IB DP Bio Lab cover sheet

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Lab cover sheet can be used as a marking rubric and student self-assessment tool for IB DP Bio labs

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IB DP Bio Lab cover sheet

  1. 1.  Internal  Assessment  Coversheet   Session:    Student  Name:     Candidate  Number:     SL/HL      Investigation  title:    Syllabus  topic(s):        Teacher’s  Instructions  and  help  given:        Candidate  declaration:    “I  confirm  that  this  work  is  my  own  work  and  is  the  final  version.  I  have  acknowledged  each  use  of  the  words  or  ideas  of  another  person,  whether  written,  oral  or  visual.”    Signed:   Date:         Type  your  name  on  the  line  above.            Teacher’s  Feedback:   Design   Data  Collection  and  Processing   Conclusion  and  Evaluation                              Stephen  Taylor  (i-­‐biology.net)     modified  by  Chris  Paine  (bioknowledgy.wikispaces.com)  
  2. 2.   Design           Complete  /  2   Partial  /  1   Not  at  all  /  0   Formulates  a  focused   Formulates  a   Does  not  identify  a  problem/   Define  problem   problem/  research  question   problem/research  question   research  question  AND  does   &  select   A   variables   and  identifies  the  relevant   that  is  incomplete  or  identifies   not  identify  any  relevant   variables.     only  some  relevant  variables.     variables.     S   P   Designs  a  method  for  the   Designs  a  method  that  makes   Controlling     Designs  a  method  that  does   effective  control  of  the   some  attempt  to  control  the   E   variables   variables.     variables.     not  control  the  variables.     C   Developing  a   Develops  a  method  that  allows   Develops  a  method  that  allows   Develops  a  method  that  does   T   method  for     for  the  collection  of  sufficient   for  the  collection  of   not  allow  for  any  relevant  data   collection  of   relevant  data.     insufficient  relevant  data.     to  be  collected.     data     Marking  Checklist:   C  =  complete  &  correct   P  =  incomplete   N  =  incorrect  or  not  attempted     Aspect  1:  Define  the  problem  and  select  the  variables   D1.1   Research  Question    or  Aim  clearly  stated       D1.5   If  a  hypothesis  is  very  helpful:     D1.2   IV  correctly  identified  with  units/  range       □ It  is  quantitative   □ A  sketch  graph  is  included,  with   D1.3   DV  (as  directly  recorded)  correctly  identified       explanation   with  units.  Statement  made  if  further   □ Prediction  is  explained  using   calculations  need  to  be  performed  on  DV.   scientific  theory   □ Sources  are  cited   D1.4   Include  background  to  investigation  and/or       D1.6   Important  control  variables  identified  and     refer  to  preliminary  investigations.   presented  as  table.   Aspect  2:  Controlling  variables   D2.1   Method  to  manipulate  IV,  including  specific       D2.5   Discuss  the  likely  impact  of  each  control     details  of  range  or  increments   variable.     D2.2   Method  for  recording  results,  including  units       D2.6   Potential  impact  of  each  variable  on  results    Design   and  uncertainty  of  tools  (±  ____  )   has  been  addressed.   D2.3   List  of  apparatus  including  sizes  and       D2.7   Specific  method  to  keep  each  controlled     uncertainty.  Better  add  an  annotated  photo   variable  constant  has  been  explained  clearly.   or  diagram  of  equipment  or  experimental   This  includes  values  of  each  controlled   set-­‐up.   variable  and  equipment  used  to  ensure  or   D2.4   Full  citation  of  published  protocol,  if  used       measure  these  values.     (or  elements  thereof)   Aspect  3:  Developing  a  method  for  collection  of  sufficient  relevant  data   (D3.5  –  D3.7  only  considered  if  DCP  not  marked)   D3.1   Min.  5  increments  (or  2  if  comparing       D3.5   Choice  of  data  presentation  method  (chart     means)  over  a  suitable  range  for  the  IV   or  graph  type)  stated  and  explained.     (unless  comparing  populations)   D3.2   Min.  5  repeats  (or  10  if  comparing  means)       D3.6   Explain  how  raw  data  will  be  transformed     at  each  increment  to  ensure  reliability  and   into  processed  data  for  comparison/  plotting   allow  for  stats.   D3.3   Range  of  IV  stated  and  explanation  of  how       D3.7   Choice  of  statistical  test  stated  and     this  range  was  chosen  (refer  D1.4).     explained.     D3.4   Method  clearly,  specific  and  easily       D3.8   Safety/  ethics  concerns  addressed,  including     replicated  by  the  reader,  if  desired.     animal  experimentation  policy.                      Stephen  Taylor  (i-­‐biology.net)     modified  by  Chris  Paine  (bioknowledgy.wikispaces.com)  
  3. 3.   Data  Collection  and  Processing           Complete  /  2   Partial  /  1   Not  at  all  /  0   Records  appropriate   Records  appropriate   Does  not  record  any   quantitative  data  and   Recording  raw   quantitative  and  associated   appropriate  quantitative  raw   associated  qualitative  raw   data   qualitative  raw  data,  but  with   data  OR  raw  data  is   data,  including  units  and   A   some  mistakes  or  omissions.       incomprehensible.     uncertainties  where  relevant.     S   P   Processes  quantitative  raw   No  processing  of  raw  data  is   Processing     Processes  the  quantitative  raw   E   data,  but  with  some  mistakes   carried  out  OR  major  mistakes   raw  data   data  correctly.     C   and/  or  omissions.     are  made  in  processing.     T   Presents  processed  data   Presenting   Presents  processed  data   Presents  processed  data   appropriately  and,  where   processed     appropriately,  but  with  some   inappropriately  OR   relevant,  includes  errors  and   data   mistakes  and/or  omissions.     incomprehensibly.     uncertainties.       Aspect  1:  Recording  Raw  Data   DCP1.1   Most  labs  provide  opportunities  for       DCP1.5   Decimal  points  consistent  throughout     Associated  qualitative  data  (observations).   DCP1.2   Units  of  IV  and  DV  present  and  correct.       DCP1.6   Decimal  points  consistent  with  precision     Absent  or  incorrect  leads  to  zero  awarded.   of  the  measuring  equipment  Data  Collection  and  Processing   DCP1.3   Uncertainties  correct  (±  __  )       DCP1.7   Raw  data  clearly  distinguished  from     processed  data  (possibly  separate  table)   DCP1.4   All  data  are  recorded  correctly  and       honestly   Aspect  2:  Processing  Raw  Data   DCP2.1   Calculations  to  determine  DV  carried  out,  if       DCP2.5   Standard  deviations  included  where     necessary   appropriate,  to  appropriate  decimal   places   DCP2.2   Calculations  or  statistical  tests  appropriate       DCP2.6   Uncertainties  adjusted/removed  to  reflect     to  investigation  and  address  RQ   any  calculations  carried  out.   DCP2.3   Mathematics  correctly  applied       DCP2.7   Processed  data  (and  decimal  places)     consistent  with  precision  of  recorded  data   DCP2.4   Formula  (or  excel  equivalent)  stated.             Better  worked  examples  given.   Aspect  3:  Presenting  Processed  Data   DCP3.1   Titles  self-­‐explanatory  and  complete       DCP3.7   Error  bars  included,  unless  insignificant     DCP3.2   Consistent  decimal  places       DCP3.8   Error  bar  source  (e.g.  standard  deviation)     stated  and  s.d.  data  are  correct   DCP3.3   Uncertainties/  errors  included       DCP3.9   Appropriate  best-­‐fit  curve  should  be     present  unless  comparing  means   DCP3.4   Appropriate  choice  of  graph       DCP3.10   Tables  &  graphs  do  not  break  across  pages     DCP3.5   Axes  labeled  clearly,  including  metric/  SI       DCP3.11   Effective  use  of  space  leads  to  clarity  of     units  and  uncertainties  of  values   presentation   DCP3.6   Axes  scaled  appropriately       DCP3.12   Graphs  clear,  colouring  appropriate                        Stephen  Taylor  (i-­‐biology.net)     modified  by  Chris  Paine  (bioknowledgy.wikispaces.com)  
