Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and Engineering Article Swipe
Paramarshi Banerjee
,
Anurag Srivastava
,
Donald Adjeroh
,
Y. Ramana Reddy
,
Nima Karimian
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.22639705.v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.22639705.v1
ChatGPT has become the most popular regenerative AI application, used for obtaining responses for queries in different domains. Some responses of ChatGPT reported in the internet are accurate, others are funny, and some are fictitious. This article focuses on the application of ChatGPT for academic instructional purposes in the field of Computer engineering and related majors. The capability of ChatGPT for instructional purposes is evaluated by providing responses to different questions pertaining to these engineering streams. This article explores different opportunities with use cases, ChatGPT can provide in augmenting the learning experience. It also provides scenarios of limitations and modifying the evaluation process to prevent the use of ChatGPT for unethical means of learning.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.36227/techrxiv.22639705.v1
- https://www.techrxiv.org/articles/preprint/Understanding_ChatGPT_Impact_Analysis_and_Path_Forward_for_Teaching_Computer_Science_and_Engineering/22639705/1/files/40181740.pdf
- OA Status
- gold
- Cited By
- 7
- References
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- Related Works
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- OpenAlex ID
- https://openalex.org/W4366404108
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4366404108Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.36227/techrxiv.22639705.v1Digital Object Identifier
- Title
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Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and EngineeringWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-04-19Full publication date if available
- Authors
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Paramarshi Banerjee, Anurag Srivastava, Donald Adjeroh, Y. Ramana Reddy, Nima KarimianList of authors in order
- Landing page
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https://doi.org/10.36227/techrxiv.22639705.v1Publisher landing page
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https://www.techrxiv.org/articles/preprint/Understanding_ChatGPT_Impact_Analysis_and_Path_Forward_for_Teaching_Computer_Science_and_Engineering/22639705/1/files/40181740.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.techrxiv.org/articles/preprint/Understanding_ChatGPT_Impact_Analysis_and_Path_Forward_for_Teaching_Computer_Science_and_Engineering/22639705/1/files/40181740.pdfDirect OA link when available
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7Total citation count in OpenAlex
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2024: 4, 2023: 3Per-year citation counts (last 5 years)
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| abstract_inverted_index.others | 28 |
| abstract_inverted_index.ChatGPT | 21, 42, 59, 84, 108 |
| abstract_inverted_index.article | 36, 77 |
| abstract_inverted_index.focuses | 37 |
| abstract_inverted_index.majors. | 55 |
| abstract_inverted_index.popular | 5 |
| abstract_inverted_index.prevent | 104 |
| abstract_inverted_index.process | 102 |
| abstract_inverted_index.provide | 86 |
| abstract_inverted_index.queries | 14 |
| abstract_inverted_index.related | 54 |
| abstract_inverted_index.Computer | 51 |
| abstract_inverted_index.academic | 44 |
| abstract_inverted_index.domains. | 17 |
| abstract_inverted_index.explores | 78 |
| abstract_inverted_index.internet | 25 |
| abstract_inverted_index.learning | 90 |
| abstract_inverted_index.provides | 94 |
| abstract_inverted_index.purposes | 46, 62 |
| abstract_inverted_index.reported | 22 |
| abstract_inverted_index.streams. | 75 |
| abstract_inverted_index.accurate, | 27 |
| abstract_inverted_index.different | 16, 69, 79 |
| abstract_inverted_index.evaluated | 64 |
| abstract_inverted_index.modifying | 99 |
| abstract_inverted_index.obtaining | 11 |
| abstract_inverted_index.providing | 66 |
| abstract_inverted_index.questions | 70 |
| abstract_inverted_index.responses | 12, 19, 67 |
| abstract_inverted_index.scenarios | 95 |
| abstract_inverted_index.unethical | 110 |
| abstract_inverted_index.augmenting | 88 |
| abstract_inverted_index.capability | 57 |
| abstract_inverted_index.evaluation | 101 |
| abstract_inverted_index.pertaining | 71 |
| abstract_inverted_index.application | 40 |
| abstract_inverted_index.engineering | 52, 74 |
| abstract_inverted_index.experience. | 91 |
| abstract_inverted_index.fictitious. | 34 |
| abstract_inverted_index.limitations | 97 |
| abstract_inverted_index.application, | 8 |
| abstract_inverted_index.regenerative | 6 |
| abstract_inverted_index.instructional | 45, 61 |
| abstract_inverted_index.opportunities | 80 |
| abstract_inverted_index.<p>ChatGPT | 0 |
| abstract_inverted_index.learning.</p> | 113 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5100745228 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I12097938 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.63920829 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |