Transcriptions of semi-structured interviews underlying: Preliminary Higher Order Thinking Skills Framework for Interdisciplinary Scientific Reasoning and Problem Solving in Engineering Science Education (dataset)

Transcriptions of semi-structured interviews underlying: Preliminary Higher Order Thinking Skills Framework for Interdisciplinary Scientific Reasoning and Problem Solving in Engineering Science Education

doi:10.4121/68679132-8c48-4633-9ad7-c6c8b9346b78.v1

The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/68679132-8c48-4633-9ad7-c6c8b9346b78

Datacite citation style:

Sivakumar, Kishore; Boon, Mieke (2024): Transcriptions of semi-structured interviews underlying: Preliminary Higher Order Thinking Skills Framework for Interdisciplinary Scientific Reasoning and Problem Solving in Engineering Science Education. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/68679132-8c48-4633-9ad7-c6c8b9346b78.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

categories

keywords

Engineering Education, Higher Order Thinking Skills, Interdisciplinary Research

licence

CC BY-NC-ND 4.0

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by K. Sivakumar

, Mieke Boon

This dataset supports a study investigating higher order thinking skills (HOTS) within the context of interdisciplinary problem solving and scientific reasoning (IDPSSR) in engineering science higher education. The primary aim of the research was to develop a preliminary HOTS framework for IDPSSR by synthesizing insights from relevant literature and expert interviews.

The dataset contains transcriptions from semi-structured interviews conducted with experienced scientists and educators involved in interdisciplinary teaching and research in engineering and science. These interviews were conducted to gather expert perspectives on HOTS in higher education for interdisciplinary contexts.

Content: Transcriptions of semi-structured interviews with experts. This dataset is valuable for researchers and educators interested in (i) developing frameworks for teaching HOTS in interdisciplinary contexts, (ii) exploring methods for fostering scientific reasoning and problem-solving in higher education, a and (iii) informing curriculum design in engineering and science education.

The dataset includes expert insights, which are context-specific and may require careful interpretation when applying findings to other educational settings. Data confidentiality is maintained, with identifying details anonymized to protect participant privacy. Also, it may contain grammatical and spelling errors.

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