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…

Although we know advising can be conceptualized as a critical component of an integrated and comprehensive student success strategy on a campus, it is often difficult to implement. This chapter will provide a case study of the development and execution of a leadership initiative at an American Association of State Colleges and Universities (AASCU)…

Inclusive Design is an approach to equitable and inclusive education, designed to support school administrators and educators to engage in focused conversations that include and honour the identities of students. "WHO" the students are in classrooms with is at the centre of this approach; Inclusive Design allows and encourages the…

To fully appreciate genetics, one must understand the link between genotype (DNA sequence) and phenotype (observable characteristics). Advances in high-throughput genomic sequencing technologies and applications, so-called "-omics," have made genetic sequencing readily available across fields in biology from applications in…

Inappropriate treatment of missing data may introduce bias into the value-added estimation. We consider a commonly used value-added model (VAM), which includes the past student test score as a covariate. We formulate a joint model of student achievement and missing data, in which the probability of observing a test score depends on observing the…

Water analysis is an excellent interdisciplinary topic for project-based learning. An undergraduate course was designed to engage the senior undergraduate chemistry students in a real-life experience. In this course, students developed methodologies based on published American Society for Testing and Materials (ASTM) methods for the measurement of…