When people remember together, what one person says can affect what others report. The size of this effect is dependent on the characteristics of the people and how they express their beliefs. The power relationship among people affects much of their social cognition, including the size of this "memory conformity" effect. Some research…

Successful recognition is generally thought to be based on both recollection and familiarity of studied information. Recent studies found that making judgments of learning (JOLs) can reactively facilitate recognition performance, a form of reactivity effect on memory. The current study aimed to explore the roles of recollection and familiarity in…

Learning takes time: Performance usually starts poorly and improves with practice. Do children intuit this basic phenomenon of skill learning? In preregistered Experiment 1 (n = 125; 54% female; 48% White; collected 2022-2023), US 7- to 8-year-old children predicted improved performance, 5- to 6-year-old children predicted flat performance, and…

This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…

In this article, we explore the extraction of recursive nested structure in the processing of binary sequences. Our aim was to determine whether humans learn the higher-order regularities of a highly simplified input where only sequential-order information marks the hierarchical structure. To this end, we implemented a sequence generated by the…

Although feedback is a widely used intervention for improving performance, it is unclear what characteristics individuals prefer and what is necessary for it to be effective. The purpose of this study was to systematically extend Simonian and Brand (2022) by addressing the limitations of the study and adding a best-treatment phase. During an…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…

Self-regulated learning has seen a large increase in research interest due to its importance for online learning of higher education students. Several ways to measure self-regulated learning have been suggested. However, most measurements are either obtrusive, necessitating time and effort from students and potentially influencing the learning…

Within the commognitive perspective, ritual and explorative routines are used in a very particular way to distinguish students' routines according to whether they are driven by social reward or by generating a substantiated narrative. Explorative routines in this theorisation may refer not to inquiry-based activity but to the result of a student's…

This article provides a conceptual review of the principles of input spacing as they might relate specifically to oral task repetition research and presents some of the common methodological considerations from the broader input spacing literature. The specific considerations discussed include the interaction between intersession intervals and…

In order to learn more about student understanding of the structure of proofs, we generated a novel genre of tasks called "Proof Without Claim" (PWC). Our work can be viewed as an extension of Selden and Selden's (1995) construct of "proof framework"; while Selden and Selden discuss how the structure of a proof can be discerned…

The challenge posed by algebra story problems creates a significant hurdle for many students, transcending both the mathematical content of the problem and the specific instructional background received. This study offers a distinctive contribution to the existing literature by focusing on the cognitive conditions essential for comprehension in…

Casadevante et al. (Curr Psychol 42: 4272-4285, 2023) used an objective test and found that regulation of response speed was related to better performance in a category learning task. The present study aims at analysing whether the relation between regulation of response speed and learning exists in an associative learning task. We developed ad…

Curiosity predicts memory performance and it is influenced by prior knowledge. Reading a well-organized text can increase curiosity in a classroom setting, however it is not clear if reading a short text written in an encyclopedic style can increase curiosity and learning without explicit educational goals. We presented participants with a short…

In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…