Generalizability theory is a modern, powerful, and broad framework used to assess the reliability, or dependability, of measurements. While there exist classic works that explain the basic concepts and mathematical foundations of the method, there is currently a lack of resources addressing computational resources for those researchers wishing to…

A data party is an engaging way to involve stakeholders in program evaluation. We explain the use of a data party for engaging 4-H program stakeholders (e.g., staff and volunteers) in data interpretation and helping them understand, embrace, and use program evaluation information to make data-driven decisions about their programs. We present two…

Autism spectrum disorder (ASD) research has yet to leverage "big data" on the same scale as other fields; however, advancements in easy, affordable data collection and analysis may soon make this a reality. Indeed, there has been a notable increase in research literature evaluating the effectiveness of machine learning for diagnosing…

The purpose of this study was to evaluate the use of behavioral skills training (BST) that included video vignettes used for modeling and rehearsal to train preservice general educators how to collect accurate antecedent-behavior-consequence (ABC) data using a structured recording format. The effectiveness of the intervention was evaluated within…

Determining the number of factors in exploratory factor analysis is arguably the most crucial decision a researcher faces when conducting the analysis. While several simulation studies exist that compare various so-called factor retention criteria under different data conditions, little is known about the impact of missing data on this process.…

Increasing investment and interest in research and development (R&D) requires an efficient management system for achieving better research project outputs. In tandem with this trend, there is a growing need to develop a method for predicting research project outputs. Motivated by this, using information gathered in the early stage of projects,…

Web recommendation systems are ubiquitous in the world used to overcome the product overload on e-commerce websites. Among various filtering algorithms, Collaborative Filtering and Content Based Filtering are the best recommendation approaches. Being popular, these filtering approaches still suffer from various limitations such as Cold Start…

At the end of 2021, the spread of the COVID-19 virus Delta variant and the start of the new school year combined to present many educators and administrators with the hardest year yet in the pandemic, in terms of both delivering instruction and assessing student learning. Students entered the school year with increased anxiety, and assessment was…

With support from QuarkNet, high school students investigated the effect of overburden on muon flux by collecting data from Fermilab's Main Injector Neutrino Oscillation Search (MINOS) tunnel. Muon flux varied due to a change in overburden created by a 103-meter deep access shaft. A profile of muon flux as a function of distance from the access…

Interactive tasks designed to elicit real-life problem-solving behavior are rapidly becoming more widely used in educational assessment. Incorrect responses to such tasks can occur for a variety of different reasons such as low proficiency levels, low metacognitive strategies, or motivational issues. We demonstrate how behavioral patterns…

Many students in schools in the United States today are considered at-risk in their reading ability. The disproportionate number of students making inadequate progress places the fate of students at stake. Response to Intervention (RTI) was created to support student growth in reading while reducing the number of students requiring testing for…

The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…

Purpose: The purpose of the study is to build predictive models for early detection of low-performing students and examine the factors that influence massive open online courses students' performance. Design/methodology/approach: For the first step, the author performed exploratory data analysis to analyze the dataset. The process was then…

Despite growing international interest in pedagogical documentation, there is limited research investigating this professional practice. In strengthening the knowledge base, this paper offers textual analysis of material written about pedagogical documentation to enable greater understanding of its nature and purposes. The authors of this paper…

Background: To improve the use of evidence in policy and practice, many organisations and individuals seek to promote research-policy engagement activities, but little is known about what works. Aims and objectives: We sought (a) to identify existing research-policy engagement activities, and (b) evidence on impacts of these activities on research…