Results 161 to 170 of about 104,191 (236)

The impact of generative AI on academic integrity of authentic assessments within a higher education context

open access: yesBritish Journal of Educational Technology, EarlyView.
Generative AI (hereinafter GenAI) technology, such as ChatGPT, is already influencing the higher education sector. In this work, we focused on the impact of GenAI on the academic integrity of assessments within higher education institutions, as GenAI can be used to circumvent assessment approaches within the sector, compromising their quality.
Alexander K. Kofinas   +2 more
wiley   +1 more source

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi   +4 more
wiley   +1 more source

Are feature assignment errors due to attraction? The case of Bulgarian numeral phrase. [PDF]

open access: yesFront Psychol
Khristov D   +4 more
europepmc   +1 more source

The method of loci in the context of psychological research: A systematic review and meta‐analysis

open access: yesBritish Journal of Psychology, EarlyView.
Abstract This systematic review and meta‐analysis aimed to evaluate (1) the effectiveness of the method of loci (MoL) in enhancing recall in adults, (2) its underlying cognitive mechanisms, and (3) its neurobiological correlates. Studies on adult populations were included from multiple databases.
Jan Ondřej
wiley   +1 more source

The Location of Deponency [PDF]

open access: yes, 2006
Baerman, Matthew
core  

Distinguishing cause from effect in psychological research: An independence‐based approach under linear non‐Gaussian models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Distinguishing cause from effect – that is, determining whether x causes y (x → y) or, alternatively, whether y causes x (y → x) – is a primary research goal in many psychological research areas. Despite its importance, determining causal direction with observational data remains a difficult task.
Dexin Shi   +3 more
wiley   +1 more source

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