutelset/Intelset and then down-linked to various VSATs, one in each country, for the purpose of tele-education. In this fashion, the teacher at India end shall be able to deliver his live lecture to the registered students sitting in model classrooms equipped with multimedia facility in African nations. In case a student is unable to attend a class, he would be able to asynchronously access the lecture contents stored in the database, through Internet. All the academic processes right from enrolment/registration of students with a particular university up to his certification for a degree or diploma in the prescribed course of study shall be through a portal; in this way the education delivery mechanism will completely dispense with the conventional methods of teacher-student interactions and administrative, academic processes.

The tele-education set up in the university uses studio comprising camera, audio-video mixer, editing system, computer hardware and application software for capturing, storing and transmission of the content/lectures for a learning session. It is to create the virtual remote classrooms in a multi-studio and multi-class environment with seamless two-way interaction between the teachers and students through collaborative tools. The system provides seamless, one-to-one, one-to-many connectivity through heterogeneous network platform in an IP-based multi-casting mode of delivery.

Spread of tele-education
The success of the tele-education projectin Ethiopia has generated demand for the solution to other places and countries also. A small variation of the solution
as applicable in different situation and requirements can be designed for implementation. The system can be customised to have scalability and offer features as required or that can be added later over a period of time.  The uniqueness of the solution is that it offers a cost-effective and quicker  system that can be implemented in widely diversified geographical regions.  Other variation of solution using videoconferencing unit are also being used for training and teaching at various locations. The potential of tele-education as a
viable solution to cut cost on training has been realised by corporate bodies. Training through tele-education system  can improve the productivity and efficiency of a company. The travel time and cost can be reduced if training is
imparted through tele-education system.  Many companies/organisations having sites at remote places can arrange training and workshops or technical
discussions with the employees. In this way, with proper design of the architecture and the content for learning and training, tele-education can  bridge the knowledge gap that exists across the society, company, country and
continents at large.

School Management : An Integrated Approach

The quality of  learning that students experience at schools is of strategic importance for both their future and of the nation. To promote literacy, various schemes have been proposed by the Government of India such as Sarva Shiksha Abhiyaan, Mid-day meals, etc. Effective implementation of these schemes require concrete data periodically, based upon certain parameters, that enables authorities to assess the efficacy of the scheme in a transparent manner. Data management in schools is done primarily on paper. Monitoring of resource utilisation in schools is difficult as it is paper-based and has many bureaucratic hurdles. With growing number of students, data management is becoming laborious and error prone for both school as well as government authorities. It is arduous to gather, analyse and disseminate such vast amount of information through manual processes.src=”data:image/png;base64,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” alt=”” width=”200″ height=”450″ />

An ICT based solution will drastically improve school administrative operations(management of students, teachers, funds, operations scheduling etc.) by reducing latency in data management and makes the operations less error prone.

The article proposes a model that will provide a common platform for school management, which also support interfaces in regional languages. This has profound implications for stakeholders at higher levels as they wish to manage schools using a common interface.

The school system in India is composed of primary, upper primary and high schools. A collection of schools forms a cluster, clusters form a block, blocks are under a district, districts form a state and states form the country. Such hierarchy is useful in decentralizing the management of schools. Operational information of a school flows from lower levels to higher levels. In the process the information can be analysed before being presented to higher level for appropriate decision-making.

Schools are the fundamental units of operation within this education system. Data is generated through operational activities in a school. This data needs to be managed and school operational activities need to be monitored. The School administration consists of number of components. They are

The model for management of school information and integration of schools across the country follows a layered approach. Each layer is dependent upon the layer below it. The lowermost layer defines a model which captures data to be managed and the uppermost layer provides interaction with the system.

