Will ChatGPT undermine ethical values in nursing education, research, and practice?

The rapid integration of Artificial Intelligence (AI) tools, such as ChatGPT, DeepSeek, etc., into academic and professional settings has raised important questions about their influence on human cognition. This study examines the relationship between reliance on AI tools and critical thinking skills, with a particular focus on cognitive load. A quantitative survey design was employed, using structured questionnaires to collect data from 350 university students across diverse disciplines. Measures assessed the extent of AI usage, perceived cognitive load, and levels of critical thinking. AI tool use and critical thinking while controlling for demographic and educational factors. Findings indicate that frequent use of AI tools is associated with significantly lower reported cognitive load during complex tasks (β = –0.37, p < .01) but also with slightly lower self-assessed critical thinking skills (β = –0.21, p < .05). Results suggest that while AI support can reduce mental effort, it may inadvertently discourage deeper engagement with information. Implications for education and workplace training include encouraging deliberate reflection and structured critical analysis when integrating AI tools.

Purpose: This analysis aims to propose guidelines for artificial intelligence (AI) research ethics in scientific publications, intending to inform publishers and academic institutional policies in order to guide them toward a coherent and consistent approach to AI research ethics.Methods: A literature-based thematic analysis was conducted. The study reviewed the publication policies of the top 10 journal publishers addressing the use of AI in scholarly publications as of October 2024. Thematic analysis using Atlas.ti identified themes and subthemes across the documents, which were consolidated into proposed research ethics guidelines for using generative AI and AI-assisted tools in scholarly publications.Results: The analysis revealed inconsistencies among publishers’ policies on AI use in research and publications. AI-assisted tools for grammar and formatting are generally accepted, but positions vary regarding generative AI tools used in pre-writing and research methods. Key themes identified include author accountability, human oversight, recognized and unrecognized uses of AI tools, and the necessity for transparency in disclosing AI usage. All publishers agree that AI tools cannot be listed as authors. Concerns involve biases, quality and reliability issues, compliance with intellectual property rights, and limitations of AI detection tools.Conclusion: The article highlights the significant knowledge gap and inconsistencies in guidelines for AI use in scientific research. There is an urgent need for unified ethical standards, and guidelines are proposed for distinguishing between the accepted use of AI-assisted tools and the cautious use of generative AI tools.

The rapid advancements in artificial intelligence (AI) have significantly transformed various domains, including education, by introducing innovative tools that reshape teaching and learning processes. This research investigates the perceptions and attitudes of students towards the use of AI tools in their academic activities, focusing on constructs such as perceived usefulness, the perceived ease of use, security and privacy concerns, and both positive and negative attitudes towards AI. On the basis of Technology Acceptance Model (TAM) and the General Attitudes towards Artificial Intelligence Scale (GAAIS), this research seeks to identify the factors influencing students’ behavioral intentions and actual adoption of AI tools in educational settings. A structured survey was administered to students at Multimedia University, Malaysia, capturing their experiences and opinions on widely used AI tools such as ChatGPT, Quillbot, Grammarly, and Perplexity. Hypothesis testing was used to evaluate the statistical significance of relationships between the constructs and behavioral intention and actual use of the AI tools. The findings reveal a high level of engagement with AI tools among University students, primarily driven by their perceived benefits in enhancing academic performance, improving efficiency, and facilitating personalized learning experiences. The findings also uncover significant concerns related to data security, privacy, and the potential over-reliance on AI tools, which may hinder the development of critical thinking and problem-solving skills.

Critical thinking and collaboration skills are fundamental skills that must be owned by teachers in the 21st- century. Critical thinking skills make teachers more sensitive and critical of the teaching and learning process so the teachers can continue to improve the quality of their learning. Improving the learning process will be maximized if a teacher collaborates with other teachers to design improvements in the teaching and learning process. The development of critical thinking and collaboration skills will be maximized if they realize the importance of having these skills. The purpose of this paper is to outline the opinions of prospective teacher students about how important the development of critical thinking and collaboration skills for prospective teacher- students. The method of this research was descriptive and literature study. Data retrieval was carried out through questionnaires that were given to 224 prospective teacher students at Universitas Negeri Malang. The questionnaire was filled out by 63 postgraduate and 161 undergraduate students. The purpose of the questionnaire was to find out the opinions of prospective teacher students about how important the development of critical thinking and collaboration skills is. Analysis of the data was carried out using qualitative analysis techniques. The results of the questionnaire showed that all prospective teacher-students agree that the development of critical thinking and collaboration skills is important, especially for prospective teacher-students. These results indicate the need for developing critical thinking and collaboration skills for prospective teacher-students through various models/methods/strategies in learning.

