Slideshows for Tag: cga http://www.slideshare.net/ http://www.slideshare.net/images/logo.gif Slideshows for Tag: cga http://www.slideshare.net/ Sun, 18 Oct 2009 09:16:55 GMT SlideShare feed for Slideshows for Tag: cga 2009 African Rural and Agricultural Credit Association Conference on Microfinance in Africa, Bukina Faso http://www.slideshare.net/andrewwilliamsjr/200907-amc-iv-coetzee-keynote
AFRACA 4TH ANNUAL (2009) CONFERENCE ON MICROFINANCE IN AFRICA, BURKINA FASO, The African Rural and Agricultural Credit Association is the Association of Central Banks, Commercial Banks, and Agricultural Banks, Micro-finance Institutions and National Programmes dealing with agricultural and rural finance in Africa. The Vision of the Association is a rural Africa where people have access to sustainable financial services for economic development.]]>
AFRACA 4TH ANNUAL (2009) CONFERENCE ON MICROFINANCE IN AFRICA, BURKINA FASO, The African Rural and Agricultural Credit Association is the Association of Central Banks, Commercial Banks, and Agricultural Banks, Micro-finance Institutions and National Programmes dealing with agricultural and rural finance in Africa. The Vision of the Association is a rural Africa where people have access to sustainable financial services for economic development.]]> Sun, 18 Oct 2009 09:16:55 GMT http://www.slideshare.net/andrewwilliamsjr/200907-amc-iv-coetzee-keynote andrewwilliamsjr@slideshare.net(andrewwilliamsjr) 2009 African Rural and Agricultural Credit Association Conference on Microfinance in Africa, Bukina Faso andrewwilliamsjr AFRACA 4TH ANNUAL (2009) CONFERENCE ON MICROFINANCE IN AFRICA, BURKINA FASO, The African Rural and Agricultural Credit Association is the Association of Central Banks, Commercial Banks, and Agricultural Banks, Micro-finance Institutions and National Programmes dealing with agricultural and rural finance in Africa. The Vision of the Association is a rural Africa where people have access to sustainable financial services for economic development. <img src="http://cdn.slidesharecdn.com/200907amcivcoetzeekeynote-091018041659-phpapp01-thumbnail-2?1255857542" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> AFRACA 4TH ANNUAL (2009) CONFERENCE ON MICROFINANCE IN AFRICA, BURKINA FASO, The African Rural and Agricultural Credit Association is the Association of Central Banks, Commercial Banks, and Agricultural Banks, Micro-finance Institutions and National Programmes dealing with agricultural and rural finance in Africa. The Vision of the Association is a rural Africa where people have access to sustainable financial services for economic development. 2009 African Rural and Agricultural Credit Association Conference on Microfinance in Africa, Bukina Faso
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]]> 150 0 http://cdn.slidesharecdn.com/200907amcivcoetzeekeynote-091018041659-phpapp01-thumbnail-2?1255857542 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Social Media for Certified General Accountants http://www.slideshare.net/scrawforditm/social-media-for-certified-general-accountants
Social Media is not only for marketing and sales people. CGA’s and other accountants can leverage social media to share knowledge, pass along tips, create communities and become the expert on helping business owners with accounting advice.]]>
Social Media is not only for marketing and sales people. CGA’s and other accountants can leverage social media to share knowledge, pass along tips, create communities and become the expert on helping business owners with accounting advice.]]> Wed, 16 Sep 2009 20:38:21 GMT http://www.slideshare.net/scrawforditm/social-media-for-certified-general-accountants scrawforditm@slideshare.net(scrawforditm) Social Media for Certified General Accountants scrawforditm Social Media is not only for marketing and sales people. CGA&rsquo;s and other accountants can leverage social media to share knowledge, pass along tips, create communities and become the expert on helping business owners with accounting advice. <img src="http://cdn.slidesharecdn.com/cgasocialmediapresentationverion4-090916153829-phpapp02-thumbnail-2?1253133585" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Social Media is not only for marketing and sales people. CGA&rsquo;s and other accountants can leverage social media to share knowledge, pass along tips, create communities and become the expert on helping business owners with accounting advice. Social Media for Certified General Accountants
