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Press Release: Ethiopian Ministry of Science and Higher Education Partners With Intellimedia Networks to Continue to Digitally Transform the Ethiopian Higher Education and Vocational Training Sector

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Press Release: Ethiopian Ministry of Science and Higher Education Partners With Intellimedia Networks to Continue to Digitally Transform the Ethiopian Higher Education and Vocational Training Sector

Posted | Updated by Insights team:

Publication | Update:

Dec 2020
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The Ethiopian Ministry of Science and Higher Education (MoSHE) agrees to join forces with IntelliMedia Networks Inc. and its local partners Andalem Consulting PLC and United Systems Integrators, to enable a country-wide online learning platform to streamline access to higher learning across Ethiopia and improve quality of education and training for undergraduate and graduate students.

This historic public-private partnership will implement IntelliMedia Networks’ Apollo Learning and Training Management System (LTMS) that utilizes engaging virtual reality (VR) and augmented reality (AR) content with a multi-phase five-year strategy ranging from a short term COVID-19 response to a full digitization of the Ethiopian higher education and training sector. The project which is valued at multi-million dollars will build higher education institutions’ capacity for delivery of Ethiopian-authored content to anyone with a smartphone, including live and on-demand classroom courses, access to additional learning material, centralized secure online testing, artificial intelligence (A.I.) backed personalized learning and data-driven sector performance metrics.

The project is a direct outcome of Ethiopian prime minister and Nobel peace prize winner Dr. Abiy Ahmed’s digital transformation agenda, for Ethiopia’s inclusive and sustainable development. It will bridge the gap between higher education and the local economy through effective integration with industrial actors through project-based learning, precision internships and job placement. It also aims to become the driving force for technology entrepreneurship and the development of a vibrant national startup ecosystem.

“This partnership is yet another important milestone in our effort to digitize the Ethiopian higher education and vocational training sector, as an integrated part of the overall digital Ethiopia strategy set forth by the government,” said MoSHE State Minister Professor Afework Kassu Gizaw. “We are excited to bring this capability to Ethiopia’s student body as it will help us further achieve a fundamental shift by enabling higher education institutions to provide high quality, immersive and personalized education coupled with data-driven metrics helping us reach our goal of improving our teaching institutions.”

“As a member of the Ethiopian diaspora since 1978, I am especially honored to contribute to Ethiopia’s digital transformation by providing educational platforms ideal for its unique needs. With IntelliMedia Networks’ consultative and collaborative approach in overcoming local challenges and its commitment to a fully transparent knowledge-transfer, this project will play a significant role in creating opportunities for the Ethiopian knowledge workforce and in fostering entrepreneurship. We will work as a strong and determined partner to support the advancement of education in Ethiopia,” said Teodros Gessesse, CEO and co-founder of IntelliMedia Networks, Inc.

“There is a convergence of themes playing out in emerging markets that’s accelerating educational institutes’ engagement with online learning and training systems. IntelliMedia Networks is thrilled with this partnership, which will provide the necessary flexibility for MoSHE and Ethiopian institutions to deliver content using our immersive learning technologies,” said IntelliMedia Networks’ president and co-founder Darshan Sedani.

The collaboration between MoSHE, IntelliMedia Networks and local Ethiopian partners Andalem Consulting PLC and United Systems Integrators (USI) is prepared to affect a rolling deployment that is geared to enable Ethiopians to locally create educational content, manage and expand the Apollo LTMS platform based on local infrastructure and mobile data network conditions.

“This private public partnership is an ideal platform that will enable us to effectively mobilize the necessary resources to execute on our joint mission to digitize higher education and better integrate it with the country’s and the global digital economy,” says Michael Tesfaye Hiruy Managing partner of Andalem Consulting PLC.

“This is a true collaboration of government, the Ethiopian diaspora and local Ethiopian businesses in a project that empowers Ethiopians to create sustainable growth,” said Michael Shebelle managing director of USI Ethiopia.

The Ministry of Science and Higher Education (MoSHE) of the Federal Democratic Republic of Ethiopia is established by proclamation number 1097/, in October 2018, and is responsible to lead the development of science, higher education as well as the technical and vocational education and training (TVET) in Ethiopia.

IntelliMedia Networks Inc. is a U.S.A. and India based company specializing in developing and deploying immersive media platforms that distribute content through the cloud and onto multiple screens. Utilizing extensive experience IntelliMedia Networks has global customers in a variety of markets. IntelliMedia Networks is a winner of two Product of the Year awards at the 2019 National Association of Broadcasters show for products recognized as trail blazers in the video industry.

