532 Results Found

Generative artificial intelligence (GenAI) tools developed to support teaching and learning are widely available. Trustworthiness concerns, however, have prompted calls for researchers to study their effectiveness and for educators and educational re...

Multiple-choice (MC) tests are widely used in educational settings but have been criticized for promoting passive recognition rather than active retrieval. Our research explores how adding a simple component to MC tests—answer justification&mda...

The use of large lecture halls in business and economic education often dictates the use of multiple-choice exams to measure student learning. This study asserts that student performance on these types of exams can be viewed as the result of the proc...

Since schools cannot use face-to-face tests to evaluate students’ learning effectiveness during the COVID-19 pandemic, many schools implement computer-based tests (CBT) for this evaluation. From the perspective of Sustainable Development Goal 4, whet...

This research explores the results that an examinee would obtain if taking a multiple-choice questions test in which they have doubts as to what the true answer is among different options. This problem is analyzed by making use of combinatorics and a...

This study investigated the scalability of a cognitive multiple-choice test through the Mokken package in the R programming language for statistical computing. A 2019 mathematics West African Examinations Council (WAEC) instrument was used to gather...

This study investigates the effectiveness of the Script Concordance Test (SCT) in enhancing clinical reasoning skills within paramedic education. Focusing on the Medical University of Lublin, we evaluated the SCT’s application across two cohort...

The large-scale evaluation of multiple-choice tests is a challenging task from the perspective of image processing. A typical instrument is a multiple-choice question test that employs an answer sheet with circles or squares. Once students have finis...

Students claim that multiple-choice questions can be tricky, particularly those with competitive incorrect choices or choices like none-of-the-above (NOTA). Additionally, assessment researchers suggest that using NOTA is problematic for assessment. I...

Machines usually employ a guess-and-check strategy to analyze data: they take the data, make a guess, check the answer, adjust it with regard to the correct one if necessary, and try again on a new data set. An active learning environment guarantees...

Background: The number of answer options is an important element of multiple-choice questions (MCQs). Many MCQs contain four or more options despite the limited literature suggesting that there is little to no benefit beyond three options. The purpos...

Retention of foundational knowledge is critical in dental education, yet the implications of Ebbinghaus forgetting curve are often overlooked. This study examined how well dental students retained core periodontal concepts and how confident in their...

Research on the psychological and physiological well-being of captive animals has focused on investigating different types of social and structural enrichment. Consequently, cognitive enrichment has been understudied, despite the promising external v...

Background/Objectives: Otolaryngologists are increasingly using head and neck ultrasound (HNUS). Determining whether a practitioner of HNUS has achieved adequate theoretical knowledge remains a challenge. This study assesses the performance of two la...

The development and evaluation of valid assessments of scientific reasoning are an integral part of research in science education. In the present study, we used the linear logistic test model (LLTM) to analyze how item features related to text comple...

Recent advances in natural language processing have increased interest in automatic question generation, particularly in education (e.g., math, biology, law, medicine, and languages) due to its efficiency in assessing comprehension. Specifically, mul...

We conducted two studies to replicate and extend, as well as test, the limits of previous findings regarding an apparent disconnect between scientific-reasoning skills in psychological science, on the one hand, and scores on standardized tests of gen...

We evaluated the potential of the European root-feeding moth Dichrorampha aeratana as a biological control agent for the invasive weed Leucanthemum vulgare (oxeye daisy) in North America and Australia. The taxonomic proximity of the ornamental Shasta...

Nowadays, multiple choice questions play an important role in the self-evaluation process. The present work undertakes the design of a computer tool—Excel® worksheet—that will allow the calculation of different parameters that are usually employed fo...

Background/Objectives: This study aims to evaluate the response accuracy and quality of three AI chatbots—GPT-4.0, Claude-2, and Llama-2—in answering multiple-choice questions in prosthodontic and restorative dentistry. Methods: A total o...

The COVID-19 pandemic has accelerated the demand for virtual healthcare delivery and highlighted the scarcity of telehealth medical student curricula, particularly tele-critical care. In partnership with the Penn E-lert program and the Department of...

Global dietary consumption strongly determines agricultural land requirements. Yet, it is currently difficult for individual consumers to quantify the environmental impact of their individual diet. One relatively easy to understand metric is the Huma...

Standard learning assessments like multiple-choice questions measure what students know but not how their knowledge is organized. Recent advances in cognitive network science provide quantitative tools for modeling the structure of semantic memory, r...

ChatGPT is a large language model trained on increasingly large datasets to perform diverse language-based tasks. It is capable of answering multiple-choice questions, such as those posed by diverse medical examinations. ChatGPT has been generating c...