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]]> 152 0 http://cdn.slidesharecdn.com/cgasocialmediapresentationverion4-090916153829-phpapp02-thumbnail-2?1253133585 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Consumer Generated Advertising http://www.slideshare.net/pgillin/consumer-generated-advertising-1872683
"Crowdsourcing" is an appealing new option for marketers who want to spread their advertising messages through low-cost peer-to-peer channels. Enthusiasts can be recruited to become brand advocates for products that they love, spreading the word through their social networks, Facebook friendships and Twitter streams. Contests are an increasingly popular means of leveraging customer creativity to build grassroots campaigns. This presentation from a PRSA webinar features examples of successful customer-generated advertising promotions in both business-to-consumer and business-to-business contexts. Attendees learned: Appropriate scenarios for applying crowdsourced promotion How to generate ideas that spur customer creativity Low-cost incentives to build participation Basics of measuring results]]>
"Crowdsourcing" is an appealing new option for marketers who want to spread their advertising messages through low-cost peer-to-peer channels. Enthusiasts can be recruited to become brand advocates for products that they love, spreading the word through their social networks, Facebook friendships and Twitter streams. Contests are an increasingly popular means of leveraging customer creativity to build grassroots campaigns. This presentation from a PRSA webinar features examples of successful customer-generated advertising promotions in both business-to-consumer and business-to-business contexts. Attendees learned: Appropriate scenarios for applying crowdsourced promotion How to generate ideas that spur customer creativity Low-cost incentives to build participation Basics of measuring results]]> Mon, 17 Aug 2009 17:32:30 GMT http://www.slideshare.net/pgillin/consumer-generated-advertising-1872683 pgillin@slideshare.net(pgillin) Consumer Generated Advertising pgillin &quot;Crowdsourcing&quot; is an appealing new option for marketers who want to spread their advertising messages through low-cost peer-to-peer channels. Enthusiasts can be recruited to become brand advocates for products that they love, spreading the word through their social networks, Facebook friendships and Twitter streams. Contests are an increasingly popular means of leveraging customer creativity to build grassroots campaigns. This presentation from a PRSA webinar features examples of successful customer-generated advertising promotions in both business-to-consumer and business-to-business contexts. Attendees learned: Appropriate scenarios for applying crowdsourced promotion How to generate ideas that spur customer creativity Low-cost incentives to build participation Basics of measuring results <img src="http://cdn.slidesharecdn.com/gillincgaprint-090817123242-phpapp02-thumbnail-2?1250530441" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> &quot;Crowdsourcing&quot; is an appealing new option for marketers who want to spread their advertising messages through low-cost peer-to-peer channels. Enthusiasts can be recruited to become brand advocates for products that they love, spreading the word through their social networks, Facebook friendships and Twitter streams. Contests are an increasingly popular means of leveraging customer creativity to build grassroots campaigns. This presentation from a PRSA webinar features examples of successful customer-generated advertising promotions in both business-to-consumer and business-to-business contexts. Attendees learned: Appropriate scenarios for applying crowdsourced promotion How to generate ideas that spur customer creativity Low-cost incentives to build participation Basics of measuring results Consumer Generated Advertising
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]]> 713 0 http://cdn.slidesharecdn.com/gillincgaprint-090817123242-phpapp02-thumbnail-2?1250530441 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Social Games on Facebook: Worth it? http://www.slideshare.net/saldb/social-games-on-facebook-worth-it-presentation
Part of a discussion panel I moderated in July, 2008.]]>
Part of a discussion panel I moderated in July, 2008.]]> Mon, 15 Dec 2008 15:59:02 GMT http://www.slideshare.net/saldb/social-games-on-facebook-worth-it-presentation saldb@slideshare.net(saldb) Social Games on Facebook: Worth it? saldb Part of a discussion panel I moderated in July, 2008. <img src="http://cdn.slidesharecdn.com/facebookpanel2-1229364844633875-2-thumbnail-2?1229357810" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Part of a discussion panel I moderated in July, 2008. Social Games on Facebook: Worth it?
