Experiences with Remote Examination Formats in Light of GPT-4

C. Stray, “The shift from oral to written examination: Cambridge and oxford 1700–1900,” Assessment in Education: Principles, Policy & Practice , vol. 8, no. 1, pp. 33–50, 2001

2001

Earlier work this paper cites.

H. Gharibyan, “Assessing students’ knowledge: oral exams vs. written tests,” ACM SIGCSE Bulletin , vol. 37, no. 3, pp. 143–147, 2005

2005

Earlier work this paper cites.

D. Lapakko, “Communication is 93% nonverbal: An urban legend proliferates,” Communication and Theater Association of Minnesota Journal , vol. 34, no. 1, p. 2, 2007

2007

Earlier work this paper cites.

M. Huxham, F. Campbell, and J. Westwood, “Oral versus written assessments: A test of student performance and attitudes,” Assessment & Evaluation in Higher Education , vol. 37, no. 1, pp. 125–136, 2012

2012

Earlier work this paper cites.

C. Scaffidi, “Employers’ needs for computer science, information technology and software engineering skills among new graduates,” International Journal of Computer Science, Engineering and Information Technology , vol. 8, no. 1, pp. 1–12, 2018

2018

Earlier work this paper cites.

S. Hatzipanagos, A. Tait, and L. Amrane-Cooper, “Towards a post covid-19 digital authentic assessment practice: when radical changes enhance the student experience,” in EDEN Conference Proceedings , no. 1, 2020, pp. 59–65

2020

Cited alongside, same era.

S. T. Graf, F. Rasmussen, and D. Ruge, “Online oral examination during covid-19: A survey study on university college level,” Tidsskriftet Læring og Medier (LOM) , vol. 14, no. 24, 2021

2021

Cited alongside, same era.

M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. d. O. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman et al. , “Evaluating large language models trained on code,” arXiv preprint arXiv:2107.03374 , 2021

Original

2021

Cited alongside, same era.

J. C. Paiva, J. P. Leal, and Á. Figueira, “Automated assessment in computer science education: A state-of-the-art review,” ACM Transactions on Computing Education (TOCE) , vol. 22, no. 3, pp. 1–40, 2022

2022

Cited alongside, same era.

P. Alin, A. Arendt, and S. Gurell, “Addressing cheating in virtual proctored examinations: toward a framework of relevant mitigation strategies,” Assessment & Evaluation in Higher Education , pp. 1–14, 2022

2022

Later among the works it cites.

B. Puryear and G. Sprint, “Github copilot in the classroom: learning to code with ai assistance,” Journal of Computing Sciences in Colleges , vol. 38, no. 1, pp. 37–47, 2022

Original

2022

Later among the works it cites.

T. Eloundou, S. Manning, P. Mishkin, and D. Rock, “Gpts are gpts: An early look at the labor market impact potential of large language models,” 2023

2023

Closest in time.

E. Kasneci, K. Seßler, S. Küchemann, M. Bannert, D. Dementieva, F. Fischer, U. Gasser, G. Groh, S. Günnemann, E. Hüllermeier et al. , “Chatgpt for good? on opportunities and challenges of large language models for education,” Learning and Individual Differences , vol. 103, p. 102274, 2023

2023

Closest in time.