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Collaboratively generating and critiquing technology-
enhanced concept maps to improve evolution
education
Beat A. Schwendimann, Ph.D.
UC Berkeley/ The University of Sydney
CSCL 2013
Time in the science classroom
is short and precious
On average, 3-10 hours on
evolution (Berkman 2008)
“Evolutionary theory is
probably one
of the most
counterintuitive ideas
the human mind has
encountered, so far.”
Evans (2008)
Repertoire of alternative ideas
Knowledge Integration
Genotype - Phenotype
Genotype Phenotype
?
Knowledge Integration Map (KIM)
TwoTreatment Groups
Generation
Critique
Gene Pool Explorer
Classroom Implementation
9th
/10th
grade science classroom
93 students
5-6 hours
Knowledge Integration Score
Sample question: What changes occur gradually over time in groups of
finches that live in different environments?
KI score Sample answer
No answer 0 None
Off-task 1 I don’t know
Incorrect 2 Finches develop new beaks because they need to adapt to a new
environment.
Partially correct 3 Finches inherit traits from their parents.
Basic correct 4 Finches have differently shaped beaks that give them different
chances to survive natural selection.
Complex correct 5 Natural selection causes those finches with helpful mutations to
their beaks to be more genetically fit and adapt to the
environment better. Therefore, the finches with the beaks
adapted to their environment are more likely to reproduce and
the trait gradually becomes dominant in the group.
Knowledge Integration Gains
Using Normative Evolution Ideas
0=Non-normative ideas; 1=partial; 2=normative ideas
Student Example: Pre-Test
Student Example: Post-Test
KIM cross-link changes
KIM idea “Mutation”
Time spent on KIM tasks
Findings
• KIM critique tasks took only half the
amount of time than the KIM
generation tasks
• Knowledge Integration Maps can elicit and facilitate cross-
connections between genotype and genotype ideas
• Both treatment groups showed similar knowledge
integration pre-posttest gains
Thank you!
schwendimann.org
beat.schwendimann@gmail.com
Questions?

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Collaboratively generating and critiquing technology-enhanced concept maps to improve evolution education

Editor's Notes

  1. Verstaendlich zugaenglich
  2. Evolution ideas are often presented for a short period of time. Berkman {Berkman 2008} surveyed a random sample of 2000 high school science teachers across the U.S. in 2007. Of the 939 who responded, 2% said they did not cover evolution at all, with the majority spending between 3 and 10 classroom hours on the subject of evolution
  3. Intuitions (p-prims) Co-existence of alternative (often contradicting) ideas Knowledge Integration:
  4. Intuitions (p-prims) Co-existence of alternative (often contradicting) ideas Knowledge Integration:
  5. Making connections between genotype and phenotype visible to help students distinguish them. Students need to make decisions (negotiation in dyad): -Where to place it? -Which ones to connect? Which connections are important? -> Experts don ’ t make all 55 possible connections, they make informed decisions.
  6. Both ‘ generation ’ and ‘ critique ’ are generative forms of activities. – Compared to studying a pre-made concept map: Knowledge Maps (Danserau)
  7. 3rd iteration of this project. Design-based. Week-long High school project. 100 9th/10th graders in one bay area school. Real-life case study: Human lactose intolerance Genetic view of evolution (population genetics) Visualization: Use ideas to make predictions
  8. Randomly assigned: Generation group; n=41; critique group; n=52 67% were White, 16% were Hispanic or Latino, 10% were Asian, and 3% were Black.
  9. Eight two-tiered assessment items that consisted of multiple-choice items followed by short essay items that asked students to explain their choice. The alternative options of the multiple choice items were based on known alternative ideas, for example: The idea of “ need ” to explain evolutionary change; Mutations occur to help an individual organism adapt to new situation; Evolution happens to individuals; and Acquired adaptations are inheritable. The items used real-life examples and a variety of contexts, for example human, animal, or plant evolution. Several items were based on biology content inventories Three short essay items Two KIM critique tasks + One KIM generation task
  10. KI 0 or 1 or 2 = 0 (All non-Darwinian); KI 3 = 1 (partial); KI 4 or 5 = 2 (All Darwinian) The score for normative evolution ideas is a composite of the explanation items 1, 5, 6, and 9 [See appendix chapter 6: study 3]
  11. INDICATOR idea “Mutation” and “Natural Selection” -> Network analysis: Prominence score + cross-link frequency
  12. Students in both KIM task groups spent about the same average amount of time on the pretest KIM (14 minutes) and posttest KIM (13 minutes) (see table 3). Both groups showed equal KIM posttest performance, but the critique group was significantly more time-efficient in the embedded KIM activities. Student dyads in the critique group were significantly faster on the embedded KIM activities than the generation group, p<0.05. (t(27)=2.72, p=0.01. These results indicate that the KIM critique tasks were more time efficient than the KIM generation tasks while leading to the same KIM posttest performance. Table 3: Time spent on KIM tasks. In Minutes Generation Group Mean Critique Group Mean Total Mean (Median) KIM 1 (Genotype) 11.94 6.55 9.03 (8) KIM 2 (Phenotype) 8.62 5.39 6.54 (4) Pretest 14.95 13.39 14.12 (16) Posttest 13.65 13.06 13.35 (12.5)
  13. DISCUSSION: WHY critique faster than generation? -Fewer ideas need to be reflected on: Only selection -Easier to revise existing connections than generating from scratch Alternative ideas should be directly addressed. Human evolution can be used as a pivotal case for evolution instruction Knowledge Integration Maps can elicit cross-connections between genotype and genotype ideas Critiquing or generation Knowledge Integration Maps can both support students ’ knowledge integration