Andalem Consulting plc is an Ethiopia based firm dedicated to enabling technology and Data-Driven decision-making to advance Africa’s economic transformation and sustainable development. Andalem is dedicated to build Private-Public ecosystems that think globally and implement sustainable solutions. Focusing on various markets, Andalem is committed to foster international collaborations that build Africa’s technological capacity and accelerate its sustainable development.

United Systems Integrators is an Ethiopian company specializing in building and supporting IT infrastructure and software integration in the financial industry, focusing on banking application software and ERP implementations. USI is a best-practice proven system integrator in Africa with over 20 years of experience and excellent customer satisfaction track record headquartered in Addis Ababa with offices in Nairobi.

Photo courtesy of kcelsner.

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This study has assimilated knowledge and insight from business and subject-matter experts, and from a broad spectrum of market initiatives. Building on this research, the objectives of this market research report is to provide actionable intelligence on opportunities alongside the market size of various segments, as well as fact-based information on key factors influencing the market- growth drivers, industry-specific challenges and other critical issues in terms of detailed analysis and impact.

The report in its entirety provides a comprehensive overview of the current global condition, as well as notable opportunities and challenges. The analysis reflects market size, latest trends, growth drivers, threats, opportunities, as well as key market segments. The study addresses market dynamics in several geographic segments along with market analysis for the current market environment and future scenario over the forecast period. The report also segments the market into various categories based on the product, end user, application, type, and region.
The report also studies various growth drivers and restraints impacting the  market, plus a comprehensive market and vendor landscape in addition to a SWOT analysis of the key players.  This analysis also examines the competitive landscape within each market. Market factors are assessed by examining barriers to entry and market opportunities. Strategies adopted by key players including recent developments, new product launches, merger and acquisitions, and other insightful updates are provided.

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We leverage extensive primary research, our contact database, knowledge of companies and industry relationships, patent and academic journal searches, and Institutes and University associate links to frame a strong visibility in the markets and technologies we cover.

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M&A and Risk Management | Regulation

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Forecast methodology

The future outlook “forecast” is based on a set of statistical methods such as regression analysis, industry specific drivers as well as analyst evaluations, as well as analysis of the trends that influence economic outcomes and business decision making.
The Global Economic Model is covering the political environment, the macroeconomic environment, market opportunities, policy towards free enterprise and competition, policy towards foreign investment, foreign trade and exchange controls, taxes, financing, the labour market and infrastructure. We aim update our market forecast to include the latest market developments and trends.

Forecasts, Data modelling and indicator normalisation

Review of independent forecasts for the main macroeconomic variables by the following organizations provide a holistic overview of the range of alternative opinions:

  • Cambridge Econometrics (CE)

  • The Centre for Economic and Business Research (CEBR)

  • Experian Economics (EE)

  • Oxford Economics (OE)

As a result, the reported forecasts derive from different forecasters and may not represent the view of any one forecaster over the whole of the forecast period. These projections provide an indication of what is, in our view most likely to happen, not what it will definitely happen.

Short- and medium-term forecasts are based on a “demand-side” forecasting framework, under the assumption that supply adjusts to meet demand either directly through changes in output or through the depletion of inventories.
Long-term projections rely on a supply-side framework, in which output is determined by the availability of labour and capital equipment and the growth in productivity.
Long-term growth prospects, are impacted by factors including the workforce capabilities, the openness of the economy to trade, the legal framework, fiscal policy, the degree of government regulation.

Direct contribution to GDP
The method for calculating the direct contribution of an industry to GDP, is to measure its ‘gross value added’ (GVA); that is, to calculate the difference between the industry’s total pre­tax revenue and its total bought­in costs (costs excluding wages and salaries).

Forecasts of GDP growth: GDP = CN+IN+GS+NEX

GDP growth estimates take into account:

  • Consumption, expressed as a function of income, wealth, prices and interest rates;

  • Investment as a function of the return on capital and changes in capacity utilization; Government spending as a function of intervention initiatives and state of the economy;

  • Net exports as a function of global economic conditions.

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Market Quantification
All relevant markets are quantified utilizing revenue figures for the forecast period. The Compound Annual Growth Rate (CAGR) within each segment is used to measure growth and to extrapolate data when figures are not publicly available.

