Low-cost desktop learning factory to support the teaching of artificial intelligence
The following document details low-cost hardware and open-source available software tools that can be combined to support active teaching methodologies like Problem-Based Learning (PBL) and incorporate work-oriented technological skills in students. This proposal presents a prototype of Open Educati...
- Autores:
-
Eduardo Orozco Otero
Paulo Cesar Cárdenas
López Sotelo, Jesús Alfonso
Cinthia Kathalina Rodríguez
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2024
- Institución:
- Universidad Autónoma de Occidente
- Repositorio:
- RED: Repositorio Educativo Digital UAO
- Idioma:
- eng
- OAI Identifier:
- oai:red.uao.edu.co:10614/16221
- Acceso en línea:
- https://hdl.handle.net/10614/16221
https://doi.org/10.1016/j.ohx.2024.e00528
https://red.uao.edu.co/
- Palabra clave:
- Machine learning
Artificial intelligence
Education k-12
Teaching strategy
Aprendizaje automático
Inteligencia artificial
Educación K-12
Estrategia de enseñanza
- Rights
- openAccess
- License
- Derechos reservados - Elsevier, 2024
| id |
REPOUAO2_2a165bc2b605e3dfd42c5ee81b8ca5e1 |
|---|---|
| oai_identifier_str |
oai:red.uao.edu.co:10614/16221 |
| network_acronym_str |
REPOUAO2 |
| network_name_str |
RED: Repositorio Educativo Digital UAO |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Low-cost desktop learning factory to support the teaching of artificial intelligence |
| dc.title.translated.spa.fl_str_mv |
Fábrica de aprendizaje de escritorio de bajo costo para apoyar la enseñanza de la inteligencia artificial |
| title |
Low-cost desktop learning factory to support the teaching of artificial intelligence |
| spellingShingle |
Low-cost desktop learning factory to support the teaching of artificial intelligence Machine learning Artificial intelligence Education k-12 Teaching strategy Aprendizaje automático Inteligencia artificial Educación K-12 Estrategia de enseñanza |
| title_short |
Low-cost desktop learning factory to support the teaching of artificial intelligence |
| title_full |
Low-cost desktop learning factory to support the teaching of artificial intelligence |
| title_fullStr |
Low-cost desktop learning factory to support the teaching of artificial intelligence |
| title_full_unstemmed |
Low-cost desktop learning factory to support the teaching of artificial intelligence |
| title_sort |
Low-cost desktop learning factory to support the teaching of artificial intelligence |
| dc.creator.fl_str_mv |
Eduardo Orozco Otero Paulo Cesar Cárdenas López Sotelo, Jesús Alfonso Cinthia Kathalina Rodríguez |
| dc.contributor.author.none.fl_str_mv |
Eduardo Orozco Otero Paulo Cesar Cárdenas López Sotelo, Jesús Alfonso Cinthia Kathalina Rodríguez |
| dc.subject.proposal.eng.fl_str_mv |
Machine learning Artificial intelligence Education k-12 Teaching strategy |
| topic |
Machine learning Artificial intelligence Education k-12 Teaching strategy Aprendizaje automático Inteligencia artificial Educación K-12 Estrategia de enseñanza |
| dc.subject.proposal.spa.fl_str_mv |
Aprendizaje automático Inteligencia artificial Educación K-12 Estrategia de enseñanza |
| description |
The following document details low-cost hardware and open-source available software tools that can be combined to support active teaching methodologies like Problem-Based Learning (PBL) and incorporate work-oriented technological skills in students. This proposal presents a prototype of Open Educational Resources (OER) that integrates software and hardware tools for the specific purpose of facilitating instruction in Artificial Intelligence. The hardware consists of affordable electronic devices, including an Arduino board, servo motors, sensors, a relay and a motor, all integrated into a scaled conveyor belt. On the other hand, open software was used to implement an image classification program with different features (shape, color, size, among others). The exact construction steps, circuits, and code are presented in detail and should encourage other scientists to replicate the experimental setup, especially if they are looking for experimental teaching of artificial intelligence, since the system allows object classification using the machine learning paradigm to facilitate the teaching of artificial intelligence concepts with computer vision concepts |
