Learning engineering: Difference between revisions

Revision as of 10:06, 15 December 2024

Revision as of 10:07, 15 December 2024

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Similarly, researchers Kelli Bird and Benjamin Castlemen’s work focuses on creating an algorithm to provide automatic, personalized guidance for transfer students.<ref>{{Cite web|last1=Castleman|first1=Benjamin|last2=Bird|first2=Kelli|title=Personalized Pathways to Successful Community College Transfer: Leveraging machine learning strategies to customized transfer guidance and support|url=https://www.povertyactionlab.org/evaluation/personalized-pathways-successful-community-college-transfer-leveraging-machine-learning|access-date=2020-07-21|website=The Abdul Latif Jameel Poverty Action Lab (J-PAL)|language=en}}</ref> The algorithm is a response to the finding that while 80 percent of community college students intend to transfer to a four-year institution, only roughly 30 percent actually do so.<ref>{{Cite web|last1=Ginder|first1=S.|last2=Kelly-Reid|first2=J.E.|last3=Mann|first3=F.B.|date=2017-12-28|title=Enrollment and Employees in Postsecondary Institutions, Fall 2016; and Financial Statistics and Academic Libraries, Fiscal Year 2016: First Look (Provisional Data)|url=https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2018002|access-date=2020-07-21|website=National Center for Employment Statistics|language=EN}}</ref> Such research could lead to a higher pass/fail rate<ref>{{Cite journal|last1=Kakish|first1=Kamal|last2=Pollacia|first2=Lissa|date=2018-04-17|title=Adaptive Learning to Improve Student Success and Instructor Efficiency in Introductory Computing Course|url=https://www.researchgate.net/publication/324574230}}</ref> and help educators know when to intervene to prevent student failure or drop out.<ref>{{Cite web|last=Delaney|first=Melissa|date=2019-05-31|title=Universities Use AI to Boost Student Graduation Rates|url=https://edtechmagazine.com/higher/article/2019/05/universities-use-ai-boost-student-graduation-rates|access-date=2020-07-21|website=Technology Solutions That Drive Education|language=en}}</ref><ref>{{Cite journal|last1=Kakish|first1=Kamal|last2=Pollacia|first2=Lissa|date=2018-04-17|title=Adaptive Learning to Improve Student Success and Instructor Efficiency in Introductory Computing Course|url=https://www.researchgate.net/publication/324574230}}</ref>

== Criticisms of Learninglearning Engineeringengineering ==

Researchers and educational technology commentators have published critiques of learning engineering. <ref name=":0" /><ref>{{Cite journal |last=Lee |first=Victor R.|author-link = Victor R. Lee|date=2022-08-12 |title=Learning sciences and learning engineering: A natural or artificial distinction? |journal=Journal of the Learning Sciences |volume=32 |issue=2 |pages=288–304 |doi=10.1080/10508406.2022.2100705 |s2cid=251547280 |issn=1050-8406|doi-access=free }}</ref> The criticisms raised include that learning engineering misrepresents the field of [[learning sciences]] and that despite stating it is based on [[cognitive science]], it actually resembles a return to [[behaviorism]]. Others have also commented that learning engineering exists as a form of [[surveillance capitalism]]. Other fields, such as [[Instructional Systems Design|instructional systems design]], have criticized that learning engineering rebrands the work of their own field.

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>