Interactive instructional teaching method (IITM); contribution towards students’ ability in answering unfamiliar types questions of buffer solution by Habiddin Habiddin, Ulfa Rafika, Utomo Yudhi

“…Students’ adversity quotient correlated positively to their ability to answer unfamiliar questions of buffer solutions. Meanwhile, the effect of students’ learning interests and adversity quotient on students’ ability to answer unfamiliar questions was found uncorrelated.…”
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The battle of question formats: a comparative study of retrieval practice using very short answer questions and multiple choice questions by Elise V. van Wijk, Mario de Jonge, Floris M. van Blankenstein, Roemer J. Janse, Alexandra M.J. Langers

“…Results The VSAQs were answered incorrectly more frequently on the practice tests and final test. …”
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Is there a mental health diagnostic crisis in primary care? Current research practices in global mental health cannot answer that question by Brandon A. Kohrt, Dristy Gurung, Ritika Singh, Sauharda Rai, Mani Neupane, Elizabeth L. Turner, Alyssa Platt, Shifeng Sun, Kamal Gautam, Nagendra P. Luitel, Mark J.D. Jordans

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Enhancing vaccine communication in social Q&A: identifying readily applicable factors for answer acceptance on medical sciences stack exchange by Hengyi Fu

“…This study investigates factors influencing the acceptance of answers to vaccine-related questions on social Q&A platforms, aiming to improve online vaccine communication. …”
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An Empirical Evaluation of Large Language Models on Consumer Health Questions by Moaiz Abrar, Yusuf Sermet, Ibrahim Demir

“…<b>Conclusions:</b> Current small or medium sized LLMs struggle to provide accurate answers to consumer health questions and must be significantly improved.…”
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Reducing vasospasm of vein and arterial conduits used in coronary artery bypass surgery: are solutions the solution or is preserved perivascular fat the answer? by Michael R. Dashwood, Zeynep Celik, Gokce Topal

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Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs by Yuchen Duan, Qingqing Zhou, Yu Li, Chi Qin, Ziyang Wang, Hongxing Kan, Hongxing Kan, Jili Hu, Jili Hu

“…This approach could play a crucial role in modernizing TCM research and improving access to clinical insights. Future research may explore expanding the dataset and refining the query system for broader applications.…”
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Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation by Tomohisa Seki, Yoshimasa Kawazoe, Yoshimasa Kawazoe, Hiromasa Ito, Yu Akagi, Toru Takiguchi, Kazuhiko Ohe, Kazuhiko Ohe

“…These findings suggest a need for improved control over image hallucination and indicate that performance evaluation using the percentage of correct answers to multiple-choice questions may not be sufficient for performance assessment in VQA tasks.…”
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Analyzing Diagnostic Reasoning of Vision–Language Models via Zero-Shot Chain-of-Thought Prompting in Medical Visual Question Answering by Fatema Tuj Johora Faria, Laith H. Baniata, Ahyoung Choi, Sangwoo Kang

“…Medical Visual Question Answering (MedVQA) lies at the intersection of computer vision, natural language processing, and clinical decision-making, aiming to generate accurate responses from medical images paired with complex inquiries. …”
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From Questions to Answers: Teaching Evidence-Based Medicine Question Formulation and Literature Searching Skills to First-Year Medical Students by Juliana Magro, Caitlin Plovnick, Gregory Laynor, Joey Nicholson

“…After the workshop, students completed a posttest. Students showed improvement in differentiating background and foreground questions (p < .001), formulating answerable clinical questions (p < .001), and developing appropriate database searches (p < .001 and p = .002). …”
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The Use of the Cloze Test in Reading Comprehension Assessment in Brazil: Post-Pandemic Challenges by Flávia Oliveira Freitas, Gislane Evangelista dos Santos, Raquel Meister Ko Freitag

“…The criteria for analyzing these answers are based on Taylor’s (1953) exact answers initial proposal (Brown 1980; 2013), added to other assessment instruments used in the Psychology field. …”
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How reliable are ChatGPT and Google’s answers to frequently asked questions about unicondylar knee arthroplasty from a scientific perspective? by Ali Aydilek, Ömer Levent Karadamar

“…Results A total of 83.3% of ChatGPT’s responses were found to be consistent with academic sources, whereas this rate was 58.3% for Google. ChatGPT’s answers of 142.8 words, compared to Google’s 85.6-word average. …”
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Accuracy, appropriateness, and readability of ChatGPT-4 and ChatGPT-3.5 in answering pediatric emergency medicine post-discharge questions by Mitul Gupta, Aiza Kahlun, Ria Sur, Pramiti Gupta, Andrew Kienstra, Winnie Whitaker, Graham Aufricht

“…This study compared 2 versions of ChatGPT in answering post-discharge follow-up questions in the area of pediatric emergency medicine (PEM). …”
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The pearls and pitfalls of setting high-quality multiple choice questions for clinical medicine by Mergan Naidoo

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Explanation and design of mentoring in order to promote human resources activities in the National Company of Southern Oil-bearing Regions by Ali Ghasemi Ghasemvand, Vahid Chenari, Mehrdad Hamari, Seyyed Ali Akbar Ahmadi

“…Abstract The aim of the current research is to explain and design mentoring in order to improve human resources activities in the National Company of Southern Oil Regions. …”
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Mother: a maternal online technology for health care dataset by Odongo Steven Eyobu, Brian Angoda Nyanga, Lukman Bukenya, Daniel Ongom, Tonny J. Oyana

“…The answers to the questions were provided and validated by professional medical personnel. …”
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Arch-Eval benchmark for assessing chinese architectural domain knowledge in large language models by Jie Wu, Mincheng Jiang, Juntian Fan, Shimin Li, Hongtao Xu, Ye Zhao

“…The results reveal significant differences in the performance of these models in the domain of architectural knowledge question-answering. Our findings show that the average accuracy difference between Chain-of-Thought (COT) evaluation and Answer-Only (AO) evaluation is less than 3%, but the response time for COT is significantly longer, extending to 26 times that of AO (62.23 seconds per question vs. 2.38 seconds per question). …”
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Comparative performance of ChatGPT, Gemini, and final-year emergency medicine clerkship students in answering multiple-choice questions: implications for the use of AI in medical e... by Shaikha Nasser Al-Thani, Shahzad Anjum, Zain Ali Bhutta, Sarah Bashir, Muhammad Azhar Majeed, Anfal Sher Khan, Khalid Bashir

“…While these tools show promise for answering multiple-choice questions (MCQs), their efficacy in specialized domains, such as Emergency Medicine (EM) clerkship, remains underexplored. …”
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Enhancing responses from large language models with role-playing prompts: a comparative study on answering frequently asked questions about total knee arthroplasty by Yi-Chen Chen, Sheng-Hsun Lee, Huan Sheu, Sheng-Hsuan Lin, Chih-Chien Hu, Shih-Chen Fu, Cheng-Pang Yang, Yu-Chih Lin

“…This study aims to evaluate and compare the performance of these LLMs in answering frequently asked questions (FAQs) about Total Knee Arthroplasty (TKA), with a specific focus on the impact of role-playing prompts. …”
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What matters to patients with multiple sclerosis? Identifying patient-relevant attributes using a ranking exercise with open-ended answers from an online survey in Italy by Maria Pia Amato, Ulrik Kihlbom, Emilio Portaccio, Karin Schölin Bywall, Jennifer Viberg Johansson, Sylvia MARTIN, Claudia Niccolai, Guido Pasquini, Filippo Gerli, Sara Della Bella, Matteo Betti

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