Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…

Many educational and psychological studies have shown that the development of students is generally step-by-step (i.e. ordinal development) to a specific level. This study proposed a novel longitudinal learning diagnosis model with polytomous attributes to track students' ordinal development in learning. Using the concept of polytomous attributes…

Considering the importance of mathematics in modern society, it is crucial to understand the cognitive processes involved in the acquisition of complex mathematical competency. As a new generation of evaluation theory, cognitive diagnosis has its unique advantages in personalized evaluation. Based on the mathematical cognitive framework of Trends…

To achieve adaptive learning, a dynamic assessment system equipped with a cognitive diagnosis was developed for this study, which adopts a three-stage model of diagnosis-intervention-assessment. To examine how this system influenced spatial geometry learning, the study used a quasi-experimental method to investigate student learning outcomes…

Learning path and learning progression have received extensive attention from broad disciplines. The existing research In the field of learning path is rarely applied in curriculum learning and teaching. Learning progression is usually constructed through observations, interviews but not quantitative analyses. With 726 Grade 8 students'…

Dynamic Assessment (DA) is an interactive form of cognitive assessment used by some educational psychologists (EPs) to assess the learning potential of children and young people, through a focus on cognitive and affective aspects of learning. In terms of UK EP practice, this approach has the potential to complement the focus on 'person-centred…

Past studies have demonstrated the educational impact of achievement goals, but have not yet captured their effects at a critical learning moment--students' response to negative feedback and their subsequent engagement with error remediation opportunities. We used event-related potentials to investigate how neural substrates of feedback processing…

Based on Finn and Ledbetter's (2013; 2014) work regarding classroom technology policies, this experimental study examined the implementation of a permissive and a restrictive cellular phone policy and the effect of these policies on students' cognitive and affective learning in two sections of a public speaking course. College students (N = 31)…

The Gain-Loss model is a probabilistic skill multimap model for assessing learning processes. In practical applications, more than one skill multimap could be plausible, while none corresponds to the true one. The article investigates whether constraining the error probabilities is a way of uncovering the best skill assignment among a number of…

Learning to learn (L2L) is an important component of lifelong learning. First, the article discusses various possible definitions of L2L and identifies the most comprehensible definition, which provides the basis for the analysis. Subsequently, it presents the results of a pilot study carried out in the early stage of primary education. This study…

In event-based prospective memory, current theories make differing predictions as to whether intention-related material can be spontaneously noticed (i.e., noticed without relying on preparatory attentional processes). In 2 experiments, participants formed an intention that was contextually associated to the final phase of the experiment, and…

In multiple-list learning, retrieval during learning has been suggested to improve recall of the single lists by enhancing list discrimination and, at test, reducing interference. Using electrophysiological, oscillatory measures of brain activity, we examined to what extent retrieval during learning facilitates list encoding. Subjects studied 5…

Learning-related behaviors are important for school success. Socioeconomic disadvantage confers risk for less adaptive learning-related behaviors at school entry, yet substantial variability in school readiness exists within socioeconomically disadvantaged populations. Investigation of neurophysiological systems associated with learning-related…

In this theoretical paper, I present a short critical review of research on calibration. Based on this conceptual analysis I argue for two extensions of this construct: In addition to traditional applications, the methodology should be transferred to also measure calibration between students' metacognitive control processes (traditionally, only…

Humans have an extremely flexible ability to categorize regularities in their environment, in part because of attentional systems that allow them to focus on important perceptual information. In formal theories of categorization, attention is typically modeled with weights that selectively bias the processing of stimulus features. These theories…