Single-case research design is a useful methodology for evaluating the presence of a functional relation between an intervention and the mathematical performance of students with a learning disability. However, a functional relation cannot be established with threats to internal validity of the design. External validity is impacted if researchers…

Reform efforts in statistics education emphasize the need for students to develop statistical thinking. Critical to this goal is a solid understanding of design in the process of collecting data, evaluating evidence, and drawing conclusions. We collected survey responses from over 700 college students at the start of an introductory statistics…

Measuring similarity of educational items has several applications in the development of adaptive learning systems, and previous research has already proposed a wide range of similarity measures. In this work, we provide an experimental evaluation of selected similarity measures using a large dataset. The used items are alternate-choice questions…

Strategy theory recognises outer general environmental mutations in the legal landscape as compelling dynamic forces of business competition. Thus, the latest EU directive on data protection constitutes an uncharted event for testing organisational adaptability. This research aims to understand the impact of GDPR and the endeavours towards the…

Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

Psychosocial functioning plays a key role in students' wellbeing and performance inside and outside of school. As such, techniques designed to measure and improve psychosocial functioning factor prominently in school-based service delivery and research. Given that the different contexts (e.g., school, home, community) in which students exist vary…

The Learning Target Rating Scale (LTRS) is a measure designed to evaluate the quality of teacher-developed learning targets for embedded instruction for early learning. In the present study, we examined the measurement dependability of LTRS scores by conducting a generalizability study (G-study). We used a partially nested, three-facet model to…

Over the last three decades, there has been increased attention on the collection and interpretation of "response processing data" to inform claims of learners' knowledge and skills (e.g., see Ercikan et al., 2010; Kobrin & Young, 2003; see also, Leighton, 2004). Response processing data are perhaps most consequential in the…

Collection and analysis of students' writing samples on a large scale is a part of the research agenda of the emerging writing analytics community that promises to deliver an unprecedented insight into characteristics of student writing. Yet with a large scale often comes variability of contexts in which the samples were produced--different…

Researchers from a variety of academic disciplines have begun to incorporate Web-based methodologies in their research agendas. Nonetheless, many of those interested in language ideologies--i.e. speakers' beliefs about language, as well as their rationalisation of those beliefs-- vehemently stand by site-specific ethnographic approaches. Rather…

With the increase in the use of online professional development resources, especially for rural educators, this study evaluated the effects of online training modules on in-service teachers' ability to collect and use instructional progress monitoring data to make instructional decisions for students with significant disability (i.e., moderate to…

This study's primary goal was to evaluate the use of performance feedback procedures delivered to a classroom team to increase daily data collection. Performance feedback (PFB) was delivered to four classroom teams responsible for the daily collection of data representing student performance during prescribed instructional activities. Using a…

Information and communication technology (ICT)-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of knowledge to assessment of engagement, meta-cognition, strategy and affect. The automated…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…

This study uses data collected in the intervention classrooms (N = 22) of Head Start REDI (Research-based, Developmentally Informed), a randomized clinical trial testing the efficacy of a comprehensive preschool curriculum targeting children's social-emotional competence, language, and emergent literacy skills delivered by teachers who received…