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EPISTEMIC CONCERNS ON
STUDENTS’ USE OF ARGUMENTS
ON PSEUDOSCIENCES
Jordi Domènech-Casal, Carolina Sepúlveda, Anna Marbà-Tallada
Universitat Autònoma de Barcelona (UAB)
Introduction
Nature of
Science
(NOS) [3]
Epistemic
dimension of
Scientific
Competence [1]
Epistemic
Cognition [2]
Argumentation
[4]
Sci-tizenship
Pseudosciences
[1] OECD
[2] Kolsto
[3] Lederman
[4] Jiménez-Aleixandre
Introduction
Positioning on
Pseudosciences
Ability to identify Kinds
of Arguments
Giving weight to kinds of
Arguments
Which should be the didactic strategy to modify student’s
positioning on Pseudosciences?
Introduction
• MINECO (2016). Pseudosciences and
Tecnophobia are supported by more than half
of the population (Homeopathy,
Acupuncture...). Increased in women (gender
bias), young and high academic level.
• Pseudosciences positioning might be
dependent not only on argumentation or
epistemic skills.
Goals
1) Which are students’ preferences/abilities to
identify and weight different types of
arguments?
2) Are there gender differences in these
preferences?
3) Which is the relationship between argument
preferences and positioning on pseudoscientific
proposals?
Methodology
(Different kinds of arguments where identified in this activity)
35, 14 years-old students (19 male and 16 female students)
Positioning on Pseudosciences
Likert survey asking how much certainty (1 10) they gave
to several propositions related to Pseudosciences and
Technofobia.
Data collected and analyzed grouped by gender.
Methodology
Model
Authority
Data
Habits
Argument Identification and Weighting
“This is not the
case, because
Plate Tectonics,...”
“Doctors says,...”
“Study shows that
un 60% of
cases,...”
“This is a
traditional
technique...”
Methodology (Activity)
Acupuncture
Homeopathy
Vaccines
Reading Prepared texts with
different kinds of arguments.
Identifying and Weighting
Arguments
1month1month
Data
collected
and
analyzed
grouped
by gender.
Methodology (Scaffolds)
Favour Argument Against
“Presenting the antigen to the immune system
elicits a stronguer immunologic response” (3)
Model
Authority
“The graph of incidence of infectious illnesses
shows correspondence with vaccination
campaigns”(2)
Data “A case of severe reaction to a vaccine was
reported in…”(1)
Habits “Humanity has overcome illness through
centuries with no need from vaccines” (1)
“Argument
Scale”
Methodology (Data collection and
analysis)
Vaccines
• Total number of correctly
identified arguments
• Total weight for each kind of
argument.
Homeopathy
• Total number of correctly
identified arguments
• Total weight for each kind of
argument.
Mean
values
calculated
by genders
Mean
values
calculated
by genders
Results
Positioning on
Pseudosciences
and Technophobia
Slight, but visible
differences on
Pseudosciences end
Technophobia
positioning
Homeopathy
Acupuncture
Horoscope
Vaccines Transgenics
AI
Wi-Fi
0
5
10
Male Students
Female Students
*Horoscope & Vaccines
Model
Authority
Data
Habits0
1
2
Argument Identification
Vaccines Male Students
Vaccines Female Students
Homeopathy Male Students
Homeopathy Female Students
*Authority Vaccines
Argument
Identification
Similar results not
depending on gender
or topic
Results
ResultsModel
Authority
Data
Habits0
2
4
Argument Weigth
Vaccines Male Students
Vaccines Female Students
Homeopathy Male Students
Homeopathy Female Students
*Homeopathy Model
Argument Weighting
Similar results not
depending on gender
or topic
Results
Conclusions
1) Arguments Identification and Weighting do
not depend on topic or gender.
2) Small gender differences on positioning on
Pseudosciences or Technophobia.
3) Apparently, these differences would not
come from differences on Argumentation
abilities measured.
Positioning on
Pseudosciences
Ability to identify Kinds
of Arguments
Giving weight to kinds of
Arguments
Conclusions
“Science Exclusion”
Autoperception
Gender-association of
positioning on
Pseudosciences and STEM
would be a deflection
(secondary association) from
a main parameter: “Science
exclusion” auto-perception,
regardless of the gender.
STEM
Careers
Preliminary work.
• Science-Exclusion, Positioning on Pseudosciences, Ability to Identify and Weight Arguments.
• Correlations at individual level and ways to promote change.
EPISTEMIC CONCERNS ON
STUDENTS’ USE OF ARGUMENTS
ON PSEUDOSCIENCES
Jordi Domènech-Casal, Carolina Sepúlveda, Anna Marbà-Tallada
Universitat Autònoma de Barcelona (UAB)
This presentation and materials at: https://wp.me/p25seH-E1
This research was funded by the Spanish Government (grant
number EDU2015-66643-C2-1-P) and carried out within the
ACELEC research group, aknowledged by the Catalan
Government (grant number 2017SGR1399).

