All Outputs (4)

Student interaction with a virtual learning environment: an empirical study of online engagement behaviours during and since the time of COVID-19. (2023)
Presentation / Conference Contribution
JOHNSTON, P., ZARB, M. and MORENO-GARCIA, C.F. 2023. Student interaction with a virtual learning environment: an empirical study of online engagement behaviours during and since the time of COVID-19. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2023),18-21 October 2023, College Station, TX, USA. Piscataway: IEEE [online], article number 10343048. Available from: https://doi.org/10.1109/fie58773.2023.10343048

This paper presents an experience report of online attendance and associated behavioural patterns during a module in the first complete semester undertaken fully online in the autumn of 2020, and the corresponding module deliveries in 2021 and 2022.... Read More about Student interaction with a virtual learning environment: an empirical study of online engagement behaviours during and since the time of COVID-19..

Exploring independent learning (IL) and its relationship to mindset, motivated strategies for learning and academic performance. (2023)
Journal Article
FORBES-MCKAY, K.E., BREMNER, P.A.M., JOHNSTON, P. and AIR, C. [2024]. Exploring independent learning (IL) and its relationship to mindset, motivated strategies for learning and academic performance. Journal of applied research in higher education [online], EarlyCite. Available from: https://doi.org/10.1108/jarhe-06-2023-0253

This study addresses gaps in the existing literature on students' understanding of Independent Learning (IL), whilst exploring the link between levels of IL, growth mindset, motivated strategies for learning and academic performance. Three hundred an... Read More about Exploring independent learning (IL) and its relationship to mindset, motivated strategies for learning and academic performance..

Unmasking the imposters: task-specific feature learning for face presentation attack detection. (2023)
Presentation / Conference Contribution
ABDULLAKUTTY, F., ELYAN, E. and JOHNSTON, P. 2023. Unmasking the imposters: task-specific feature learning for face presentation attack detection. In Proceedings of the 2023 International joint conference on neural networks (IJCNN2023), 18-23 June 2023, Gold Coast, Australia. Piscataway: IEEE [online], 10191953. Available from: https://doi.org/10.1109/IJCNN54540.2023.10191953

Presentation attacks pose a threat to the reliability of face recognition systems. A photograph, a video, or a mask representing an authorised user can be used to circumvent the face recognition system. Recent research has demonstrated high accuracy... Read More about Unmasking the imposters: task-specific feature learning for face presentation attack detection..

Exploring students' independent learning and its relationship to mindset and academic performance. (2023)
Presentation / Conference Contribution
FORBES-MCKAY, K.E., BREMNER, P. and JOHNSTON, P. 2023. Exploring students' independent learning and its relationship to mindset and academic performance. Presented at the 2023 International higher education teaching and learning annual conference (HETL 2023): re-imagining education: collaboration and compassion, 12-14 June 2023, Aberdeen, UK.

There is increasing interest in the role of independent learning (IL) in higher education (Thomas, 2015). Indeed, several studies demonstrate the impact of IL on students' academic achievement (Difrancesca et al. 2016). Research also suggests that mo... Read More about Exploring students' independent learning and its relationship to mindset and academic performance..