Multiple choice questions are traditionally expensive to produce. Recent advances in large language models (LLMs) have led to fine-tuned LLMs that generate questions competitive with human-authored questions. However, the relative capabilities of ChatGPT-family models have not yet been established for this task. We present a carefully-controlled…

The current study represents a preliminary validation of the Multidimensional Father Involvement Scale (MFIS), a measure to assess father involvement among cohabiting and non-cohabiting low-income fathers of children (6 months-11 years old). The 43-item scale includes items modified from the Inventory of Father Involvement (A. Hawkins et al.,…

Robert M. Rowan imagines if writing instructors created a tool or method for the writing classroom that helps focus each student's mind on the experience by inviting students to slow down so they can explain, critique, and analyze their work before it is reviewed by their instructors. When the instructors respond, they can have a more fully…

Objective: There are multiple risk factors, such as individual features, parenting behaviours, and peer influences associated with the development of conduct problems. The Alabama Parenting Questionnaire-Child Form (APQ-CF) is a commonly used instrument to measure parenting behaviours. The study aimed to examine the factor structure of the…

This study aimed to explore the relationship between students' understanding of the National Matriculation English Test (NMET) and their learning practices through standard multiple regression (SMR) and structural equation modeling (SEM) with the purpose of unraveling the working mechanism of washback. A total number of 3105 Chinese senior high…

Scoring high-dimensional assessments (e.g., > 15 traits) can be a challenging task. This paper introduces the multilabel neural network (MNN) as a scoring method for high-dimensional assessments. Additionally, it demonstrates how MNN can score the same test responses to maximize different performance metrics, such as accuracy, recall, or…

Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…

The study aimed at exploring, confirming, and validating the factor structure of sibling attachment inventory (SAI) within the Indian cultural context. The hypothesis posits that SAI will show reliable sibling attachment measures, evaluating its psychometric properties with 250 students enrolled in Class XI within govt and private schools,…

Background: In an era of precipitous insect declines, effective entomology education is especially needed to support firsthand knowledge of nature. Understanding what students know and feel about insects is instrumental to teaching and curriculum development. This study describes the development and validation of a new survey instrument, EntoEdu,…

Purpose: Pedagogical leadership (PL) has been regarded as the best leadership style in the education sector. Thus, the aim of this study was to develop and validate a pedagogical leadership scale (PLS). Design/methodology/approach: Two distinct approaches (inductive and deductive) were utilized. First, a review of the literature was conducted, and…

Objective: The purpose of this study was to develop and validate the Counselor Self-Reflection Inventory (CSRI) from a Transformative Learning Theory framework for counselors, and counselors-in-training to use in clinical and training settings. Method: A sample of 351, mostly female (86.89%), white (85.19%), counselors with MS or MA (88.08%)…

Educational robotics activities have proven instrumental in creating a dynamic learning environment that provides students with hands-on experiences, aligning with the interdisciplinary principles advocated by STEM education. The integration of educational robotics into the educational process significantly impacts students of various age groups,…

This study applied expectancy-value theory (EVT) to examine the impact of diagnostic language assessment (DLA) on the learning activities of a group of Chinese learners of English as a foreign language (EFL). A model of test impact on learning was conceptualized by integrating EVT and DLA theories. Structural equation modeling (SEM) was performed…

Purpose: Functional language proficiency is presented as a conceptual framework that builds upon cultural--linguistic assets in bilingually developing children and bridges the theory of natural translation, translanguaging, and language brokering practices. A novel task was developed based on this framework for quantifying Spanish-English…

Transdisciplinary thinking is crucial for addressing global challenges, yet standardized assessment tools for high school students are lacking. This study addresses this gap by developing and validating a transdisciplinary thinking scale (TTS) tailored for this demographic. Following established methodologies, the TTS was crafted through expert…