This document discusses complexity theory and its application to remote education systems in Australia. It finds that remote education systems exhibit characteristics of complex adaptive systems, with many interacting elements at different levels. Past interventions have often failed to recognize this complexity, instead assuming simple causal relationships. To better address complexity, the document suggests taking an emergent practice approach, engaging all stakeholders collaboratively, using collective inquiry processes, and developing a shared long-term vision.
Sebba o higgins-educational outcomes of children in care_4_nov2014Young Lives Oxford
Understanding the Educational Outcomes of Young People in Care - presentation by Professor Judy Sebba and Aoife O'Higgins from the Rees Centre for Research in Fostering and Education. Gives an overview of research to date and some of the sources of data about education for children in care. Outlines a new study to assess and promote 'what works' to improve education outcomes for young people in care in the UK.
AI in Education Amsterdam Data Science (ADS) What have we learned after a dec...Bart Rienties
The Open University UK (OU) has been implementing learning analytics and learning design on a large scale since 2012. With its 170+ students and 4000+ teaching staff, the OU has been at the forefront of testing, implementing, and evaluating the impact of learning analytics and learning design on students outcome and retention. A range of reviews and scholarly repositories (e.g., Web of Science) indicate that the OU is the largest contributor to academic output in learning analytics and learning design in the world. However, despite the large uptake of learning analytics at the OU there are a range of complex issues in terms of buy-in from staff, data infrastructures, ethics and privacy, student engagement, and perhaps most importantly how to make sense of big and small data in a complex organisation like the OU. During his talk Bart will be presenting on the implementation and learnings.
Keynote SEC2019 Leeds: The power of learning analytics to impact learning and...Bart Rienties
The second keynote will be delivered by Professor Bart Rienties of the Open University who will discuss how the power of learning and teaching can be unharnessed by using learning analytics on Friday, January 11 .
The theme – Learning Spaces – will examine the many arenas in which students can learn and develop, create and collaborate, forge partnerships with communities, cross thresholds or take risks.
Over the course of both days, plenaries, breakout sessions and a panel will also consider sub-themes, such as informal learning spaces and architecture, digital platforms and technology enhanced learning environments.
http://teachingexcellence.leeds.ac.uk/events/keynoted-announced-and-bookings-now-open-for-sec2019/
The present paper is an initiative to understand the intricacies of stress and its impact on faculty members
working in education sector in the new normal and the impact of this on the life of the faculty members in
general and to cite suggestions as per the research outcome. This work is mix of secondary and primary source.
For this the responses were collected from the capital region of Odisha. Total 184 responses were collected and
the data has been collected through purposive and snow ball sampling. The responses so received were used
for Chi-square testing and three hypotheses were analyzed, whereas the second phase of analysis was carried
out under perception score method with 5 point scale for professors at all the levels.
It was found that the Organizational stress & COVID-19 stress having a dominant role on the impact of
performance of professors at all levels. COVID-19 stressors have put more impact on Assistant Professors,
Associate Professors and Professors performance than the organizational stressors in this study. Research and
publication seems to be the common stress for professors at all levels. Loss of family members due to pandemic
and reduction of salary are the common contributors of stress under COVID-19.
Using Learning analytics to support learners and teachers at the Open UniversityBart Rienties
In this seminar Prof Bart Rienties will reflect on how the Open University UK has become a leading institution in implementing learning analytics at scale amongst its 170K students and 5K staff. Furthermore, he will discuss how learning analytics is being adopted at other UK institutions, and what the implications for higher education might be in these Covid19 times.
https://www.kent.ac.uk/cshe/news-events.html
Sebba o higgins-educational outcomes of children in care_4_nov2014Young Lives Oxford
Understanding the Educational Outcomes of Young People in Care - presentation by Professor Judy Sebba and Aoife O'Higgins from the Rees Centre for Research in Fostering and Education. Gives an overview of research to date and some of the sources of data about education for children in care. Outlines a new study to assess and promote 'what works' to improve education outcomes for young people in care in the UK.
