In this special issue, we explore the decision-making aspect of "data-based decision-making". The articles in the issue address a wide range of research questions, designs, methods, and analyses, but all focus on data-based decision-making for students with learning difficulties. In this first article, we introduce the topic of…

Many randomized experiments in the social sciences allocate subjects to treatment arms at the time the subjects enroll. Desirable features of the mechanism used to assign subjects to treatment arms are often (1) equal numbers of subjects in intervention and control arms, (2) balanced allocation for population subgroups and across covariates, (3)…

Functional behavior assessment (FBA) is the process of collecting data to determine the function of an individual's behavior to develop a functionally-indicated behavioral intervention (BIP). Special adaptations may be needed to conduct FBA and implement BIPs in alternative educational settings. In this article, we highlight suggestions for…

Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…

This article explores how the three aspects of Striphas' notion of algorithmic culture (information, crowds and algorithms) might influence and potentially disrupt established educational practices. We draw on our experience of introducing semantic web and linked data technologies into higher education settings, focussing on extended student…

Although peer nomination measures have been used by researchers for nearly a century, common methodological practices and rules of thumb (e.g., which variables to measure; use of limited vs. unlimited nomination methods) have continued to develop in recent decades. At the same time, other key aspects of the basic nomination procedure (e.g.,…

Although conducting psychological research within schools has always required effort, persistence, and the careful navigation of various interests, there is a consensus among child and adolescent researchers that, over the past 2 decades, it has become increasingly difficult to collect data within schools. In this chapter, we lay out common and…

Teachers face considerable and increasing pressure in their working lives. Labor intensification compels teachers to work faster, harder, and longer. However, teachers also experience increasing external control over what they teach and how they teach. These processes are increasingly made possible by the "datafication" of teaching,…

Ask Dr. Discovery is an NSF-funded study addressing the need for ongoing, large-scale museum evaluation while investigating new ways to encourage museum visitors to engage deeply with museum content. To realize these aims, we are developing and implementing a mobile app with two parts: (1) a front-end virtual scientist called Dr. Discovery (Dr. D)…

This work presents a simple analogue waterproof temperature probe design and its electronic interfacing with a computer to compose a data acquisition system for water temperature measurement. It also demonstrates the system usage through an experiment to verify the water heating period with an electric heater and another to verify the Newton's law…

Counting problems offer rich opportunities for students to engage in mathematical thinking, but they can be difficult for students to solve. In this paper, we present a study that examines student thinking about one concept within counting, factorials, which are a key aspect of many combinatorial ideas. In an effort to better understand students'…

The aim of this study was to investigate the ways in which textile materials and techniques are expressed in contemporary art in Finland. The first phase of data collection was to identify a population of Finnish artists who use textile craft-based forms in their art and who produce their works themselves. After that, six discretionary selected…

The assessment and understanding of students' ideas in discourse have often been a difficult problem for teachers to tackle. Recent innovations and technologies such as text mining can provide a partial solution by generating an estimated count of important keywords which are representative of ideas within discourse. However, investigating idea…

Prompted by discovering a paper written in 1980 which described a process of 'ethnography by proxy', I revisit this concept in the light of two research projects: a workplace study of an electronics company conducted in the early 1990s and a later home-based study of young children's encounters with toys and technology. The paper defines…

There is an increasing body of research which examines the reliability and validity of different modes of network measurement with most studies focusing on the classical paper or digital network questionnaires. Visual methods of data collection, in which interviewees draw their ego-centered network in a pictorial representation, still live a kind…