| publishDate |
2024 |
| dc.date.issued.none.fl_str_mv |
2024 |
| dc.date.accessioned.none.fl_str_mv |
2025-07-25T18:36:59Z |
| dc.date.available.none.fl_str_mv |
2025-07-25T18:36:59Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.eng.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.content.eng.fl_str_mv |
Text |
| dc.type.driver.eng.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.eng.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
| dc.type.version.eng.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| status_str |
publishedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Orozco Otero, E.; Cárdenas, P. C.; López Sotelo, J. A. y Rodríguez, C. K. (2024). Low-cost desktop learning factory to support the teaching of artificial intelligence. HardwareX. Vol 18. https://doi.org/10.1016/j.ohx.2024.e00528 |
| dc.identifier.issn.spa.fl_str_mv |
24680672 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10614/16221 |
| dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1016/j.ohx.2024.e00528 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Autónoma de Occidente |
| dc.identifier.reponame.spa.fl_str_mv |
Respositorio Educativo Digital UAO |
| dc.identifier.repourl.none.fl_str_mv |
https://red.uao.edu.co/ |
| identifier_str_mv |
Orozco Otero, E.; Cárdenas, P. C.; López Sotelo, J. A. y Rodríguez, C. K. (2024). Low-cost desktop learning factory to support the teaching of artificial intelligence. HardwareX. Vol 18. https://doi.org/10.1016/j.ohx.2024.e00528 24680672 Universidad Autónoma de Occidente Respositorio Educativo Digital UAO |
| url |
https://hdl.handle.net/10614/16221 https://doi.org/10.1016/j.ohx.2024.e00528 https://red.uao.edu.co/ |
| dc.language.iso.eng.fl_str_mv |
eng |
| language |
eng |
| dc.relation.citationendpage.spa.fl_str_mv |
23 |
| dc.relation.citationstartpage.spa.fl_str_mv |
1 |
| dc.relation.citationvolume.spa.fl_str_mv |
18 |
| dc.relation.ispartofjournal.eng.fl_str_mv |
HardwareX |
| dc.relation.references.none.fl_str_mv |
[1] S. Freeman, S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, M.P. Wenderoth, Active learning increases student performance in science, engineering, and mathematics, Proc. Natl. Acad. Sci. 111 (23) (2014) 8410–8415. [2] E. Al-Masri, S. Kabu, P. Dixith, Emerging hardware prototyping technologies as tools for learning, IEEE Access 8 (2020) 80207–80217. [3] E. Lopez-Caudana, M.S. Ramirez-Montoya, S. Martínez-Pérez, G. Rodríguez-Abitia, Using robotics to enhance active learning in mathematics: A multi-scenario study, Mathematics 8 (12) (2020) 2163. [4] J. Jesionkowska, F. Wild, Y. Deval, Active learning augmented reality for STEAM education—A case study, Educ. Sci. 10 (8) (2020) 198. [5] A.A. Nicol, S.M. Owens, S.S. Le Coze, A. MacIntyre, C. Eastwood, Comparison of high-technology active learning and low-technology active learning classrooms, Act. Learn. Higher Educ. 19 (3) (2018) 253–265. [6] E.J. Theobald, M.J. Hill, E. Tran, S. Agrawal, E.N. Arroyo, S. Behling, N. Chambwe, D.L. Cintrón, J.D. Cooper, G. Dunster, et al., Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math, Proc. Natl. Acad. Sci. 117 (12) (2020) 6476–6483. [7] D. Varna, V. Abromavičius, A system for a real-time electronic component detection and classification