This paper reports on usage and impact on learning achievements of a dashboard developed to help monitor self-regulated learning behaviours in an online professional development path. The design of the path as well as of the dashboard were grounded on a pre-existing conceptual framework distinguishing between four different types of self-regulated…

Writing fieldnotes is an important part of ethnographic research. However, there is a striking lack of discussions about how different ways of producing fieldnotes may influence ethnographic research and meaning-making. The use of "shorthand notation" is sometimes mentioned as a tool to increase the speed and efficiency of note-taking,…

Response process validity evidence provides a window into a respondent's cognitive processing. The purpose of this study is to describe a new data collection tool called a whole-class think aloud (WCTA). This work is performed as part of test development for a series of problem-solving measures to be used in elementary and middle grades. Data from…

A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…

The importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of…

The aim of this study was to predict university students' learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strategies from system logs, emotions from videos of facial expressions,…

This study investigates our role as early years researchers in qualitative data analysis. We draw on our doctoral studies to address how the co-construction, co-performance and co-reflection of narratives elicit deeper and new understandings of early years workers in England, and how our life stories are co-produced through narrative inquiry.…

Longitudinal research is often interested in identifying correlates of heterogeneity in change. This paper compares three approaches for doing so: the mixed-effects model (latent growth curve model), the growth mixture model, and structural equation model trees. Each method is described, with special focus given to how each structures…

An important objective of any analytical chemistry course is for students to generate and interpret data from the analysis of complex, real-world samples in order to assess the effectiveness of the analysis method, including the calibration. In this laboratory exercise, students directly compare calibration methods (external standards and standard…

For investigating a comprehensive PLC framework, instruments are needed that capture the multi-layered PLC characteristics and that take into account the complex influencing educational context. Such instruments are currently lacking. This study aims at describing the development and validation of two qualitative classification instruments usable…

Students studying political science, public administration, public service, and related fields are increasingly expected to engage with local communities in their eventual careers. Providing curriculum-based opportunities for such engagement, however, can be challenging. Are the costs worth the benefits? In 2016, faculty from two universities in…

The current study used theories on expertise development (the holistic model of image perception and the information reduction hypothesis) as a starting point to identify and explore potentially relevant process measures to monitor and evaluate expertise development in radiology residency training. It is the first to examine expertise development…

Educational data use practices have a positive impact on evidence-driven school development. Although schools have an abundance of data available to make evidence-driven decisions, it might not be used to its full potential. This paper aimed to explore Estonian teachers' perceptions of data use that support evidence-driven school development. In…

Research students in social science disciplines frequently struggle to master statistical analysis. A contributing factor may be the statistical software that is used, as the design of such software may not address the needs of non-statisticians or non-computer programming students. Hence, decisions about which statistical software tools are most…

Adolescent populations have become increasingly accessible through online data collection methods. Online surveys are advantageous in recruiting adolescent participants and can be designed for adolescents to provide informed consent without the requirement of parental consent. This study sampled 338 Australian adolescents to participate in a low…