Evidence map›Paper›PMID 34222352›Full record

ArticleFrontiers in robotics and AI2021

Educational Robotics and Robot Creativity: An Interdisciplinary Dialogue.

Alla Gubenko, Christiane Kirsch, Jan Nicola Smilek, Todd Lubart, Claude Houssemand

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
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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

5 authors.

Alla GubenkoDepartement of Education and Social Work, Institute for Lifelong Learning and Guidance, Luxembourg, Luxembourg.
Christiane KirschDepartement of Education and Social Work, Institute for Lifelong Learning and Guidance, Luxembourg, Luxembourg.
Jan Nicola SmilekDepartement of Education and Social Work, Institute for Lifelong Learning and Guidance, Luxembourg, Luxembourg.
Todd LubartUniversité de Paris et Université Gustave Eiffel, LaPEA, Boulogne-Billancourt, France.
Claude HoussemandDepartement of Education and Social Work, Institute for Lifelong Learning and Guidance, Luxembourg, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a growing literature concerning robotics and creativity. Although some authors claim that robotics in classrooms may be a promising new tool to address the creativity crisis in school, we often face a lack of theoretical development of the concept of creativity and the mechanisms involved. In this article, we will first provide an overview of existing research using educational robotics to foster creativity. We show that in this line of work the exact mechanisms promoted by robotics activities are rarely discussed. We use a confluence model of creativity to account for the positive effect of designing and coding robots on students' creative output. We focus on the cognitive components of the process of constructing and programming robots within the context of existing models of creative cognition. We address as well the question of the role of meta-reasoning and emergent strategies in the creative process. Then, in the second part of the article, we discuss how the notion of creativity applies to robots themselves in terms of the creative processes that can be embodied in these artificial agents. Ultimately, we argue that considering how robots and humans deal with novelty and solve open-ended tasks could help us to understand better some aspects of the essence of creativity.

Indexed as

cognitioncreative roboticseducational roboticsembodied creativityhuman creativityhuman-robot collaborationmachine learning

Identifiers

PMID34222352
PMCPMC8241918

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.