Massive Open Online Courses (MOOCs): How Do They Work? (Reflections from Personal Experience) Dan Grossman Department of Computer Science & Engineering.

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Presentation transcript:

Massive Open Online Courses (MOOCs): How Do They Work? (Reflections from Personal Experience) Dan Grossman Department of Computer Science & Engineering University of Washington ATLAS Speaker Series Univ. Colorado Boulder September 9, 2013

Plan Background on MOOCs and my role Why I did a MOOC –Plus some university perspective Course tour First presentation of some course data –Special focus for this audience: gender Hopefully lots of Q&A –There is much to say about MOOCs, pro or con –Rather let you pick the subtopics! September 9, 20132Grossman's MOOC Reflections

What makes a MOOC a MOOC Online –Video, discussion board, etc. Free –Can talk monetization strategies if you want, but not my role Semi-synchronous courses –Social cohorts with modern lives Scale –Once a course is large, more students improve a course –Very little can flow through the course staff September 9, 2013Grossman's MOOC Reflections3

Recent history 2 years ago (!): –3 CS MOOCs from Stanford go viral, hit mass media, etc. –(Also Khan Academy, Code Academy, cMOOCs, …) <1.5 years ago: –Coursera, Udacity, EdX, … –UW partners with Coursera (later, EdX too) Coursera today: > 4M users, > 60 universities, > 400 courses Everybody talking about it –Academia, from presidents on down –Much of the software industry –Friends, strangers, my parents, … September 9, 20134Grossman's MOOC Reflections

My role Instructor: Programming Languages, Jan-Mar 2013 –Sophomore-level majors-only class in a very competitive major A challenging course made available to all Coordinated department effort: 5 courses in 2013 –Instructors plus cadre of nimble TAs –Interactions with Coursera Meeting with various UW entities about the path forward –Department was first-mover, separate from other UW courses –Now I know the Provost’s Office September 9, 2013Grossman's MOOC Reflections5

What a year! 15 months ago, I wasn’t a “MOOC expert,” but it has been a fantastic passion –Mostly brought energy, organization, and “common sense” –It’s early days September 9, 20136Grossman's MOOC Reflections

Plan Background on MOOCs and my role Why I did a MOOC –Plus a little on university perspective Course tour First presentation of some course data –Special focus for this audience: gender September 9, 20137Grossman's MOOC Reflections

Why? Faculty View I believe I have a great course and want to have impact –5-10x more students in 1 term than in last decade combined –More fun and effective than writing a textbook –Have people learn instead of watching Real Housewives –Influence other educators –Fame (not fortune) Be part of academic change –Not read about it in the newspaper –No substitute for first-hand experience September 9, 20138Grossman's MOOC Reflections

Why? Department View Can have amazing impact –Scalable, worldwide leaders in computing education MOOCs might [not] change how universities work in N years –Gain experience Improve and leverage reputation Feedback to improve conventional courses –New modalities (e.g., video, peer assessment) –Massive data Yes, it costs money, but remarkably little –Cost is time September 9, 2013Grossman's MOOC Reflections9

Two Comparisons Compared to conventional courses –Same or better: Homeworks, lectures –Unclear: Study groups –Worse: Design projects, exams, mentoring, … Compared to writing a textbook!! –Attrition  failure –Rarely profitable for authors –Worldwide impact of high-quality materials –Influence other educators –Assessment a secondary issue –Better: videos, forums, graded homework “21 st – century textbook plus social” September 9, Grossman's MOOC Reflections

Does free mean doom? “If these courses are free, why are people paying tuition?” Coherent 4-year curriculum Personal interaction with faculty/TAs –Motivation, mentoring, … Homeworks graded by humans Open-ended design and free-response questions Credit because we know you actually learned the material Courses adapt to student needs Plus other reasons to attend a university: social support, job fairs, independent study/research, etc. September 9, 2013Grossman's MOOC Reflections11 Focus on our higher-value “services”?

Perspective It is plausible MOOCs will destroy universities as we know them (!) –Big changes can happen quickly But universities have survived before: Plus: iTunes U, course web pages, … September 9, Grossman's MOOC Reflections

Plan Background on MOOCs and my role Why I did a MOOC –Plus a little on university perspective Course tour First presentation of some course data –Special focus for this audience: gender September 9, Grossman's MOOC Reflections

The course My favorite teaching assignment –Taught 5 times over 9 years before making a MOOC –Already developed lecture materials, reading notes, homeworks, … –A popular course Comes after two programming courses Majors only September 9, Grossman's MOOC Reflections

Some details 10 weeks Topics: Syntax vs. semantics, recursive functions, benefits of no mutation, algebraic datatypes and pattern matching, tail recursion, higher-order function closures, lexical scope, currying, syntactic sugar, equivalence and effects, parametric polymorphism, type inference, modules and abstract types, static vs. dynamic typing, streams and memoization, macros, eval, pure OOP, implementing dynamic dispatch, multiple inheritance vs. mixins, OOP vs. functional decomposition, subtyping, bounded polymorphism Languages: ML, Racket, Ruby Seven homeworks, all programming Midterm and final, including English and code September 9, Grossman's MOOC Reflections