AI in Education Amsterdam Data Science (ADS) What have we learned after a dec...Bart Rienties
The Open University UK (OU) has been implementing learning analytics and learning design on a large scale since 2012. With its 170+ students and 4000+ teaching staff, the OU has been at the forefront of testing, implementing, and evaluating the impact of learning analytics and learning design on students outcome and retention. A range of reviews and scholarly repositories (e.g., Web of Science) indicate that the OU is the largest contributor to academic output in learning analytics and learning design in the world. However, despite the large uptake of learning analytics at the OU there are a range of complex issues in terms of buy-in from staff, data infrastructures, ethics and privacy, student engagement, and perhaps most importantly how to make sense of big and small data in a complex organisation like the OU. During his talk Bart will be presenting on the implementation and learnings.
Keynote SEC2019 Leeds: The power of learning analytics to impact learning and...Bart Rienties
The second keynote will be delivered by Professor Bart Rienties of the Open University who will discuss how the power of learning and teaching can be unharnessed by using learning analytics on Friday, January 11 .
The theme – Learning Spaces – will examine the many arenas in which students can learn and develop, create and collaborate, forge partnerships with communities, cross thresholds or take risks.
Over the course of both days, plenaries, breakout sessions and a panel will also consider sub-themes, such as informal learning spaces and architecture, digital platforms and technology enhanced learning environments.
http://teachingexcellence.leeds.ac.uk/events/keynoted-announced-and-bookings-now-open-for-sec2019/
The present paper is an initiative to understand the intricacies of stress and its impact on faculty members
working in education sector in the new normal and the impact of this on the life of the faculty members in
general and to cite suggestions as per the research outcome. This work is mix of secondary and primary source.
For this the responses were collected from the capital region of Odisha. Total 184 responses were collected and
the data has been collected through purposive and snow ball sampling. The responses so received were used
for Chi-square testing and three hypotheses were analyzed, whereas the second phase of analysis was carried
out under perception score method with 5 point scale for professors at all the levels.
It was found that the Organizational stress & COVID-19 stress having a dominant role on the impact of
performance of professors at all levels. COVID-19 stressors have put more impact on Assistant Professors,
Associate Professors and Professors performance than the organizational stressors in this study. Research and
publication seems to be the common stress for professors at all levels. Loss of family members due to pandemic
and reduction of salary are the common contributors of stress under COVID-19.
Using Learning analytics to support learners and teachers at the Open UniversityBart Rienties
In this seminar Prof Bart Rienties will reflect on how the Open University UK has become a leading institution in implementing learning analytics at scale amongst its 170K students and 5K staff. Furthermore, he will discuss how learning analytics is being adopted at other UK institutions, and what the implications for higher education might be in these Covid19 times.
https://www.kent.ac.uk/cshe/news-events.html
Inaugural lecture: The power of learning analytics to give students (and teac...Bart Rienties
Join us at the Berrill Theatre and online on Tuesday 30 January 2018, 6-7pm for the Inaugural Lecture of Professor Bart Rienties, in which he will talk about the power of learning analytics in teaching and learning. Bart Rienties is Professor of Learning Analytics at the Institute of Educational Technology (IET) at The Open University. He is programme director Learning Analytics within IET and head of Data Wranglers, whereby he leads of group of learning analytics academics who conduct evidence-based research and sense making of Big Data at the OU.
As educational psychologist, he conducts multi-disciplinary research on work-based and collaborative learning environments and focuses on the role of social interaction in learning, which is published in leading academic journals and books. His primary research interests are focussed on Learning Analytics, Computer-Supported Collaborative Learning, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects and received a range of awards for his educational innovation projects.
Bart is World Champion Transplant cycling Team Time Trial 2017, the first academic with a transplant to be promoted to full professor, and a keen explorer of life.
In The power of learning analytics to give students (and teachers) what they want!, Bart will describe how his research into learning analytics is enabling him to predict which learning strategy might work best for each student, and provide different, unique experiences for each depending on what they want. In particular, he will explore how student dispositions like motivation, emotion, or anxiety encourages or hinders effective online learning, and how we may need to adjust our approaches depending on individual differences.
