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Announcements | United Nations Development Programme Skip to main content Kazakhstan Who we are What we do Our impact Get involved English Қазақша Русский Global Nav toggle Search Who we are What we do Our impact Get involved English Locations Back Select Language Қазақша Русский Page content Home Kazakhstan Announcements Announcements     Financial support programs for entrepreneurs start in Kazakhstan Learn more BOOST impact acceleration programme launches call to advance gender equality in Europe & Central Asia Learn more Job fair for persons with disabilities in Nur-Sultan Learn more Spotlight Digital Challenge “IT against Violence” for university students and young graduates Learn more ACSH and Zerde Holding invite government agencies and investors to DemoDay Learn more The winners of the children's drawing contest "Kar Barysyn Saktayyk" have been identified Learn more Video-contest "Time to change" Learn more ACSH and Holding “Zerde” are launching a project to find innovative solutions in the public service Learn more Drawing contest dedicated to the International Snow Leopard Day Learn more Innovation Challenge Learn more Ukraine and Kazakhstan join forces to fight climate change Learn more Girls in Tech: Central Asia Learn more IsDB-ISFD NGOs Empowerment for Poverty Reduction Program: Tadamon Crowdfunding Academy in Kazakhstan - Open call for the project proposal Learn more “Let’s save the snow leopard together’’ drawing competition, dedicated to the International Snow Leopard Day Learn more Film project contest on Sustainable Development Goals (SDGs) Learn more New UNDP platform BOOST will use social impact innovation to tackle Covid-19 challenges Learn more Spotlight Initiative for Central Asia and Afghanistan: Civil Society Regional Reference Group (CS-RRG) Learn more CALL FOR NOMINATIONS Learn more The national contest “Climate is changing. Are you?” Learn more Announcement for volunteer recruitment! Learn more United Nations Development Programme Who we are About us Our leadership Legal framework Funding and delivery Our partners What we do Our focus All projects Accelerator Lab Sustainable Development Goals Our impact News centre Speeches Stories Blogs Publications Get involved Announcements Jobs Procurement Contact us © 2022 United Nations Development Programme
Language:English
Score: 419254.15 - https://www.undp.org/kazakhstan/announcements
Data Source: un
Develop, pretest and revise lessons, learning activities and materials, and learning assessment instruments 10. (...) When learning interventions focus on what is most important, learning can improve. (...) Essential skills and knowledge 6. Learning objectives 7. Learning assessment methods 8.
Language:English
Score: 419248.9 - https://www.who.int/workforcea...nce/knowledge/toolkit/41_1.pdf
Data Source: un
Emerging data measuring actual learning levels of children in reopened school systems around the world corroborate the predictions of large learning losses.  (...) The first is profound sadness at the magnitude of the learning crisis. The learning poverty data highlights the shocking inequality that persists in learning outcomes, with 87% of children in Africa unable to read and understand a simple text. (...) Countries that do this have a real opportunity not only to recover learning lost due to COVID-19, but to make significant progress to reduce learning poverty by 2030.”
Language:English
Score: 419194.43 - https://www.unicef.org/rosa/pr...ble-read-and-understand-simple
Data Source: un
Emerging data measuring actual learning levels of children in reopened school systems around the world corroborate the predictions of large learning losses.  (...) The first is profound sadness at the magnitude of the learning crisis. The learning poverty data highlights the shocking inequality that persists in learning outcomes, with 87% of children in Africa unable to read and understand a simple text. (...) Countries that do this have a real opportunity not only to recover learning lost due to COVID-19, but to make significant progress to reduce learning poverty by 2030.”
Language:English
Score: 419194.43 - https://www.unicef.org/eca/pre...ead-and-understand-simple-text
Data Source: un
It is a self-paced learning path delivered entirely online. This custom learning path forms part of the new UNSSC’s Blueline learning platform. (...) Scenario-based learning exposing participants to unique real-life challenges and tasks of UN managers Consolidation of takeaways through reflective practices and social learning to facilitate information exchange and peer-to-peer learning UNSSC dedicated e-learning platform tracks completion of individual modules. (...) By completing the learning path, participants will have access to an exclusive alumni network for continuous learning and exchange.
Language:English
Score: 419186.57 - https://www.unssc.org/print/pdf/commerce_product/238625
Data Source: un
Does the use of SBL  change students’ performance, motivation and  perception of learning process? and 2. What can we learn from the artifacts of SBL sessions about students’  learning processes? What we have learned… Perception of Learning Process: increase in students’  perception that they could rely on others and slight  increase in their perception of others relying on  them; peer learning slightly increased after SBL;   ease of learning about how other students solve programming projects/assignments/labs  considerably more positive among SBL group  students; helpfulness of feedback received perceived  similarly, despite feedback given by students in SBL  condition and by instructor in traditional  What we have learned… Changes in Learning in General: asked about the  learning in the course, both groups responded  favorably, 100% affirmative response rate in groups  exposed to the SBL methodology; impact on  learning, percentage for the impact of studio/groups  activities almost doubled, percentage for the  lectures similar; approach for solving computing  problems is similar.  (...) What we have learnedLearning Processes of the Students: amount of HES  (help seeking) is significantly lower than the tallies of  HEG (help giving). 