The Coursera course 10 weeks Topics: Syntax vs. semantics, recursive functions, benefits of no mutation, algebraic datatypes and pattern matching, tail recursion, higher-order function closures, lexical scope, currying, syntactic sugar, equivalence and effects, parametric polymorphism, type inference, modules and abstract types, static vs. dynamic typing, streams and memoization, macros, eval, pure OOP, implementing dynamic dispatch, multiple inheritance vs. mixins, OOP vs. functional decomposition, subtyping, bounded polymorphism Languages: ML, Racket, Ruby Seven homeworks, all programming, average of 2 submissions Midterm and final, including English and code September 9, Grossman's MOOC Reflections

Key pieces Videos: –7-12 minutes, released weekly (3ish hours / week) –Lots of writing code in Emacs; also Powerpoint –TAs added “in-video questions” independently Homeworks: –From UW course, with “weapons-grade” auto-testing –Peer assessment for 10% of grade Exams: Open materials, multiple-choice-ish Discussion Forum: Active and mostly self-sufficient September 9, Grossman's MOOC Reflections

Video demo September 9, Grossman's MOOC Reflections

How did we do it? Compared to many institutions, we did it ad hoc –With lots of advance preparation –And lots of stress A behind-the-scenes look in four pictures… September 9, Grossman's MOOC Reflections

Four pictures September 9, Grossman's MOOC Reflections

Four pictures September 9, Grossman's MOOC Reflections

Four Pictures September 9, Grossman's MOOC Reflections

Four pictures September 9, Grossman's MOOC Reflections

Where my time went Caveat: Rough guesses; started 4 months early Lectures: 30 hours of content, hours total –80ish% of this work requires domain expertise Discussion forum: Several times / day, briefly (cf. Facebook) Homeworks: Auto-grading and peer assessment 100 hours? –Much more than multiple choice Exams: hours Announcements, website, TA meetings, fixing typos, schedule spreadsheet, stress, etc. 50 hours? September 9, Grossman's MOOC Reflections

Where TA time went In-video questions Grading scripts Some things not requiring domain expertise –File uploading, proof-reading, … Note: TAs are much better than faculty/staff at learning new things! September 9, Grossman's MOOC Reflections

Was it worth it? Me: –Extremely rewarding, exhausting, and hopefully influential –Re-running will be much less work TAs: –Really proud and worked super hard –I made a point of acknowledging the “sherpas,” but MOOCs still create “cult of personality” September 9, Grossman's MOOC Reflections

For participants 2000ish or more very happy –In some sense, I get to pick which students are happy Forum posts, online reviews, s, postcards, … Post-course survey September 9, Grossman's MOOC Reflections

For UW students Posted videos (not really flipped), more TAs, cachet –Coursera rarely mentioned My highest teaching evaluations ever… –Great TAs the main reason September 9, Grossman's MOOC Reflections

Plan Background on MOOCs and my role Why I did a MOOC –Plus a little on university perspective Course tour First presentation of some course data –Special focus for this audience: gender September 9, Grossman's MOOC Reflections

Preliminary data Recently completed first informal data analysis –Things I wanted to know –Caveats abound Three parts: 1.Completion rates 2.Demographics: Country, Age, Background 3.Demographics: Gender September 9, Grossman's MOOC Reflections

Participation numbers, take 1 “Registered”: 65,000 totally irrelevant Clicked play in first 2 weeks: 27,000 many didn’t have pre-reqs? Watched an hour of video: 12,000 like coming to first day? Turned in 1st homework: 4,000 Turned in 5 th homework: 2,100 attrition doesn’t stop “Passed”: 1,716 Fan mail/posts: 300 Fairly consistent with Coursera data across “hard” courses Define success however you want –Many love it in parts, start late, don’t turn in homework, etc. –Learning rather than watching television September 9, Grossman's MOOC Reflections

Choose your denominator I personally do not say, “65K took my course”! We need to “choose” a more realistic “completion rate” September 9, Grossman's MOOC Reflections Registered: 65,000 Completers: % Took pre-survey: 16,587 Completers therein: % >70% (*) on Homework 1: 3170 Completers therein: % * UW median >95%

Attrition steady “Life happens” to about 10% per week September 9, Grossman's MOOC Reflections

Cynic’s view The data clearly shows how to drive up completion rates: –Make the course shorter –Require less work –Let them resubmit endlessly –Set the bar for passing lower –Make it harder to sign up (e.g., no sign-up until 2 weeks before) September 9, Grossman's MOOC Reflections

Next time September 9, Grossman's MOOC Reflections Please take this survey after watching the introductory videos I intend to complete ___ of the homework assignments. [none, ½, all] How committed are you to earning a Statement of Accomplishment? [strongly, somewhat, barely, not] Do you intend to earn a Statement of Accomplishment? [yes, no, unsure]

