Literature DB >> 33383709

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

Daniel Amo1, Paul Fox2, David Fonseca3, César Poyatos4.   

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.

Entities:  

Keywords:  PRISMA methodology; STE(A)M; educational robotics; learning analytics; primary and secondary education; robotic sensors; systematic review

Mesh:

Year:  2020        PMID: 33383709      PMCID: PMC7794915          DOI: 10.3390/s21010153

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  7 in total

1.  Improving the Quality of Reports of Meta-Analyses of Randomised Controlled Trials: The QUOROM Statement.

Authors:  D. Moher; D.J. Cook; S. Eastwood; I. Olkin; D. Rennie; D.F. Stroup
Journal:  Onkologie       Date:  2000-12

2.  When high achievers and low achievers work in the same group: the roles of group heterogeneity and processes in project-based learning.

Authors:  Rebecca Wing-yi Cheng; Shui-fong Lam; Joanne Chung-yan Chan
Journal:  Br J Educ Psychol       Date:  2007-06-21

3.  Artificial Intelligence and the 'Good Society': the US, EU, and UK approach.

Authors:  Corinne Cath; Sandra Wachter; Brent Mittelstadt; Mariarosaria Taddeo; Luciano Floridi
Journal:  Sci Eng Ethics       Date:  2017-03-28       Impact factor: 3.525

4.  EUROPA: A Case Study for Teaching Sensors, Data Acquisition and Robotics via a ROS-Based Educational Robot.

Authors:  Georgios Karalekas; Stavros Vologiannidis; John Kalomiros
Journal:  Sensors (Basel)       Date:  2020-04-27       Impact factor: 3.576

5.  Ethical and Social Aspects of Neurorobotics.

Authors:  Christine Aicardi; Simisola Akintoye; B Tyr Fothergill; Manuel Guerrero; Gudrun Klinker; William Knight; Lars Klüver; Yannick Morel; Fabrice O Morin; Bernd Carsten Stahl; Inga Ulnicane
Journal:  Sci Eng Ethics       Date:  2020-10       Impact factor: 3.525

6.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

7.  Neurorobotics Workshop for High School Students Promotes Competence and Confidence in Computational Neuroscience.

Authors:  Christopher A Harris; Lucia Guerri; Stanislav Mircic; Zachary Reining; Marcio Amorim; Ðorđe Jović; William Wallace; Jennifer DeBoer; Gregory J Gage
Journal:  Front Neurorobot       Date:  2020-02-13       Impact factor: 2.650

  7 in total
  2 in total

1.  Computational Thinking and Educational Robotics Integrated into Project-Based Learning.

Authors:  Albert Valls Pou; Xavi Canaleta; David Fonseca
Journal:  Sensors (Basel)       Date:  2022-05-14       Impact factor: 3.847

2.  VirtualCPR: Virtual Reality Mobile Application for Training in Cardiopulmonary Resuscitation Techniques.

Authors:  Francisco Javier García Fierros; Jesús Jaime Moreno Escobar; Gabriel Sepúlveda Cervantes; Oswaldo Morales Matamoros; Ricardo Tejeida Padilla
Journal:  Sensors (Basel)       Date:  2021-04-03       Impact factor: 3.576

  2 in total

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