on a conveyor belt, Appl. Sci. 12 (11) (2022) 5608. [8] Y. Zhang, L. Li, M. Ripperger, J. Nicho, M. Veeraraghavan, A. Fumagalli, Gilbreth: A conveyor-belt based pick-and-sort industrial robotics application, in: 2018 Second IEEE International Conference on Robotic Computing, IRC, IEEE, 2018, pp. 17–24. [9] G. Karalekas, S. Vologiannidis, J. Kalomiros, Europa: A case study for teaching sensors, data acquisition and robotics via a ROS-based educational robot, Sensors 20 (9) (2020) 2469. [10] J. Vega, J.M. Cañas, PiBot: An open low-cost robotic platform with camera for STEM education, Electronics 7 (12) (2018) 430. [11] T. Brosnan, D.-W. Sun, Inspection and grading of agricultural and food products by computer vision systems—a review, Comput. Electron. Agric. 36 (2–3) (2002) 193–213. [12] G. Yang, J. Jin, Q. Lei, Y. Wang, J. Zhou, Z. Sun, X. Li, W. Wang, Garbage classification system with yolov5 based on image recognition, in: 2021 IEEE 6th International Conference on Signal and Image Processing, ICSIP, IEEE, 2021, pp. 11–18. [13] LEGO Education, MINDSTORMS® EV3 core set computer integrated manufacturing, 2023, https://education.lego.com/en-us/lessons/ev3-cim. (Accessed April 25, 2023). [14] Simulation of transport and machining of workpieces. Fischertechnik. Training models, 2023, https://www.fischertechnik.de/en/products/industry-anduniversities/ training-models/96785-simpunching-machine-with-conveyor-belt-24v. (Accessed April 25, 2023). [15] Hiwonder, JetMax: The AI vision robotic arm for endless creativity, 2022, https://www.kickstarter.com/projects/jetmax/jetmax-the-ai-vision-robotic-armfor- endless-creativity. (Accessed April 25, 2023). |
| dc.rights.eng.fl_str_mv |
Derechos reservados - Elsevier, 2024 |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.uri.eng.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.eng.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.creativecommons.spa.fl_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) |
| rights_invalid_str_mv |
Derechos reservados - Elsevier, 2024 https://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.extent.spa.fl_str_mv |
23 páginas |
| dc.format.mimetype.none.fl_str_mv |
application/pdf |
| dc.publisher.eng.fl_str_mv |
Elsevier |
| dc.publisher.place.spa.fl_str_mv |
Reino Unido |
| institution |
Universidad Autónoma de Occidente |
| bitstream.url.fl_str_mv |
https://red.uao.edu.co/bitstreams/d5d66f66-0ff1-4332-b2d5-8beac6502cd6/download https://red.uao.edu.co/bitstreams/527a9b1f-a249-48c5-a9f8-a951395eab5c/download https://red.uao.edu.co/bitstreams/7a5a7296-c210-405c-8775-60ac9a0f6864/download https://red.uao.edu.co/bitstreams/fec35247-74e7-4325-9bf8-c08139749d07/download |
| bitstream.checksum.fl_str_mv |
bd2f332b170cf4a2b2fb33a59e78c328 6987b791264a2b5525252450f99b10d1 ad586520d8b379e5e15603f85b5d4213 1243b3bdf57a3fc06b7a3d9d0f5399b8 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Digital Universidad Autonoma de Occidente |
| repository.mail.fl_str_mv |
repositorio@uao.edu.co |
| _version_ |
1851053148132605952 |
| spelling |
Eduardo Orozco OteroPaulo Cesar CárdenasLópez Sotelo, Jesús Alfonsovirtual::6212-1Cinthia Kathalina Rodríguez2025-07-25T18:36:59Z2025-07-25T18:36:59Z2024Orozco Otero, E.; Cárdenas, P. C.; López Sotelo, J. A. y Rodríguez, C. K. (2024). Low-cost desktop learning factory to support the teaching of artificial intelligence. HardwareX. Vol 18. https://doi.org/10.1016/j.ohx.2024.e0052824680672https://hdl.handle.net/10614/16221https://doi.org/10.1016/j.ohx.2024.e00528Universidad Autónoma de OccidenteRespositorio Educativo Digital UAOhttps://red.uao.edu.co/The following document details low-cost hardware and open-source available software tools that can be combined to support active teaching methodologies like Problem-Based Learning (PBL) and