As early adopters of an emerging technology, the Tablet PC (TPC), certain University of Houston Information Systems Technology faculty began to integrate TPCs into the undergraduate curriculum in Fall 2003. Classroom experiences revealed the tool as particularly engaging to Information Systems Technology students. Thus, the authors now believe that TPCs have great potential to improve critical thinking skills of Information Systems Technology students if activities can be developed that capitalize on the inherent capability of the TPC to support visualization.We have just begun a formal investigation of the effectiveness of the TPC as an instructional tool that facilitates the development of critical thinking and learning skills in undergraduate Information Systems Technology students. The investigation extends previous work on the effectiveness of mind maps for improving critical thinking and problem solving skills by combining the visual learning technique of mindmapping with the emerging technology of the TPC and pen-enabled mindmapping software. The research question to be answered is: Do critical thinking skills of Information Systems Technology students improve when mindmapping activities are incorporated into the classroom and delivered via technology.In this paper, we first provide background information on the development of critical thinking and learning skills, the role of visual learning in the development of critical thinking and learning skills, and visual learning tools and techniques such as semantic networks, concept mapping, and mind mapping. We then describe the scope of the project we are undertaking and provide initial results of development efforts to create instructional modules and activities focused on mindmaps.

Objective: To explore the perception of university students on the use of Artificial Intelligence (AI) tools for the development of autonomous learning. Theoretical Framework: The research is based on Technological Acceptance Theory and Constructivism, focusing on the perception of AI in autonomous learning of university students. Method: Quantitative approach with a descriptive scope, the sample consisted of 665 students enrolled in the Faculty of Education Sciences and Languages (FCEI) of the Peninsula de Santa Elena State University (UPSE)-Ecuador; in the collection of information, the Questionnaire of Perception on the Use of Artificial Intelligence for Autonomous Learning was designed based on 4 dimensions of both variables, and the statistical program SPSS version 29 was used for data processing. Results and Discussion: The results indicate that students show a favorable perception towards the use of AI tools for the autonomous learning process, however, although AI is recognized as a potential tool in university environments, there are still challenges to be overcome. Research Implications: The study has practical implications for strengthening in students the digital competencies needed to effectively use AI tools in their autonomous learning. Originality/Value: The research provides data on the perception of AI tools among university students, offering a starting point for future technology integration strategies in universities.

The integration of artificial intelligence (AI) in education has the potential to revolutionize teaching and learning, particularly in the development of students’ critical thinking skills. This study explores science instructors' familiarity, perceptions, and experiences with using AI to enhance students' critical thinking skills, as well as the level of institutional support for AI integration in teaching. A quantitative survey was conducted among 20 science instructors from higher education institutions in Isabela, Philippines. The findings reveal that while instructors acknowledge AI's potential to improve educational outcomes, there is a significant gap in formal AI training and literacy among educators. Positive correlations were found between AI literacy, AI integration, and critical thinking development, suggesting that as AI literacy increases, AI integration and enhancement of critical thinking skills also increase. Regression analysis identified AI integration as a significant predictor of critical thinking development. Challenges remain in the effective implementation of AI, including concerns about overreliance on AI-generated responses and the need for clear assessment guidelines. Interestingly, years of teaching experience did not significantly influence participants’ AI literacy, perceptions, or integration. This study highlights the importance of developing comprehensive AI literacy programs for educators and integrating AI into curriculum structures to balance AI-enhanced learning with human-centered pedagogy. These findings emphasize the need for thoughtful implementation and ongoing research to effectively leverage AI in promoting critical thinking skills in science education.