It has the following three layers

1. Data Model
This model uses a classification based  n school types. Each school type has
its own operational requirements. The e  equirements can be modeled as a set of
attributes and a administration hierarchy. This model is itself multi-layered. Alayer is defined for each policy making bdy. This model defines the hierarchy  eeded for data entry and data management. Data providers at various levels provide data stamped with their signature. The data will be validated and again stamped by the signature of auditing authority as it moves from one level to another. This verified data will be made available to all stakeholders. This model also defines the security attributes for managing the data and provides support for feedback from various levels. The feedback and the actions taken upon are again visible to all the stakeholders ensuring transparency in the process. Data centers The data related to managed attributes from the data model is stored at data centers. A data center can be located  anywhere in the administration hierarchy where infrastructure is available. A level can manage its own data locally and this local data is not accessible to higher levels. But a lower level is required to furnish data as defined by the data  model to the upper level. Such a system allows a level to manage its local data  effectively & efficiently, yet maintain required relationship with  higher levels. Software Support The data model defines attributes for which values are stored in data centers. In current times, when the volume of information is large, paper based
processes are ineffectual. Software support is essential for speedy data recording, on-demand data retrieval, data analysis and report generation. The software should provide following facilities. 1.Data collection interfaces These interfaces are used to record data into the system related to school operations. They should be usable across wide array of devices  such as PCs, PDAs and kiosks, maximising the reach to a large section of the country. Data analysis tools These tools help decision makers at various levels in taking timely and effective decision that is based both on empirical data and current trends. These tools should provide facilities for identifying patterns, trends and relationships. Reporting Tools Reports are required by  administrative authorities from time-to-time and they can be  generated in different formats(tabular, graphs, charts, multiple document formats, etc.) based on  specified parameters. Also software should support the following characteristics: Support for diverse technologies  In a country, as large as India, there are many prejudices and tastes that  differ from region-to-region. They use different technologies for data management. All these different  usages must be combined under one umbrella such that they can interact with each other in standard manner. Localised user interfaces  India is a country with many official

Usage Scenario
The first step is the definition of datamodel. Existing classification of school types i.e., primary, upper primary and high school will be used in this data model. School policies are determined  t two levels. National policies for education such as fund allocation are made by national authorities. Further state bodies make various regulatory policies for schools under it. National  authorities require minimal information about every school in the country for tracking progress, fund utilisation, compliance with schemes, etc. The required information can be categorised into profile and operational information. Profile
information of a school consists of its identification information, location, primary contact, etc. Operational  nformation consists of admissions, drop-outs, compliance with center defined educational schemes, etc.  Each state has its own educational policies in addition to those defined by the center. Additional data needs to be managed at the state-level giving information about all the school operations under it. For e.g., a state might decide to maintain information about history, library facility, play grounds, number of toilets, laboratories, etc. as part of school profile. A state has requirement to manage operational information about schools as determined by state policies. These information include staff and student attendance, class schedules, exam records, fund management, etc. Schools, clusters and blocks are located largely in rural areas. Hence, it is impractical to have data centers 3. located at these nodes as there will be inadequate infrastructure and skilled human resources. Data centers can be located in each district, but this would give rise to multiple points at which, management of data extensions resulting due to new or updated policies, becomes difficult. Also data backups at so many locations is a point of concern. As schools follow policies made by state, the common data center can be hosted at state level. This does not have issues identified at district level above.  he required software will be installed at a state-level facility. This arrangement handles the issues of software maintenance which would be otherwise difficult if hosted at multitude of places. The server-side software will be Web Service based. Web Services is a  technology for developing distributed systems that provides interoperability using web-based standards. This is achieved through the means of standardised interfaces. These interfaces are used by clients to interact with web services. If different states support server-side web services having the same standardised interface across the country, it provides a common platform for uniform data recording format, data retrieval operations and data analysis. The other main advantage is that a given existing application can be exposed as a Web Service allowing different states to use different technologies for data management as per the available expertise and requirement and still be able to integrate with each other. Data regarding school operations is recorded using interfaces provided by this software application. Whenever data is recorded in the system, it is time-stamped and also carries data  rovider’s signature. This will ensure accountability at all levels for all operations. Further a data record, once entered into the system, cannot be modified by anyone. If required, erroneous data record can be corrected and a new version of the existing record will be added along with the reasons for the manipulation. This effectively maintains the complete log of any  instance of an operational activity. The complete history of any data  record is visible to anyone ensuring transparency in the operations. Data  records have a life cycle in this system. They are introduced in the system by a data provider. Next these records pass  through an audit process and the results are recorded which are again stamped with signature of auditing authority. Once a data record successfully passes through the audit, then only it becomes available for analysis. Data analysis which is based on verified datarecords results in accurate decision making.A streamlined process is required to achieve global data access, transparency and efficient operations. The model proposed above inherently provides these characteristics at all levels to all stakeholders within the education system. Usage of technologies such as Web Services for implementing this  model can help realise the goals and reap the fruits in the shortest span of  time. This model provides accurate data gathering and hence enables concerned authorities to take correct decisions. Transparency of the system reduces chances of malpractices and also conforms to the Right To  Information act.

