Education Questions Research Articles

AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination

BackgroundThe creation of high-quality multiple-choice questions (MCQs) is essential for medical education assessments but is resource-intensive and time-consuming when done by human experts. Large language models (LLMs) like ChatGPT-4o offer a promising alternative, but their efficacy remains unclear, particularly in high-stakes exams.ObjectiveThis study aimed to evaluate the quality and psychometric properties of ChatGPT-4o-generated MCQs compared to human-created MCQs in a high-stakes medical licensing exam.MethodsA prospective cohort study was conducted among medical doctors preparing for the Primary Examination on Emergency Medicine (PEEM) organised by the Hong Kong College of Emergency Medicine in August 2024. Participants attempted two sets of 100 MCQs—one AI-generated and one human-generated. Expert reviewers assessed MCQs for factual correctness, relevance, difficulty, alignment with Bloom’s taxonomy (remember, understand, apply and analyse), and item writing flaws. Psychometric analyses were performed, including difficulty and discrimination indices and KR-20 reliability. Candidate performance and time efficiency were also evaluated.ResultsAmong 24 participants, AI-generated MCQs were easier (mean difficulty index = 0.78 ± 0.22 vs. 0.69 ± 0.23, p < 0.01) but showed similar discrimination indices to human MCQs (mean = 0.22 ± 0.23 vs. 0.26 ± 0.26). Agreement was moderate (ICC = 0.62, p = 0.01, 95% CI: 0.12–0.84). Expert reviews identified more factual inaccuracies (6% vs. 4%), irrelevance (6% vs. 0%), and inappropriate difficulty levels (14% vs. 1%) in AI MCQs. AI questions primarily tested lower-order cognitive skills, while human MCQs better assessed higher-order skills (χ² = 14.27, p = 0.003). AI significantly reduced time spent on question generation (24.5 vs. 96 person-hours).ConclusionChatGPT-4o demonstrates the potential for efficiently generating MCQs but lacks the depth needed for complex assessments. Human review remains essential to ensure quality. Combining AI efficiency with expert oversight could optimise question creation for high-stakes exams, offering a scalable model for medical education that balances time efficiency and content quality.

Continuing Medical Education Questions: February 2025.

Article Title: Diagnosis and Management of Clostridioides difficile in Inflammatory Bowel Disease.

Continuing Medical Education Questions: February 2025.

Article Title: Quality Indicators for Upper GI Endoscopy.

“I See That Strong Woman”: Social Work Educators Learning from Trans Latinas and Chicana Feminists

ABSTRACT Trans, Latinx, and immigrants’ epistemological and ontological viewpoints are rarely discussed in social work courses, particularly from an intersectional strengths perspective. As a queer cisgender Latinx social work educator and scholar, I hope to inspire social work educators to see and follow the lead of trans Latina immigrants through a Chicana feminist framework. I introduce Chicana feminisms, Martha Cotera’s contributions, and my experiences with Chicana feminisms. I provide an application of Chicana feminisms through a research example of how trans Latina immigrants see themselves and their leadership. I then use the teachings by Chicana feminists and trans Latina immigrants to pose critical questions for social work educators. The article concludes with a critical call for next steps.

The Practice of Large Language Models in Automated Question Generation: A Case Study of ChatGLM in High School Information Technology Curriculum

With the advancement of information technology, the field of education is undergoing transformation. In the teaching of high school information technology, scientific and efficient question formulation is crucial for enhancing the quality of education. Traditional methods of question formulation rely on the experience of teachers, leading to issues such as inconsistent difficulty levels and incomplete coverage of knowledge points. Large language models (LLMs), such as ChatGLM, leverage natural language processing and deep learning technologies to automatically generate questions that align with the curriculum, thereby improving scientific accuracy and precision, enhancing diversity and innovation, and catering to students’ personalized needs. Additionally, LLMs can enhance the efficiency of question formulation and reduce the burden on teachers. This paper explores the application value of large language models in the formulation of questions for high school information technology, through empirical research comparing the performance of human-generated and ChatGLM-generated questions in terms of accuracy, relevance, clarity, and willingness. The study selected two chapters, “Data and Information” and “Fundamentals of Algorithms,” and employed both human and ChatGLM-generated questions, inviting teachers to evaluate them. Through data analysis and statistical testing, we reveal the advantages and limitations of large language models in educational question formulation, providing insights for the intelligent development of educational assessment systems.

Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks

Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks

“I Had Not the Honour to Be Born in England”: Armstrong, Wilkes, and The Muncher's and Guzler's Diary

Abstract John Armstrong's mock almanac The Muncher's and Guzler's Diary (1748) is now little read, but indicates much about the poet-physician's attitudes toward the intellectual, educational, and political questions of his day. Having first framed the almanac as a relatively simple satire on prognostication, Armstrong later revised it to respond to his disagreements with the politician John Wilkes, and to criticize English xenophobia and prejudice. Moreover, in The Muncher's and Guzler's Diary, Armstrong relies on aspects of what Srinivas Aravamudan has identified as “Enlightenment Orientalism” to engage with questions of foreignness, cultural belonging, and the circulation of information.

Continuing Medical Education Questions: January 2025.

Article Title: Medical Therapies for Prevention and Treatment of Inflammatory Pouch Disorders -A Systematic Review and Meta-Analysis.

Continuing Medical Education Questions: January 2025.

Article Title: ACG Clinical Guideline: Diagnosis and Management of Eosinophilic Esophagitis.

What is My Value? Digital Questions in Aesthetic Education: the Case of Video Game

New generations are born and raised within a digital ecosystem that is becoming increasingly pervasive and sophisticated for profit. Examining the reasons and effects of this early and prolonged exposure to mediation and seduction processes operated by electronic devices is fundamental not only from pedagogical and philosophical perspectives, but also from ethical and political ones. At stake is the very possibility of aisthesis: that intimate and free encounter, with self and other, which is as cognitively as it is emotionally connoted, but above all embodied. The article addresses this issue by examining the case of the video game, an object within one of the most flourishing markets, that absorbs a large part of the everyday life of children and teenagers. By interweaving different disciplinary perspectives, the aim is to reflect on the perception of value that massive consumption of this simulation may entail. The thesis proposed here is twofold: on the one hand, the fiction of the video game tends to present itself as true, on the other, it shapes the perception on the predominant capitalist model, i.e. that of productivity, addiction, competition, and acceleration. Only an aesthetic education that allows children and young people to experience this complexity while simultaneously enabling them to grasp the breadth and power of their own potential is able to preserve the possibility of a free and conscious learning and development.

Natural Language Processing and Machine Learning Applications For Assessment and Evaluation in Education: Opportunities and New Approaches

This study examines the applications of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) technologies in education, particularly in educational assessment and evaluation processes. The study examines the potential of these technologies to contribute to educational assessment and evaluation processes in areas such as automatic item generation, text mining, sentiment analysis, sentence similarity, and providing feedback to students. The study includes both a literature review and sample applications. In the automatic item generation process of the study, language models such as GPT and Gemini are used to generate new educational questions and this process is supported by NLP technologies. The study is enriched with Turkish examples and the results show that these applications can be further developed for Turkish and have potential for other applications.

Acquiring the structure of a writing system is important in learning to read: a test of the character-word dual-focus approach in learning Chinese as a second language

Abstract An important question in literacy education is whether reading instruction should focus on whole words or subword constituents. We tested whether this question captures something general across writing systems by examining the functionalities of words and characters in learning Chinese. We introduce a character-word dual-focus instructional approach based on the Character-Word Dual Function model and test its predictions with American undergraduate students enrolled in a beginner-level Chinese course. One group learned new words through dual-focus instruction: characters for pronunciation and words for meaning. A second group followed typical word-focus instruction prevalent in classrooms, learning word-level pronunciation and meaning. Results indicated that while both approaches produced comparable levels of word pronunciation and meaning learning, the dual-focus instruction significantly enhanced character pronunciation and transfer to new word learning. The advantages of dual-focus instruction highlight the importance of learning the subword components through acquiring the systematic structure of the writing system in learning to read.

