In this study, a conceptual framework of measurement uncertainty was developed and used to guide the development of a multiple-choice concept test for the assessment of students' knowledge integration in learning measurement uncertainty. Based on assessment data and interview results, students were identified into three levels of knowledge…

This paper presents research activity on computer-based mathematics learning to study the effectiveness of open-source teaching computer platforms (Canvas) in computer-assisted instruction. We designed a set of multiple-choice online quizzes as a dynamical flow-chart of possible paths to follow while solving a difficult math problem on…

This study assesses the performance of ChatGPT in comparison with that of undergraduate students in 60 multiple-choice questions (MCQs) of Corporate Finance exams that sought to measure students' abilities to solve different types of questions (descriptive and numerical) and of varying difficulty levels (basic and intermediate). Our results…

At present, research on computational thinking in universities is gaining interest, and more attention is being paid to the cultivation and teaching of computational thinking. However, there is a lack of computational thinking assessment tools for college students, which makes it difficult to understand the current status and development of their…

High-order cognitive skills (HOCS) are required to solve problems and make decisions. ARVi or augmented reality virus is a learning medium used to enhance HOCS. Aims of this research is to find out the effect of implementing ARVi media on enhancing high-level cognitive skills of students. The research is a quasi-experiment with a pretest-posttest…

The 21st century learning demanded students to master the 4C competencies: critical thinking and problem-solving, communication, collaboration, and creativity and innovation, with problem-solving skills significantly influencing students' cognitive learning outcomes. This study utilized the Flipped Classroom instructional model, assisted by the…

In recent decades, research has stressed the prominence of mathematics classroom discussions in productive instructional practices in mathematics instruction. In this context, problem-solving activities have been a common focus of research. Research shows that teachers need to deal with prerequisites and challenges such as norms, design of tasks,…

We investigate encoder-decoder GRU networks with attention mechanism for solving a diverse array of elementary math problems with mathematical symbolic structures. We quantitatively measure performances of recurrent models on a given question type using a test set of unseen problems with a binary scoring and partial credit system. From our…

Limited research has been conducted on the spatial ability of veterinary students and how this is evaluated within anatomy assessments. This study describes the creation and evaluation of a split design multiple-choice question (MCQ) assessment (totaling 30 questions divided into 15 non-spatial MCQs and 15 spatial MCQs). Two cohorts were tested,…

Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…

While formative assessment is a widely valued instructional approach to support meaningful learning, putting it into classroom practice remains a challenge, also because the time resources required may conflict with other goals. In a cluster-randomized controlled intervention study with 29 teachers and 604 students (mean age 15.6 years) at…

Diabetes mellitus and obesity are major public health issues that significantly impact the health care system. The next generation of health care providers will need a deep understanding of the pathophysiology of these diseases if we are to prevent, treat, and eventually cure these diseases and ease the burden on patients and the health care…

Prior research has emphasized that two-tier tests are an effective approach to guiding students through game tasks; furthermore, self-efficacy, which is potentially related to students' surroundings and academic performance, has a positive impact on students' cognitive outcomes in games. This implies the significance of conducting a study to probe…

Understanding particle motion in force fields (PMFF), which encompasses the nature of forces and the relationship between force and motion, is fundamental to mastering mechanics and electromagnetism. Effectively solving PMFF-related problems requires advanced reasoning skills and the ability to apply knowledge across diverse contexts. Despite…

The recent integration of visual capabilities into Large Language Models (LLMs) has the potential to play a pivotal role in science and technology education, where visual elements such as diagrams, charts, and tables are commonly used to improve the learning experience. This study investigates the performance of ChatGPT-4 Vision, OpenAI's most…