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With the rapid evolution of Artificial Intelligence (AI), its potential implications for higher education have become a focal point of interest.
“Attention is all you need”
Ashish Vaswani et al · 2017
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Tom Brown et al · 2020
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“OpenAI GPT-3 Models”, 2020
OpenAI · 2020
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“OpenAI API Documentation: Parameters”, 2020
OpenAI · 2020
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“Evaluating large language models trained on code”
Mark Chen et al · 2021
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“Chain-of-Thought Prompting Elicits Reasoning in Large Language Models”
Jason Wei et al · 2022
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“A survey for in-context learning”
Qingxiu Dong et al · 2022
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“CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis”
Erik Nijkamp et al · 2022
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“Large Language Models are Zero-Shot Reasoners”
Takeshi Kojima et al · 2022
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“Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning”
David Baidoo-Anu and Leticia Owusu · 2023
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“ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?”
Jürgen Rudolph, Samson Tan and Shannon Tan · 2023
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“Artificial intelligence in teaching and learning: what questions should we ask of ChatGPT?”
Pericles‘asher’ Rospigliosi · 2023
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“War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education”
Jürgen Rudolph, Shannon Tan and Samson Tan · 2023
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“ChatGPT in physics education: A pilot study on easy-to-implement activities”
Philipp Bitzenbauer · 2023
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“Exploring Durham University Physics exams with Large Language Models”
Will Yeadon and Douglas Halliday · 2023
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“How do physics students evaluate artificial intelligence responses on comprehension questions? A study on the perceived scientific accuracy and linguistic quality of ChatGPT”
Merten Dahlkemper, Simon Lahme and Pascal Klein · 2023
“Mathematical capabilities of chatgpt”
Simon Frieder et al · 2023
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“Best practices for prompt engineering with OpenAI API” https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api , 2023
OpenAI · 2023
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“Prompt Engineering with ChatGPT: A Guide for Academic Writers”
Louie Giray · 2023
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“The CLEAR path: A framework for enhancing information literacy through prompt engineering”
Leo Lo · 2023
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“Check Me If You Can: Detecting ChatGPT-Generated Academic Writing using CheckGPT”
Zeyan Liu, Zijun Yao, Fengjun Li and Bo Luo · 2023
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Will Yeadon et al · 2023
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“ChatGPT for language teaching and learning”
Lucas Kohnke, Benjamin Moorhouse and Di Zou · 2023
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“Revolutionizing education with AI: Exploring the transformative potential of ChatGPT”
Tufan Adiguzel, Mehmet Kaya and Fatihürşat Cansu · 2023
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“Is ChatGPT the Ultimate Programming Assistant–How far is it?”
Haoye Tian et al · 2023
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Noah Shinn, Beck Labash and Ashwin Gopinath · 2023
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Mike Perkins et al · 2023
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“GPT detectors are biased against non-native English writers”
Weixin Liang et al · 2023
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Kai Greshake et al · 2023
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“Examining science education in chatgpt: An exploratory study of generative artificial intelligence”
Grant Cooper · 2023
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“Self-Consistency Improves Chain of Thought Reasoning in Language Models”
Xuezhi Wang et al · 2023
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