Artificial intelligence technologies have transformed the education sector and require the introduction of new teaching and learning practices, the development of artificial intelligence courses, and educational research. The aim of the study is to analyse regulatory documents in the context of introducing artificial intelligence technologies into the educational process and to determine the trajectory of preparing students for the use of artificial intelligence technologies. The article analyses current approaches to integrating artificial intelligence technologies into the educational process of higher education institutions and their impact on the development of digital competence among students. The challenges, opportunities and risks of using artificial intelligence technologies in education are identified, and international and Ukrainian regulatory documents governing the introduction of artificial intelligence are outlined, in particular the UNESCO framework, the European Commission’s ethical recommendations on the use of artificial intelligence for educators, the European Strategy for Artificial Intelligence in Science, and the Concept of Artificial Intelligence approved in Ukraine. The need to create a regulatory and ethical framework for the implementation of artificial intelligence technologies in educational institutions is emphasised. Based on an analysis of regulatory documents and best practices, a conceptual technology for integrating artificial intelligence technologies into the educational process has been developed, which includes target, technological, content-methodological, ethical, and performance-evaluation components. The trajectory of training students to use artificial intelligence technologies in their professional activities and the experience of introducing the academic discipline ‘Artificial Intelligence Technologies’ are presented. The necessity of forming in students a conscious, safe and responsible use of artificial intelligence tools, the development of critical thinking and the development of strategies for educational institutions in the context of using artificial intelligence technologies is substantiated. The study showed that the use of artificial intelligence contributes to the high-quality organisation of the educational process, the improvement of teaching methods, and the development of future-oriented critical thinking skills in students.

Technical English (TE) proficiency is crucial for the future careers of polytechnic students. While Artificial Intelligence (AI) tools offer significant potential to enhance language learning, their effectiveness relies on student acceptance and use. There is limited understanding of what drives polytechnic students to adopt these tools specifically for TE. This study aims to identify the key factors influencing polytechnic students' acceptance and use of AI tools in this context and employ a quantitative approach based on the Technology Acceptance Model (TAM) and Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze survey data collected from 100 Polytechnic Kota Bharu (PKB) students enrolled in TE courses. The research investigates core antecedents, primarily perceived usefulness (PU) and perceived ease of use (PEOU), and their impact on students' behavioral intention (BI) to use AI tools. The potential influence of external factors such as social influence and lecturer support are examined. The study found PEOU was identified as a critical antecedent, which significantly positively affected PU and BI. The study reaffirmed the significant predictive power of BI on AU, indicating that students' stated intentions reliably translate into their subsequent usage behaviour. This research will offer practical recommendations for educators seeking to integrate AI tools effectively into TE instruction. Theoretically, this study contributes to understanding technology adoption within the specific domain of technical and vocational language education, providing valuable insights for leveraging AI to improve essential communication skills for aspiring technical professionals.

This paper discusses the integration of artificial intelligence (AI) tools in education, delineating their potential to transform pedagogical practices alongside the challenges they present. Generative AI models like ChatGPT, had a disruptive impact on teaching and learning, due to their ability to create text, images, and sound, revolutionizing educational content creation and modification. However, nowadays the educational community is polarized, with some embracing AI for its accessibility and efficiency thus advocating it as an indispensable tool, while others cautioning against risks to academic integrity and intellectual development. This document is designed to raise awareness about AI tools and provide some examples of how they can be used to improve education and learning. From an educator’s perspective, AI is an asset for curriculum development, course material preparation, instructional design and student assessment, while reducing bias and workload. For students, AI tools offer personalized learning experiences, timely feedback, and support in various academic activities. The Turkish Biochemical Society (TBS) Academy recommends educators to embrace and utilize AI tools to enhance educational processes, and engage in peer learning for better adaptation while maintaining a critical perspective on their utility and limitations. The transfer of AI knowledge and methods to the teaching experiences should complement and not replace the educator’s creativity and critical thinking. The paper advocates for an informed embrace of AI, AI fluency among educators and students, ethical application of AI in academic settings, and continuous engagement with the evolving AI technologies, ensuring that AI tools are used to augment critical thinking and contribute positively to education and society.

Introduction: The availability and use of artificial intelligence (AI) tools is accelerating significantly. As these technologies proliferate, many post-secondary institutions have responded by banning students from using AI tools such as ChatGPT and framing the conversation as breaches of academic integrity. Background: Despite these institutional responses, many students adopt these tools as part of their learning journey. In health care settings, the adoption of such tools in the context of patient care provision is a reality. Consequently, there is a relevant pedagogical opportunity to examine how such tools inform the experiential learning of nursing students and their future practice. Methods: To address the dearth of information regarding nursing students’ perceptions of using AI tools, a Canadian university teaching team incorporated ChatGPT into an undergraduate nursing course assignment. A pilot quasi-experimental pre-post-test survey design was employed to examine student perceptions of using ChatGPT. After obtaining institutional ethics approval, a neutral third party collected the anonymous data. Findings: Pilot study results highlighted significant student concerns regarding the ethics of using AI tools. Additionally, students described such tools as meaningful avenues to support learning access and equity. Finally, students identified a high probability of use of AI tools in their future practice, suggesting that exposure and support during learning can positively influence responses to these tools in practice settings. Conclusion: The students surveyed are now practising nurses; thus, findings may provide insight into perceptions of new nurses regarding the integration of AI to support competencies required by the nurses of tomorrow.