Language:English
Score: 419102.15 - https://www.itu.int/en/ITU-D/C.../Presentations/1PaulaSilva.pdf
Data Source: un
The question of whether digital learning solutions have any impact on learning outcomes has become much more important to inform policymakers. (...) Customizing digital learning solutions to the constraint at hand and seamlessly integrating them in the learning process works best in improving learning outcomes. (...) Investigating self-directed learning and technology readiness in blending learning environment. 21 Lounsbury, et al., 2009.
Language:English
Score: 419080.57 - https://www.unicef.org/media/1...view%20of%20the%20evidence.pdf
Data Source: un
But as soon as a UNICEF-supported learning point opened in western Kwaires, they enrolled her there to continue her learning. (...) Students in western Kwaires village enter a UNICEF-supported learning point, where they attend supportive-learning classes to remedy their missed learning due to conflict and displacement. (...) Students in western Kwaires village go back home after attending supportive-learning classes at a UNICEF-supported home learning point.
Language:English
Score: 419062.1 - https://www.unicef.org/syria/s...ty-volunteered-learning-points
Data Source: un
We deliver learning programmes and provide a space for learning to UN staff at all levels, in all functions and locations. (...) Competencies: Professionalism: An in-depth knowledge of learning and knowledge processes, including e-learning tools and applications. (...) Commitment to continuous learning: Willingness to develop oneself professionally and personally; willingness and ability to contribute to the learning of colleagues and subordinates; willingness to learn from others; ability and willingness to seek feedback to learn and improve.
Language:English
Score: 419004.74 - https://www.unssc.org/sites/de...lio%20Manager%20P4%20P%26S.pdf
Data Source: un
ITU Kaleidoscope 2018 – Machine learning for a 5G future Foreword Chaesub Lee Director ITU Telecommunication Standardization Bureau Chairman's Message – Rudy Omar Grether General Chairman Table of Contents Committees Keynote Summary Impact of Machine Learning in 5G Planning and Deployment Session 1 – Machine Learning in Telecommunication Networks - I A MACHINE LEARNING MANAGEMENT MODEL FOR QoE ENHANCEMENT INNEXT-GENERATION WIRELESS ECOSYSTEMS UNSUPERVISED LEARNING FOR DETECTION OF LEAKAGE FROM THE HFCNETWORK DOUBLE SARSA BASED MACHINE LEARNING TO IMPROVE QUALITY OF VIDEOSTREAMING OVER HTTP THROUGH WIRELESS NETWORKS Session 2 – Artificial Intelligence and 5G SELF-HEALING AND RESILIENCE IN FUTURE 5G COGNITIVE AUTONOMOUSNETWORKS AI AS A MICROSERVICE (AIMS) OVER 5G NETWORKS MULTIFRACTAL MODELING OF THE RADIO ELECTRIC SPECTRUM APPLIED INCOGNITIVE RADIO NETWORKS TOWARDS COGNITIVE AUTONOMOUS NETWORKS IN 5G Session 3 – Machine Learning in Telecommunication Networks - II MACHINE LEARNING OPPORTUNITIES IN CLOUD COMPUTING DATA CENTERMANAGEMENT FOR 5G SERVICES CONSIDERATION ON AUTOMATION OF 5G NETWORK SLICING WITHMACHINE LEARNING Session 4 – Optimization of Data Management with Machine Learning A DEEP REINFORCEMENT LEARNING APPROACH FOR DATA MIGRATION INMULTI-ACCESS EDGE COMPUTING Predicting Activities in Business Processes with LSTM Recurrent Neural Networks Session 5 – Network Applications of Machine Learning SMART USAGE OF MULTIPLE RAT IN IOT-ORIENTED 5G NETWORKS: AREINFORCEMENT LEARNING APPROACH MESSAGE COLLISION IDENTIFICATION APPROACH USING MACHINE LEARNING OPTICAL FLOW BASED LEARNING APPROACH FOR ABNORMAL CROWD ACTIVITYDETECTION WITH MOTION DESCRIPTOR MAP Session 6 – Social, Legal and Ethical Aspects in Machine Learning A GENDERED PERSPECTIVE ON ARTIFICIAL INTELLIGENCE ETHICAL FRAMEWORK FOR MACHINE LEARNING UNDECLARED CONSTRUCTIONS: A GOVERNMENT’S SUPPORT DEEP LEARNINGSOLUTION FOR AUTOMATIC CHANGE DETECTION Abstracts Index of Authors
Language:English
Score: 418984.67 - https://www.itu.int/dms_pub/it...-PROC-KALEI-2018-TOC-HTM-E.htm
Data Source: un