Onward to E-asy Education

Although its interesting to see every time a headline on e-Learning boom that’s just ’round the corner’,  the fact was more true some five years ago. This as an industry, has certainly made a big stride in these few years, with the industry leaders thinking innovative, and riding up the value chain all through. The boom is so big that at times it brings the comparison with the dot com bubble. But the industry is relieved that India certainly will find purpose in the competitive landscape of technology integrated education, with the  global market intelligence and advisory firm IDC’s projection, ‘the e-Learning market will grow from USD6.5 billion in 2002 to USD28 billion in 2008’.

There is a huge need and appetite for quality education in the country. Technology has to play a role in catering to this need. The other cue for the industry players can be, the Indian government seemed to have woken up to the demands of the industry, announcing in late February the broad direction of support for India’s technology industry. Together with planned government initiatives in education, and the establishment of three more Indian Institutes of Science (IISc), four to five Indian Institutes of Technology (IITs) and business schools like the Indian Institute of Management (IIM), the policy changes could very well address the areas of weakness in e-Learning.

As we move towards convergence and integration in digital economy, the field of e-Learning is seeing a perceivable move towards use of real-time technologies. Knowledge management is the other area where learning initiatives will find scope for integration, building learning components into the work flow to integrate performance support. With the Indian technology-led education industry now perched on the point of all-out growth, it is up to those in the business of technology to take it over the tipping point.

This special issue of Digital Learning has tried to capture the view points of the industry leaders, in seeking the answers on how do they subscribe to this scenario. With the providers of e-Learning witnessing phenomenal expansion of this industry and their business, let’s leave this thread with the hope that the e-Learning market and the opportunities are going to get better in the time to come!

There was no denying the excitement among the delegates to the 2006 Vision conference ‘Digital Learning India’ organised by us that handed the industry its ‘report card’ along with words of suggestions and future directions, and of course, promises of incentives. And the same excitement is evident this year as well, with the ‘Digital Learning India 2007’ approaching the D-Day. Our work as researchers, educators, service providers and policy makers is conducted in the wider context of our purpose and values. Lets join the platform this year again for the debate of the issues, which still guides us, towards recognising of ICTs and the capabilities to use them critically and appropriately have themselves had an impact in the field of education.

INDIA

HRD Ministry launches online admission project

The Indian Human Resource Development (HRD) Ministry has launched online Admission 2007 Project (Ni-On) of National Institute of Open Learning for Indian students.

The National Institute of Open Schooling (NIOS) has initiated online admissions under its NIOS Online (Ni-On) project from this year onwards. This unique facility will facilitate the learners in directly accessing NIOS. Under Ni-On Project, NIOS has tailor-made ‘3’ Streams of online admissions for meeting the requirements of different groups of its potential learners. In Stream 1, all the learners can access NIOS directly Online through its website (www.nos.org) for the purpose of seeking admission. Stream-2 has been designed to save one-year of all those who have been unsuccessful in CBSE/ ICSE/Other recognized State Education Boards. These learners can seek online admissions in the Stream ‘2’ and also appear in the Public Examinations of October-November 2007, whose results will be declared by December 2007 itself. Stream-3 of online admissions also caters to the learners covered by Stream ‘2’ but allows them an additional advantage of appearing in On Demand Examination (ODE) at Secondary-level only based on his or her state of academic preparation. Last two Streams have been designed to provide “Safety Net” to all such unsuccessful learners of the formal school system.


Tele-conferencing training for teachers in Goa

The Goa Board of Secondary and Higher Secondary Education (GBSHSE) has initiated the first tele-conferencing training programmes for school teachers in collaboration with the (National Council of Education Research and Training) NCERT.