Event programme:
18:00 - 18:45 – The power of learning analytics to give students (and teachers) what they want!
18:45 - 19:00 – Q&A
19:00 - 19:45 – Drinks Reception
There will be time for questions and comments. We very much hope you will be able to attend what promises to be an inspiring event and have your say.
An original community psychology model for creating community-wide change capacity through school-based psychological services. With a case study from an Ultra-Orthodox/Hassidic community
Three good reasons to understand the research impact of a technology-enabled ...Helen Farley
The real-world impact of research is gaining much attention across the international Higher Education sector. Funding agencies, government organisations and community groups are seeking evidence that research initiatives are delivering impact beyond contributions to academia.
Researchers, practitioners, educators, learning designers and developers require a good understanding of research impact, and associated terminology, to articulate the real-world benefits of technology-enabled initiatives. There are three good reasons to understand research impact in a
Higher Education context. Firstly, comprehending the language of research impact facilitates meaningful discussion with research stakeholders. Secondly, recognising and communicating the real-world impact of an initiative affirms the ‘so what’ factor of a research project. And thirdly, demonstrating research impact, rather than reporting research outputs, is becoming more important in funding applications and project documentation. This paper concludes with a brief review of assessment frameworks developed to evaluate the real-world impact of Higher
Education research.
This is is my proposal defence. There are many areas need to be modified and to be strengthen., But if you are lost, this might help to at lease have a rough idea on what to prepare during your proposal defence. I am in communication line.
The Power of Learning Analytics: Is There Still a Need for Educational Research?Bart Rienties
Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative. A broad goal of learning analytics is to apply the outcomes of analysing data gathered by monitoring and measuring the learning process. Learning analytics applications in education are expected to provide institutions with opportunities to support learner progression, but more importantly provide personalised, rich learning on a large scale. Substantial progress in learning analytics research has been made in the last few years.
Researchers in learning analytics use a range of advanced computational techniques (e.g., Bayesian modelling, cluster analysis, natural language processing, machine learning) for predicting which learners are likely to fail or succeed, and how to provide appropriate support in a flexible and adaptive manner.
In this keynote, I will argue that unless educational researchers at EARLI embrace some of the key principles, methods, and approaches of learning analytics, educational researchers may be left behind. In particular, a main merit of learning analytics is linking large datasets of actual learning processes and outcomes with learning dispositions and learner characteristics. Using evidence-based approaches rapid insights and advancements are developed how learning designs and learning processes can be optimised to maximise the potential of each learner. For example, our recent research with 151 modules and 133K students at the Open University UK indicates that learning design has a strong impact on student behaviour, satisfaction, and performance. Learning analytics can also drive learning in more “traditional”, face-to-face contexts. For example, by measuring emotions, epistemological expressions, and cross-cultural dialogue, social interactions can be effectively supported by innovative dashboards and adaptive
approaches. I aim to unpack the advantages and limitations of learning analytics and how EARLI researchers can embrace such data-driven research approaches
More info at www.bartrienties.nl
Learning analytics are more than measurementDragan Gasevic
Slides used for the keynote
Learning analytics are more than measurement
at
Policies for Educational Data Mining and Learning Analytics Briefing
organized by http://www.laceproject.eu/
Successful remote schools: what are they?Ninti_One
Number 5 in the Remote Education Systems project's lecture series, this presentation about successful remote schools was delivered on 29 July 2015 at Broome.
Dr Margo Greenwood (March 2017) Community- Based Participatory Research: A S...Sightsavers
This presentation was delivered at IAFOR’s Asian Conference on Education and International Development (ACEID) 2017 in Kobe, Japan.
Presentation abstract:
Community-based participatory research (CBPR) in an education context equitably involves teachers, pupils, community members, organisational representatives and researchers, with a commitment to sharing power and resources and drawing on the unique strengths that each partner brings. The aim through this approach is to increase knowledge and understanding of a given phenomenon and integrate the knowledge gained into interventions, policy and social change to improve the health and quality of life of those in the school community. Sightsavers, a disability-focused iNGO, has been implementing a community-based participatory research approach (CBPR) within its education and social inclusion research in the global South. This paper describes the CBPR methodology, how it works within international development, and its impact on Sightsavers interventions in schools. Specific reference will be made to working with teachers as peer researchers – including those with disabilities, training material for peer researchers, CBPR ethical principles, and community analysis of data.
Inaugural lecture: The power of learning analytics to give students (and teac...Bart Rienties
Join us at the Berrill Theatre and online on Tuesday 30 January 2018, 6-7pm for the Inaugural Lecture of Professor Bart Rienties, in which he will talk about the power of learning analytics in teaching and learning. Bart Rienties is Professor of Learning Analytics at the Institute of Educational Technology (IET) at The Open University. He is programme director Learning Analytics within IET and head of Data Wranglers, whereby he leads of group of learning analytics academics who conduct evidence-based research and sense making of Big Data at the OU.
As educational psychologist, he conducts multi-disciplinary research on work-based and collaborative learning environments and focuses on the role of social interaction in learning, which is published in leading academic journals and books. His primary research interests are focussed on Learning Analytics, Computer-Supported Collaborative Learning, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects and received a range of awards for his educational innovation projects.
Bart is World Champion Transplant cycling Team Time Trial 2017, the first academic with a transplant to be promoted to full professor, and a keen explorer of life.
In The power of learning analytics to give students (and teachers) what they want!, Bart will describe how his research into learning analytics is enabling him to predict which learning strategy might work best for each student, and provide different, unique experiences for each depending on what they want. In particular, he will explore how student dispositions like motivation, emotion, or anxiety encourages or hinders effective online learning, and how we may need to adjust our approaches depending on individual differences.
Event programme:
18:00 - 18:45 – The power of learning analytics to give students (and teachers) what they want!
18:45 - 19:00 – Q&A
19:00 - 19:45 – Drinks Reception
There will be time for questions and comments. We very much hope you will be able to attend what promises to be an inspiring event and have your say.
An original community psychology model for creating community-wide change capacity through school-based psychological services. With a case study from an Ultra-Orthodox/Hassidic community
Three good reasons to understand the research impact of a technology-enabled ...Helen Farley
The real-world impact of research is gaining much attention across the international Higher Education sector. Funding agencies, government organisations and community groups are seeking evidence that research initiatives are delivering impact beyond contributions to academia.
Researchers, practitioners, educators, learning designers and developers require a good understanding of research impact, and associated terminology, to articulate the real-world benefits of technology-enabled initiatives. There are three good reasons to understand research impact in a
Higher Education context. Firstly, comprehending the language of research impact facilitates meaningful discussion with research stakeholders. Secondly, recognising and communicating the real-world impact of an initiative affirms the ‘so what’ factor of a research project. And thirdly, demonstrating research impact, rather than reporting research outputs, is becoming more important in funding applications and project documentation. This paper concludes with a brief review of assessment frameworks developed to evaluate the real-world impact of Higher
Education research.
This is is my proposal defence. There are many areas need to be modified and to be strengthen., But if you are lost, this might help to at lease have a rough idea on what to prepare during your proposal defence. I am in communication line.
The Power of Learning Analytics: Is There Still a Need for Educational Research?Bart Rienties
Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative. A broad goal of learning analytics is to apply the outcomes of analysing data gathered by monitoring and measuring the learning process. Learning analytics applications in education are expected to provide institutions with opportunities to support learner progression, but more importantly provide personalised, rich learning on a large scale. Substantial progress in learning analytics research has been made in the last few years.
Researchers in learning analytics use a range of advanced computational techniques (e.g., Bayesian modelling, cluster analysis, natural language processing, machine learning) for predicting which learners are likely to fail or succeed, and how to provide appropriate support in a flexible and adaptive manner.
