Evidence map›Paper›PMID 33383709›Full record

SynthesisSensors (Basel, Switzerland)2020

Systematic Review on Which Analytics and Learning Methodologies Are Applied in Primary and Secondary Education in the Learning of Robotics Sensors.

Daniel Amo, Paul Fox, David Fonseca, César Poyatos

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
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

2 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Sensors (Basel, Switzerland) · 2021
    Article
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 at 2 institutions in 1 country.

Daniel AmoGroup of Research GRETEL, Engineering Department, La Salle, Ramon Llull University, 08022 Barcelona, Spain.
Paul FoxGroup of Research GRETEL, Management Department, La Salle, Ramon Llull University, 08022 Barcelona, Spain.ORCID 0000-0002-9610-954X
David FonsecaGroup of Research GRETEL, Architecture Department, La Salle, Ramon Llull University, 08022 Barcelona, Spain.ORCID 0000-0001-9471-153X
César PoyatosGroup of Research EDI, Didactics and Theory of Education Department, Autonomous University of Madrid, 28049 Madrid, Spain.ORCID 0000-0003-0631-5102
Universitat Ramon Llull · ESUniversidad Autónoma de Madrid · ES

Funding

Secretaria d'Universitats i Recerca of the Department of Business and Knowledge of the Generalitat de Catalunya 2017 SGR 934
6 · The paper itself

Abstract

Robotics technology has become increasingly common both for businesses and for private citizens. Primary and secondary schools, as a mirror of societal evolution, have increasingly integrated science, technology, engineering and math concepts into their curricula. Our research questions are: "In teaching robotics to primary and secondary school students, which pedagogical-methodological interventions result in better understanding and knowledge in the use of sensors in educational robotics?", and "In teaching robotics to primary and secondary school students, which analytical methods related to Learning Analytics processes are proposed to analyze and reflect on students' behavior in their learning of concepts and skills of sensors in educational robotics?". To answer these questions, we have carried out a systematic review of the literature in the Web of Science and Scopus databases regarding robotics sensors in primary and secondary education, and Learning Analytics processes. We applied PRISMA methodology and reviewed a total of 24 articles. The results show a consensus about the use of the Learning by Doing and Project-Based Learning methodologies, including their different variations, as the most common methodology for achieving optimal engagement, motivation and performance in students' learning. Finally, future lines of research are identified from this study.

Indexed as

RoboticsSchoolsBiosensing TechniquesHumansLearningMotivationStudentseducational roboticslearning analyticsprimary and secondary educationPRISMA methodologyrobotic sensorsSTE(A)Msystematic review

Identifiers

PMID33383709
PMCPMC7794915
OpenAlexW3116747613

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.