This paper seeks to introduce a meaning-making process called 'sensuous abstraction' as one approach to aesthetic experience in line with Dewey's philosophy. Dewey highlights aesthetic experience as the best form of experience that integrates emotional and intellectual qualities to foster deep learning and insights. Building on contemporary…

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…

Interactive videos are frequently employed in education. Although several reviews and syntheses indicate that interactively engaging with videos might benefit learning, up until now no quantitative synthesis of the effectiveness of enhanced interaction features in educational videos has been published. Enhanced interaction features explicitly aim…

Student motivation has been conceived as a crucial factor in the learning processes. However, research in motivation and creative learning in the secondary education music classroom has been limited. Student motivation is explored in this article through a collaborative action research study, in the form of several projects centred on the creation…

We explored the possibility that in order for longer-form expressions of reinforcement learning ("win-calmness, loss-restlessness") to manifest across tasks, they must first develop because of micro-transactions within tasks. We found no evidence of "win-calmness" or "loss-restlessness" when wins could not be…

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…