In this keynote, I will argue that unless educational researchers at EARLI embrace some of the key principles, methods, and approaches of learning analytics, educational researchers may be left behind. In particular, a main merit of learning analytics is linking large datasets of actual learning processes and outcomes with learning dispositions and learner characteristics. Using evidence-based approaches rapid insights and advancements are developed how learning designs and learning processes can be optimised to maximise the potential of each learner. For example, our recent research with 151 modules and 133K students at the Open University UK indicates that learning design has a strong impact on student behaviour, satisfaction, and performance. Learning analytics can also drive learning in more “traditional”, face-to-face contexts. For example, by measuring emotions, epistemological expressions, and cross-cultural dialogue, social interactions can be effectively supported by innovative dashboards and adaptive
approaches. I aim to unpack the advantages and limitations of learning analytics and how EARLI researchers can embrace such data-driven research approaches
More info at www.bartrienties.nl
Learning analytics are more than measurementDragan Gasevic
Slides used for the keynote
Learning analytics are more than measurement
at
Policies for Educational Data Mining and Learning Analytics Briefing
organized by http://www.laceproject.eu/
Successful remote schools: what are they?Ninti_One
Number 5 in the Remote Education Systems project's lecture series, this presentation about successful remote schools was delivered on 29 July 2015 at Broome.
Dr Margo Greenwood (March 2017) Community- Based Participatory Research: A S...Sightsavers
This presentation was delivered at IAFOR’s Asian Conference on Education and International Development (ACEID) 2017 in Kobe, Japan.
Presentation abstract:
Community-based participatory research (CBPR) in an education context equitably involves teachers, pupils, community members, organisational representatives and researchers, with a commitment to sharing power and resources and drawing on the unique strengths that each partner brings. The aim through this approach is to increase knowledge and understanding of a given phenomenon and integrate the knowledge gained into interventions, policy and social change to improve the health and quality of life of those in the school community. Sightsavers, a disability-focused iNGO, has been implementing a community-based participatory research approach (CBPR) within its education and social inclusion research in the global South. This paper describes the CBPR methodology, how it works within international development, and its impact on Sightsavers interventions in schools. Specific reference will be made to working with teachers as peer researchers – including those with disabilities, training material for peer researchers, CBPR ethical principles, and community analysis of data.
The outcomes for students with Emotional/Behavior Disorders are glim at best. This is the state of outcomes and the rational for change in the way we service and educate this population of student.
What will education look like in the future?EduSkills OECD
Looking ahead and beyond the current pandemic, how do we envisage education changing? The events of the past year have accelerated our increasing familiarity and use of technology and online learning, making us wonder whether our education systems are keeping pace. What new possibilities does this present? And what are the challenges to some of the structures we have in place now, for example in higher education?
And crucially, how do we best prepare our young people for the future, while at the same time ensuring that we have the workforce we need?
This presentation was part of an interactive webinar, hosted by the OECD and Education and Employers, where we outlined four different scenarios describing what education might look like in the future, and then discussed what each might mean for students.
Open Science and Ethics studies in SLE researchdavinia.hl
Beardsley, M., Santos, P., Hernández-Leo, D., Michos, K. (2019). Ethics in educational technology research: informing participants in data sharing risks. British Journal of Educational Technology, 50(3), 1019-1034, https://doi.org/10.1111/bjet.12781
Beardsley, M., Hernández-Leo, D., Ramirez, R., (2018) Seeking reproducibility: Assessing a multimodal study of the testing effect. Journal of Computer Assisted Learning, 2018, vol. 34, no 4, p. 378-386.
Advancing Equity and Inclusion for Deaf Students in Higher Education3Play Media
Join us for a session presented by the National Deaf Center on Postsecondary Outcomes (NDC) on creating inclusive environments in higher education for deaf students. NDC will provide valuable insights into the common barriers faced by deaf students in higher education and offer strategies for fostering inclusivity.
how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@Pi_vendor_247
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Latino Buying Power - May 2024 Presentation for Latino CaucusDanay Escanaverino
Unlock the potential of Latino Buying Power with this in-depth SlideShare presentation. Explore how the Latino consumer market is transforming the American economy, driven by their significant buying power, entrepreneurial contributions, and growing influence across various sectors.
**Key Sections Covered:**
1. **Economic Impact:** Understand the profound economic impact of Latino consumers on the U.S. economy. Discover how their increasing purchasing power is fueling growth in key industries and contributing to national economic prosperity.
