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Still others have commented critically on learning engineering's use of metaphors and figurative language. Often a term or metaphor carries a different meaning for professionals or academics from different domains. At times a term that is used positively in one ___domain carries a strong negative perception in another ___domain.<ref>{{Cite book |last1=Chandler |first1=Chelsea |url=https://sagroups.ieee.org/icicle/wp-content/uploads/sites/148/2020/07/ICICLE_Proceedings_Learning-Engineering.pdf |title=Proceedings of the 2019 Conference on Learning Engineering |last2=Kessler |first2=Aaron |last3=Fortman |first3=Jacob |date=2020 |publisher=IEEE IC Consortium on Learning Engineering |chapter=Language Matters: Exploring the Use of Figurative Language at ICICLE 2019}}</ref>
== Challenges for
The multidisciplinary nature of learning engineering creates challenges. The problems that learning engineering attempts to solve often require expertise in diverse fields such as [[software engineering]], [[instructional design]], [[___domain knowledge]], [[pedagogy]]/[[andragogy]], [[psychometrics]], [[learning sciences]], [[data science]], and [[systems engineering]]. In some cases, an individual Learning Engineer with expertise in multiple disciplines might be sufficient. However, learning engineering problems often exceed any one person’s ability to solve.
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