Saturday, April 29, 2017

“Learning how to Learn” – the course they never taught us in school is free online and now most popular

“Online Course Report” have provided a brief description of the 50 free, most popular MOOCs (Massive Open Online Courses) of all time (see list below). Topping the list is “Learning How To Learn: Powerful mental tools to help you master tough subjects” taught by Dr. Barbara Oakley, University of Oakland and Dr. Terrence Sejnowski, Salk Institute for Biological Studies.  This is one of two courses that have attracted more than a million enrollees.

This course should take four weeks to complete—about 2 hours or more each week. By the time you complete the course, you’ll have gained valuable learning techniques used by experts in the subjects such as:  art, music, literature, math, science, sports, etc. Using these approaches, you can learn to master any topic. If you’ve ever wanted to become better at anything, this course will be helpful in achieving that goal.

·         You may take this course for free,  have access to all course materials, but will not receive certification
·         If you want to earn a Certificate, you will have to purchase the course for $49 USD

To be extra prepared, the book “A Mind for Numbers” should help, but it is not required.  The book is available in many different languages, editions, and locations worldwide. It’s a New York Times science best-seller and should give you the foundations you need to learn in any discipline.

·         Week 1: What is Learning? The two different modes of operation of our brain, etc. 14 videos, 4 readings, 1 quiz;
·         Week 2: Chunking (Chunks are compact packages of information that our mind can easily access). How to form chunks; how to use chunks to improve our understanding and creativity; how chunks can help us do better on tests; etc. 12 videos, 1 reading, 2 quizzes;
·         Week 3: Procrastination and Memory. Memory & chunking, short-term memory, long term memory, handling procrastination, best ways to access our brain’s most powerful long-term memory systems, etc. 15 videos, 1 reading, 3 quizzes;
·         Week 4: Renaissance Learning and Unlocking Your Potential. Important ideas and techniques that will enhance our ability to learn, etc. 16 videos, 2 readings, 2 quizzes.

·         You will be more effective within your studies in any course
·         You will be able to teach your students and family members to be more effective learners
·         You should be able to pass courses that you previously considered too difficult

·         English version
·         Portuguese version
·         Spanish version
·         Chinese version

1.       Learning How To Learn: Powerful mental tools to help you master tough subjects (All-time, total enrollment number: 1 192 697; Platform through which course offered: Coursera; Institution homepage: UC San Diego)
2.       Machine Learning (1 122 031, Coursera, Stanford University)
3.       R Programming (952 414, Coursera, John Hopkins University)
4.       Introduction to Finance (846 654, Coursera, University of Michigan)
5.       The Data Scientist’s Toolbox (828 837, Coursera, Johns Hopkins University)
6.       Think Again: How to Reason and Argue (775 717, Coursera, Duke University)
7.       Algorithms: Part 1 (751 089, Coursera, Princeton University)
8.       Developing Innovative Ideas for New Companies: The First Step in Entrepreneurship (736 347, Coursera, University of Maryland)
9.       Understanding IELTS: Techniques for English Language Tests (690 567, FutureLearn, British Council)
10.   Programming Mobile Applications for Android Handheld Systems – Part 1 (678 451, Coursera, University of Maryland)
11.   Cryptography I (674 404, Coursera, Stanford)
12.   Programming for Everybody / Getting Started with Python (657 068, Coursera, Michigan University)
13.   Social Psychology (645 568, Coursera, Wesleyan University)
14.   Introduction to Public Speaking (616 208, Coursera, University of Washington)
15.   Model Thinking (582 200, Coursera, University of Michigan)
16.   An Introduction to Interactive Programming in Python (581 043, Coursera, Rice University)
17.   Introduction to Philosophy (550 000+, Coursera, University of Edinburgh)
18.   Algorithms: Design and Analysis, Part 1 (548 631, Coursera, Stanford University)
19.   Introduction to Computer Science (515 476, Udacity, n/a)
20.   Inspiring Leadership through Emotional Intelligence (494 369, Coursera, Case Western Reserve)
21.   Game Theory (474 148, Coursera, Stanford University/ University of British Columbia)
22.   Calculus 1 (454 410, Coursera, Ohio State University)
23.   Competitive Strategy (430 582, Coursera, Ludwig-Maximilians-Universitat Munchen (LMU))
24.   Write101x: English Grammar and Style (414 432, Edx, University of Queensland)
25.   IELTSx: IELTS Academic Test Preparation (355 026, Edx, University of Queensland)
26.   Introduction to Computer Science (348 476, edX, Harvard University)
27.   Exploring English: Language and Culture (326 093, FutureLearn, British Council)
28.   Think101x: The Science of Everyday Thinking (304 694, Edx, University of Queensland)
29.   Data Analysis and Statistical Inference (291 703, Coursera, Duke University)
30.   Gamification (approx. 286 000, Coursera, University of Pennsylvania/ Wharton)
31.   Circuits and Electronics (229 813, edX, MIT)
32.   Creativity, Innovation and Change (approx. 220 000, Coursera, Penn State)
33.   A Beginner’s Guide to Irrational Behavior (217 322, Udacity, n/a)
34.   Web Development: How to Build a Blog (217 322, Udacity, n/a)
35.   Learn to Program: The Fundamentals (198 566, Coursera, University of Toronto)
36.   Greek and Roman Mythology (approx. 180 000, Coursera, University of Pennsylvania)
37.   Startup Engineering (170 305, Coursera, Stanford University)
38.   Computational Investing, Part I (approx. 170 000, Coursera, Georgia Institute of Technology)
39.   Financial Markets (161 959, Coursera, Yale University)
40.   Introduction to Artificial Intelligence (approx. 160,000, Udacity, Stanford University)
41.   Introduction to Computer Science and Programming (157 431, edX, MIT)
42.   Introduction to Financial Accounting (155 516, Coursera, University of Pennsylvania / Wharton)
43.   Modern & Contemporary American Poetry (approx. 140 000, Coursera, University of Pennsylvania)
44.   Data Analysis (approx. 102 000, Coursera, Johns Hopkins Bloomberg School)
45.   Introduction to Computer Science and Programming Using Python (98 688, edX, MIT)
46.   The Future of Storytelling (92 957, iversity, University of Applied Sciences Potsdam)
47.   Science and Cooking: From Haute Cuisine to Soft Matter Science (92 045, edX, Harvard University)
48.   Introduction to Philosophy: God, Knowledge, and Consciousness (89 183, edX, MIT)
49.   Introduction to Operations Management (approx. 87 000, Coursera, University of Pennsylvania / Wharton)
50.   Introduction to Mathematical Thinking (86 230, Coursera, Stanford University)


Posted by Dr. Nat Tuivavalagi

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