The tele-conferencing programme will be worked out for the GBSHSE in co-ordination between the Goa University which has the equipment and the Educational Satellite System of the NCERT, New Delhi. This facility will provide an opportunity for teachers in Goa to interact with resource persons from the NCERT. The facility is proposed to cater to teachers of Std II, IV, VII, X and XII covering all subjects. The State is one of the many others, identified for the programme from July 9 to August 21, 2007.

Curriki’s India connection

Conceived as an online repository of tools and aids that will make learning possible for any one, anywhere in the world, Curriki (www.curriki.org) has been up and running for a few months now.

Hundreds of volunteers, teachers, students and subject experts have donated their time and talent to enrich the portal and quickly transform it into a formidable educational resource. Admittedly, the initial offerings are skewed somewhat towards the U.S. K-12 (Kindergarten to Standard XII) system, but users in other places including India are learning about the site and localising it.

When The Global Education and Learning Community, the body that became Curriki, first took on the task, it associated two specialist agencies to help realise its dream: XWiki, authors of the software platform to help create the Wiki structure, and the Chennai-based Congruent Solutions, a respected name in e-Learning solutions to help with the engineering aspects, quality assurance and content conversion. This is a portal where hundreds of lay users and teachers will be uploading material.

Indian Bank launches e-Learning initiative

The Indian bank has launched an e-Learning initiative for its employees in association with US based e-Learning solution provider, KESDEE.

Indian Bank is hosting KESDEE’s 41 user friendly course libraries, which covers Risk Management, Asset and Liabilities management, anti-money launderies and an exclusive “Branch Management” module. The programme aims to enhance the capabilities of the employees of the bank on a continuous basis. The programme would help the employees to gain expertise in their area of operation as well as other areas of interest, resulting in better and more efficient customer service.

eCollege of India

Renaissance Learning Systems (India) has announced the launch of its sister concern, a B2C eLearning portal eCollege of India. ‘eCollege of India’ is a venture by a team of young educationists and international consortium of content providers.

The objective of ‘eCollege of India’ is to deliver very cost ef fective web-based e-Learning solution along with blended learning support through a SME network. At the current offering of 150 interactive courses for a subscription fee of INR 500 only. ‘eCollege of India’ hopes to soon introduce online degree and diploma courses for Indian students and is currently in talks with a few UK and US based universities. Also on the anvil are in-house certificate programmes.

The firm is also working on a video based communication platform for enhanced learning experience.

UNESCO

The International Federation of Library Associations and Institutions (IFLA) awarded a medal to Abdelaziz Abid from the Information Society Division of UNESCO, on the occasion of his retirement for his distinguished service to the international community and especially for his role in promoting the development of library services in developing countries and UNESCO's Memory of the World Programme.

The medal was delivered on his behalf to Ms Samia Gamarti, Director of the National Library of Tunisia, at the closing session of the World Library and Information Congress: 73rd IFLA General Conference and Council in Durban, South Africa on 23rd August 2007. The World Library and Information Congress: 73rd IFLA General Conference and Council is being held in Durban, South Africa, between 19 and 23 August 2007 and focuses this year on the following themes: “Libraries for the future: Progress, Development and Partnerships”. UNESCO's Assistant Director-General for Communication and Information, Mr Abdul Waheed Khan, attended this important event and highlighted UNESCO's role in building knowledge societies and the particular role of libraries as pillars of the emerging Information Society, during the UNESCO Open Forum held on 20th, August 2007. Mr Khan also provided an overview of UNESCO's work in the area of information literacy for the IFLA section on Information Literacy. UNESCO has always supported library development worldwide and cooperated with IFLA in this area. This cooperation has resulted in an impressive number of projects and the adoption of Library Manifestos that proved to be instrumental in promoting library development worldwide such as the Manifesto on Public Libraries and the Manifesto on School Libraries that have had particular impact in developing countries.

