Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…

It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…

This study aimed to evaluate the psychometric properties and gather evidence supporting the validity of scores from a traditional Chinese version of the Claremont Purpose Scale (TC-CPS) among Taiwanese adolescents. The TC-CPS, measuring meaningfulness, goal directedness, and beyond-the-self orientation, was administered to 233 high school and 445…

GPT-based models have enabled the creation of natural language chatbots that support both Inquiry-Based and Structured Learning approaches. This study offers a direct comparison of these two paradigms within a UNIX Shell scripting course by means of two chatbots: a Lesson Plan-Driven chatbot that ensures all students cover the same topics…

There is a longstanding debate on whether the analysis of covariance (ANCOVA) or the change score approach is more appropriate when analyzing non-experimental longitudinal data. In this article, we use a structural modeling perspective to clarify that the ANCOVA approach is based on the assumption that all relevant covariates are measured (i.e.,…

Student engagement has been shown to function as a pathway leading to valued educational outcomes. This study used fuzzy-set qualitative comparative analysis (fsQCA) to reveal how various configurations of sex, grade level, teaching presence, social presence, perceived usefulness, perceived ease of use, and parental support lead to high online…

The School Attitude Assessment Survey-Revised (SAAS-R) is a popular scale for assessing attitudinal and motivational aspects of students' academic achievement. However, evidence on key psychometric properties of the SAAS-R such as reliability remains limited. We conducted a reliability generalization study of the SAAS-R using meta-analytic…

The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments. While much research has focused on higher education, especially for languages like Java and Python, little attention has been given to K-12 settings, particularly for…

Background: Developing treatment goals and hierarchies is fundamental to effective intervention. Despite this, interventions are often vaguely or ambiguously described, negatively impacting outcome measurement, client engagement, and team communication. THIMS (Target, Hierarchy, Ingredients, Measures, Success Criterion) is a novel intervention…

Menstrual symptoms may negatively impact academic achievement, but rigorous population-based studies are lacking. 2,698 participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) self-reported heavy or prolonged bleeding and menstrual pain during adolescence and multivariable regression were used to estimate associations with…

Unproctored Computerized Adaptive Testing (CAT) is gaining traction due to its convenience, flexibility, and scalability, particularly in high-stakes assessments. However, the lack of proctor can give rise to aberrant testing behavior. These behaviors can impair the validity of test scores. This paper explores the use of a verification test to…

Second language (L2) viewing with captions (i.e., L2 on-screen text) is now a proliferating as well as promising area of L2 acquisition research. The goal of the present meta-analysis was to examine (a) the relationship between captioned viewing and incidental vocabulary learning and (b) what variables related to learners, treatment, methodology,…

Many parents use social media to gather word-of-mouth regarding schools' performance, subsequently influencing their school choice decisions. Yet, it's unclear how well online opinions reflect schools' actual academic performance. To address this gap, this study uses machine learning to examine whether the online evaluations of students' learning…

The number of English learners (ELs) enrolled in public schools has grown substantially in the United States over the past two decades. The growth is especially large in states in the South and Midwest that have not been traditional destinations for recent immigrants. In this study, we examine the effects of new ELs on students in receiving…

The rapid proliferation of artificial intelligence (AI), particularly within education, presents both opportunities and challenges. While AI offers innovative solutions to pedagogical challenges, unstructured utilization of AI tools like ChatGPT can foster passive learning, with students relying on automated solutions rather than engaging in…