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New Approaches in Assistive Technologies Applied to Engineering Education

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 917))

Abstract

The evolution of technology, new learning theories and universal design made the learning process to become more flexible and adaptable. The 21st century society imposes a need for increased cognitive ability, thus students are required to have a combination of academic knowledge and transferable skills. Assistive technologies have been used not only with students with special needs but in an inclusive environment extending it to other students. Students are becoming more aware and sensitive to their own learning preferences and their own learning styles. However, the task of adapting current educational practices and spread information in student environment is still a challenge. This paper proposes new approaches to assistive technology design imposed by the evolution of technology. Students can now choose how to study, where to study and when to study. Underpinning this change, the paper explores how assistive technologies have evolved into learning technologies by taking into consideration the technological pedagogical content knowledge (TPACK) framework and proposing an extension, based on intelligent systems that combines means of bio signals assessment with emotional state evaluation for engineering students.

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Acknowledgements

The authors acknowledge the European Commission for its support and partial funding and the partners of the research project from ERASMUS+: Higher Education—International Capacity Building—ACACIA—Project reference number—561754-EPP-1-2015-1-CO-EPKA2-CBHE-JP, (http://acacia.digital).

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Correspondence to Manuella Kadar .

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Artifice, A., Kadar, M., Sarraipa, J., Jardim-Goncalves, R. (2019). New Approaches in Assistive Technologies Applied to Engineering Education. In: Auer, M., Tsiatsos, T. (eds) The Challenges of the Digital Transformation in Education. ICL 2018. Advances in Intelligent Systems and Computing, vol 917. Springer, Cham. https://doi.org/10.1007/978-3-030-11935-5_9

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