Computational Thinking and Data Analysis
categories: Digital literacy
https://www.iste.org/explore/computational-thinking-and-data-analysis-go-hand-hand
Posts Tagged ‘Computational Thinking’
Hottest Edtech Topics for 2022 by ISTE
The Hottest Topics in Edtech for 2022
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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5 Emerging Technology Trends Higher Ed Is Watching for in 2022
- Increased Adoption of Learning Analytics and Adaptive Learning
- Growth of Mobile Learning in Higher Ed
- Smarter Artificial Intelligence–Powered Tutors
- The Rise of Short-Form, Video-Based Learning
- Advanced VR and Immersive Learning Technologies
Computational Thinking
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
workforce skills
categories: Digital literacy, information literacy, media literacy, Millennials, technology literacy
These are the top 10 workforce skills students will need by 2020
By Laura Ascione, Managing Editor, Content Services, @eSN_Laura
June 20th, 2017
a recent McGraw-Hill Education survey, just 40 percent of college seniors said they felt their college experience was helpful in preparing for a career. Alarmingly, that percentage plummeted to 19 percent for women answering the same question.
data from the nonprofit Institute for the Future, there are 6 drivers of change in today’s workforce:
1. Extreme longevity: People are living longer–by 2025 the number of Americans older than 60 will increase by 70 percent
2. The rise of smart machines and systems: Technology can augment and extend our own capabilities, and workplace automation is killing repetitive jobs
3. Computational world: Increases in sensors and processing makes the world a programmable system; data will give us the ability to see things on a scale that has never been possible
4. New media ecology: New communication tools require media literacies beyond text; visual communication media is becoming a new vernacular
5. Superstructured organizations: Social technologies drive new forms of production and value creation, and social tools are allowing organizations to work at extreme scales
6. Globally connected world: Diversity and adaptability are at the center of operations–the U.S. and Europe no longer hold a monopoly on job creation, innovation, and political power
2. The rise of smart machines and systems: Technology can augment and extend our own capabilities, and workplace automation is killing repetitive jobs
3. Computational world: Increases in sensors and processing makes the world a programmable system; data will give us the ability to see things on a scale that has never been possible
4. New media ecology: New communication tools require media literacies beyond text; visual communication media is becoming a new vernacular
5. Superstructured organizations: Social technologies drive new forms of production and value creation, and social tools are allowing organizations to work at extreme scales
6. Globally connected world: Diversity and adaptability are at the center of operations–the U.S. and Europe no longer hold a monopoly on job creation, innovation, and political power
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
Trends Tomorrow’s Teaching and Learning Environments
Innovating Pedagogy: Which Trends Will Influence Tomorrow’s Teaching and Learning Environments?
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.
10 Innovative Pedagogy Trends from the 2015 Edition:
- Crossover Learning: recognition of diverse, informal achievements with badges.
- Learning through Argumentation: To fully understand scientific ideas and effectively participate in public debates students should practice the kinds of inquiry and communication processes that scientists use, and pursue questions without known answers, rather than reproducing facts.
- Incidental Learning: A subset of informal learning, incidental learning occurs through unstructured exploration, play and discovery. Mobile technologies can support incidental learning. An example is the app and website Ispot Nature.
- Context-based Learning: Mobile applications and augmented reality can enrich the learners’ context. An example is the open source mobile game platform ARIS.
- Computational Thinking: The skills that programmers apply to analyze and solve problems are seen as an emerging trend . An example is the programming environment SCRATCH.
- Learning by Doing Science with Remote Labs: A collection of accessible labs is ilab
- Embodied learning: involving the body is essential for some forms of learning, how physical activities can influence cognitive processes.
- Adaptive Teaching: intelligent tutoring systems – computer applications that analyse data from learning activities to provide learners with relevant content and sequence learning activities based on prior knowledge.
- Analytics of Emotions: As techniques for tracking eye movements, emotions and engagement have matured over the past decade, the trend prognoses opportunities for emotionally adaptive learning environments.
- Stealth Assessment: In computer games the player’s progress gradually changes the game world, setting increasingly difficult problems through unobtrusive, continuous assessment.
6 Themes of Pedagogical Innovation
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.”
- Delivering education at massive scale.
- Connecting learners from different nations, cultures and perspectives.
- Fostering reflection and contemplation.
- Extending traditional teaching methods and settings.
- Recognizing embodied learning (explore, create, craft, and construct).
- Creating a personalized path through educational content.
Further Reading
Follow these links to blog posts and EdITLib resources to further explore selected trends:
- Interested in the Innovating Pedagogy report? Read our review of the 2014 edition, and reflect which trends are closer to becoming common practice.
- On remote laboratories: Chiang, Y.h.V., Karimi, A. & Kim, P. (2012). A Remotely Operated Science Experiment (ROSE) framework to boost a sense of sharing laboratory resources through a technology-mediated interface.
- On stealth assessment: Suleiman, I., Arslan, M., Alhajj, R. & Ridley, M. (2015). Implementation of a Modified Multi Objective Optimization GA Algorithm in A Stealth Assessment for School Readiness.
full article can be found here:
Innovating Pedagogy: Which Trends Will Influence Tomorrow’s Teaching and Learning Environments?