Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

Mental models and cognitive maps have been used in college business education as an instructional design technique, assessment tool, and learning strategy. The authors propose a novel use of mental models and cognitive maps as a device to elicit students' challenges in learning the domain knowledge of a course. Such usage is illustrated in a…

In this paper, we investigate the effect of neighbourhood density (ND) on vocabulary size in a computational model of vocabulary development. A word has a high ND if there are many words phonologically similar to it. High ND words are more easily learned by infants of all abilities (e.g. Storkel, 2009; Stokes, 2014). We present a neural network…

Learning to navigate toward a goal is an essential skill. Place learning is thought to rely on the ability of animals to associate the location of a goal with surrounding environmental cues. Using the Morris water maze, a task popularly used to examine place learning, we demonstrate that distal cues provide animals with distance and directional…

To gain insight in the social processes that underlie knowledge sharing in teams, this article questions which team learning behaviors lead to the construction of a shared mental model. Additionally, it explores how the development of shared mental models mediates the relation between team learning behaviors and team effectiveness. Analyses were…

This investigation tests Wittrock's generative learning model as an explanation for the positive relationship found between quizzing and student performance in a number of studies. Results support the theory, suggesting that quizzes structured to include multiple levels of Bloom, Engelhart, Furst, Hill and Krathwohl's (1956) taxonomy, and thereby…

We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to…

Explores the utility of mental models as learning outcomes in using complex and situated learning environments. Describes two studies: one aimed at eliciting mental models in the heads of novice refrigeration technicians, and the other an ethnographic study eliciting knowledge and models within the community of experienced refrigeration…

This paper outlines the components of initial cognitive skill acquisition and analyses features of elaborations in the instructional materials that can facilitate each component. Three basic components of skill learning are identified: (1) learning novel concepts and the functionality of novel concepts and procedures; (2) learning how to execute…

Exploring material from the ERIC database and other sources, the report (1) annotates introductory articles regarding the assessment, categorization, and implications of learning styles, showing how they relate to communication literature research; (2) describes H. Witkin's extensive cognitive style research; and (3) details L. Curry's review of…

Discusses (1) the need for teachers to understand student conceptions; (2) alternative conceptions that students formulate; (3) changing conceptions; (4) representing conceptual knowledge for studying conceptual change; (5) strategies for inducing change; and (6) a taxonomy of conceptual change. (Contains 61 references.) (MDH)