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]]> 2269 1 http://cdn.slidesharecdn.com/facebookpanel2-1229364844633875-2-thumbnail-2?1229357810 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Casual Connect: Making Money the Pain Free Way http://www.slideshare.net/mochimedia/casual-connect-making-money-the-pain-free-way
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]]> Mon, 04 Aug 2008 15:01:27 GMT http://www.slideshare.net/mochimedia/casual-connect-making-money-the-pain-free-way mochimedia@slideshare.net(mochimedia) Casual Connect: Making Money the Pain Free Way mochimedia <img src="http://cdn.slidesharecdn.com/20080723cgaadachenfinal-1217869771048769-9-thumbnail-2?1217932144" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Casual Connect: Making Money the Pain Free Way
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]]> 3986 0 http://cdn.slidesharecdn.com/20080723cgaadachenfinal-1217869771048769-9-thumbnail-2?1217932144 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Adminstracion Del Riesgo Cga http://www.slideshare.net/fdidocar/adminstracion-del-riesgo-cga
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]]> Mon, 25 Feb 2008 21:48:19 GMT http://www.slideshare.net/fdidocar/adminstracion-del-riesgo-cga fdidocar@slideshare.net(fdidocar) Adminstracion Del Riesgo Cga fdidocar <img src="http://cdn.slidesharecdn.com/adminstracion-del-riesgo-cga-1203983298837173-2-thumbnail-2?1203976099" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Adminstracion Del Riesgo Cga
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]]> 2221 0 http://cdn.slidesharecdn.com/adminstracion-del-riesgo-cga-1203983298837173-2-thumbnail-2?1203976099 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Manual Italc http://www.slideshare.net/coordinadoresTIC/manual-italc
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]]> Sun, 11 Nov 2007 16:41:34 GMT http://www.slideshare.net/coordinadoresTIC/manual-italc coordinadoresTIC@slideshare.net(coordinadoresTIC) Manual Italc coordinadoresTIC <img src="http://cdn.slidesharecdn.com/manual-italc-1194806484853967-3-thumbnail-2?1194799294" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Manual Italc
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]]> 4038 1 http://cdn.slidesharecdn.com/manual-italc-1194806484853967-3-thumbnail-2?1194799294 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted O software libre para a xestión da rede educativa máis grande do mundo http://www.slideshare.net/ousli07/o-software-libre-para-a-xestin-da-rede-educativa-mis-grande-do-mundo
El software libre para la gestión de la red educativa más grande del mundo]]>
El software libre para la gestión de la red educativa más grande del mundo]]> Tue, 30 Oct 2007 21:40:54 GMT http://www.slideshare.net/ousli07/o-software-libre-para-a-xestin-da-rede-educativa-mis-grande-do-mundo ousli07@slideshare.net(ousli07) O software libre para a xestión da rede educativa máis grande do mundo ousli07 El software libre para la gestión de la red educativa más grande del mundo <img src="http://cdn.slidesharecdn.com/o-software-libre-para-a-xestin-da-rede-educativa-mis-grande-do-mundo-1193791254439645-3-thumbnail-2?1193780454" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> El software libre para la gestión de la red educativa más grande del mundo O software libre para a xestión da rede educativa máis grande do mundo
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]]> 849 0 http://cdn.slidesharecdn.com/o-software-libre-para-a-xestin-da-rede-educativa-mis-grande-do-mundo-1193791254439645-3-thumbnail-2?1193780454 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Towards billion bit optimization via parallel estimation of distribution algorithm http://www.slideshare.net/kknsastry/towards-billion-bit-optimization-via-parallel-estimation-of-distribution-algorithm
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm to solve very large scale problems with millions to billions of variables. The paper presents principled results demonstrating the scalable solution of a difficult test function on instances over a billion variables using a parallel implementation of compact genetic algorithm (cGA). The problem addressed is a noisy, blind problem over a vector of binary decision variables. Noise is added equaling up to a tenth of the deterministic objective function variance of the problem, thereby making it difficult for simple hillclimbers to find the optimal solution. The compact GA, on the other hand, is able to find the optimum in the presence of noise quickly, reliably, and accurately, and the solution scalability follows known convergence theories. These results on noisy problem together with other results on problems involving varying modularity, hierarchy, and overlap foreshadow routine solution of billion-variable problems across the landscape of search problems.]]>