Investigation of text-based comprehension questions in emergency distance education during the COVID-19 pandemic

The purpose of this study was to analyze text-based comprehension questions asked by fourth-grade teachers in Turkish (L1) lessons in emergency distance education that started during the COVID-19 pandemic and to compare the results with those of other studies conducted in face-to-face educational settings. The text-based comprehension questions were evaluated in terms of different text types (narrative and expository) according to the distribution of the questions in the reading/listening process, answer source (whether the answer to the question was intratextual, extratextual, or intertextual), format, inference type, and teacher specificity. The study was designed to utilize a qualitative description method. Two fourth-grade teachers working in different primary schools were selected as participants. The data were collected through online lesson observations. A total of 56 lesson hours were observed and videotaped. The content analysis technique was applied for the analysis of the data. As in the results of previous studies, the present study, which was conducted in an emergency distance education environment, revealed that the text-based comprehension questions asked by teachers are generally asked after reading/listening, are answered with intratextual and extratextual sources, are prepared only in an open-ended question format, and are mainly of the propositional inference type. Additionally, it was found that teachers do not take the initiative to generate questions themselves and remain primarily dependent on the textbook.

Mixed Methods in Educational Large-Scale Studies: Integrating Qualitative Perspectives into Secondary Data Analysis

This article highlights the integration of qualitative perspectives into the traditionally quantitative domain of large-scale studies and explores how mixed methods can overcome the limitations of predefined datasets. Different purposes for integrating qualitative perspectives before, during, and after LSAs are presented. Two examples are used to illustrate the potential and challenges of re-analyzing existing data from a qualitative perspective. Therefore, this article argues that the integration of qualitative perspectives can provide new empirical insights, allowing researchers to explore new patterns, address research gaps, and reframe theoretical foundations. In this way, mixed methods can enhance the scope of LSA data analysis, making it more adaptable to complex educational research questions and enriching the overall research process.

A peer teaching module for medical residents on critical appraisal of medical articles: context and pilot testing

BackgroundThe ability of healthcare providers to access and use published research correctly is crucial for the quality of healthcare services, enabling selection of the most effective treatment modalities, and avoidance of medical errors. Physicians need strong critical appraisal (CA) skills to manage rapidly evolving medical knowledge.MethodsA standard peer-teaching module was prepared for medical residents on CA. The module included topic-specific educational materials, discussion articles, and question sets and was pilot-tested among medical residents, allowing for revisions based on participants’ feedback. Training module was prepared by a senior epidemiologist and a community medicine (public health) resident, based on the context of a similar graduate course; the resident underwent four months of personal training preceding the pilot testing, which was conducted as a 12-week program in September-November 2023, supervised by experts. Online training extended our reach to resident working nationwide. Recruitment was enabled via social media and various medical specialty organizations. Evaluations included initial, session-specific, and final tests for measuring progress in knowledge on CA, based on participants’ self-assessments, and external auditors’ scoring of the process.ResultsA total of 52 residents from 19 universities and nine specialty programs participated in pilot testing. Of these, 48 completed the program through the post-test, with 83% (n = 40) scoring above 65%, received a certificate of achievement. Median scores showed a 32% increase in knowledge, a 75% increase in confidence in CA skills, and a 50% decrease in stress-related to CA practice. Additionally, 82.5% (n = 33) of those who completed the module expressed interest in offering similar training sessions to their local peers.ConclusionThe online peer teaching of the CA module successfully increased participants’ knowledge and self-confidence in critical appraisal.Clinical trial numberNot applicable.

