Towards a Definition of Educational Robotics: A Classification of Tools, Experiences and Assessments

Scaradozzi, David; Screpanti, Laura; Cesaretti, Lorenzo

doi:10.1007/978-3-030-19913-5_3

Cited by 53 publications

(38 citation statements)

References 63 publications

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“…The authors decided to calculate the first four indicators (Motors, Loops, Conditionals, Others) because they represent the features of a sequence designed using the Lego Mindstorms EV3 software; moreover, they are key concepts in ER and computational curricula (Grover and Pea, 2013 ; Scaradozzi et al, 2015 , 2019b ; Allsop, 2019 ). Furthermore, as previously stated, an ER activity is characterized by a cyclical procedure for improving the programming sequence: for this reason, it is essential to calculate the differences between two contiguous sequences, represented by the last eight parameters (Added, Deleted, Changed, Equal, Delta Motors, Delta Loops, Delta Conditionals, and Delta Others).…”

Section: Methodsmentioning

confidence: 99%

“…A function designed in Python realizes the parsing of the log file to calculate these 12 values. (Grover and Pea, 2013;Scaradozzi et al, 2015Scaradozzi et al, , 2019bAllsop, 2019). Furthermore, as previously stated, an ER activity is characterized by a cyclical procedure for improving the programming sequence: for this reason, it is essential to calculate the differences between two contiguous sequences, represented by the last eight parameters (Added, Deleted, Changed, Equal, Delta Motors, Delta Loops, Delta Conditionals, and Delta Others).…”

Section: Data Preparationmentioning

confidence: 99%

“…Educational Robotics (ER) has been widely used to support integrative STEM education because of its power to realize engaging multidisciplinary activities about science, technology, engineering, and mathematics, but also arts, language, and humanities (Mubin et al, 2013 ; Scaradozzi et al, 2019a , b ). Furthermore, ER can also support inclusive education (Daniela and Lytras, 2019 ) and computer science and robotics literacy at all ages (Burbaite et al, 2013 ; Štuikys et al, 2013 ; Berry et al, 2016 ; Damaševicius et al, 2017 ; Vega and Cañas, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

“…But in this research project, the researchers did not train their system using machine learning techniques but using deterministic rules. The promising results obtained using machine learning techniques on data gathered from students during programming activities, and the lack of this type of study in the field of ER (Scaradozzi et al, 2019b ), have prompted the research described in this paper. Thanks to an upgrade of the Lego Mindstorms EV3 programming blocks (implemented by the authors), it was possible to register some log files containing the programming sequences created by 353 Italian primary and secondary school students (organized in 85 teams) during the resolution of a robotics exercise related to the ultrasonic sensor.…”

Section: Introductionmentioning

confidence: 99%

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Identification of the Students Learning Process During Education Robotics Activities

et al. 2020

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This paper presents the design of an assessment process and its outcomes to investigate the impact of Educational Robotics activities on students' learning. Through data analytics techniques, the authors will explore the activities' output from a pedagogical and quantitative point of view. Sensors are utilized in the context of an Educational Robotics activity to obtain a more effective robot-environment interaction. Pupils work on specific exercises to make their robot smarter and to carry out more complex and inspirational projects: the integration of sensors on a robotic prototype is crucial, and learners have to comprehend how to use them. In the presented study, the potential of Educational Data Mining is used to investigate how a group of primary and secondary school students, using visual programming (Lego Mindstorms EV3 Education software), design programming sequences while they are solving an exercise related to an ultrasonic sensor mounted on their robotic artifact. For this purpose, a tracking system has been designed so that every programming attempt performed by students' teams is registered on a log file and stored in an SD card installed in the Lego Mindstorms EV3 brick. These log files are then analyzed using machine learning techniques (k-means clustering) in order to extract different patterns in the creation of the sequences and extract various problem-solving pathways performed by students. The difference between problem-solving pathways with respect to an indicator of early achievement is studied.

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Section: Methodsmentioning

confidence: 99%

Section: Data Preparationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identification of the Students Learning Process During Education Robotics Activities

et al. 2020

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“…Today, there are many methodologies that can help teachers to transform their daily teaching, such as active methodologies [6], but there are also new tools and devices that allow us to approach the most complex aspects of existing technologies in the educational field, such as robotics [7,8].…”

Section: Introductionmentioning

confidence: 99%

Robotics in Education: A Scientific Mapping of the Literature in Web of Science

et al. 2021

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The technological revolution has created new educational opportunities. Today, robotics is one of the most modern systems to be introduced in educational settings. The main objective of this research was to analyze the evolution of the “robotics” concept in the educational field while having, as a reference point, the reported literature in the Web of Science (WoS). The methodology applied in this research was bibliometrics, which we used to analyze the structural and dynamic development of the concept. The collection of WoS studies on robotics in education began in 1975. Its evolution has been irregular, reaching peak production in 2019. Although the focus was on collecting studies with educational knowledge areas, other knowledge areas were also present, such as engineering and computing. It was found that the types of manuscript most commonly used to present scientific results in this area are proceedings papers. The country with the highest level of production in this field of study is the United States. The results confirm the potential of this type of study in the scientific field. The importance of this technology in the training of future surgeons and in the results they produce in their own learning was also detected.

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STEAM and Educational Robotics: Interdisciplinary Approaches to Robotics in Early Childhood and Primary Education

Manera

2020

Springer Proceedings in Advanced Robotics

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Towards a Definition of Educational Robotics: A Classification of Tools, Experiences and Assessments

Cited by 53 publications

References 63 publications

Identification of the Students Learning Process During Education Robotics Activities

Identification of the Students Learning Process During Education Robotics Activities

Robotics in Education: A Scientific Mapping of the Literature in Web of Science

STEAM and Educational Robotics: Interdisciplinary Approaches to Robotics in Early Childhood and Primary Education

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