Research in learning technologies is often focused on optimizing some aspects of human learning. However, the usefulness of practical learning environments is heavily influenced by their weakest aspects, and, unfortunately, there are many things that can go wrong in the learning process. In this article, we argue that in many circumstances, it is…

Despite the naïve intuition that individuals' confidence in their future memory performance should increase with longer self-paced study time, it is commonly observed that the relation between invested study time and memory predictions (i.e., judgments of learning (JOLs)) is negative. This negative relation has been suggested to reflect use of the…

'Motionese' can be defined as an exaggerated and repetitive action. It induces preference and learning in infants. However, which action component of motionese promotes infants' preference and learning remains largely unknown. In this study, we focused on inefficiency and toward-ness of action. Our study demonstrates that observing an inefficient…

Creating concept maps is considered to be a powerful means for learning. It requires students to systematically organize and integrate their knowledge, which can foster meaningful learning. However, students scarcely spontaneously engage in the (meta)cognitive processes necessary for effective knowledge integration, such as reflection, which can…

Procedural arrangements of differential reinforcement of alternative behavior without extinction often involve presenting the same reinforcers for problem behavior and appropriate behavior, which is typically ineffective at reducing problem behavior and increasing an alternative response. However, manipulating reinforcement dimensions such that…

Purpose: The purpose of this study is to investigate the impact of strategic entrepreneurship on explorative and exploitative innovation in the presence of strategic learning capabilities. This study has also explored the moderating role of structural organicity between strategic entrepreneurship and strategic learning capabilities.…

This experimental study examined whether the uninformative anchoring effect, which should be ignored, on judgments of learning (JOLs) was eliminated through the learning experience. In the experiments, the participants were asked to predict whether their performance on an upcoming test would be higher or lower than the anchor value (80% in the…

The aim of this paper is to suggest perspectives on movement capability and movement skill learning that take into account the intrinsic, meaningful value of moving in terms of the experience of the mover as a learner and a knower. Two perspectives on movement capability and movement skill learning will be presented and discussed here:…

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…

A main goal of this paper is to complicate "learning loss" as the only, or even the main, thing schools should be concerned about as they respond to the COVID-19 pandemic. While schools have a responsibility to make sure students who are enrolled in school are learning, this cannot come at the cost of ignoring the other substantial…

Since statistical inference is a probabilistic generalization about a population analyzed on the basis of a sample, inferential reasoning demands producing reasons ("statistical" and "contextual") to substantiate and validate generalizations. To convey an understanding of students' inferential reasoning, we present a…

Artificial intelligence (AI) has generated a plethora of new opportunities, potential and challenges for understanding and supporting learning. In this paper, we position human and AI collaboration for socially shared regulation (SSRL) in learning. Particularly, this paper reflects on the intersection of human and AI collaboration in SSRL…

There are two main approaches to how statistical patterns are extracted from sequences: The transitional probability approach proposes that statistical learning occurs through the computation of probabilities between items in a sequence. The chunking approach, including models such as PARSER and TRACX, proposes that units are extracted as chunks.…

These proceedings contain the papers of the 20th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2023), held in Madeira Island, Portugal, from 21 to 23 October 2023 and organized by the International Association for Development of the Information Society (IADIS). The CELDA conference aims to address the…

This paper focuses on the learning that happens in everyday life, beyond the formal learning environments of schools, colleges, and universities or even beyond community and adult education. It draws on posthuman concepts of 'learning affect' and 'new worlds' to conceptualise this as 'invisible education', affective and transformative,…