A project and competition to design and build a simple heat exchanger by 2X0Z9Gt

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									 The use of virtual learning environments to aid
 teaching of heat transfer and Artificial Neural
 Network modelling in Bioprocess Engineering




Brian Freeland, Sumsun Naher, Greg Foley
           & Dermot Brabazon*


                    EDTech, 2009                   1
Presentation
 Main issues:
     Student learning styles.
     New practical aims.
     Implementation.




                        EDTech, 2009   2
Background
 BSc Biotechnology
 60% Biological sciences
  (microbiology, biochemistry, cell          Bioprocessing
  biology, immunology and                    Engineering   Biological
  genetics)                                                Sciences
 40% Bioprocess engineering,
  mathematics and chemistry



 Aim: equip students for industry




                              EDTech, 2009                              3
Teaching Methods Evaluation
 2nd years:
      Mostly lectures.
      3 hours per week labs, semester 2.
      Year long heat transfer project.
 3rd years:
      Lectures.
      Lot of labs.
      2 full days per week, semester 2.


                         EDTech, 2009       4
                        Student Learning Styles Evaluation
                                            Sequential/Global Learning styles                                                                                             Visual/Verbal Learning styles

              12                                                                                                120.00%                 8                                                                                                   120.00%

                                                                                                                                        7
              10                                                                                                100.00%                                                                                                                     100.00%
                                                                                                                                        6
              8                                                                                                 80.00%                                                                                                                      80.00%
                                                                                                                                        5




                                                                                                                          Frequency
Frequency




              6                                                                                                 60.00%                  4                                                                                                   60.00%

                                                                                                                                        3
              4                                                                                                 40.00%                                                                                                                      40.00%
                                                                                                                                        2
              2                                                                                                 20.00%                                                                                                                      20.00%
                                                                                                                                        1

              0                                                                                                 0.00%                   0                                                                                                   0.00%
                     Balanced        Mod. Sequential Strongly Sequential Moderate Global      Strongly Global                               Moderate Visual    Strongly Visual     Balanced        Moderate Verbal    Strongly Verbal


                                             Active/Reflective Learning styles                                                                                          Sensing/Intuitive Learning styles

              12                                                                                                120.00%                 8                                                                                                   120.00%

                                                                                                                                        7
              10                                                                                                100.00%                                                                                                                     100.00%
                                                                                                                                        6
               8                                                                                                80.00%                                                                                                                      80.00%
  Frequency




                                                                                                                                        5



                                                                                                                            Frequency
               6                                                                                                60.00%                  4                                                                                                   60.00%

               4                                                                                                40.00%                  3
                                                                                                                                                                                                                                            40.00%
                                                                                                                                        2
               2                                                                                                20.00%                                                                                                                      20.00%
                                                                                                                                        1
               0                                                                                                0.00%                   0                                                                                                   0.00%
                   Moderate Active      Balanced     Moderate ReflectiveStrongly Reflective   Strongly Active                               Moderate Sensing      Balanced       Strongly Sensing Moderate Intuitive Strongly Intuitive




                                                        Felder survey – 80% of Biotechnology class.
                                                                                                                   EDTech, 2009                                                                                                         5
Learning Conclusions
 Lab practical's appropriate for students.
 Should offer information in a sequential
  manner.
 Should allow students a lot of input into the
  practical.
 There should be a lot of visual aids.
      Graphs, charts etc.



                         EDTech, 2009             6
     Third year existing lab practicals
 Pilot plant – lab manual based.
 Intensive demonstrator involvement.
 No “hand on” bio processing equipment experience.
 Little computer interaction.
 No visual teaching technique.
 Large data collection time.




                                 EDTech, 2009         7
Research In Biotechnology
 Bioreactor most important process equipment.
 Grow cells, cultures, chemical reactions etc.
 Proper knowledge of heat transfer important:
     Accurate temp control important.
    Process monitoring (growth, mass transfer
      etc).
 Artificial Neural Networks
    New heat transfer research area.
    TRAJAN simulation software.

                                                                           c
                                                                    
                                                  Nu  C Rea Pr b     
                                                                   w 

                              EDTech, 2009                          8
    New Practical Aims
    Apply a virtual learning environment (VLE) to:
    Teach a complicated subject matter - ANN
        Allow student interaction with Industrial specification equipment.
        Offer an inclusive teaching style.
        Offer a new method of teaching.
        Reduce demonstrator workload.

    VLE implementation aims:
        Visual based.
        Interactive.
        Global & sequential info.
        Safe – machine control.



                                     EDTech, 2009                             9
Lab structure
 Full day.
 1 group per week.
 Run over full semester.
 Labview user interface:
    Leads lab.
    Reduced demonstrator workload.

 Lab manual.
    ANN development, “step by step”

 Student workbook.
 No report required!

                         EDTech, 2009   10
    Implementation
 Integration with bioreactor
 Student interaction- Pc & rig




                          EDTech, 2009   11
 Implementation
Labview –programming environment
Easy integration
Cost effective DAQ devices
NI 6008 - €140
                                                              Solenoid
                                                               Valves
                                                                              Flowmeter




                                                                                          Thermocouples




                                                                                              Rotary Encoder


                    User input & Labview Program              Multi Function DAq


                                               EDTech, 2009                                        12
Main page




            EDTech, 2009   13
Theory pages




               EDTech, 2009   14
Machine operation
 Machine Setup: Sequential




                    EDTech, 2009   15
    Machine operation
 Data collection screens.
   Mimic industry interface.




                                EDTech, 2009   16
    Machine operation
 Data Analysis screens.




                           EDTech, 2009   17
  User interface code

 Straight
  forward
  code

 Easier than
  VB, html
  etc




                 EDTech, 2009   18
Data Acquisition Code




              EDTech, 2009   19
Student Results
 Reduced demonstrator’s workload.
 Offered concise instruction.
 Utilised a hi-tech teaching approach.
 Increased student interest.
 Successfully conveyed complicated subject
  matter.
     Mean student mark: 66 %



                      EDTech, 2009            20
 End
 Thank you!




        EDTech, 2009   21

								
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