Opportunities and challenges of using generative AI to personalize educational assessment.

In line with the positive effects of personalized learning, personalized assessments are expected to maximize learner motivation and engagement, allowing learners to show what they truly know and can do. Considering the advances in Generative Artificial Intelligence (GenAI), in this perspective article, we elaborate on the opportunities of integrating GenAI into personalized educational assessments to maximize learner engagement, performance, and access. We also draw attention to the challenges of integrating GenAI into personalized educational assessments regarding its potential risks to the assessment's core values of validity, reliability, and fairness.

Readers' reliance on source credibility in the service of comprehension.

The current project examined the impact of knowledge about the credibility of sources on readers' processing of texts. Participants read texts in which information about characters was provided by either a credible or a noncredible source; this information suggested that the character potentially possessed a particular trait. A subsequent text episode offered the opportunity for participants to apply any inferred trait to their understanding of unfolding story events.

Discourse processing-examining our everyday language experiences.

Studies of discourse processing focus on the ways in which readers and listeners comprehend language. The linguistic segments of interest to the field tend to be larger than sound, word, or sentence-level units; they include the books and conversational communications that comprise our everyday cognitive and social interactions. The current review focuses on discourse comprehension (specifically text processing), highlighting three core issues of primary interest to the research field.