Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities
Aligned with the principles of justice, peace, and sustainable development, Artificial Intelligence (AI) has the potential to make learning more equitable, fair, accessible, and inclusive. To achieve this, teachers need specialized training and low-cost, easily accessible educational resources that...
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| Format: | Article |
| Language: | English |
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Centro Latinoamericano de Estudios en Informática
2025-04-01
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| Series: | CLEI Electronic Journal |
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| Online Access: | https://clei.org/cleiej/index.php/cleiej/article/view/686 |
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| _version_ | 1849321810958483456 |
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| author | Jhon Alé-Silva Roberto Araya |
| author_facet | Jhon Alé-Silva Roberto Araya |
| author_sort | Jhon Alé-Silva |
| collection | DOAJ |
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Aligned with the principles of justice, peace, and sustainable development, Artificial Intelligence (AI) has the potential to make learning more equitable, fair, accessible, and inclusive. To achieve this, teachers need specialized training and low-cost, easily accessible educational resources that facilitate their incorporation into pedagogical practice. This article aims to contribute to this goal, specifically in the context of natural science education. To this end, it presents the design, implementation, and evaluation of a proposal for educational activities intended to enhance the teaching strategies of natural science teachers by incorporating Supervised Machine Learning. We evaluated the activities in two workshops involving a total of 56 science teachers; the first workshop was conducted online, and the second was held in person. During the evaluation, we examined changes in teachers' self-perception through surveys, with assessments conducted at the beginning and end of both workshops. The results highlight significant improvements in the science teachers' perceptions in key areas, such as knowledge about Machine Learning, the selection of resources to support their teaching, and more positive attitudes towards integrating Machine Learning in the science classroom. Challenges related to the conceptualization and application of Machine Learning in the educational environment were also identified. This study underscores the need for additional support and specific preparation to overcome digital gaps in the adoption of AI in multidisciplinary education. The findings are discussed in light of recent professional development trends based on AI teacher training strategies.
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| format | Article |
| id | doaj-art-e8ccf3ecb021435ca9b45c23bd8e8ea3 |
| institution | Kabale University |
| issn | 0717-5000 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Centro Latinoamericano de Estudios en Informática |
| record_format | Article |
| series | CLEI Electronic Journal |
| spelling | doaj-art-e8ccf3ecb021435ca9b45c23bd8e8ea32025-08-20T03:49:37ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002025-04-0128210.19153/cleiej.28.2.13Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning ActivitiesJhon Alé-Silva0Roberto Araya1University of ChileUniversity of Chile Aligned with the principles of justice, peace, and sustainable development, Artificial Intelligence (AI) has the potential to make learning more equitable, fair, accessible, and inclusive. To achieve this, teachers need specialized training and low-cost, easily accessible educational resources that facilitate their incorporation into pedagogical practice. This article aims to contribute to this goal, specifically in the context of natural science education. To this end, it presents the design, implementation, and evaluation of a proposal for educational activities intended to enhance the teaching strategies of natural science teachers by incorporating Supervised Machine Learning. We evaluated the activities in two workshops involving a total of 56 science teachers; the first workshop was conducted online, and the second was held in person. During the evaluation, we examined changes in teachers' self-perception through surveys, with assessments conducted at the beginning and end of both workshops. The results highlight significant improvements in the science teachers' perceptions in key areas, such as knowledge about Machine Learning, the selection of resources to support their teaching, and more positive attitudes towards integrating Machine Learning in the science classroom. Challenges related to the conceptualization and application of Machine Learning in the educational environment were also identified. This study underscores the need for additional support and specific preparation to overcome digital gaps in the adoption of AI in multidisciplinary education. The findings are discussed in light of recent professional development trends based on AI teacher training strategies. https://clei.org/cleiej/index.php/cleiej/article/view/686Artificial Intelligence Teaching and LearningMachine LearningScience EducationContinuing EducationICT Into the Curriculum |
| spellingShingle | Jhon Alé-Silva Roberto Araya Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities CLEI Electronic Journal Artificial Intelligence Teaching and Learning Machine Learning Science Education Continuing Education ICT Into the Curriculum |
| title | Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities |
| title_full | Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities |
| title_fullStr | Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities |
| title_full_unstemmed | Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities |
| title_short | Enhancing the Continuing Education of Science Teachers with Unplugged Machine Learning Activities |
| title_sort | enhancing the continuing education of science teachers with unplugged machine learning activities |
| topic | Artificial Intelligence Teaching and Learning Machine Learning Science Education Continuing Education ICT Into the Curriculum |
| url | https://clei.org/cleiej/index.php/cleiej/article/view/686 |
| work_keys_str_mv | AT jhonalesilva enhancingthecontinuingeducationofscienceteacherswithunpluggedmachinelearningactivities AT robertoaraya enhancingthecontinuingeducationofscienceteacherswithunpluggedmachinelearningactivities |