Remedial Online Teaching
 on a Summer Course
             … and more
                                  Martin Rehm

      ...
Outline


•   Framework
•   Online Remedial Teaching Model
•   Research Questions
•   Methodology
•   Results
•   More Res...
Framework


• Increasing internationalization of enrollment
  (~ 70% from abroad)
•‘ New’ accreditation procedures (Treaty...
Online Remedial Teaching Model


1. Online Availability 24/7
  (Vrasides & Zembylas, 2003)

2. Adaptive
  (Falmange et al....
Virtual Learning Environment



                                 Feedback
Student                         Interaction     ...
Research Questions


1. How can students assess their current level of
   mastery before joining a (Bachelor’ programme?
 ...
Methodology
Prior Knowledge Test


• Diagnostic Test
• Self-Assessment
• Feedback via email

• ~ 70 % of incoming students are below
 ...
Online Course Economics


•   6 weeks
•   10 –15 hours per week
•   e-PBL approach
•   ~ 15 participants per group
•   Onl...
Virtual Learning Environment



                                 Feedback
Student                         Interaction     ...
Results


• Pre-Evaluation:
   – dissatisfied with their level of mastery in economics
   – appreciated:
      •online nat...
More Results (1)
   100
      95
      90
      85
      80
      75
      70
      65
      60
      55
      50
        ...
More Results (2)
   7,4
   7,2
       7
   6,8
   6,6
   6,4
   6,2
       6
   5,8
   5,6
   5,4
               EconPrior...
More Results (3)


• Selection Bias?
   – if any, it is very small & statistically insignificant
   è Suggests a true lear...
Outlook


1. Does CSCL have a temporary or structural effect on
   the (prior) knowledge level and competencies of
   stud...
Social Network Analysis




                          CS
                           CL
                          Macro
Social Network Analysis




                                        CS
                                         CL
Hierarc...
Social Network Analysis




                                   CS
                                    CL
Type A

Type B
  ...
Remedial Online Teaching
 on a Summer Course
             … and more
                                  Martin Rehm

      ...
MGSoG Young Talent Day 2007
MGSoG Young Talent Day 2007
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MGSoG Young Talent Day 2007

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MGSoG Young Talent Day 2007

  1. 1. Remedial Online Teaching on a Summer Course … and more Martin Rehm MGSoG Young Talent Day 29th November, 2007
  2. 2. Outline • Framework • Online Remedial Teaching Model • Research Questions • Methodology • Results • More Results • Outlook
  3. 3. Framework • Increasing internationalization of enrollment (~ 70% from abroad) •‘ New’ accreditation procedures (Treaty of Bologna) • Differences in prior knowledge • Incentive problems of physical summer course
  4. 4. Online Remedial Teaching Model 1. Online Availability 24/7 (Vrasides & Zembylas, 2003) 2. Adaptive (Falmange et al., 2004) 3. Rapid feedback (Draaijer, 2004, Vrasides & Zembylas, 2003) 4. Interactive (Bryant et al. 2005, Ronteltap & Van der Veen, 2002) 5. Flexible Learning Methods & Assessment (Marshall, 2003, Segers, 2004)
  5. 5. Virtual Learning Environment Feedback Student Interaction Student Fe tiv k e Ad d b bap ac ac e ap ed tiv k Fe e Ad F ee Technology Inte k on Int dbac 24/7 online db cti rac ack era e Fe tion Teacher
  6. 6. Research Questions 1. How can students assess their current level of mastery before joining a (Bachelor’ programme? s) 2. If the level of mastery of an individual student seems too low, how can an online summer course help to tackle this deficiency? 3. How can online summer courses be designed to increase the completion rates of students who enroll to them?
  7. 7. Methodology
  8. 8. Prior Knowledge Test • Diagnostic Test • Self-Assessment • Feedback via email • ~ 70 % of incoming students are below predefined threshold level
  9. 9. Online Course Economics • 6 weeks • 10 –15 hours per week • e-PBL approach • ~ 15 participants per group • Online Course Materials • EleUM (POLARIS) • Checkup Tests (formative) • End Assessment (summative) • Peer Evaluation
  10. 10. Virtual Learning Environment Feedback Student Interaction Student Fe tiv k e Ad d b bap ac ac e ap ed tiv k Fe e Ad F ee Technology Inte k on Int dbac 24/7 online db cti rac ack era e Fe tion Teacher
  11. 11. Results • Pre-Evaluation: – dissatisfied with their level of mastery in economics – appreciated: •online nature of the course •collaborative learning • Passing Rate: – 1st Version: 50 % – OSCE 2007 (MGSoG): 92 % • End Evaluation: – Café-Talk Forum – very good …
  12. 12. More Results (1) 100 95 90 85 80 75 70 65 60 55 50 EconPrior NoEconPrior SC-pass SC-fail Figure 1: Passing rates EcBus (%)
  13. 13. More Results (2) 7,4 7,2 7 6,8 6,6 6,4 6,2 6 5,8 5,6 5,4 EconPrior NoEconPrior SC-pass SC-fail Figure 2: Average grades final exam EcBus (0-10)
  14. 14. More Results (3) • Selection Bias? – if any, it is very small & statistically insignificant è Suggests a true learning effect • Impact of CSCL on the quality of the learning process of novice students? – Based on Schellens & Valcke (2005) – Opposite results (different type of sample)
  15. 15. Outlook 1. Does CSCL have a temporary or structural effect on the (prior) knowledge level and competencies of students? 2. Research is needed on the motivation of participants. 3. More specified and detailed information about the subgroups. Bachelor è Master è Professionals
  16. 16. Social Network Analysis CS CL Macro
  17. 17. Social Network Analysis CS CL Hierarchy A Hierarchy B Mezzo
  18. 18. Social Network Analysis CS CL Type A Type B Micro
  19. 19. Remedial Online Teaching on a Summer Course … and more Martin Rehm MGSoG Young Talent Day 29th November, 2007

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