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Students' Arguments on Pseudosciences

  • 1. EPISTEMIC CONCERNS ON STUDENTS’ USE OF ARGUMENTS ON PSEUDOSCIENCES Jordi Domènech-Casal, Carolina Sepúlveda, Anna Marbà-Tallada Universitat Autònoma de Barcelona (UAB)
  • 2. Introduction Nature of Science (NOS) [3] Epistemic dimension of Scientific Competence [1] Epistemic Cognition [2] Argumentation [4] Sci-tizenship Pseudosciences [1] OECD [2] Kolsto [3] Lederman [4] Jiménez-Aleixandre
  • 3. Introduction Positioning on Pseudosciences Ability to identify Kinds of Arguments Giving weight to kinds of Arguments Which should be the didactic strategy to modify student’s positioning on Pseudosciences?
  • 4. Introduction • MINECO (2016). Pseudosciences and Tecnophobia are supported by more than half of the population (Homeopathy, Acupuncture...). Increased in women (gender bias), young and high academic level. • Pseudosciences positioning might be dependent not only on argumentation or epistemic skills.
  • 5. Goals 1) Which are students’ preferences/abilities to identify and weight different types of arguments? 2) Are there gender differences in these preferences? 3) Which is the relationship between argument preferences and positioning on pseudoscientific proposals?
  • 6. Methodology (Different kinds of arguments where identified in this activity) 35, 14 years-old students (19 male and 16 female students) Positioning on Pseudosciences Likert survey asking how much certainty (1 10) they gave to several propositions related to Pseudosciences and Technofobia. Data collected and analyzed grouped by gender.
  • 7. Methodology Model Authority Data Habits Argument Identification and Weighting “This is not the case, because Plate Tectonics,...” “Doctors says,...” “Study shows that un 60% of cases,...” “This is a traditional technique...”
  • 8. Methodology (Activity) Acupuncture Homeopathy Vaccines Reading Prepared texts with different kinds of arguments. Identifying and Weighting Arguments 1month1month Data collected and analyzed grouped by gender.
  • 9. Methodology (Scaffolds) Favour Argument Against “Presenting the antigen to the immune system elicits a stronguer immunologic response” (3) Model Authority “The graph of incidence of infectious illnesses shows correspondence with vaccination campaigns”(2) Data “A case of severe reaction to a vaccine was reported in…”(1) Habits “Humanity has overcome illness through centuries with no need from vaccines” (1) “Argument Scale”
  • 10. Methodology (Data collection and analysis) Vaccines • Total number of correctly identified arguments • Total weight for each kind of argument. Homeopathy • Total number of correctly identified arguments • Total weight for each kind of argument. Mean values calculated by genders Mean values calculated by genders
  • 11. Results Positioning on Pseudosciences and Technophobia Slight, but visible differences on Pseudosciences end Technophobia positioning Homeopathy Acupuncture Horoscope Vaccines Transgenics AI Wi-Fi 0 5 10 Male Students Female Students *Horoscope & Vaccines
  • 12. Model Authority Data Habits0 1 2 Argument Identification Vaccines Male Students Vaccines Female Students Homeopathy Male Students Homeopathy Female Students *Authority Vaccines Argument Identification Similar results not depending on gender or topic Results
  • 13. ResultsModel Authority Data Habits0 2 4 Argument Weigth Vaccines Male Students Vaccines Female Students Homeopathy Male Students Homeopathy Female Students *Homeopathy Model Argument Weighting Similar results not depending on gender or topic Results
  • 14. Conclusions 1) Arguments Identification and Weighting do not depend on topic or gender. 2) Small gender differences on positioning on Pseudosciences or Technophobia. 3) Apparently, these differences would not come from differences on Argumentation abilities measured.
  • 15. Positioning on Pseudosciences Ability to identify Kinds of Arguments Giving weight to kinds of Arguments Conclusions “Science Exclusion” Autoperception Gender-association of positioning on Pseudosciences and STEM would be a deflection (secondary association) from a main parameter: “Science exclusion” auto-perception, regardless of the gender. STEM Careers Preliminary work. • Science-Exclusion, Positioning on Pseudosciences, Ability to Identify and Weight Arguments. • Correlations at individual level and ways to promote change.
  • 16. EPISTEMIC CONCERNS ON STUDENTS’ USE OF ARGUMENTS ON PSEUDOSCIENCES Jordi Domènech-Casal, Carolina Sepúlveda, Anna Marbà-Tallada Universitat Autònoma de Barcelona (UAB) This presentation and materials at: https://wp.me/p25seH-E1 This research was funded by the Spanish Government (grant number EDU2015-66643-C2-1-P) and carried out within the ACELEC research group, aknowledged by the Catalan Government (grant number 2017SGR1399).