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The Identification of Emotional Intelligence Skills in Higher Education Students with WebQDA

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Computer Supported Qualitative Research (WCQR 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1345))

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Abstract

It is known that academic performance is not correlated with the way people understand and deal with their own emotions and other peoples’ emotions. Active methodologies allow students to be constantly involved in the learning process and thus allow Higher Education students to cognitively develop Emotional Intelligence (EI). This study is guided by the following research question: what are the learning strategies for developing EI skills in Higher Education students? This is a qualitative study and two focus groups were held with two institutions of Public and Private Higher Education, in which 10 students and 4 Professors participated. The content of the interviews was analyzed using the qualitative analysis software webQDA®. One concludes that the active methodologies, Problem Based Learning and Inverted Classroom, can contribute to develop EI skills in Higher Education students, as they enable mental skills such as reasoning and problem solving, from the perception and knowledge of emotion patterns.

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Author information

Authors and Affiliations

  1. IESF, CIDI, Fafe, Portugal

    Susana Sá

  2. ISPGAYA, CEOS.PP, Porto, Portugal

    José Morais

  3. ISPGAYA, INESC TEC, Porto, Portugal

    Fernando Almeida

Authors
  1. Susana Sá
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  2. José Morais
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  3. Fernando Almeida
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Corresponding author

Correspondence to Susana Sá .

Editor information

Editors and Affiliations

  1. Department of Education and Psychology, Didactics and Technology in Teacher Education (CIDTFF) Research Centre, Ludomedia and University of Aveiro, Aveiro, Portugal

    António Pedro Costa

  2. Faculty of Engineering, Artificial Intelligence and Computer Science Laboratory (LIACC), University of Porto, Porto, Portugal

    Luís Paulo Reis

  3. Department of Education and Psychology, Didactics and Technology in Teacher Education (CIDTFF) Research Centre, University of Aveiro, Aveiro, Portugal

    António Moreira

  4. School of Computer Science, Technological University Dublin, Dublin, Ireland

    Luca Longo

  5. Institute of Sociology, Jagiellonian University, Kraków, Poland

    Grzegorz Bryda

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Sá, S., Morais, J., Almeida, F. (2021). The Identification of Emotional Intelligence Skills in Higher Education Students with WebQDA. In: Costa, A.P., Reis, L.P., Moreira, A., Longo, L., Bryda, G. (eds) Computer Supported Qualitative Research. WCQR 2021. Advances in Intelligent Systems and Computing, vol 1345. Springer, Cham. https://doi.org/10.1007/978-3-030-70187-1_4

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