Designing and building OSCEBot ® for virtual OSCE - Performance evaluation.

With AI's advancing technology and chatbots becoming more intertwined in our daily lives, pedagogical challenges are occurring. While chatbots can be used in various disciplines, they play a particularly significant role in medical education. We present the development process of OSCEBot ®, a chatbot to train medical students in the clinical interview approach.

A suggestive approach for assessing item quality, usability and validity of Automatic Item Generation.

Automatic Item Generation (AIG) refers to the process of using cognitive models to generate test items using computer modules. It is a new but rapidly evolving research area where cognitive and psychometric theory are combined into digital framework. However, assessment of the item quality, usability and validity of AIG relative to traditional item development methods lacks clarification.

Empirical validation study and psychometric evaluation of the properties of the populist attitudes scale for the portuguese population.

Background And Objective: Recent developments in Europe and Portugal provide a fertile ground for the rise of populism. Despite the growing interest in the topic, there is no reliable tool to gauge Portuguese citizens' populist attitudes to date. The Populist Attitudes Scale (POP-AS), developed by Akkerman et al.

We vote for the person, not the policies: a systematic review on how personality traits influence voting behaviour.

Western democracies' voting practices have altered recently, most notably with candidates now taking center stage at the expense of the institutions. These events are the result of a phenomenon called the personalisation of politics. The present review aims to synthesize evidence regarding the impact of voters' evaluation of candidates' traits on political outcomes and the effects of voters' traits on voting.

Feasibility assurance: a review of automatic item generation in medical assessment.

Background: Current demand for multiple-choice questions (MCQs) in medical assessment is greater than the supply. Consequently, an urgency for new item development methods arises. Automatic Item Generation (AIG) promises to overcome this burden, generating calibrated items based on the work of computer algorithms.

Applicability and validation of the Reaction to Tests Scale (RTT) in a sample of Portuguese medical students.

Background: Test anxiety is a crucial factor in determining academic outcomes, and it may lead to poor cognitive performance, academic underachievement, and psychological distress, interfering specifically with their ability to think and perform during tests. The main objective of this study was to explore the applicability and psychometric properties of a Portuguese version of the Reactions to Tests scale (RTT) in a sample of medical students.

Method: A sample of 672 medical students completed the RTT.