Missing data are a pervasive problem in data analysis. Three common methods for addressing the problem are (a) complete-case analysis, where only units that are complete on the variables in an analysis are included; (b) weighting, where the complete cases are weighted by the inverse of an estimate of the probability of being complete; and (c)…

Grouped and right-censored (GRC) counts have been used in a wide range of attitudinal and behavioural surveys yet they cannot be readily analyzed or assessed by conventional statistical models. This study develops a unified regression framework for the design and optimality of GRC counts in surveys. To process infinitely many grouping schemes for…

Purpose: This study aims to consider the role of emotions, especially those related to empathy, in promoting a more humane education that enables students to reach out across kinship chasms to promote the development of communities predicated on a shared value on mutual respect. This attention to empathy includes a review of the rational basis for…

This phenomenological qualitative study explores how public school pre-kindergarten teachers in Florida perceive their principals' understanding of early learning standards and developmentally appropriate practices. The problem addressed is that prekindergarten teachers are evaluated by their principals using state-approved evaluation rubrics…

Technology advances have changed the way faculty teach and students learn. The classroom has evolved from students listening to their faculty lecture to convey their knowledge to students utilizing interactive electronic resources that can take students worldwide in milliseconds. Tools in the classroom have also allowed faculty to quiz students…

Social rewards and punishments are strong motivators. Since experimental work has focused on young adults using simplistic feedback, the effects of more naturalistic stimuli on motivation, evaluative learning, and socio-emotional processing with advanced age remain unclear. Therefore, we compared the effects of static (photos) vs dynamic (videos)…

Valid data are essential for making correct theoretical and practical implications. Hence, efficient methods for detecting and excluding data with dubious validity are highly valuable in any field of science. This paper introduces the idea of applying autocorrelation analysis on self-report questionnaires with single-choice numbered, preferably…

Engagement with songs through performance and analysis is a key component of music curricula worldwide. Music learning has a significant impact on a number of student competencies, including enhancing students' communicative abilities as they learn to manipulate, express, and share sound in both voice qualities and lyrics. However, common analyses…

In this digital ITEMS module, Dr. Stella Kim provides an overview of multidimensional item response theory (MIRT) equating. Traditional unidimensional item response theory (IRT) equating methods impose the sometimes untenable restriction on data that only a single ability is assessed. This module discusses potential sources of multidimensionality…

In American schools, teachers seldom have time to see each other teach resulting in missed opportunities to learn and grow from one another. Participants engaged in peer observation and feedback in order to determine the effectiveness of this professional development structure on practitioner growth, teacher efficacy, and overall teacher…

Learning outcome modeling is a technical underpinning for the successful evaluation of learners' learning outcomes through computer-based assessments. In recent years, collaborative filtering approaches have gained popularity as a technique to model learners' item responses. However, how to model the temporal dependencies between item responses…

Background: This study explored the physiological correlates of students' self-reported emotions in ecologically valid settings by combining biosignal data (on physical and cardiac activity) and experience sampling method (ESM) data. Aims: The aim was to examine the concurrent associations between self-reported excitement, calmness, anxiety, and…

We describe an automated assessment process for team-coding assignments based on DevOps best practices. This system and methodology includes the definition of Team Performance Metrics measuring properties of the software developed by each team, and their correct use of DevOps techniques. It tracks the progress on each of metric by each group. The…

This longitudinal, multi-semester study investigates the Integrated Performance Assessment (IPA) in university-level communicative Spanish classrooms to find out how instructor feedback affects student performance on IPA assessments, if at all, and in what ways do teachers and students use feedback from the IPAs in their teaching and learning, if…

Professors in proof-based mathematics courses often intend that the feedback they provide on students' flawed proofs will promote proof comprehension. In this theoretical article, we investigate how such feedback can be formulated. Drawing on Lakatos's process of proof and refutation, we propose the notion of "heuristic refutation…