This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm to solve very large scale problems with millions to billions of variables. The paper presents principled results demonstrating the scalable solution of a difficult test function on instances over a billion variables using a parallel implementation of compact genetic algorithm (cGA). The problem addressed is a noisy, blind problem over a vector of binary decision variables. Noise is added equaling up to a tenth of the deterministic objective function variance of the problem, thereby making it difficult for simple hillclimbers to find the optimal solution. The compact GA, on the other hand, is able to find the optimum in the presence of noise quickly, reliably, and accurately, and the solution scalability follows known convergence theories. These results on noisy problem together with other results on problems involving varying modularity, hierarchy, and overlap foreshadow routine solution of billion-variable problems across the landscape of search problems.]]> Sat, 14 Jul 2007 12:49:14 GMT http://www.slideshare.net/kknsastry/towards-billion-bit-optimization-via-parallel-estimation-of-distribution-algorithm kknsastry@slideshare.net(kknsastry) Towards billion bit optimization via parallel estimation of distribution algorithm kknsastry This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm to solve very large scale problems with millions to billions of variables. The paper presents principled results demonstrating the scalable solution of a difficult test function on instances over a billion variables using a parallel implementation of compact genetic algorithm (cGA). The problem addressed is a noisy, blind problem over a vector of binary decision variables. Noise is added equaling up to a tenth of the deterministic objective function variance of the problem, thereby making it difficult for simple hillclimbers to find the optimal solution. The compact GA, on the other hand, is able to find the optimum in the presence of noise quickly, reliably, and accurately, and the solution scalability follows known convergence theories. These results on noisy problem together with other results on problems involving varying modularity, hierarchy, and overlap foreshadow routine solution of billion-variable problems across the landscape of search problems. <img src="http://cdn.slidesharecdn.com/towards-billion-bit-optimization-via-parallel-estimation-of-distribution-algorithm1292-thumbnail-2?1184417354" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm to solve very large scale problems with millions to billions of variables. The paper presents principled results demonstrating the scalable solution of a difficult test function on instances over a billion variables using a parallel implementation of compact genetic algorithm (cGA). The problem addressed is a noisy, blind problem over a vector of binary decision variables. Noise is added equaling up to a tenth of the deterministic objective function variance of the problem, thereby making it difficult for simple hillclimbers to find the optimal solution. The compact GA, on the other hand, is able to find the optimum in the presence of noise quickly, reliably, and accurately, and the solution scalability follows known convergence theories. These results on noisy problem together with other results on problems involving varying modularity, hierarchy, and overlap foreshadow routine solution of billion-variable problems across the landscape of search problems. Towards billion bit optimization via parallel estimation of distribution algorithm
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]]> 1858 0 http://cdn.slidesharecdn.com/towards-billion-bit-optimization-via-parallel-estimation-of-distribution-algorithm1292-thumbnail-2?1184417354 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted Combating User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic Fitness http://www.slideshare.net/kknsastry/combating-user-fatigue-in-igas-partial-ordering-support-vector-machines-and-synthetic-fitness
One of the daunting challenges of interactive genetic algorithms (iGAs)—genetic algorithms in which fitness measure of a solution is provided by a human rather than by a fitness function, model, or computation—is user fatigue which leads to sub-optimal solutions. This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. The proposed method combines partial ordering concepts, notion of non-domination from multiobjective optimization, and support vector machines to synthesize a fitness model based on user evaluation. The proposed method is used in an iGA on a simple test problem and the results demonstrate that the method actively combats user fatigue by requiring 3—7 times less user evaluation when compared to a simple iGA.]]>
