Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post hoc adjustments to…

The Reciprocal Effects Model (REM) posits that academic self-concept and corresponding achievement measures are reciprocally related over time. Although there is considerable support for the REM based on short-term, narrowly focused educational accomplishments, little research evaluates the long-term implications of this reciprocal pattern of…

This study examined lived experiences of foreign-born student affairs professionals (SAPs) in the United States and Canadian higher education. We sought to understand foreign-born SAPs' impacts on higher education internationalization and what their professional experiences inferred about the level of international engagement in the field of…

Purpose: The case study is inspired in Interpretative Phenomenological Analysis (IPA) to make sense of a Relational Model within Artistic Creation (RMAC) developed by the author a long time in their artistic and research practices. Design/methodology/approach: An Interpretative Phenomenological Analysis (IPA) is considered within a case study…

The Motivated Strategies for Learning Questionnaire (MSLQ) is one of the most widely used instruments to measure students' motivation and self-regulated learning. However, the MSLQ was developed and has been predominantly used in the Western context, is a domain-general measure, and is quite lengthy. Hence, adapting the MSLQ to the Chinese…

Technology-enhanced learning (TEL) is the use of a computer or other technology which provides education courses or training for students, such as online courses, off-line content, or mixed-mode delivery. The current study aims at developing a model to examine the effect of resource availability and students' subject interest on students'…

Dynamic assessment (DA) integrates assessment and instruction into an organic unity aimed at promoting learner development through mediation sensitive to the individual's (or in some cases, a group's) current abilities. This article reports on the construction of a model of mediation framed within DA for English-as-a-foreign-language listening…

This study investigates how sensitively the current grit measure (Grit-S) is able to reflect the differences between individuals (i.e. item discrimination) and change within individuals (i.e. sensitivity to change of items) using longitudinal data. Data from the Korean Children and Youth Panel Study 2018 of elementary (fourth grade) and middle…

In this study, we developed machine learning algorithms to automatically score students' written arguments and then applied the cognitive diagnostic modeling (CDM) approach to examine students' cognitive patterns of scientific argumentation. We abstracted three types of skills (i.e., attributes) critical for successful argumentation practice:…

There is no final consensus regarding which covariates should be used (in addition to prior achievement) when estimating value-added (VA) scores to evaluate a school's effectiveness. Therefore, we examined the sensitivity of evaluations of schools' effectiveness in math and language achievement to covariate selection in the applied VA model. Four…

The implementation of China's Education Modernization Plan 2035 has signified the Chinese government's commitment to advancing the quality of education. Recent studies have shown that the prioritization of instructor continuous professional development (CPD) through the Ministry of Education mandates has positively affected talent development and…

The Learning and Study Strategies Inventory (LASSI; Weinstein et al., "Learning and study strategies inventory." H&H Publishing, 1987) is a prominent instrument used in thousands of institutions worldwide as an educational and research tool. Despite its widespread prevalence, there are inconsistencies regarding the underlying latent…

Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…

To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…

Background: Students need to practice their hands-on skills when they are young to develop confidence for their future careers. Nowadays, iSTEAM (integrated science, technology, engineering, arts and mathematics) contests provide opportunities for participants to experience meaningful and challenging hands-on tasks that may foster learning, and to…