Double-scoring constructed-response items is a common but costly practice in mixed-format assessments. This study explored the impacts of Targeted Double-Scoring (TDS) and random double-scoring procedures on the quality of psychometric outcomes, including student achievement estimates, person fit, and student classifications under various…

A number of assessment methods are used to improve teaching which accelerates students' achievement. This study investigates the effect of two assessment methods (Think - Pair - Share and Choral Response) on academic achievement of prospective science teachers in a public sector university in Lahore, Pakistan. It employed a quasi-experimental…

Many students struggle with making sense of feedback information and in applying and transferring it to new contexts. Research literature suggests that low-performing students are especially at risk because they often do not understand assessment criteria and cannot utilise information they receive. This paper addresses this problem through…

In this article, we develop and evaluate a novel system and computing platform to structure, measure, and improve student development using points. We define student development broadly as the achievement of learning to do, know, live together, and be. The system leverages individual agency, social influences, content generation and sharing,…

Education plays a major role in the development of the consciousness of the whole society. Education has been improved by analyzing educational data related to student academic performance. By using data mining techniques and algorithms on data from the educational environment, students' performances can be predicted. In this study, a novel Hybrid…

Self-regulated learning (SRL) encompasses cognitive, metacognitive, and motivational learning strategies and is highly relevant for academic achievement. Although students have mostly acquired high-level SRL strategy knowledge by the time they reach college, they often show deficiencies in their application of SRL strategies. In order to…

Collaborative testing and its benefits have been reported in diverse disciplines across different types of academic institutions. However, there has been minimal research conducted on collaborative assessments in medical schools, particularly in the gross anatomy laboratory. The objectives of this study were to explore the effect of collaborative…

Lecturers often claim that time constraints cause tension regarding feedback on students' assessment opportunities. Assessment strategies for effective feedback procedures can lead to early identification of problem areas in student performance. Numerous students at higher education institutions (HEIs) do not complete their qualifications or take…

The present research evaluated whether behavioral tasks ("direct assessments") commonly used to assess young children's social cognitive development in laboratory studies could have utility for measuring and predicting U.S. children's outcomes in educational contexts. To do so, children (N = 95; 49 boys, 46 girls; 41.05% White, 16.84%…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

The present work was conducted to re-examine the findings of Agarwal et al. ("Applied Cognitive Psychology," 22(7), 861-876, 2008), which showed that both closed-book tests (with feedback) and open-book tests increased learning outcomes after 1 week compared to simple re-study of the same materials. However, contrary to often found…

This paper explores using data mining in English teaching assessment in higher education within the 'Internet + Education' era. Traditional assessment methods struggle to meet modern teaching needs. By collecting diverse data like student performance and learning behavior, and employing data mining, a comprehensive assessment model is built. This…

Using a major field test (MFT) is a common method of program assessment. For accurate assessment to take place, however, students must be sufficiently motivated to perform. This paper studies a change in major requirements that associated a major field test to a grade in a political science capstone course. After controlling for possible…

The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…