STUDENTS’ ERROR ANALYSIS IN SOLVING PROBABILITY STORY QUESTIONS BASED ON REVISED NEWMAN THEOREM by Dyah Nirmala Sani, R Rosnawati

“…The specific factors of student errors are not thorough students, being in a hurry, having difficulty understanding the questions, did not master the material, forgetting the formula, hesitating in determining the formula, not re-check the answers, and were unable to write the final project answers/conclusions. …”
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Exploring ChatGPT’s Efficacy in Orthopaedic Arthroplasty Questions Compared to Adult Reconstruction Surgeons by Benjamin Nieves-Lopez, BS, Clayton Wing, MD, Bryan D. Springer, MD, Keith T. Aziz, MD

“…Conclusions: ChatGPT performed inferior to an Adult Reconstruction Fellow and Attending and it provided more accurate answers when prompted with text-only questions. These findings suggest that while ChatGPT can serve as a useful supplementary resource for arthroplasty topics, it cannot substitute for the clinical judgment required in detailed assessments. …”
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How Can We Make Scientific Events More Inclusive? Insights From Q&A Sessions and Surveys From an International Conference by Rebecca S. Chen, Tuba Rizvi, Ane Liv Berthelsen, Anneke J. Paijmans, Avery L. Maune, Barbara A. Caspers, Bernice Sepers, Isabel Damas‐Moreira, Isabel Schnülle, Jana Könker, Joseph I. Hoffman, Joelyn deLima, Jonas Tebbe, Kai‐Philipp Gladow, Lisa deVries, Marc Gilles, Nadine Schubert, Nayden Chakarov, Peter Korsten, Petroula Botsidou, Sabine Kraus, Stephen M. Salazar, Svenja Stöhr, Wolfgang Jockusch, Öncü Maraci

“…As hosts of the 37th International Ethological Congress, “Behaviour 2023”, we studied gender disparities that unfold during question‐and‐answer (Q&A) sessions using observational and experimental behavioural data and surveys. …”
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Critical Media Analysis Using Ai-powered Chatbots: Considerations And Applications In Efl Classrooms by Ali Belabbes, Fatiha Hamitouche

“…The purpose of the present study was to examine the influence of a direct instruction program of strategies for analysis of argumentation on students' quality of questions asked to AI tools for answers supporting their critically evaluation of media messages. …”
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Prevalence of Prohibited Questions During Plastic Surgery Integrated Residency Interviews: Regional Analysis and Contextual Insights by Athena Zhang, MD, Esperanza Mantilla-Rivas, MD, Ashley E. Rogers, MD, Theodore S. Hyman, MD, Md Sohel Rana, MBBS, MPH, Albert K. Oh, MD, Lisa R. David, MD, Jeffrey E. Janis, MD, FACS, Gary F. Rogers, MD, JD, LLM, MBA, MPH

“…In all, 52.7% of respondents reported being asked at least 1 prohibited question during the interviews. Of those, 90% of respondents reported answering these questions truthfully, and 43.3% stated that prohibited questions affected their ranking of particular programs. …”
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Artificial Intelligence Chatbot as a Companion for Cancer Patients About Most Common Questions: Analysis of Readability and Quality by Efe Cem Erdat, Elif Berna Köksoy, Güngör Utkan

“…Aim: Advances on artificial intelligence (AI) have led to development of AI chatbots and more people are using AI chatbots to seek answers to their questions every day. We conducted this study to investigate the readability and quality of answers generated by large language model AI chatbots as companions in answering questions for cancer patients. …”
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"What happens when you get corona?": Children's questions and parental responses about the COVID-19 pandemic. by Graciela Trujillo Hernández, David Menendez, Seung Heon Yoo, Rebecca E Klapper, Maria H Schapfel, Kailee A Sowers, Victoria E Welch, Karl S Rosengren

“…For parents' responses three latent classes were found: (1) the virus/self-protection [54%], (2) reassurance/the virus [28%], and (3) simple yes/no answers without further explanation [17%]. These results suggest that children's questions and parental responses can be captured in terms of a discrete number of latent classes.…”
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Evaluating Accuracy and Readability of Responses to Midlife Health Questions: A Comparative Analysis of Six Large Language Model Chatbots by Himel Mondal, Devendra Nath Tiu, Shaikat Mondal, Rajib Dutta, Avijit Naskar, Indrashis Podder