UNESCO Conference to fight illiteracy in East Asia, South East Asia and the Pacific

A sub-regional conference entitled “Literacy challenges in East Asia, South-East Asia and the Pacific: Building partnerships and promoting innovative approaches”, in support of literacy will take place in Beijing (China) on 31 July and 1 August, 2007, which would be organised by UNESCO. The focus of the conference would be to assess the literacy situation in East Asia, South-East Asia and the Pacific. Although the total number of people who can read and write in this part of the world is high, (91.7%), a considerable gender gap persists, with women making up 70% of the illiterate population. The situation also varies significantly from one country to another.

The conference will provide an opportunity to build renewed commitment and make concrete proposals to promote literacy at country level in East Asia, South-East Asia and the Pacific. Debate will take the form of round tables on literacy policies, strategies and programmes. Specific regional issues will also be addressed, such as literacy in a multilingual context and literacy and rural development. In addition, the conference will present effective practices and show how the challenge of illiteracy can be met in different contexts using a variety of approaches. A main objective of the conference is to build cooperation between stakeholders and to mobilize partners and resources to develop concrete initiatives in countries.

The conference is one of a series of six regional conferences in support of global literacy. Between now and the end of 2008, four others will be held in the same vein. They will extend the work of the White House Conference on Global Literacy organized in New York on 18 September 2006, hosted by Laura Bush, First Lady of the United States and Honorary Ambassador for the United Nations Literacy Decade (2003-2012) and UNESCO's Literacy Initiative for Empowerment (LIFE).

International Socrates Award for JNU Vice-Chancellor

Shri BB Bhattacharya, the Vice Chancellor of Jawaharlal Nehru University (New Delhi, India) will be honoured the prestigious International Socrates Award for his contribution in the field of Economics.

Eminent people from all over the world will be awarded at the Oxford Summit for Leaders to be held at the Oxford Town Hall in the United Kingdom to be held on September 24, 2007. Leaders in the field of Business, Science and Culture will also be awarded at the event.

Sri Lanka may attain the MDGs

    The Sri Lankan Prime Minister Ratnasiri Wickramanayake officially launched the online version of MDGInfo Sri Lanka, a customized version of the DevInfo v5.0 database system, on 11 June 2007. The MDGInfo Sri Lanka database, developed by the Department of Census and Statistics, can be viewed on the www.statistics.gov.lk website. It contains information on the Millennium Development Goal (MDG) indicators.

    The online database stores, retrieves and presents trends and patterns in the form of tables, graphs and maps for tracking progress in achieving the MDGs. Sri Lanka, in spite of facing many challenges including the unresolved civil conflict, has made significant progress towards achieving many of the MDGs. However, much still remains to be done. Poverty significantly declined in Sri Lanka since independence from the 1950s to the 1970s. From the mid 1980s until the 1990s, it continued to decline but at a slower rate. But from 1990 to 2002 inequality widened, with the income of the poorest increasing by about 36 per cent and that of the richest increasing by about 49 per cent. Sri Lanka is one of the best performing countries in the South Asian region as far as primary school indicators are concerned and is on track towards achieving universal primary education. Between 2000 and 2001, the net enrolment ratio in primary education was about 97 per cent, which is much higher than the South Asian regional average and the literacy rate of 15 – 24 year olds also increased. In 2002, around 98 per cent of the children enrolled in primary school reached Grade 5 and in 2003, the net enrolment ratio in primary education was over 98 per cent.

    NICT NGO bagged bid for Computer Education in 8 district of Haryana, India

    NICT in NGO which was working in area of ICT for development after their successful implementation of project-SHARADA in 500 Municipal Corporation, has now been allotted 8 district in Haryana state for providing computer Education in Government Schools.

    The NGO, which is known for the implementation of projects in 2006 bagged best IT project CSI-TCS National award, for the purpose of conducting computer education in Govt. Schools spread in various districts of Haryana, which will be employing around 700 computer teachers providing job opportunity for rural graduates with ICT qualification in their local area limiting the migration of rural youth to urban areas.

    The State of the World’s Children 2007

    The State of the World's Children 2007 examines the discrimination and disempowerment, which women face throughout their lives and it outlines what must be done in order to eliminate gender discrimination and empower women and girls.

    The State of the World's Children 2007 examines the current status of women and analyses the discrimination and disempowerment that many women face throughout their lives. The report discusses how gender equality will move all of the Millennium Development Goals forward, and how investment in women's rights

    LATEST NEWS