In tutoring systems, a pedagogical policy, which decides the next action for the tutor to take, is important because it determines how well students will learn. An effective pedagogical policy must adapt its actions according to the student's features, such as knowledge, error patterns, and emotions. For adapting difficulty, it is common to…

We present a conceptual impact model illustrating how digital tools can facilitate the fulfillment of basic psychological needs, autonomy, competence and relatedness, which in turn may foster improvements in self-regulation and emotion regulation. The model incorporates features of digital tools such as personalized learning paths, real-time…

The Higher Education sector has been through an array of changes, such as globalisation, massification, lack of job security, decolonisation and a number of technological advancements. These changes have impacted academic workload and have increased work pressure with resultant effects on family and work life balance. A review of the existing…

Reinforcement learning approaches to cognitive modeling represent task acquisition as learning to choose the sequence of steps that accomplishes the task while maximizing a reward. However, an apparently unrecognized problem for modelers is choosing when, what, and how much to reward; that is, when (the moment: end of trial, subtask, or some other…

School inspection is used by most European education systems as a major instrument for controlling and promoting the quality of schools. Surprisingly, there is little research knowledge about how school inspections drive the improvement of schools and which types of approaches are most effective and cause the least unintended consequences. The…

Although many scholars and practitioners are interested in understanding how to motivate individuals to be more creative, whether and how rewards affect creativity remain unclear. We argue that the conflicting evidence may be due to differences between studies in terms of reward conditions and the context in which rewards are offered.…

Purpose: This study presents an application of the theoretical domains framework (TDF; Michie et al., 2005), an integrative framework drawing on behavior-change theories, to speech-language pathology. Methods: A multistep procedure was used to identify barriers affecting caregivers' implementation of shared-reading interventions with their…

The drift-diffusion model (DDM) implements an optimal decision procedure for stationary, 2-alternative forced-choice tasks. The height of a decision threshold applied to accumulating information on each trial determines a speed-accuracy tradeoff (SAT) for the DDM, thereby accounting for a ubiquitous feature of human performance in speeded response…

As teachers, we want to motivate our students to learn during a unit and to continue learning about the topic after the unit ends. This article describes about a hundred methods we use to help motivate students to learn. The methods form 12 categories: (1) making content relevant to student values and goals; (2) helping students achieve their…

Experiment studied the effectiveness of social reinforcement by a model who demonstrated varying degrees of commitment to the norm of giving or social responsibility. (Authors)

REINFORCEMENT CONCEPTS DERIVED LARGELY FROM RESEARCH OF SUBHUMAN SUBJECTS WERE TESTED FOR APPLICABILITY TO HUMAN-LEARNING SITUATIONS SIMILAR TO THOSE THAT OCCUR IN SCHOOLS. A SERIES OF EXPLORATORY STUDIES CONDUCTED IS DESCRIBED IN PART II OF THIS REPORT. IN PART III, TWO EXPERIMENTS CONDUCTED TO DETERMINE THE REINFORCING VALUE OF DIFFERENT STIMULI…

This study focused on the processes occurring during the waiting period in delay of gratification situations. Sixty-four middle class preschool children chose between waiting for a preferred item and receiving a less desired item immediately. The items were of different classes, i. e., one food and one toy, and subjects waited with one, both, or…

This paper reports on a study conducted to clarify issues involving reward effects in children's probability learning; specifically, the detrimental-effects-of-reward theory, and the utility and expectancy theories. Five event schedules in which the probabilistic versus partial reinforcement dimension was separated from the number of choices in…