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Lecture Notes in Computer Science, pages 312-321

Using LEGO Mindstorms as an Instructional Aid in Technical and Vocational Secondary Education: Experiences from an Empirical Case Study

Maria Moundridou ¹

Alexander Kalinoglou ¹

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School of Pedagogical and Technological Education (ASPETE), General Department of Education, Athens, Greece |

Publication type: Book Chapter

Springer Nature

Journal: Lecture Notes in Computer Science

SJR: 0.606

CiteScore: 2.6

Impact factor: —

ISSN: 03029743, 16113349, 18612075, 18612083

DOI: 10.1007/978-3-540-87605-2_35

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Abstract

This paper reports on an empirical study concerning the use of LEGO Mindstorms Robotics kit as an instructional tool in technical and vocational secondary education. In particular, a robot car was developed and programmed in order to be utilized in teaching classes in the field of Mechanical Engineering. The paper describes the rationale for that construction and the robot car itself and proposes a lesson plan exploiting this technology. The pilot study that was conducted aimed at measuring the effectiveness of this approach in terms of learning outcomes as well as students’ satisfaction, enjoyment and perceived usefulness. The results of the study are encouraging towards the adoption of robotics in technical education although raising some issues that need to be further explored.

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Moundridou M., Kalinoglou A. Using LEGO Mindstorms as an Instructional Aid in Technical and Vocational Secondary Education: Experiences from an Empirical Case Study // Lecture Notes in Computer Science. pp. 312-321.

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RIS Copy

TY - GENERIC

DO - 10.1007/978-3-540-87605-2_35

UR - https://doi.org/10.1007/978-3-540-87605-2_35

TI - Using LEGO Mindstorms as an Instructional Aid in Technical and Vocational Secondary Education: Experiences from an Empirical Case Study

T2 - Lecture Notes in Computer Science

AU - Moundridou, Maria

AU - Kalinoglou, Alexander

PB - Springer Nature

SP - 312-321

SN - 0302-9743

SN - 1611-3349

SN - 1861-2075

SN - 1861-2083

ER -

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Publisher

Springer Nature

Journal

Lecture Notes in Computer Science

SJR

0.606

CiteScore

2.6

Impact factor

—

ISSN

03029743 (Print)

16113349 (Electronic)

18612075 (Print)

18612083 (Electronic)