Evidence map›Paper›PMID 25688028›Full record

ArticleScience and engineering ethics2016

Connecting Past with Present: A Mixed-Methods Science Ethics Course and its Evaluation.

Ioanna Semendeferi, Panagiotis Tsiamyrtzis, Malcolm Dcosta, Ioannis Pavlidis

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In one paragraph

Article in Science and engineering ethics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ioanna SemendeferiDepartment of Physics, University of Houston, TIMES, 373 Health and Biomedical Sciences Center (HBSC), Houston, TX, 77204-6022, USA. isemendeferi@uh.edu.
Panagiotis TsiamyrtzisDepartment of Statistics, Athens University of Economics and Business, 76 Patission St., 10434, Athens, Greece. pt@aueb.gr.
Malcolm DcostaComputational Physiology Laboratory, University of Houston, TIMES, 373 Health and Biomedical Sciences Center (HBSC), Houston, TX, 77204-6022, USA. mtdcosta2@uh.edu.
Ioannis PavlidisComputational Physiology Laboratory, University of Houston, TIMES, 373 Health and Biomedical Sciences Center (HBSC), Houston, TX, 77204-6022, USA. ipavlidis@uh.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a graduate science ethics course that connects cases from the historical record to present realities and practices in the areas of social responsibility, authorship, and human/animal experimentation. This content is delivered with mixed methods, including films, debates, blogging, and practicum; even the instructional team is mixed, including a historian of science and a research scientist. What really unites all of the course's components is the experiential aspect: from acting in historical debates to participating in the current scientific enterprise. The course aims to change the students' culture into one deeply devoted to the science ethics cause. To measure the sought after cultural change, we developed and validated a relevant questionnaire. Results of this questionnaire from students who took the course, demonstrate that the course had the intended effect on them. Furthermore, results of this questionnaire from controls indicate the need for cultural change in that cohort. All these quantitative results are reinforced by qualitative outcomes.

Indexed as

CurriculumEducation, GraduateCultureEthics, ResearchHumansProblem-Based LearningScienceSocial ResponsibilityStudentsSurveys and QuestionnairesCultural transformationEmotionsHistory of scienceMoral motivationMoral sensitivityQuestionnaireScience cultureScience ethicsScience ethics course

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.