Design and Implementation of a Robotics Learning Environment to Teach Physics in Secondary Schools

Orlando, Samantha; López, Félix de la Paz; Gaudioso, Elena

doi:10.1007/978-3-030-19651-6_7

Cited by 3 publications

(5 citation statements)

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“…Nevertheless, learning activities with robotics kits are usually isolated from official curriculum and no evaluation about the learning outcomes of students are provided. The work in [103] presents IDEE, an integrated learning environment which uses robotics as a learning tool for a physics laboratory (see Fig. 11).…”

Section: Education and Social Robotsmentioning

confidence: 99%

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

et al. 2020

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Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era for the social welfare state. In this paper we summarize recent advances in data science and artificial intelligence within the interplay between natural and artificial computation. A review of recent works published in the latter field and the state the art are summarized in a comprehensive and self-contained way to provide a baseline framework for the international community in artificial intelligence. Moreover, this paper aims to provide a complete analysis and some relevant discussions of the current trends and insights within several theoretical and application fields covered in the essay, from theoretical models in

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Section: Education and Social Robotsmentioning

confidence: 99%

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

et al. 2020

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“…A. OVERVIEW IDEE is a learning environment that provides a framework to study learning units in physics through the use of robotics [23].…”

Section: Idee: Integrated Didactic Educational Environmentmentioning

confidence: 99%

“…Each experience in IDEE analyzes a physical phenomenon. The students study the phenomenon as true scientists by following the steps of Galileo Galilei's scientific method: first they observe the phenomenon, then they collect experimental data that will lead them to formulate hypotheses that will finally be validated by a mathematical law [23].…”

Section: Idee: Integrated Didactic Educational Environmentmentioning

confidence: 99%

“…In this paper we present IDEE (Integrated Didactic Educational Environment), a learning environment for physics focused on the concepts that students must acquire by following the official regulations. 1 IDEE [22], [23] can be used to carry out laboratory activities with a robotic kit and to work on the mandatory concepts that students have to acquire in a physics class in secondary education. To support teachers, IDEE tracks students' interaction data and provides a dashboard that allows the teachers to analyze and assess the progresses and difficulties of the class group.…”

Section: Introductionmentioning

confidence: 99%

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Supporting Teachers to Monitor Student’s Learning Progress in an Educational Environment With Robotics Activities

2020

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Educational robotics has proven its positive impact on the performances and attitudes of students. However, the educational environments that employ them rarely provide teachers with relevant information that can be used to make an effective monitoring of the student learning progress. To overcome these limitations, in this paper we present IDEE (Integrated Didactic Educational Environment), an educational environment for physics, that uses EV3 LEGO Mindstorms R educational kit as robotic component. To provide support to teachers, IDEE includes a dashboard that provides them with information about the students' learning process. This analysis is done by means of an Additive Factor Model (AFM). That is a well-known technique in the educational data mining research area. However, it has been usually employed to carry out analysis about students' performance data outside the system. This can be a burden for the teacher who, in most cases, is not an expert in data analysis. Our goal in this paper is to show how the coefficients of AFM provide valuable information to the teacher without requiring any deep expertise in data analysis. In addition, we show an improved version of the AFM that provides a deeper understanding about the students' learning process.

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“…To this end, we have implemented IDEE [17], [18], a webbased learning environment specially designed to be used in class to help teachers in physics classes with the support of robotics. IDEE aids teachers by offering information about the students learning progress [18].…”

Section: Introductionmentioning

confidence: 99%

Toward Embedding Robotics in Learning Environments With Support to Teachers: The IDEE Experience

Orlando,

Gaudioso,

de la Paz

2024

IEEE Trans. Learning Technol.

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Nowadays there is an increasing interest in using different technologies such as educational robotics in classrooms. However, in many cases, teachers have neither the necessary background to efficiently use these kits nor the information about how students are using robotics in class. To support teachers, learning environments with robotics tools should monitor the students' interaction data while they are interacting with the different resources provided. With the analysis of this data, teachers can obtain valuable information about students' learning progress. In previous work, we presented IDEE, an integrated learning environment that uses robotics to support physics laboratories in secondary education. Students' interactions with IDEE are stored and analyzed using the Additive Factor Model to show the teachers the most significant skills in the learning process and those students who have difficulties with these skills. Now, our goal is to enhance the information given to the teachers to allow them to focus on the specific needs of each student on every different skill involved in the activities and not only the significant skills. To this end, we use a Conjunctive Knowledge Tracing model based on a Hidden Markov Model. In this paper: i) we describe how the CKT model has been adapted to the pedagogical model of IDEE, ii) we show that this model can identify the skills that each student masters and thus, support teachers in identifying learning criticalities in students.

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Design and Implementation of a Robotics Learning Environment to Teach Physics in Secondary Schools

Cited by 3 publications

References 6 publications

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Supporting Teachers to Monitor Student’s Learning Progress in an Educational Environment With Robotics Activities

Toward Embedding Robotics in Learning Environments With Support to Teachers: The IDEE Experience

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