One of the daunting challenges of interactive genetic algorithms (iGAs)—genetic algorithms in which fitness measure of a solution is provided by a human rather than by a fitness function, model, or computation—is user fatigue which leads to sub-optimal solutions. This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. The proposed method combines partial ordering concepts, notion of non-domination from multiobjective optimization, and support vector machines to synthesize a fitness model based on user evaluation. The proposed method is used in an iGA on a simple test problem and the results demonstrate that the method actively combats user fatigue by requiring 3—7 times less user evaluation when compared to a simple iGA.]]> Sat, 17 Feb 2007 21:57:55 GMT http://www.slideshare.net/kknsastry/combating-user-fatigue-in-igas-partial-ordering-support-vector-machines-and-synthetic-fitness kknsastry@slideshare.net(kknsastry) Combating User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic Fitness kknsastry One of the daunting challenges of interactive genetic algorithms (iGAs)—genetic algorithms in which fitness measure of a solution is provided by a human rather than by a fitness function, model, or computation—is user fatigue which leads to sub-optimal solutions. This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. The proposed method combines partial ordering concepts, notion of non-domination from multiobjective optimization, and support vector machines to synthesize a fitness model based on user evaluation. The proposed method is used in an iGA on a simple test problem and the results demonstrate that the method actively combats user fatigue by requiring 3—7 times less user evaluation when compared to a simple iGA. <img src="http://cdn.slidesharecdn.com/combating-user-fatigue-in-igas-partial-ordering-support-vector-machines-and-synthetic-fitness-18018-thumbnail-2?1231919455" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> One of the daunting challenges of interactive genetic algorithms (iGAs)—genetic algorithms in which fitness measure of a solution is provided by a human rather than by a fitness function, model, or computation—is user fatigue which leads to sub-optimal solutions. This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. The proposed method combines partial ordering concepts, notion of non-domination from multiobjective optimization, and support vector machines to synthesize a fitness model based on user evaluation. The proposed method is used in an iGA on a simple test problem and the results demonstrate that the method actively combats user fatigue by requiring 3—7 times less user evaluation when compared to a simple iGA. Combating User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic Fitness
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]]> 1372 0 http://cdn.slidesharecdn.com/combating-user-fatigue-in-igas-partial-ordering-support-vector-machines-and-synthetic-fitness-18018-thumbnail-2?1231919455 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted The Compact Classifier System: Motivation, Analysis and First Results http://www.slideshare.net/kknsastry/the-compact-classifier-system-motivation-analysis-and-first-results
This paper presents an analysis of how maximally general and accurate rules can be evolved in a Pittsburgh-style classifier system. In order to be able to perform such an analysis we introduce a simple bare-bones Pittsburgh-style classifier systems&#8212;the compact classifier system (CCS)&#8212;based on estimation of distribution algorithms. Using a common rule encoding schemes of Pittsburgh-style classifier systems, CCS mantains a dynamic set of probability vectors that compactly describe a rule set. The compact genetic algorithm is used to evolve each of the initially perturbated probability vectors. Results show how CCS is able to evolve in a compact, simple, and elegant manner rule sets composed by maximally general and accurate rules. The initial theoretical analysis and results also show that traditional encoding schemes used by Pittsburgh-style classifiers add an extra facet of diffiiculty. Such a bias plays a central role on the overall performance and scalability of CCS and other Pittsburgh-style systems using such encoding schemes.]]>