2. **Buying Power:** Dive into detailed analyses of Latino buying power, including its growth trends, key drivers, and projections for the future. Learn how this influential group’s spending habits are shaping market dynamics and creating opportunities for businesses.
3. **Entrepreneurial Contributions:** Explore the entrepreneurial spirit within the Latino community. Examine how Latino-owned businesses are thriving and contributing to job creation, innovation, and economic diversification.
4. **Workforce Statistics:** Gain insights into the role of Latino workers in the American labor market. Review statistics on employment rates, occupational distribution, and the economic contributions of Latino professionals across various industries.
5. **Media Consumption:** Understand the media consumption habits of Latino audiences. Discover their preferences for digital platforms, television, radio, and social media. Learn how these consumption patterns are influencing advertising strategies and media content.
6. **Education:** Examine the educational achievements and challenges within the Latino community. Review statistics on enrollment, graduation rates, and fields of study. Understand the implications of education on economic mobility and workforce readiness.
7. **Home Ownership:** Explore trends in Latino home ownership. Understand the factors driving home buying decisions, the challenges faced by Latino homeowners, and the impact of home ownership on community stability and economic growth.
This SlideShare provides valuable insights for marketers, business owners, policymakers, and anyone interested in the economic influence of the Latino community. By understanding the various facets of Latino buying power, you can effectively engage with this dynamic and growing market segment.
Equip yourself with the knowledge to leverage Latino buying power, tap into their entrepreneurial spirit, and connect with their unique cultural and consumer preferences. Drive your business success by embracing the economic potential of Latino consumers.
**Keywords:** Latino buying power, economic impact, entrepreneurial contributions, workforce statistics, media consumption, education, home ownership, Latino market, Hispanic buying power, Latino purchasing power.
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
how can i use my minded pi coins I need some funds.DOT TECH
If you are interested in selling your pi coins, i have a verified pi merchant, who buys pi coins and resell them to exchanges looking forward to hold till mainnet launch.
Because the core team has announced that pi network will not be doing any pre-sale. The only way exchanges like huobi, bitmart and hotbit can get pi is by buying from miners.
Now a merchant stands in between these exchanges and the miners. As a link to make transactions smooth. Because right now in the enclosed mainnet you can't sell pi coins your self. You need the help of a merchant,
i will leave the telegram contact of my personal pi merchant below. 👇 I and my friends has traded more than 3000pi coins with him successfully.
@Pi_vendor_247
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
Resume
• Real GDP growth slowed down due to problems with access to electricity caused by the destruction of manoeuvrable electricity generation by Russian drones and missiles.
• Exports and imports continued growing due to better logistics through the Ukrainian sea corridor and road. Polish farmers and drivers stopped blocking borders at the end of April.
• In April, both the Tax and Customs Services over-executed the revenue plan. Moreover, the NBU transferred twice the planned profit to the budget.
• The European side approved the Ukraine Plan, which the government adopted to determine indicators for the Ukraine Facility. That approval will allow Ukraine to receive a EUR 1.9 bn loan from the EU in May. At the same time, the EU provided Ukraine with a EUR 1.5 bn loan in April, as the government fulfilled five indicators under the Ukraine Plan.
• The USA has finally approved an aid package for Ukraine, which includes USD 7.8 bn of budget support; however, the conditions and timing of the assistance are still unknown.
• As in March, annual consumer inflation amounted to 3.2% yoy in April.
• At the April monetary policy meeting, the NBU again reduced the key policy rate from 14.5% to 13.5% per annum.
• Over the past four weeks, the hryvnia exchange rate has stabilized in the UAH 39-40 per USD range.
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
The secret way to sell pi coins effortlessly.DOT TECH
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Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Card
Complexity and Chaos in remote schools
1. Complexity and chaos in remote
schools
Remote Education Systems project
Adelaide, 24 June 2015
2. Introduction
• Outline
• Complexity theory and complex adaptive systems
• Empirical evidence of complexity from RES data
• Why past remote education interventions have failed
• What we should do differently, taking complexity into account
• Theoretical and conceptual foundations
• Bat, M., & Guenther, J. (2013). Red Dirt Thinking on Education: A People-Based System. The Australian
Journal of Indigenous Education, 42(Special Issue 02), doi:10.1017/jie.2013.20
• Remote education systems: what are they?