Background: The low levels of students' critical thinking skills and science process skills in diffusion and osmosis material remain a problem in biology learning. This study aims to develop a student worksheet based on the vee diagram to improve students’ critical thinking and science process skills. Methods: The research employed a Research and Development (R&D) approach using the ADDIE model. The subjects were 11th-grade science students at MA Nurul Huda Munjul, consisting of 25 students in the experimental class and 25 in the control class. Instruments included multiple-choice tests, observation sheets, and questionnaires. Data were analyzed using N-gain and t-tests. Results: The developed student worksheet was valid (97.02%) and effectively implemented (90%). Students' critical thinking skills increased with an N-Gain of 0.41 (moderate), compared to 0.05 (low) in the control class. Science process skills also improved to 81.75% (high), outperforming the control class (53.63%). The correlation between critical thinking and science process skills was not significant (r = 0.298 < r table = 0.396; sig. = 0.149). Students’ responses to the student worksheet were in the very good category (85.33%). Conclusion: Thus, the development of vee diagram-based student worksheets on diffusion and osmosis material can enchance student’s critical thinking and science process skills.

Critical thinking and creative thinking skills are needed to improve the quality and competitive human resources. Therefore, the application of appropriate learning models is expected to stimulate students' critical thinking and creative thinking skills. This research aims to improve critical thinking and creative thinking skill scores using the ASICC learning model. This type of research is classroom action research which is carried out in 2 cycles, with 3 meetings in each cycle. Data on students' critical thinking and creative thinking skills were collected using essay tests on science learning materials. Data analysis was carried out by comparing the N-gain scores in cycle 1 and cycle 2 for students' critical thinking and creative thinking skills. The results of the research revealed that there was an increase that occurred in cycle 2, namely 5.6% in the aspects of moderate critical thinking skills and high creative thinking, as well as in the aspects of critical thinking skills and high creative thinking by 5.6%. Meanwhile, in the previous cycle, these two aspects did not have a high category. Another result found from this research is that students who have low critical thinking skills do not necessarily have low creative thinking skills. This is because students who have low critical thinking skills may have moderate creative thinking skills or vice versa. Thus, the application of the ASICC learning model is effective in improving the scores of critical thinking skills and creative thinking skills of students at Junior High School 5 Kertosono.

The use of problem based learning (PBL) to improve critical thinking skills and Indonesian language skills, to improve students' critical thinking skills, problem based learning (PBL) is the right learning model to use. The purpose of problem-based learning is to find out how problem-based learning can help students in improving their critical thinking and language skills. The subject in this study focuses on how students' Indonesian language skills. Data collection techniques are done by observation and finding references from various research journals. The research method used in this study is quantitative method, quantitative research to try to find out how effective PBL is in improving certain skills, such as critical thinking and Indonesian language skills. PBL model can serve as a useful tool to improve students' critical thinking and Indonesian language skills.

Integrating artificial intelligence (AI) technologies into academic writing presents opportunities and challenges, as use of AI promotes efficiency in knowledge production but also exacerbates existing disparities between developed and developing nations, with developing nations lagging behind in terms of access and the expertise for using them productively. Moreover, while AI tools provide support for innovative research, writing assistance, and data analysis, there are growing concerns about the quality of postgraduate student theses and publications, written using AI tools, as they contain false statements and violate research ethics. Based on survey data and secondary literature, this study investigated the current application of AI tools in academic writing by Humanities and Social Science postgraduate students in a Kenyan university. The study aimed to: establish the uptake and use of AI tools in academic writing, assess student attitudes on using AI tools in academic writing; and explore challenges influencing the use of AI tools in academic writing. The study revealed that students often use AI tools that generate content, provide analysis and paraphrase texts, such as chatGPT, Gemini Grammarly and Quillbot. Students had positive attitudes to adopting AI tools for academic writing, however, they reported limitations in proficient use of AI tools, poor writing and research skills, along with lack of ICT resources and AI tools. It is recommended that for effective integration of AI tools in academic writings, higher education institutions should provide ICT resources, AI tools and offer training in research skills, writing skills and use of AI tools for writing.