This paper presents an analysis of how maximally general and accurate rules can be evolved in a Pittsburgh-style classifier system. In order to be able to perform such an analysis we introduce a simple bare-bones Pittsburgh-style classifier systems&#8212;the compact classifier system (CCS)&#8212;based on estimation of distribution algorithms. Using a common rule encoding schemes of Pittsburgh-style classifier systems, CCS mantains a dynamic set of probability vectors that compactly describe a rule set. The compact genetic algorithm is used to evolve each of the initially perturbated probability vectors. Results show how CCS is able to evolve in a compact, simple, and elegant manner rule sets composed by maximally general and accurate rules. The initial theoretical analysis and results also show that traditional encoding schemes used by Pittsburgh-style classifiers add an extra facet of diffiiculty. Such a bias plays a central role on the overall performance and scalability of CCS and other Pittsburgh-style systems using such encoding schemes.]]> Fri, 16 Feb 2007 22:47:32 GMT http://www.slideshare.net/kknsastry/the-compact-classifier-system-motivation-analysis-and-first-results kknsastry@slideshare.net(kknsastry) The Compact Classifier System: Motivation, Analysis and First Results kknsastry This paper presents an analysis of how maximally general and accurate rules can be evolved in a Pittsburgh-style classifier system. In order to be able to perform such an analysis we introduce a simple bare-bones Pittsburgh-style classifier systems&amp;#8212;the compact classifier system (CCS)&amp;#8212;based on estimation of distribution algorithms. Using a common rule encoding schemes of Pittsburgh-style classifier systems, CCS mantains a dynamic set of probability vectors that compactly describe a rule set. The compact genetic algorithm is used to evolve each of the initially perturbated probability vectors. Results show how CCS is able to evolve in a compact, simple, and elegant manner rule sets composed by maximally general and accurate rules. The initial theoretical analysis and results also show that traditional encoding schemes used by Pittsburgh-style classifiers add an extra facet of diffiiculty. Such a bias plays a central role on the overall performance and scalability of CCS and other Pittsburgh-style systems using such encoding schemes. <img src="http://cdn.slidesharecdn.com/the-compact-classifier-system-motivation-analysis-and-first-results-27443-thumbnail-2?1231919448" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> This paper presents an analysis of how maximally general and accurate rules can be evolved in a Pittsburgh-style classifier system. In order to be able to perform such an analysis we introduce a simple bare-bones Pittsburgh-style classifier systems&amp;#8212;the compact classifier system (CCS)&amp;#8212;based on estimation of distribution algorithms. Using a common rule encoding schemes of Pittsburgh-style classifier systems, CCS mantains a dynamic set of probability vectors that compactly describe a rule set. The compact genetic algorithm is used to evolve each of the initially perturbated probability vectors. Results show how CCS is able to evolve in a compact, simple, and elegant manner rule sets composed by maximally general and accurate rules. The initial theoretical analysis and results also show that traditional encoding schemes used by Pittsburgh-style classifiers add an extra facet of diffiiculty. Such a bias plays a central role on the overall performance and scalability of CCS and other Pittsburgh-style systems using such encoding schemes. The Compact Classifier System: Motivation, Analysis and First Results
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]]> 1303 0 http://cdn.slidesharecdn.com/the-compact-classifier-system-motivation-analysis-and-first-results-27443-thumbnail-2?1231919448 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted The Future of E-Learning http://www.slideshare.net/Downes/the-future-of-elearning
Stephen Downes presentation to the CGA Canada National Educators Meeting Toronto, Ontario, October 21, 2006 ]]>
Stephen Downes presentation to the CGA Canada National Educators Meeting Toronto, Ontario, October 21, 2006 ]]> Sat, 04 Nov 2006 10:40:04 GMT http://www.slideshare.net/Downes/the-future-of-elearning Downes@slideshare.net(Downes) The Future of E-Learning Downes Stephen Downes presentation to the CGA Canada National Educators Meeting Toronto, Ontario, October 21, 2006 <img src="http://cdn.slidesharecdn.com/the-future-of-elearning-7416-thumbnail-2?1162636804" alt ="" style="border:1px solid #C3E6D8;float:right;" /><br> Stephen Downes presentation to the CGA Canada National Educators Meeting Toronto, Ontario, October 21, 2006 The Future of E-Learning
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]]> 2856 1 http://cdn.slidesharecdn.com/the-future-of-elearning-7416-thumbnail-2?1162636804 presentation http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted
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