Revenues

Our market segments reflect major categories and subcategories of the global market, followed by an analysis of statistical data covering national spending and international trade relations and patterns. Market values reflect revenues paid by the final customer / end user to vendors and service providers either directly or through distribution channels, excluding VAT. Local currencies are converted to USD using the yearly average exchange rates of local currencies to the USD for the respective year as provided by the IMF World Economic Outlook Database.

Industry Life Cycle Market Phase

Market phase is determined using factors in the Industry Life Cycle model. The adapted market phase definitions are as follows:

  • Nascent: New market need not yet determined; growth begins increasing toward end of cycle

  • Growth: Growth trajectory picks up; high growth rates

  • Mature: Typically fewer firms than growth phase, as dominant solutions continue to capture the majority of market share and market consolidation occurs, displaying lower growth rates that are typically on par with the general economy

  • Decline: Further market consolidation, rapidly declining growth rates

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The Global Economic Model
The Global Economic Model brings together macroeconomic and sectoral forecasts for quantifying the key relationships.

The model is a hybrid statistical model that uses macroeconomic variables and inter-industry linkages to forecast sectoral output. The model is used to forecast not just output, but prices, wages, employment and investment. The principal variables driving the industry model are the components of final demand, which directly or indirectly determine the demand facing each industry. However, other macroeconomic assumptions — in particular exchange rates, as well as world commodity prices — also enter into the equation, as well as other industry specific factors that have been or are expected to impact.

  • Vector Auto Regression (VAR) statistical models capturing the linear interdependencies among multiple time series, are best used for short-term forecasting, whereby shocks to demand will generate economic cycles that can be influenced by fiscal and monetary policy.

  • Dynamic-Stochastic Equilibrium (DSE) models replicate the behaviour of the economy by analyzing the interaction of economic variables, whereby output is determined by supply side factors, such as investment, demographics, labour participation and productivity.

  • Dynamic Econometric Error Correction (DEEC) modelling combines VAR and DSE models by estimating the speed at which a dependent variable returns to its equilibrium after a shock, as well as assessing the impact of a company, industry, new technology, regulation, or market change. DEEC modelling is best suited for forecasting.

Forecasts of GDP growth per capita based on these factors can then be combined with demographic projections to give forecasts for overall GDP growth.
Wherever possible, publicly available data from official sources are used for the latest available year. Qualitative indicators are normalised (on the basis of: Normalised x = (x - Min(x)) / (Max(x) - Min(x)) where Min(x) and Max(x) are, the lowest and highest values for any given indicator respectively) and then aggregated across categories to enable an overall comparison. The normalised value is then transformed into a positive number on a scale of 0 to 100. The weighting assigned to each indicator can be changed to reflect different assumptions about their relative importance.

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The principal explanatory variable in each industry’s output equation is the Total Demand variable, encompassing exogenous macroeconomic assumptions, consumer spending and investment, and intermediate demand for goods and services by sectors of the economy for use as inputs in the production of their own goods and services.

Elasticities
Elasticity measures the response of one economic variable to a change in another economic variable, whether the good or service is demanded as an input into a final product or whether it is the final product, and provides insight into the proportional impact of different economic actions and policy decisions.
Demand elasticities measure the change in the quantity demanded of a particular good or service as a result of changes to other economic variables, such as its own price, the price of competing or complementary goods and services, income levels, taxes.
Demand elasticities can be influenced by several factors. Each of these factors, along with the specific characteristics of the product, will interact to determine its overall responsiveness of demand to changes in prices and incomes.
The individual characteristics of a good or service will have an impact, but there are also a number of general factors that will typically affect the sensitivity of demand, such as the availability of substitutes, whereby the elasticity is typically higher the greater the number of available substitutes, as consumers can easily switch between different products.
The degree of necessity. Luxury products and habit forming ones, typically have a higher elasticity.
Proportion of the budget consumed by the item. Products that consume a large portion of the consumer’s budget tend to have greater elasticity.
Elasticities tend to be greater over the long run because consumers have more time to adjust their behaviour.
Finally, if the product or service is an input into a final product then the price elasticity will depend on the price elasticity of the final product, its cost share in the production costs, and the availability of substitutes for that good or service.

Prices
Prices are also forecast using an input-output framework. Input costs have two components; labour costs are driven by wages, while intermediate costs are computed as an input-output weighted aggregate of input sectors’ prices. Employment is a function of output and real sectoral wages, that are forecast as a function of whole economy growth in wages. Investment is forecast as a function of output and aggregate level business investment.

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