PENGUATAN HUBUNGAN BILATERAL INDONESIA – AMERIKA SERIKAT MELALUI PROGRAM DIPLOMATS GO TO CAMPUS BAGI MAHASISWA HUBUNGAN INTERNASIONAL UNIVERSITAS TANJUNGPURA

The United States is a major power country that has a long track record of cooperation with Indonesia. On the other hand, Indonesia as a country that currently continues to support Palestinian independence can also be a sensitive issue for relations between the two countries. The aim of this service activity is to provide education about Indonesia-United States relations and to dispel sensitive issues occurring between the United States and Middle Eastern countries which are considered to be an obstacle to build good relations between Indonesia and the United States. This community service aims to increase people to people contact and provide education regarding bilateral relations between Indonesia and the United States. This activity will be carried out in May 2024 using three methods, preparation and delivery of educational material, question and answer session, and reporting. After carrying out this activity, International Relations study program students became more concerned about increasing people to people contact through increasing understanding of the differences between the two countries, democratic values, and opportunities for prosperity for both countries. Apart from that, students understand the functions and duties of diplomats as representing, promoting, protecting, negotiating and reporting. Students also understand the strategic interests of Indonesia and the United States. Also, there is a Comprehensive Strategic Partnership between Indonesia and the US and an action plan for Indonesia and America for 2024-2028. Including the implementation of shared values ​​and partnerships between Indonesia and the United States. Such as assistance in developing the quality of education in Indonesia, humanitarian assistance, and cultural development between the two countries.

CRIMINALIDADE EM RONDÔNIA: UMA ANÁLISE ACERCA DA RELAÇÃO ENTRE EDUCAÇÃO E CRIMINALIDADE NO ESTADO DE RONDÔNIA E A LEI DE EXECUÇÃO PENAL

The main goal of the present article is to analyze the relationship between education and crime in the state of Rondônia, once crime is about a socioeconomic and educational question. The main goal of the present article is to analyze the relationship between education and crime in the state of Rondonia, once crime is about a socioeconomic and educational question. In addition, this article is to demonstrate the importance of education in the Rondonia state prison system as one of the scientific tools to the crime crime, for both here will also be examined the state of Education for Private people and Egresses of the Private State State and Egress of the Rondonia State State of the State State of the State of the Rondonia State System of the State State and Egresses of the Rondonia State State. That way, the present used the descriptive and exploratory method.

RESEARCH ON THE INTEGRATION OF IDEOLOGICAL AND POLITICAL EDUCATION INTO BUSINESS ENGLISH TRANSLATION TEACHING

The development of "Curriculum-based Ideological and Political Education" (CIPE) is in full swing. As part of an all-round educational approach, the integration of ideological and political education into the Business English Translation course is both necessary and significant. How to effectively embed ideological elements into business English translation teaching has become a pressing question for educators in this field. Based on CIPE theories and translation teaching theories, and considering the specific characteristics of the Business English Translation course, this paper explores the integration pathways from four perspectives: syllabus design, teaching content, teaching methodology, and evaluation mechanisms. KEYWORDS: Curriculum-Based Ideological and Political Education (Cipe), Business English Translation Teaching, Integration Pathways

Leveraging Convolutional Neural Networks for Enhanced Educational Question Classification

Leveraging Convolutional Neural Networks for Enhanced Educational Question Classification

Women in Higher Education Leadership

The integration of Artificial Intelligence (AI) into the higher education landscape has caused upset to many long-held practices in the sector as educators question the future. The male-dominated leadership landscape in AI reflects broader gender disparities prevalent in STEM fields. This position paper investigates the challenges women face in academic leadership within the context of AI and proposes strategies to address these disparities. By examining reflective narratives from three women leaders in higher education, we identify themes of visibility, recognition, and inclusive leadership. Our findings highlight the importance of mentoring programs and collaborative leadership models to support women in AI leadership roles. We argue that diverse leadership not only fosters innovative solutions and equitable access but is also crucial for ethical AI development. Promoting diverse voices in AI leadership can drive meaningful change, ensuring AI technologies benefit a broader demographic and align with ethical standards. Future research should focus on strategies to enhance visibility and support for women leaders in AI, addressing both gender and cultural dynamics.