Preliminary data Recently completed first, informal data analysis –Questions I personally had –Caveats abound Three parts: 1.Completion rates 2.Demographics: Country, Age, Background 3.Demographics: Gender September 9, Grossman's MOOC Reflections

Caveats No data for 48K / 65K (26% response rate) –No clue how the sample is biased No data for 237 / 1716 completers (86% response rate) All data self-reported Cheating is easy Did not ask education level –Other Coursera courses find 70+% of completers have a Bachelor’s degree –Unclear “what we know about U.S. college students” applies September 9, Grossman's MOOC Reflections

Country distribution 69% outside the U.S. (76% of completers) September 9, Grossman's MOOC Reflections Others combined

Age distribution September 9, Grossman's MOOC Reflections 10% 12% 11% 9% 11% 6% 2% Completion rate much lower for under-25 Completion % per age group

Recommended background Most telling question I had the foresight to ask: September 9, Grossman's MOOC Reflections How would you describe your comfort level with recursion? 1.I have never heard of it. 2.It seems magical but I tried to learn it. 3.I think I have the hang of it. 4.Recursion is easy and natural. From the sign-up website: Students should be comfortable with variables, conditionals, arrays, linked lists, stacks, and recursion (though recursion will be reviewed and expanded upon), and the difference between an interface and an implementation.

Recursion numbers September 9, Grossman's MOOC Reflections Seems magical 3079 (19%) Think I get it 5741 (35%) Easy, natural 4245 (26%)

Recursion / Completion September 9, Grossman's MOOC Reflections BackgroundCompletersNon- completers % completers Never heard % Seems magical % Think I get it % Easy, natural % Cannot compare my course to “Intro to X”? Participants don’t read background or don’t heed it?

Preliminary data Recently completed first, informal data analysis –Questions I personally had –Caveats abound Three parts: 1.Completion rates 2.Demographics: Country, Age, Background 3.Demographics: Gender September 9, Grossman's MOOC Reflections

Preparation Numbers are worse than I thought  –Silver linings follow: partial reasons and opportunities I am less an expert on CS gender issues than many in audience –But work hard on classroom environment, student interactions, department culture, … “We are on the same team” –I’m incredibly proud of UW’s NCWIT pace-setter status –Though we, like everyone, have more work to do September 9, Grossman's MOOC Reflections

Digression: some UW numbers CS1: > 33% female –Steady growth from 25% in 2004, while course largest ever CS2: > 23% female –Steady growth from 15% in 2004, while course largest ever Percentage undergraduate CS degrees to women in 2011: 28% –National average: 13% My Winter+Spring course offerings: –36 of 116 female (31%) –6 of top 11 grades to women –... September 9, Grossman's MOOC Reflections

Registration and completion numbers  Of survey participants: 19% female Of U.S. survey participants: 22% female Of survey participants who completed: 9% female Of U.S. survey participant who completed: 11% female In isolation, any one of these numbers is disappointing but palatable But combined, my heart sank: Female completion rate: 4.2% (or 3.6% in U.S.) Male completion rate: 9.9% (or 7.9% in U.S.) September 9, Grossman's MOOC Reflections Crucial to analyze the completion gap

Partial reason #1 Does recursion background correlate with gender? –Surprisingly: yes –I don’t know why (among those who chose this course) September 9, Grossman's MOOC Reflections Never heard Seems magical Think I get it Easy, natural women 31% 25% 31% 13% men 19% 17% 36% 28%

Partial reason #1 “Women report less recursion background” explains some of the overall completion gap (9.9% male, 4.2% female) –But not most of it September 9, Grossman's MOOC Reflections BackgroundMen % Completer Women % Completer Never heard + seems magical 2.1% Think I get it + Easy, natural 14.4% 7.1%

Bigger reason Whatever caused the gap happened almost entirely before Homework 1! September 9, Grossman's MOOC Reflections BackgroundMen % Completer Women % Completer No survey % Completer Total % Completer Everyone registered 9.9% 4.2% < 0.1% 2.6% > 70% on Homework % 44.9% 41.5% 49.0% Focus on the first 7-10 days of the course – the rest is in pretty good shape!

Opportunities Data was easy to collect for [almost] free –Much more data we haven’t even looked at MOOCs could provide distributed cohorts, mentors, on-ramps, your-idea-here, … MOOCs are not entrenched in legacy decisions MOOCs are an attractive target (more impact per course) MOOCs are great for re-training Remember the numerator too: > 134 women finished the course September 9, Grossman's MOOC Reflections

Conclusions Personal opinion: MOOCs are more fantastic than terrible… September 9, Grossman's MOOC Reflections

For me… One of the coolest things I have ever done –Rewarding, influential, exhausting I got to teach thousands of students around the world! –What is better than sharing your passion for free? There is no “one right way” to teach a MOOC (or write a textbook) Demographics very different from my campus It’s early days – Nobody knows where MOOCs are heading: September 9, Grossman's MOOC Reflections

Thanks [next offering begins early October] September 9, Grossman's MOOC Reflections