Modern teaching formats have not been considered necessary during the COVID-19 pandemic with uncertain acceptance by students. The study’s aim was to describe and evaluate all measures undertaken for theoretical and practical knowledge/skill transfer...

The quality of academic performance and learning outcomes depend on various factors, both psychological and contextual. The academic context includes the training activities and the type of evaluation or examination, which also influences cognitive a...

Stressful events can cause a significant impact on education; however, it is not yet clear how the interplay between anxiety, work, and social dysfunction relates to learning impairments. In this study, we investigated the impact of the COVID-19 pand...

Universities strive to ensure quality education focused on the diversity of the student body. According to experiential learning theory, students display different learning preferences. This study has a three-fold objective: to compare learning style...

In this work, we study the persistence of some fundamental previous ideas in physics in a group of freshmen at the Universidad Politécnica de Madrid (Spain). For this purpose, we analyze the answers to a questionnaire consisted of 24 multiple-...

Background: The COVID-19 pandemic has strongly impacted on healthcare services’ organization and healthcare workers’ mental health, increasing the risk of psychological symptoms and burnout. Italy has been one of the most affected countri...

Introduction: The choice of diagnostic tests in front of a given clinical case is a major part of medical reasoning. Failure to prescribe the right test can lead to serious diagnostic errors. Furthermore, unnecessary medical tests are a waste of mone...

The diamondback moth, Plutella xylostella L. (Lepidoptera: Plutellidae), is an important insect pest of cruciferous crops. Understanding its preference patterns can lead to more efficient management methods, such as trap crops. Several strains of P....

The awareness that many problems in our society are interdisciplinary in nature and require the integration of multiple STEM (Science, Technology, Engineering, Mathematics) concepts to solve them has given rise to a new instructional approach, called...

Pharmacogenomics testing is a rapidly expanding field with increasing importance to individualized patient care. However, it remains unclear whether the general public in rural areas would be willing to engage in this service. The objective of this s...

Physical education should focus not only on students’ motor and emotional development but also on their cognitive development. The purpose of the present study was to examine whether elementary students’ health-related knowledge and physical activity...

Silvopastoralism based on livestock feeding on forage trees is becoming a sustainable alternative to traditional grazing on the open pastures of dry tropical Central America. Four autochthonous trees, Acacia pennatula, Enterolobium cyclocarpum, Gliri...

The great 2015 Nepal earthquake of magnitude 7.6 killed about 9000 people. To better ensure a more coordinated disaster response, a Basic On-Site Disaster Medical Support (BOS-DMS) course was designed in 2017. This study evaluates the effectiveness o...

This study investigated possible gender bias on a vocabulary test, using a method suggested by Andrich and Hagquist to detect “real” differential item functioning (DIF). A total of 443 adult ESL learners completed all 228 items of the Pea...

A multi-cohort instructor-blinded research study was completed at the School of Pharmacy, University of Waterloo, to test the impact on study learning endpoints when an online flipped classroom teaching style was implemented during the COVID-19 pande...

Echocardiography is fundamental to diagnostic medicine, yet medical students seldom learn it. Simulation-based training to improve echocardiography learning is promising. This study examined how simulation-based echocardiography training affects fina...

Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community. In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical...

A well-known hypothesis in education and amongst the general public is that matching instructional method with an individual’s modality-specific learning style improves learning and cognitive performance. Several critical reviews in the past de...

This study investigates the use of Google NotebookLM for the automatic generation of educational assessment items. A mixed-methods approach was adopted, combining quantitative psychometric evaluation with qualitative student feedback. Six tests, each...

Graphs are prevalent in the reports of the Intergovernmental Panel on Climate Change (IPCC), often depicting key points and major results. However, the popularity of graphs in the IPCC reports contrasts with a neglect of empirical tests of their unde...

The Medi-test system we developed was motivated by the large number of resources available for the medical domain, as well as the number of tests needed in this field (during and after the medical school) for evaluation, promotion, certification, etc...

Livestock supplementation with forage trees is becoming a sustainable alternative to traditional grazing on the open pastures during the dry season in Benin. However, little is known about the feeding preferences of sheep and the digestibility of suc...

Solid-state physics has important applications in the development of modern technologies. Although solid-state concepts, such as electric and thermal conductivity, are included in the curricula at all educational levels, even university students have...

Effective assessment development requires collaboration between multidisciplinary team members, and the process is often time-intensive. This study illustrates a framework for integrating generative artificial intelligence (GenAI) as a collaborator i...

This study presents the design and validation process of a new Bebras-based instrument to assess computational thinking (CT) in 7th-grade students. An initial version of the test, composed of 18 multiple-choice items, was piloted with 80 students and...

The assessment of knowledge and skills acquired by the student at each academic stage is crucial for every educational process. This paper proposes and tests an approach based on a structured assessment test for mathematical competencies in higher ed...