incorporate work-oriented technological skills in students. This proposal presents a prototype of Open Educational Resources (OER) that integrates software and hardware tools for the specific purpose of facilitating instruction in Artificial Intelligence. The hardware consists of affordable electronic devices, including an Arduino board, servo motors, sensors, a relay and a motor, all integrated into a scaled conveyor belt. On the other hand, open software was used to implement an image classification program with different features (shape, color, size, among others). The exact construction steps, circuits, and code are presented in detail and should encourage other scientists to replicate the experimental setup, especially if they are looking for experimental teaching of artificial intelligence, since the system allows object classification using the machine learning paradigm to facilitate the teaching of artificial intelligence concepts with computer vision conceptsEl siguiente documento detalla hardware de bajo costo y herramientas de software de código abierto disponibles que se pueden combinar para apoyar metodologías de enseñanza activas como el Aprendizaje Basado en Problemas (ABP) e incorporar habilidades tecnológicas orientadas al trabajo en los estudiantes. Esta propuesta presenta un prototipo de Recursos Educativos Abiertos (REA) que integra herramientas de software y hardware con el propósito específico de facilitar la instrucción en Inteligencia Artificial. El hardware consiste en dispositivos electrónicos asequibles, incluyendo una placa Arduino , servomotores , sensores, un relé y un motor, todos integrados en una cinta transportadora a escala . Por otro lado, se utilizó software abierto para implementar un programa de clasificación de imágenes con diferentes características (forma, color, tamaño, entre otras). Los pasos exactos de construcción, los circuitos y el código se presentan en detalle y deberían alentar a otros científicos a replicar la configuración experimental, especialmente si buscan la enseñanza experimental de la inteligencia artificial, ya que el sistema permite la clasificación de objetos utilizando el paradigma de aprendizaje automático para facilitar la enseñanza de conceptos de inteligencia artificial con conceptos de visión por computadora23 páginasapplication/pdfengElsevierReino UnidoDerechos reservados - Elsevier, 2024https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Low-cost desktop learning factory to support the teaching of artificial intelligenceFábrica de aprendizaje de escritorio de bajo costo para apoyar la enseñanza de la inteligencia artificialArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a8523118HardwareX[1] S. Freeman, S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, M.P. Wenderoth, Active learning increases student performance in science, engineering, and mathematics, Proc. Natl. Acad. Sci. 111 (23) (2014) 8410–8415.[2] E. Al-Masri, S. Kabu, P. Dixith, Emerging hardware prototyping technologies as tools for learning, IEEE Access 8 (2020) 80207–80217.[3] E. Lopez-Caudana, M.S. Ramirez-Montoya, S. Martínez-Pérez, G. Rodríguez-Abitia, Using robotics to enhance active learning in mathematics: A multi-scenario study, Mathematics 8 (12) (2020) 2163.[4] J. Jesionkowska, F. Wild, Y. Deval, Active learning augmented reality for STEAM education—A case study, Educ. Sci. 10 (8) (2020) 198.[5] A.A. Nicol, S.M. Owens, S.S. Le Coze, A. MacIntyre, C. Eastwood, Comparison of high-technology active learning and low-technology active learning classrooms, Act. Learn. Higher Educ. 19 (3) (2018) 253–265.[6] E.J. Theobald, M.J. Hill, E. Tran, S. Agrawal, E.N. Arroyo, S. Behling, N. Chambwe, D.L. Cintrón, J.D. Cooper, G. Dunster, et al., Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math, Proc. Natl. Acad. Sci. 117 (12) (2020) 6476–6483.