https://www.edsurge.com/news/2019-05-21-computational-thinking-is-critical-thinking-and-it-works-in-any-subject/
Computational thinking is one of the biggest buzzwords in education—it’s even been called the ‘5th C’ of 21st century skills.
Document-based questions have long been a staple of social studies classrooms
Since the human brain is essentially wired to recognize patterns, computational thinking—somewhat paradoxically—doesn’t necessarily require the use of computers at all.
In a 2006 paper for the Association for Computing Machinery, computer scientist Jeanette Wing wrote a definition of computational thinking that used terms native her field—even when she was citing everyday examples. Thus, a student preparing her backpack for the day is “prefetching and caching.” Finding the shortest line at the supermarket is “performance modeling.” And performing a cost-benefit analysis on whether it makes more sense to rent versus buy is running an “online algorithm.” “Computational thinking will have become ingrained in everyone’s lives when words like algorithm and precondition are part of everyone’s vocabulary,” she writes.
three main steps:
Looking at the data: Deciding what’s worth including in the final data set, and what should be left out. What are the different tools that can help manipulate this data—from GIS tools to pen and paper?
Looking for patterns: Typically, this involves shifting to greater levels of abstraction—or conversely, getting more granular.
Decomposition: What’s a trend versus what’s an outlier to the trend? Where do things correlate, and where can you find causal inference?
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more on critical thinking in this IMS blog
https://blog.stcloudstate.edu/ims?s=critical+thinking
We say we prepare students for undefined futures. Are they better for it?
https://www.chronicle.com/article/an-unconvincing-argument-for-the-liberal-arts
The medieval European understanding of liberal arts, based partially on a reinterpretation of classical ideas, suggested that elites needed an open-ended education based on the trivium and quadrivium (grammar, logic, rhetoric, arithmetic, geometry, music, and astronomy) because, as rulers, they would face complex and unexpected problems, whereas others only needed an introduction to “practical arts” relevant to specific repeated labor.
either everyone needs liberal arts or no one does. If liberal arts and preparation for uncertainty are synonymous, it can’t possibly make sense to limit that training to future leaders or a small elite.
Liberal-arts faculty can be surprisingly incurious about how teaching actually happens in educational settings different from their own
Helga Nowotny calls “the cunning of uncertainty” and accept her argument that everyone — rich and poor, college educated in a liberal-arts curriculum, or high-school educated in a trade — can and should live with and even embrace that cunning. By “cunning,” Nowotny means that uncertainty is an irreducible part of human life and the physical universe, and that we should follow where it leads us.
John Kay has called obliquity: that in a very concrete and empirical sense, many of our most cherished goals and values are achievable only if we do not try to achieve them directly.
Maybe a liberal education is, or could be, about embracing uncertainty where it is generative, necessary, and useful.
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more on liberal arts in this IMS blog
https://blog.stcloudstate.edu/ims?s=Liberal+Arts
https://iated.org/iceri/
ICERI2021, the 14th annual International Conference of Education, Research and Innovation will be held in Seville (Spain) on the 8th, 9th and 10th of November, 2021.
ICERI is one of the largest international education conferences for lecturers, researchers, technologists and professionals from the educational sector. After 14 years, it has become a reference event where more than 800 experts from 80 countries will get together to present their projects and share their knowledge on teaching and learning methodologies and educational innovations. The 2021 edition of ICERI is sure to be among the most successful education conferences in Europe.
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More on conferences in this IMS blog
https://blog.stcloudstate.edu/ims?s=conferences
Apple researching how to use compressed LiDAR data in AR & ‘Apple Car’
https://appleinsider.com/articles/21/07/15/apple-researching-how-to-use-compressed-lidar-data-in-ar-apple-car/amp/
a vehicle equipped with a LIDAR system, a 3-D camera, or a 3-D scanner may include the vehicle’s direction and speed in a point cloud captured by the LIDAR system, the 3-D camera, or the 3-D scanner
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more on LIDAR in this IMS blog
https://blog.stcloudstate.edu/ims?s=lidar
The New Elements of Digital Transformation
https://sloanreview-mit-edu.cdn.ampproject.org/c/s/sloanreview.mit.edu/article/the-new-elements-of-digital-transformation/amp
2014, “The Nine Elements of Digital Transformation”
It requires that companies become what we call digital masters. Digital masters cultivate two capabilities: digital capability, which enables them to use innovative technologies to improve elements of the business, and leadership capability, which enables them to envision and drive organizational change in systematic and profitable ways. Together, these two capabilities allow a company to transform digital technology into business advantage.
We found that the elements of leadership capability have endured, but new elements of digital capability have come to the fore.
While strong leadership capability is even more essential than ever, its core elements — vision, engagement, and governance — are not fundamentally changed, though they are informed by recent innovations. The elements of digital capability, on the other hand, have been more profoundly altered by the rapid technological advances of recent years.
Experience design: Customer experience has become the ultimate battleground for many companies and brands.
Customer intelligence: Integrating customer data across silos and understanding customer behavior
Emotional engagement: Emotional connections with customers are as essential as technology in creating compelling customer experiences.
As ever, well-managed operations are essential to converting revenue into profit, but now we’re seeing a shift in the focus of digital transformation in this arena.
Core process automation: Amazon’s distribution centers deliver inventory to workers rather than sending workers to collect inventory. Rio Tinto, an Australian mining company, uses autonomous trucks, trains, and drilling machinery so that it can shift workers to less dangerous tasks, leading to higher productivity and better safety.
Connected and dynamic operations: Thanks to the growing availability of cheap sensors, cloud infrastructure, and machine learning, concepts such as Industry 4.0, digital threads, and digital twins have become a reality. Digital threads connecting machines, models, and processes provide a single source of truth to manage, optimize, and enhance processes from requirements definition through maintenance.
Data-driven decision-making: from backward-looking reports to real-time data. Now, connected devices, new machine learning algorithms, smarter experimentation, and plentiful data enable more-informed decisions.
Transforming Employee Experience
Augmentation: Warnings that robots will replace humans have given way to a more nuanced and productive discussion.
Workers in Huntington Ingalls Industries’ shipyard use augmented reality to help build giant complex vessels such as aircraft carriers and submarines. They can “see” where to route wires or pipes or what is behind a wall before they start drilling into it.
Future-readying: providing employees with the skills they need to keep up with the pace of change. In the past few years, this has given rise to new models of managing learning and development in organizations, led by a new kind of chief learning officer, whom we call the transformer CLO
Flexforcing: To respond to fast-paced digital opportunities and threats, companies also need to build agility into their talent sourcing systems. As automation and AI applications take over tasks once performed by humans, some companies are multiskilling employees to make the organization more agile.
Transforming Business Models
three elements supporting business model transformation: digital enhancements, information-based service extensions, and multisided platforms.