• Complexity as a counternarrative to disadvantage
2
3. Complexity theory
3
Complexity Theory: origins in systems science
Simple: ordered, predictable
Complicated: cause and effect, but needs more analysis
Complex: non-linear, unpredictable causes and effects
Chaotic: no relationship between input and output
Cynefin Framework
4. Characteristics of Complex Adaptive Systems
• Large number of elements
• Networked in multiple ways
• Continuous interactions
• Co-evolving relationships
• Self-organising
• Patterns emerge from
interactions
• Tend toward maximum entropy
unless they receive energy from
their environment
• “Balanced between order and anarchy, at
the edge of chaos” (Dodder and Dare
2000:3)
4
http://etec.ctlt.ubc.ca/510wiki/Complexity_Theory
5. Some applications (among many more)
• Economics (McGregor, 2012)
• Socio-ecological systems (Levin et al., 2013).
• Solving ‘wicked’ problems (Head & O’Flynn, 2015)
• Explains dynamics of organisations (Callahan & Milne, 2004)
• Organisational leadership (Schneider & Somers, 2006)
• Strategy development (Hammer et al., 2012)
• Research and evaluation (Rogers, 2008; Westhorp, 2012)
• Educational philosophy (Mason, 2008)
• Education theory (Davis & Sumara, 2010)
• Education system reform (Snyder, 2013)
• Strategic policy: shifting systems (Boal & Schultz, 2007; Bates
2012; Brown 2010)
5
6. RES project Aim
• To find out how remote Aboriginal and Torres Strait Islander
communities can get the best benefit from the teaching and learning
happening in and out of schools.
Research questions
• What is education for and what can/should it achieve?
• What defines ‘success’ from the remote Aboriginal and Torres Strait
Islander standpoint?
• How does teaching need to change to achieve ‘success’?
• What would an effective education system in remote Australia look
like?
6
7. RES Project data sources
• Publicly available datasets (my school and Census)
• Community surveys in 10 remote communities
• Observations from site visits in 3 jurisdictions (WA, SA, NT)
• Engagement of over 200 remote education stakeholders in
research processes (20 Thinking Outside The Tank sessions)
• Dare to Lead Snapshots in 31 Very Remote schools
• Reading of the relevant research literature
• 6 Post-graduate research projects in progress
7
8. Very remote Australian Community Schools
8
>1000 discrete communities
with
~160 very remote schools with
>80% Aboriginal or Torres Strait
Islander students with
~17000 students enrolled
Commonwealth of Australia. (2007). Discrete Indigenous Communities: Australian Geographical Classification Remoteness Structure. Retrieved
October 2014 from
http://www.ausstats.abs.gov.au/ausstats/subscriber.nsf/0/499711EC612FF76ECA2574520010E1FE/$File/communitymap.pdf.
9. Descriptions of complexity in the RES data
9
System element Theme Key points
Family context Family dynamics Competing family priorities and pressures, family responsibilities, parenting,
intergenerational change
Social context Social issues Fighting, kids wandering around at night, shame, housing, teasing, thrill of
violence, poverty
Substance abuse Alcohol and drugs
Mobility Movement in and out of towns
Mistrust Lack of trust in institutions
Student context Students and agency Not just about presenting behaviours, students make choices, ‘boss of the
parents’
Student health and
wellbeing
Health, suicide, safety
Cultural context Cultural priorities Death and funerals, cultural differences, law and ceremonies
Language and identity Multiple languages, English language acquisition
Purpose of school No reason to engage
Cultural change ‘halfway between nowhere’
School context Teachers and teaching Multiple roles and responsibilities, relationships with community, experience,
professional standards, misunderstanding of context
Stress and frustration Teacher burnout
Flexibility Need for adaptability and flexibility
Policy context Policy environment Policy doesn’t recognise complexity, inability to respond to unique
situations, tensions for policy makers
Resourcing Funding cycles, uncertainty, available human resourcing
Welfare Disincentives, stigma of work, expectations of youth allowance payments
Racism Lack of support for Aboriginal teachers
Disconnected services Agencies not working together, lack of integration
10. Diagrammatic representation of remote education
systems
10
Complexity at the
edge of chaos in
remote education
Student issues
Language and
cultural identity
Family issues
School issues
Policy
environment
Social issues
agency
trauma
health and wellbeing
safetyviolence
mobility
substance abuse
stress and frustration
welfare disincentives
racism
disconnected services
why school?