[7] D. Varna, V. Abromavičius, A system for a real-time electronic component detection and classification on a conveyor belt, Appl. Sci. 12 (11) (2022) 5608.[8] Y. Zhang, L. Li, M. Ripperger, J. Nicho, M. Veeraraghavan, A. Fumagalli, Gilbreth: A conveyor-belt based pick-and-sort industrial robotics application, in: 2018 Second IEEE International Conference on Robotic Computing, IRC, IEEE, 2018, pp. 17–24.[9] G. Karalekas, S. Vologiannidis, J. Kalomiros, Europa: A case study for teaching sensors, data acquisition and robotics via a ROS-based educational robot, Sensors 20 (9) (2020) 2469.[10] J. Vega, J.M. Cañas, PiBot: An open low-cost robotic platform with camera for STEM education, Electronics 7 (12) (2018) 430.[11] T. Brosnan, D.-W. Sun, Inspection and grading of agricultural and food products by computer vision systems—a review, Comput. Electron. Agric. 36 (2–3) (2002) 193–213.[12] G. Yang, J. Jin, Q. Lei, Y. Wang, J. Zhou, Z. Sun, X. Li, W. Wang, Garbage classification system with yolov5 based on image recognition, in: 2021 IEEE 6th International Conference on Signal and Image Processing, ICSIP, IEEE, 2021, pp. 11–18.[13] LEGO Education, MINDSTORMS® EV3 core set computer integrated manufacturing, 2023, https://education.lego.com/en-us/lessons/ev3-cim. (Accessed April 25, 2023).[14] Simulation of transport and machining of workpieces. Fischertechnik. Training models, 2023, https://www.fischertechnik.de/en/products/industry-anduniversities/ training-models/96785-simpunching-machine-with-conveyor-belt-24v. (Accessed April 25, 2023).[15] Hiwonder, JetMax: The AI vision robotic arm for endless creativity, 2022, https://www.kickstarter.com/projects/jetmax/jetmax-the-ai-vision-robotic-armfor- endless-creativity. (Accessed April 25, 2023).Machine learningArtificial intelligenceEducation k-12Teaching strategyAprendizaje automáticoInteligencia artificialEducación K-12Estrategia de enseñanzaComunidad generalPublicationfc227fb1-22ec-47f0-afe7-521c61fddd32virtual::6212-1fc227fb1-22ec-47f0-afe7-521c61fddd32virtual::6212-1https://scholar.google.com.au/citations?user=7PIjh_MAAAAJ&hl=envirtual::6212-10000-0002-9731-8458virtual::6212-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000249106virtual::6212-1ORIGINALLow-cost_desktop_learning_factory_to_support_the_teaching_of_artificial_intelligence.pdfLow-cost_desktop_learning_factory_to_support_the_teaching_of_artificial_intelligence.pdfArchivo texto completo del artículo de revista, PDFapplication/pdf8746888https://red.uao.edu.co/bitstreams/d5d66f66-0ff1-4332-b2d5-8beac6502cd6/downloadbd2f332b170cf4a2b2fb33a59e78c328MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81672https://red.uao.edu.co/bitstreams/527a9b1f-a249-48c5-a9f8-a951395eab5c/download6987b791264a2b5525252450f99b10d1MD52TEXTLow-cost_desktop_learning_factory_to_support_the_teaching_of_artificial_intelligence.pdf.txtLow-cost_desktop_learning_factory_to_support_the_teaching_of_artificial_intelligence.pdf.txtExtracted texttext/plain43333https://red.uao.edu.co/bitstreams/7a5a7296-c210-405c-8775-60ac9a0f6864/downloadad586520d8b379e5e15603f85b5d4213MD53THUMBNAILLow-cost_desktop_learning_factory_to_support_the_teaching_of_artificial_intelligence.pdf.jpgLow-cost_desktop_learning_factory_to_support_the_teaching_of_artificial_intelligence.pdf.jpgGenerated Thumbnailimage/jpeg12906https://red.uao.edu.co/bitstreams/fec35247-74e7-4325-9bf8-c08139749d07/download1243b3bdf57a3fc06b7a3d9d0f5399b8MD5410614/16221oai:red.uao.edu.co:10614/162212025-07-27 03:01:31.877https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos reservados - Elsevier, 2024open.accesshttps://red.uao.edu.coRepositorio Digital Universidad Autonoma de Occidenterepositorio@uao.edu.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 |