Investigating the role of educational robotics in formal mathematics
education: the case of geometry for 15-year-old students
- URL: http://arxiv.org/abs/2106.10925v1
- Date: Mon, 21 Jun 2021 08:53:39 GMT
- Title: Investigating the role of educational robotics in formal mathematics
education: the case of geometry for 15-year-old students
- Authors: J\'er\^ome Brender, Laila El-Hamamsy, Barbara Bruno, Fr\'ed\'erique
Chessel-Lazzarotto, Jessica Dehler Zufferey, Francesco Mondada
- Abstract summary: This work investigates the integration of Educational Robotics (ER) into formal mathematics education.
The study employed the Thymio robot and Scratch programming to teach geometry to two classes of 15-year-old students.
Results suggest ER activities are as valid as traditional ones in helping students grasp the relevant theoretical concepts.
- Score: 0.8367620276482053
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Research has shown that Educational Robotics (ER) enhances student
performance, interest, engagement and collaboration. However, until now, the
adoption of robotics in formal education has remained relatively scarce. Among
other causes, this is due to the difficulty of determining the alignment of
educational robotic learning activities with the learning outcomes envisioned
by the curriculum, as well as their integration with traditional, non-robotics
learning activities that are well established in teachers' practices. This work
investigates the integration of ER into formal mathematics education, through a
quasi-experimental study employing the Thymio robot and Scratch programming to
teach geometry to two classes of 15-year-old students, for a total of 26
participants. Three research questions were addressed: (1) Should an ER-based
theoretical lecture precede, succeed or replace a traditional theoretical
lecture? (2) What is the students' perception of and engagement in the ER-based
lecture and exercises? (3) Do the findings differ according to students' prior
appreciation of mathematics? The results suggest that ER activities are as
valid as traditional ones in helping students grasp the relevant theoretical
concepts. Robotics activities seem particularly beneficial during exercise
sessions: students freely chose to do exercises that included the robot, rated
them as significantly more interesting and useful than their traditional
counterparts, and expressed their interest in introducing ER in other
mathematics lectures. Finally, results were generally consistent between the
students that like and did not like mathematics, suggesting the use of robotics
as a means to broaden the number of students engaged in the discipline.
Related papers
- De la Extensión a la Investigación: Como La Robótica Estimula el Interés Académico en Estudiantes de Grado [0.0]
The study, conducted with the UruBots group, shows that students involved in robotics not only reinforce their theoretical knowledge but also increase their interest in research and academic commitment.
This work lays the groundwork for future research on how robotics can continue to enhance higher education and motivate students in their academic and professional careers.
arXiv Detail & Related papers (2024-10-22T21:51:31Z) - Offline Imitation Learning Through Graph Search and Retrieval [57.57306578140857]
Imitation learning is a powerful machine learning algorithm for a robot to acquire manipulation skills.
We propose GSR, a simple yet effective algorithm that learns from suboptimal demonstrations through Graph Search and Retrieval.
GSR can achieve a 10% to 30% higher success rate and over 30% higher proficiency compared to baselines.
arXiv Detail & Related papers (2024-07-22T06:12:21Z) - Socially Assistive Robot in Sexual Health: Group and Individual Student-Robot Interaction Activities Promoting Disclosure, Learning and Positive Attitudes [0.0]
Socially assistive robots (SARs) sometimes are perceived as more trustworthy than humans.
Students were more open to asking SE-related questions to the robot than their human teacher.
arXiv Detail & Related papers (2024-07-17T21:36:21Z) - Representational Alignment Supports Effective Machine Teaching [81.19197059407121]
We integrate insights from machine teaching and pragmatic communication with the literature on representational alignment.
We design a supervised learning environment that disentangles representational alignment from teacher accuracy.
arXiv Detail & Related papers (2024-06-06T17:48:24Z) - Enhancing Students' Learning Process Through Self-Generated Tests [0.0]
This paper describes an educational experiment aimed at the promotion of students' autonomous learning.
The main idea is to make the student feel part of the evaluation process by including students' questions in the evaluation exams.
Questions uploaded by students are visible to every enrolled student as well as to each involved teacher.
arXiv Detail & Related papers (2024-03-21T09:49:33Z) - A Concise Introduction to Reinforcement Learning in Robotics [0.0]
This paper aims to serve as a reference guide for researchers in reinforcement learning applied to the field of robotics.
We have covered the most essential concepts required for research in the field of reinforcement learning, with robotics in mind.
arXiv Detail & Related papers (2022-10-13T22:29:42Z) - Can in-home laboratories foster learning, self-efficacy, and motivation
during the COVID-19 pandemic? -- A case study in two engineering programs [0.0]
This study presents an educational methodology based on Problem-Based Learning (PBL) and in-home laboratories in engineering.
The methodology was carried out in two phases during 2020, in the academic programs of Industrial Engineering and Technology in Electronics with (n=44) students.
arXiv Detail & Related papers (2022-03-30T17:03:33Z) - Disadvantaged students increase their academic performance through
collective intelligence exposure in emergency remote learning due to COVID 19 [105.54048699217668]
During the COVID-19 crisis, educational institutions worldwide shifted from face-to-face instruction to emergency remote teaching (ERT) modalities.
We analyzed data on 7,528 undergraduate students and found that cooperative and consensus dynamics among students in discussion forums positively affect their final GPA.
Using natural language processing, we show that first-year students with low academic performance during high school are exposed to more content-intensive posts in discussion forums.
arXiv Detail & Related papers (2022-03-10T20:23:38Z) - Human-Robot Collaboration and Machine Learning: A Systematic Review of
Recent Research [69.48907856390834]
Human-robot collaboration (HRC) is the approach that explores the interaction between a human and a robot.
This paper proposes a thorough literature review of the use of machine learning techniques in the context of HRC.
arXiv Detail & Related papers (2021-10-14T15:14:33Z) - Iterative Teacher-Aware Learning [136.05341445369265]
In human pedagogy, teachers and students can interact adaptively to maximize communication efficiency.
We propose a gradient optimization based teacher-aware learner who can incorporate teacher's cooperative intention into the likelihood function.
arXiv Detail & Related papers (2021-10-01T00:27:47Z) - Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI)
Curriculum [58.86139968005518]
The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education.
A team of 14 professors with expertise in engineering and education collaborated with 17 principals and teachers from 6 secondary schools to co-create the curriculum.
The co-creation process generated a variety of resources which enhanced the teachers knowledge in AI, as well as fostered teachers autonomy in bringing the subject matter into their classrooms.
arXiv Detail & Related papers (2021-01-19T11:26:19Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.