resourcing
(dis)trust
cultural change
staff support
(in)flexibility
family expectations
curriculum
teacher standards
teacher preparation
funerals
neglect
Industry/
employment
issues
Training/
further
education
issues
cultural priorities
11. Alignments with complexity theory
• Large number of system elements interacting with each other at
multiple levels
• Recognisable patterns (truancy, teacher turnover, health and
wellbeing issues, competing cultural priorities, violence and
mobility and student agency)
• Remote education systems don’t behave as simple systems:
unpredictable outcomes, non-linear logic
11
12. Why have past interventions in remote education failed?
1. They assume simple causal pathways that don’t exist
2. They make assumptions about the system that aren’t shared by
local people
3. They fail to take account of all the elements of the system
4. They compete against other interventions that may work against
system change
5. They often assume that the impact of interventions will work
‘simply’
6. They fail to take into account the system’s tendency to maximise
entropy
7. They fail to acknowledge the connections within the system
12
13. If remote education systems were ‘complex’ what would
we do differently?
1. Take account of
uncertainty and
unpredictability
2. Engage all system
elements with
collaborative and
adaptive leadership
3. Practice processes of
collective inquiry
4. Narrate a shared
vision over time
13
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
1981 1986 1996 2001 2006 2011
Percentageof15+populationwho
hadnotattendedschool
Census year
Did not attend school (whole population)
Aboriginal and Torres Strait Islanders
Sources: ABS Census publications, * Note that in 1991 the publicly available Census
information did not show numbers of those who did not attend school. Aboriginal
and Torres Strait Islander data is not available prior to the 2001 Census.
Percentage of people aged 15+ who had never attended school at Census points,
1981* to 2011 for the NT
14. Conclusions
• Complexity Theory may be a useful lens to through which to view
remote education systems
• BUT, in the RES data it was mainly non-remote people who
described it in these terms.
• Remote education systems fit criteria of Complex Adaptive Systems
• BUT strategic policy has largely failed to come to grips with the
significance of this and to a large extent has failed as a result.
• An effective response to complexity would see
• a focus on emergent practice rather than best practice;
• collaborative leadership that engages all the system stakeholders;
• a process of collective inquiry that draws on the knowledges of all the
system actors; and
• ongoing development of a consistent narrative, allowing time for the
vision for education to become shared by all stakeholders.
14
15. Suggested readings
Bat, M., & Guenther, J. (2013). Red Dirt Thinking on Education: A People-Based
System. The Australian Journal of Indigenous Education, 42(Special Issue
02), 123-135. doi:10.1017/jie.2013.20
Guenther, J., & McRae-Williams, E. (2015). The training and employment challenge of
remote communities: Is collaboration the solution? Paper presented at the
AVETRA 18th Annual Conference, Melbourne.
Guenther, J., Galbraith, M., Moss, B., & Dhamarrandji, P. (2015). Practice based best
evidence: What evidence base counts when evaluating good practice in
program delivery? Paper presented at the AIFS Knowledge Circle Webinar
Series. Webinar retrieved from
https://www2.aifs.gov.au/cfca/knowledgecircle/news-events/practice-based-
best-evidence-what-evidence-base-counts-when
15
16. Questions for discussion
1. Does it make a difference that local Aboriginal people don’t see
remote education as complex?
2. What can universities do to prepare new teachers for the
complexities they will face in remote teaching?
3. What could school leaders do with complexity theory?
4. Where does the urgency for change in remote education systems
come from?
5. What are the implications for measuring success in complex
systems?
6. Are remote education systems that much different to rural,
regional or urban systems?
16
