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Hence, it is expected that engineering design pedagogy and practice should equally focus on engineering design problem-exploring (EDPE)\u2014a process of identifying or coming up with a new problem or need at the early-stage of design, and engineering design problem-solving (EDPS)\u2014a process of developing engineering design solutions to a given problem. However, studies suggest that EDPE is scarcely practiced or given attention to in academia and industry, unlike EDPS. The aim of this paper is to investigate the EDPE process for any information relating to its scarce practice in academia and industry. This is to explore how emerging technologies could support the process. Natural models and phenomena that explain the EDPE process are investigated, including the \u201crational\u201d and \u201cgarbage can\u201d models, and associated challenges identified. A computational framework that mimics the natural EDPE process is presented. The framework is based on Markovian model and computational technologies, including machine learning. A case study is conducted with a sample size of 43 participants drawn worldwide from the engineering design community in academia and industry. The case study result shows that the first-of-its-kind computational EDPE framework presented in this paper supports both novice and experienced design engineers in EDPE.<\/jats:p>","DOI":"10.1115\/1.4056496","type":"journal-article","created":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T06:10:48Z","timestamp":1671430248000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":4,"title":["A Computational Approach to Identifying Engineering Design Problems"],"prefix":"10.1115","volume":"145","author":[{"given":"Chijioke C.","family":"Obieke","sequence":"first","affiliation":[{"name":"School of Engineering, University of Liverpool Systems Realization Laboratory, Division of Industrial Design, , Brownlow Hill, Liverpool L69 3GH , UK"}]},{"given":"Jelena","family":"Milisavljevic-Syed","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Liverpool Systems Realization Laboratory, Division of Industrial Design, , Brownlow Hill, Liverpool L69 3GH , UK ;"},{"name":"Sustainable Manufacturing Systems Centre, School of Aerospace, Transportation and Manufacturing (SATM), Cranfield University , Cranfield, Bedfordshire MK43 0AL , UK"}]},{"given":"Arlindo","family":"Silva","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design Pillar of Engineering Product Development, , 8 Somapah Rd., Singapore 487372"}]},{"given":"Ji","family":"Han","sequence":"additional","affiliation":[{"name":"Business School, University of Exeter INDEX, , Tintagel House, 92 Albert Embankment, London SE1 7TY , UK"}]}],"member":"33","published-online":{"date-parts":[[2023,1,9]]},"reference":[{"issue":"1","key":"2023011116433178300_CIT0001","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3991\/ijep.v10i1.11033","article-title":"Defining Open-Ended Problem Solving Through Problem Typology Framework","volume":"10","author":"Olewnik","year":"2020","journal-title":"Int. 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