We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated in large-scale administration; and second, the degree to which online and paper assessments offer different information about underlying student…

We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small…

When we monitor our learning, often measured via judgments of learning (JOLs), this metacognitive process can change what is remembered. For example, prior work has demonstrated that making JOLs enhances memory for related, but not unrelated, word pairs in younger adults. In the current study, we examined potential age-related differences in…

This study aims to predict accounting students' inclination toward a career in accounting in Indonesia by integrating the Social Cognitive Career Theory (SCCT) and the Theory of Reasoned Action (TRA). The research relies on primary data obtained through an online, closed-ended questionnaire. We employ Structural Equation Modeling (SEM) for the…

Successful language comprehension requires the rapid deployment of working memory resources alongside the capacity to predict upcoming linguistic input. While previous research views these as competing factors, this dissertation explores a unified theory of processing complexity and evaluates the interaction between memory and prediction. The…

The objective of this work is to predict the employment rate of students based on the information in the SSM (student status management) in colleges and universities. Firstly, the relevant content of SSM is introduced. Secondly, the BP (Back Propagation) neural network, the LM (Levenberg Marquardt) algorithm, and the BR (Bayesian Regularization)…

PISA aims to serve as a "global yardstick" for educational success, as measured by student performance. For comparisons to be meaningful across countries or over time, PISA samples must be representative of the population of 15-year-old students in each country. Exclusions and non-response can undermine this representativeness and…

The e-learning domain has witnessed a shift from the traditional behavioral approach to an individual centered learning approach based on learning analytics, with the aim of creating personalized and learner sensitive designs. A systematic literature review of 284 articles published between 2011 and 2022 in 133 different journals was conducted to…

Learning analytics dashboards (LADs) are emerging tools that convert abstract, complex information with visualizations to facilitate teachers' data-driven pedagogical decision-making. While many LADs have been designed, teachers' capacities for using such LADs are not well articulated in the literature. To fill the gap, this study provided a…

Although academic success among diverse community college students requires effective reading skills, providing support for struggling readers is becoming increasingly more difficult. The problem addressed in this quantitative study was that due to Assembly Bill 705, prohibiting colleges from offering remedial courses without data to substantiate…

The Home Literacy model predicts different outcomes depending on formal and informal literacy practices carried out at home. However, this model does not explicitly consider the potential differences that the media (paper vs. tablets) in which these practices are carried out can have on performance. The present study explored this issue.…

In England, students apply to universities using teacher-predicted grades instead of their final end-of-school A-level examination results. Predicted rather than achieved grades therefore determine how ambitiously students apply to and receive offers from the most selective courses. The Universities and Colleges Admissions Service (UCAS)…

This mixed-methods research study aimed to observe the changes in relational conceptual changes and achievement in photosynthesis and cellular respiration in 15 seventh-grade students using the variation theory of learning, a framework for contextual distinctions, and supports the Common Knowledge Construction Model (CKCM) for science education.…

Academic underachievement refers to school performance which falls below expectations. Focusing on the pivotal first stage of education, we explored a quantitative measure of underachievement using genomically predicted achievement delta (GPA[delta]), which reflects the difference between observed and expected achievement predicted by genome-wide…

Despite its proven success in various fields such as engineering, business, and healthcare, human-machine collaboration in education remains relatively unexplored. This study aims to highlight the advantages of human-machine collaboration for improving the efficiency and accuracy of decision-making processes in educational settings. High school…