“…Conclusion: LLM chatbots can answer midlife-related health questions with variable capabilities. …”
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Five advanced chatbots solving European Diploma in Radiology (EDiR) text-based questions: differences in performance and consistency by Jakub Pristoupil, Laura Oleaga, Vanesa Junquero, Cristina Merino, Suha Sureyya Ozbek, Lukas Lambert, European Society of Radiology (ESR)

“…Scores per question were calculated using a weighted formula that accounted for correct and incorrect answers (range 0.0–1.0). …”
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Evaluating the utility of ChatGPT in addressing conceptual and non-conceptual questions related to urodynamic quality control and trace analysis by Xiao Zeng, Hong Mo, Hong Shen, Tao Jin

“…Abstract To investigate the applicability of ChatGPT, in answering conceptual and non-conceptual questions related to urodynamic quality control, including trace analysis and report interpretation. …”
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A Comparative Study of the Accuracy and Readability of Responses from Four Generative AI Models to COVID-19-Related Questions by Zongjing Liang, Yun Kuang, Xiaobo Liang, Gongcheng Liang, Zhijie Li

“…This paper uses the questions and answers in the COVID-19 prevention guidelines issued by the U.S. …”
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How to Ask the ‘Right’ Questions about Artificial Intelligence in Social Sciences? Human-Centered AI as a Problem and as a Solution by Andrey Rezaev

“…Yet, there is no solid sociological (social sciences in general) tradition of studying AI phenomena up to now. Why? Part of the answer: Woolgar’s question – are artificially intelligent machines sufficiently like humans to be treated as the subject of sociological inquiry? …”
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Performance of ChatGPT-4 Omni and Gemini 1.5 Pro on Ophthalmology-Related Questions in the Turkish Medical Specialty Exam by Mehmet Cem Sabaner, Zübeyir Yozgat

“…Ophthalmology-related questions were identified and categorized into sections. …”
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Replay of incidentally encoded novel odors in the rat by Cassandra L. Sheridan, Lauren Bonner, Jonathon D. Crystal

“…Next, memory of the third-last odor was assessed. The rats correctly answered the unexpected question. High accuracy when confronted with novel odors provides evidence that the rats did not automatically encode odors for the purpose of taking an upcoming test, ruling out stimulus generalization. …”
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Competence of Science Foundation students in some simple strategies for problem solving by Mailoo Selvaratnam, Nkosana Mavuso

“…The study method adopted was the analysis of students' answers to carefully designed questions that tested whether they competently used the following strategies for problem solving: clarifying problems by presenting them clearly, identifying explicitly the principles and laws associated with the solutions, focusing sharply on the goal, using equations for deductions and calculations and proceeding step-by-step with the solution. …”
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Evaluating the readability, quality, and reliability of responses generated by ChatGPT, Gemini, and Perplexity on the most commonly asked questions about Ankylosing spondylitis. by Mete Kara, Erkan Ozduran, Müge Mercan Kara, İlhan Celil Özbek, Volkan Hancı

“…It has been found that the answers given by AI chatbots to AS-related questions exceed the recommended readability level and the reliability and quality assessment raises concerns due to some low scores. …”
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Impression Management by Information Technology Professionals When Reporting Flow at Work: A Study at the Individual and Team Levels of Occupational Culture by Pedro Jácome de Moura, Carlo G. Porto-Bellini, Eusebio Scornavacca

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Evaluation of content validity and feasibility of the World Falls Guidelines’ three key questions to identify falls among older adult users of home care services in Norway by Rune Solli, Linda Aimée Hartford Kvæl, Nina Rydland Olsen, Therese Brovold

“…Still, HCPs emphasised the necessity of their training on how to best ask the questions and determine appropriate actions based on users’ responses. …”
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Machine learning methods (tokenization) in marketing research by E. V. Ganebnykh, N. K. Savelieva, A. A. Sozinova, O. V. Fokina, I. G. Altsybeeva

“…Based on the groups, the respondents’ answers have been further combined into relatively homogeneous clusters including similar answers to open-ended questions. …”
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