Richardson, Mary;
Leaton Gray, Sandra;
Popov, Jelena;
Maddox, Bryan;
(2023)
Computer-based tests and machine marking: candidates’ perceptions and beliefs about the test taking experience.
(PTE Academic
).
Pearson | PTE: London, UK.
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Abstract
When considering the present and future contexts of assessment research, it is important to explore the role of recent developments such as the increasing use of Artificial Intelligence (AI). Aspects of AI such as design and implementation, as well as its context within contemporary educational settings, are now necessary foci at both local and global levels. This research project presented a unique opportunity to build a detailed view of an AI-based English language testing model, PTE Academic, providing insights that hold the potential for transformational change. The research was carried out via a partnership between industry and academia and focused on the use of AI as embedded within an internationally recognised test. This meant that it also had an eye to contemporary global education contexts. As such, the enquiry builds on a long history of similar research in assessment, but with regard to new forms of 21st century examination practice and expectations. The research team viewed this project as entering unchartered waters in the realm of educational assessment because the use of AI in this domain is still relatively limited (e.g., Richardson and Clesham, 2021). It therefore presented an opportunity to establish a foundation for creating a body of well-evidenced research interrogating the experiences of candidates. It has allowed us to learn more about how stakeholders understand and interact with a particular testing regime within the expanding parameters of AI in education, and as such, it acts as a case study of current practice with wider relevance to assessment research.
| Type: | Report |
|---|---|
| Title: | Computer-based tests and machine marking: candidates’ perceptions and beliefs about the test taking experience |
| Publisher version: | https://www.pearsonpte.com/research/published-rese... |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Machine Marking, Language Assessment, Artificial Intelligence, Testing and AI, Testing, Assessment |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Curriculum, Pedagogy and Assessment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10177154 |
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