  4. 4.  Conclusion  and  Evaluation             Complete  /  2   Partial  /  1   Not  at  all  /  0   States  a  conclusion  with   States  no  conclusion  OR  the   States  a  conclusion  based  on   justification,  based  on   conclusion  is  based  on  an   Concluding   a  reasonable  interpretation  of   reasonable  interpretation  of   unreasonable  interpretation   A   the  data.   the  data.   of  the  data.     S   Identifies  some  weaknesses   P   Evaluating         Evaluates  weaknesses  and   and  limitations,  but  the   Identifies  irrelevant   E   procedures   limitations.     weaknesses  and  limitations.     evaluation  is  weak  or  missing.     C   Suggests  realistic   T   Improving  the   improvements  in  respect  of   Suggests  only  superficial   Suggests  unrealistic   investigation   identified  weaknesses  and   improvements.     improvements.     limitations.       Aspect  1:  Concluding   CE1.1   Patterns  and  trends  in  data  stated,  with       CE1.5   Associated  qualitative  data  add  value  to     reference  to  the  graph/  tables.   explanations.   CE1.2   Comparisons  made  within  the  dataset.       CE1.6   Appropriate  language  used  “Supports  my     How  does  the  variation  at  one  point   hypothesis”  (not  ‘proves’  or  ‘is  correct’)   compare  with  others?  If  present   CE1.7   Data  related  to  hypothesis  or  RQ,  the  level  of     anomalous  data  identified  and  impact   support  does  the  hypothesis  have;  strong,   assessed.   weak,  no  support,  or  inconclusive?   Conclusion  and  Evaluation   CE1.3   Comparison  with  published  data  and     CE1.8   Suggestions  for  further  investigation  stated.     theoretical  texts,  if  possible.   CE1.4   Scientific  explanation  for  results,  with       CE1.9   Sources  cited  appropriately     justification   Aspect  2:  Evaluating  procedures  (All  of  the  following  evaluated  in  terms  of  possible  effect  on  data  and  magnitude  of   error.  Could  be  clearly  presented  as  a  table.)   CE2.1   Reference  to  error  bars  (or  STDEV)  with       CE2.4   Associated  qualitative  data  referred  to  where     regard  to  variability  of  results  and  validity   appropriate.     of  conclusions.  Do  you  need  to  repeat  the     CE2.5   Random  biological  variation     measurements  or  increase  sample  size?   This  maybe  covered  in  the  conclusion.   CE2.2   Analysis  of  appropriateness  of  the       CE2.6   Measurement/  instrument  errors     range/increments  of  IV  values  with  regard   CE2.7   Systematic  errors  (problems  with  method)       to  the  aim/  RQ.  This  maybe  covered  in  the   conclusion.   CE2.3   Analysis  of  sufficiency  of  data,  is  the  way       CE2.8   All  other  limitations  relevant  to  the     the  DV  is  measured  producing  results  or   investigation   does  it  need  to  be  changed?   Time  management  or  human  error  may  be  mentioned,  though  these  are  not  scientific  errors  –  they  should  be  eliminated  with  effective   Manipulative  Skills.  The  focus  here  should  be  on  the  investigation.     Aspect  3:  Improving  the  investigation   Improvements  for  the  limitations  or  sources  of  error  above:   CE3.1   Are  the  improvements  appropriate  and       CE3.3   Are  specific  (e.g.  equipment  named)  and  clearly     related  to  the  RQ/Hypothesis   explained   CE3.2   Addresses  all  the  areas  of  weakness       CE3.4   Are  cited  where  improvements  relate  to     identified  in  aspect  2   published  protocols  or  techniques                    Stephen  Taylor  (i-­‐biology.net)     modified  by  Chris  Paine  (bioknowledgy.wikispaces.com)  

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