Saturday  April  25th,  2015    NESAPS@  Boston  University  

Upper  Level  Physics  MOOCs  for  Online  and  Blended  Learning  

Saif  Rayyan  srayyan@mit.edu    Lecturer,  Physics  Department  ScienIst,  ODL  Digital  Learning  Lab  MIT  

How  did  I  get  here?  •  PhD  in  ParIcle  Physics.  •  Teaching  Fellowship  in  a  small  Liberal  Arts  College.  

•  Postdoc  in  Physics  EducaIon  Research  @  MIT  (RELATE  group  –  P.I.  David  E.  Pritchard).  

•  Lecturer/Digital  Learning  ScienIst.  

•  At  the  intersecIon  of  Teaching  Physics  /EducaIonal  technology/Online  learning/  Physics  educaIon  research  

MOOCs  and  the  Gartner  Hype  Cycle  

Source:  hWp://www.gartner.com/technology/research/methodologies/hype-­‐cycle.jsp    

MOOCs  today  

Source:  hWps://www.class-­‐central.com/report/mooc-­‐tracker/    

MOOCs  today  

Source:  hWps://www.class-­‐central.com/report/mooc-­‐tracker/    

Physics  Department  @  MIT,  Why  MOOCs?  

•  Improve  residenIal  educaIon.  •  Explore  specialty  courses  related  to  Research.  •  Outreach.  

•  History  in  teaching  with  technology  (TEAL,  Mastering  Physics)  

Physics  Curriculum  and  MOOCS  

•  8.01:  Physics  I  •  8.02:  Physics  II  •  8.05:  Quantum  Mechanics  II  •  8.13:  Junior  Lab  I  •  8.14:  Junior  Lab  II  •  8.421:  Atomic  Physics  (Graduate)  •  8.SHIP:  School  of  Heavy  Ion  Physics  (Graduate)  •  8.851  (EFTx):  EffecIve  Field  Theory  

8.S05  QMII  

8.EFTx  8.01x,  8.02x,  8.MReV  

8.05x  Mastering  

QM  

8.01,  8.02  TEAL+x  

Mech  Review  

On  edX  

@  MIT   8.S851  

8.421x  Planned  

8.13,  8.14  8.421,  8.SHIP…….  

8.05x:  Mastering  Quantum  Mechanics  

•  Taught  by  Barton  Zwiebach.  •  Well  developed  set  of  Lecture  Notes/Problems.  

•  Video  taped  in  2013.  •  Taught  every  Fall  (70-­‐80  students).  •  Might  fill  a  gap  in  graduate  students  preparaIon.  

Lectures  3  hours/Week  

RecitaIons  2  hours/Week  

Homework  Pen-­‐Paper  7  hours?  

Pen-­‐Paper  Exam  

Lecture  Videos  (5-­‐20  minutes)  

+Checkpoint  Exercises  

Tutorial  Videos  (Overhead  Camera)  

Computer  graded  Homework  

Computer  graded  Exams  

TradiIonal  8.05   8.05x  Spring  2015  

Lectures  3  hours/Week  

RecitaIons  2  hours/Week  

Homework  Pen-­‐Paper  7  hours?  

Pen-­‐Paper  Exam  

Lecture  Videos  (5-­‐20  minutes)  

+Checkpoint  Exercises  

Tutorial  Videos  (Overhead  Camera)  

Computer  graded  Homework  

Computer  graded  Exams  

8.S05  @  MIT  Spring  2015  

8.S05  @  MIT  Spring  2015  

•  Limited  to  20.  •  Prior  approval  required  •  Must  have  scored  B  or  beWer  in  8.04.  

 

TEAM  and  Effort  •  Barton  Zwiebach  (Prof.):  1  Month  Summer+  Fall  2014  release+  Teaching  8.S05  in  Spring.  

•  Saif  Rayyan  (Lecturer):  9  Months  @50%  •  Jaehoon  Lee  (Graduate  TA):  9  Months  @50%  •  Evangelos  Sfakianakis  (Graduate  TA):  2  Months  @  50%  

•  Undergraduate  students:  Juanita  Becerra,  Yihui  Quek,  Tamara  Dordevic,  Mahmoud  Ghulman  (Time  Varies).  

•  Video  and  Technical  Support  from  MITx.  

What  We  Learned  from  EducaIon  Research  

Passive<AcIve<ConstrucIve<InteracIve  

The  ICAP  Framework:  Linking  Cogni1ve  Engagement  to  Ac1ve  Learning  Outcomes.  

Chi,  Michelene  T.  H.1  Wylie,  Ruth1  

Immediate  Feedback  

•  200  video  segments  •  14  chapters  of  lecture  notes  

•  200  check  point  quesIons  •  ~80  HW  Problems  (250  parts  a,b,c,…)  

Checkpoint  QuesIons  

Tutorial  Videos  

TradiIonal  Homework:    -­‐  Less  direcIon  (+)  -­‐  Focus  more  on  process  not  final  answer  (+)  

-­‐  Delayed  feedback.  (-­‐)  

Online  Homework:    -­‐  Too  much  direcIon  (-­‐)  -­‐  MulIple  aWempts  /  learn  from  mistakes  (+)  

-­‐  Immediate  feedback  (+)  -­‐  Can  go  further  by  using  what  they  did  in  earlier  parts  .  (+)  

Homework  TransformaIon  

Problems  

Proof/Show  Problem  Types?  

•  Latex2edx:  hWps://github.com/mitocw/latex2edx  

•  Latex2dnd:  hWps://github.com/mitocw/latex2dnd  

Technology:  Latex2edx  and  Latex2dnd  

Demographics:  countries  

Demographics:  Age  

Demographics:  Level  of  educaIon  

Gender  

RetenIon  

8.05x  Entrance  Survey  (1536)  

Demographics:  Teachers/physics  background    

Teacher  Enrollment  in  MITx  MOOCs:  Are  We  EducaIng  Educators?  DT  Seaton,  CA  Coleman,  JP  Daries,  I  Chuang    (2014)    

Midterm  Exam  

MIT  edX  

8.05x  (edX)  700  AWempted    484  scored  >  50%  

8.S05  (MIT)  Number  of  students  =  19  1  student  dropped  Average  on  exam  84%  

8.S05  Feedback  from  students  

•  Very  PosiIve:  – Less  class!  (but  no  snow  days!)  –  Immediate  feedback.  – OrganizaIon  of  learning.  –  Importance  of  face  Ime  (recitaIons)  

•  Ask  for  wrong  answer  feedback.  •  Might  become  a  regular  offering.