Computational Thinking and Data Analysis
https://www.iste.org/explore/computational-thinking-and-data-analysis-go-hand-hand
Digital Literacy for St. Cloud State University
https://www.iste.org/explore/computational-thinking-and-data-analysis-go-hand-hand
https://www.iste.org/explore/education-leadership/hottest-topics-edtech-2022
8. Augmented, mixed and virtual reality
7. Social-emotional learning
6. Equity and inclusion
5. Online tools and apps
4. Distance, online, blended learning
3. Computer science and computational thinking
2. Instructional design and delivery
1. Project-based learning
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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
The top 10 workforce skills of 2020 include:
1. Sense making: The ability to determine the deeper meaning or significance of what is being expressed. The Drivers: Rise of smart machines and systems
2. Social intelligence: The ability to connect to others in a deep and direct way, to sense and stimulate reactions and desired interactions. The Drivers: Rise of smart machines and systems, globally connected world
3. Novel and adaptive thinking: Proficiency at thinking and coming up with solutions and responses beyond that which is rote or rule-based. The Drivers: Rise of smart machines and systems, globally connected world
4. Cross cultural competency: The ability to operate in different cultural settings. The Drivers: Superstructured organizations, globally connected world
5. Computational thinking: The ability to translate vast amounts of data into abstract concepts and to understand data based reasoning. The Drivers: New media ecology, computational world
6. New media literacy: The ability to critically assess and develop content that uses new media forms, and to leverage these media for persuasive communication. The Drivers: Extreme longevity, new media ecology, Superstructured organizations
7. Transdisciplinary: Literacy in and ability to understand concepts across multiple disciplines. The Drivers: Extreme longevity, computational world
8. Design mindset: The ability to represent and develop tasks and work processes for desired outcomes. The Drivers: Superstructured organizations, computational world
9. Cognitive load management: The ability to discriminate and filter information for importance, and to understand how to maximize cognitive functions. The Drivers: Superstructured organizations, computational world, new media ecology
10. Virtual collaboration: The ability to work productively, drive engagement, and demonstrate presence as a member of a virtual team. The Drivers: Superstructured organizations, globally connected world
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more on skills in this IMS blog
https://blog.stcloudstate.edu/ims?s=skills
In November 2015, the Open University released the latest edition of its ‘Innovating Pedagogy’ report, the fourth rendition of an annual educational technology and teaching techniques forecast. While the timelines and publishing interval may remind you of the Horizon Report, the methodology for gathering the trends is different.
The NMC Horizon Team uses a modified Delphi survey approach with a panel of experts.
Based upon a review of previous editions, the report tries to categorize pedagogical innovation into six overarching themes:
“What started as a small set of basic teaching methods (instruction, discovery, inquiry) has been extended to become a profusion of pedagogies and their interactions. So, to try to restore some order, we have examined the previous reports and identified six overarching themes: scale, connectivity, reflection, extension, embodiment, and personalisation.”
Follow these links to blog posts and EdITLib resources to further explore selected trends:
full article can be found here: