Artificial intelligence tools utilized in nursing education: Incidence and associated factors.

BACKGROUND: Artificial intelligence technology is among the most significant advancements that provide students with effective learning opportunities in this digital era. Therefore, the National League for Nursing states that it is necessary to reframe the nursing education process. OBJECTIVE: This study aimed to determine the factors that affect the usefulness and sustainability of artificial intelligence tools used in nursing education. DESIGN: A descriptive cross-sectional study was conducted among. Three models, including the Technological Acceptance Model (TAM), the Information System Success Model (ISSM), and the Online Learning Self-Efficacy (OLSE), were used. PARTICIPANT: All of fourth- year undergraduate nursing students who were enrolled in nursing department regularly (N = 420), and who respond (n = 204). SETTING: In the nursing department of the health professions faculty at AL-Quds University, in Palestine. RESULTS: Among the 204 students who responded, 9.80 % employed simulation, 5.40 % utilized virtual reality, 19.10 % used Chat GPT, 42.20 % used mobile applications, and 23.50 % utilized PowerPoint AI as part of their learning process. The mean and standard deviation (SD) were computed for key parameters related to the information system success model (AI) (ISSM) (M = 4.52, SD = 1.17). Technology Acceptance Model (TAM) (M = 4.61, SD = 1.16). Online Learning Self-Efficacy (OLSE) (M = 4.55, SD = 1.28). CONCLUSION: There is a need to adapt teaching strategies and integrate AI tools as useful learning tools, which have become essential for students to complete their learning activities through enhancing knowledge of the multimodal technological factors that should be taken into consideration while creating AI tools across several domains for universities and developers.

An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model.

Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students' engagement with AI courses remains a challenge. This study addresses this gap by extending the technology acceptance model (TAM) to incorporate cognitive factors such as AI intrinsic motivation (AIIM), AI readiness (AIRD), AI confidence (AICF), and AI anxiety (AIAX), alongside human-computer interaction (HCI) elements like user interface (UI), content (C), and learner-interface interactivity (LINT) in the context of using generative AI (GenAI) tools. By including these factors, an expanded model is presented to capture the complexity of student engagement with AI education. To validate the model, 210 Chinese students spanning grades K7 to K9 participated in a 1 month artificial intelligence course. Survey data and structural equation modeling reveal significant relationships between cognitive and HCI factors and perceived usefulness (PU) and ease of use (PEOU). Specifically, AIIM, AIRD, AICF, UI, C, and LINT positively influence PU and PEOU, while AIAX negatively affects both. Furthermore, PU and PEOU significantly predict students' attitudes toward AI curriculum learning. These findings underscore the importance of considering cognitive and HCI factors in the design and implementation of AI education initiatives. By providing a theoretical foundation and practical insights, this study informs curriculum development and aids educational institutions and businesses in evaluating and optimizing AI4K12 curriculum design and implementation strategies.

Factors, Barriers, and Recommendations Related to Mobile Health Acceptance among the Elderly in Saudi Arabia: A Qualitative Study.

The use of mobile health (mHealth) is providing value to the elderly, but their acceptance of it is lower than in other age groups. Thus, this study aims to explore the factors influencing their intention to use mHealth and identify barriers and suggested solutions among elderly people aged 50+ years in Saudi Arabia, guided by the Healthcare Technology Acceptance Model (H-TAM). In this qualitative study, 14 elderly people (six females and eight males) were recruited. Participants were included if they were Saudi, aged 50+ years, and used smartphones. Participants were engaged in semi-structured interviews, which were transcribed verbatim and thematically analyzed. Peer review was conducted and saturation was reached to maintain rigor. Three major themes emerged: (1) factors affecting intention to use, (2) concerns and barriers, and (3) solutions and recommendations. Influenced factors were identified as perceived usefulness, perceived need, perceived ease of use, perceived benefits, familiarity, trust in technology, advice acceptance, facilitating conditions (family support), and compatibility. Older participants, particularly those with lower educational attainment, displayed less familiarity with mHealth. Lack of digital literacy, health and aging issues, worry about making mistakes, and social issues emerged as central barriers. Addressing these factors in the design and promotion of mHealth can enhance its successful adoption among the elderly.

Insights from a dataset on behavioral intentions in learning information flow diagram capability for software design.

Developing complex software may be difficult for students or those with less technical expertise in software design due to the large number of diagrams and the complexity of their relationships. Unified modeling language (UML) provides conceptual software design as a system's blueprints, including programming statements, software processes, software components, deployment, design, and development, whereas database schemas use UML for an object-oriented database and entity relation model (ERD) for a relational database. An information flow diagram (IFD) is a technical tool for designing software that includes Infrastructure, data and information, and processing flow. IFD can benefit from examining a new paradigm that facilitates a more practical and rapid understanding of information designs. This data set contains the results of an investigation into the factors affecting the acceptance of IFD for software design by college students. Google forms are used to collect information from undergraduate and graduate computer science, IT, and software engineering students. The extended technology acceptance model (TAM) will focus on studying factors affecting acceptance or decision to use IFD, which includes the ability to create information flow diagrams, satisfaction with software design, and business requirement expectations. This study was carried out at four Thai universities. Research data collection for software design and development courses spanned the academic year 2021. Concerning the use of IFD in software design, 537 respondents were questioned regarding their perceptions, behavioral intentions, information flow diagram capability, software design satisfaction, and business requirement expectations. All students completed the survey. To ensure that participation was voluntary, each participant gave informed consent. Any collected information was rendered anonymous. The participants were given the information solely for research purposes. Ethical values, respect, autonomy, compassion, and confidentiality were guaranteed. The survey's primary questions correspond to the acceptance model's independent variables. Online distribution of the questionnaire yielded 537 valid responses. The dataset consists of 1) student demographics and 2) student perspectives on the factors influencing their intent to learn and apply IFD to software design. Partial Least Squares - Structural Equation Modelling was utilized to analyze the data (PLS-SEM). With the help of these data, researchers, software developers, and educators in various settings can use and analyze alternative software designs and validate models used to study and predict the acceptance of behaviors and factors.

The integrated social cognitive theory with the TAM model: The impact of M-learning in King Saud University art education.

Technology in higher education now includes a substantial amount of mobile learning (M-learning). M-learning also enables students to use the internet and technology for research, teamwork, and idea sharing. Additionally, in order to use M-learning systems, both students and teachers must accept M-learning. However, not enough research has been done in Saudi Arabia to determine how satisfied students are with their real use of mobile learning for educational purposes. As a result, the current study intends to investigate students' behavioral intentions to utilize mobile learning, their happiness with the technology, as well as their impressions of how they actually use mobile learning systems. Therefore, this study aimed to develop a new model by integrating social cognition theory and the technology acceptance model to better understand the elements that influence the adoption of mobile learning in higher education (TAM). The majority of the information was gathered through a survey, with 412 university students' randomly assigned questionnaires. The data analysis tools utilized were SPSS and Smart-PLS3.3.3. The studies proposed research model could, according to the study's findings, account for 52.5% of the variation in how mobile learning systems were actually used. This information is crucial for understanding how social and educational technology factors affect the actual use of mobile learning systems. With only two hypotheses being rejected, this study created a new model that supported 16 of them. The findings indicated a beneficial relationship between 10 social and educational technology elements. The findings also indicated a favorable impact on students' behavioral intentions to use and student happiness, which favorably impacts the actual use of M-learning in higher education. In order to improve students' academic performance via mobile learning, social cognitive theory and the TAM model are combined as a consequence of the study's empirical results. Therefore, we encourage students to collaborate with their colleagues at higher education institutions and use M-learning in their classrooms.

Design is More Than Looks: Research on the Affordance of Review Components on Consumer Loyalty.

Background: Online review system contains multiple components, such as ratings, review text, product pictures, and video uploads, that could affect consumer loyalty. However, how the affordance of such components influences perceptions and behaviors of consumers remains unclear. We extend stimulus-organism-response (S-O-R) theory to the online review system. Specifically, we combine affordance theory and the technology acceptance model (TAM) to investigate the relations among the affordance of review systems, consumers' perceived beliefs, and their loyalty. Methods: We surveyed 320 customers on their online shopping experiences in China. We tested our hypotheses using the partial least squares path structural equation modeling (PLS-SEM) method. We report the direct effect of affordances of review components on consumer loyalty and its indirect effects on consumer loyalty through perceived beliefs. Results: Our results show that integrity and social interaction affordance of review components have significant relations with perceived ease of use, perceived usefulness, and perceived enjoyment. Intelligent topic mining reveals a positive relation on perceived enjoyment. Operability has a positive relation with perceived ease of use and perceived usefulness. These three consumer-perceived beliefs can mediate, to different degrees, the relationship between affordance of review components and consumer loyalty. Conclusion: This research takes an innovative approach to offer insights into the relationships between IT affordances and consumer perceptions. We examine S-O-R theory through the lens of information technology and extend S-O-R theory by integrating IT affordances. Our research findings pave the way for businesses to design and implement more effective online review systems.

Exploring student satisfaction and acceptance of e-learning technologies in Saudi higher education.

The COVID-19 pandemic has rekindled interest in online learning as a desirable substitute. In Saudi Arabia's educational system, technology and online learning are becoming more and more significant. In order to prepare students for the digital age and Saudi Vision 2030, there is an increasing desire for educational institutions to use e-learning. Students and faculty at Saudi institutions now have more opportunities to better grasp the globalized digital age thanks to the integration and acceptance of digital technology into learning and teaching. Therefore, this study aims to analyze and investigate the educational quality, social influence, and TAM Model factors that increase the students' attitude toward using e-learning; thus, it affects students' satisfaction and academic performance. The study was conducted at two universities in Saudi Arabia. Structural equation modeling (SEM) and route analysis were used to evaluate the research model and analyze data from e-learning users through a questionnaire. The findings revealed that perceived ease of use (PEU) and perceived usefulness (PU) mediate the effects of educational quality (EDQ), social influence (SOI), and perceived enjoyment (PE), which in turn affect students' attitude toward use (ATU), and students' satisfaction with using e-learning systems (SSE). Additionally, the results demonstrated that the mediator factors had favorable "R square (R2)" values for adopting e-learning systems in higher education, with PEU = 0.562, PU = 0.712, ATU = 0.608, and SSE = 0.636. The hypotheses' findings led to the development of a validated instrument to measure students' online learning in Saudi Arabia's higher education.

[Systematic review of digital technology acceptance in older adults. Perspective of TAM models]. / Revisión sistemática de aceptación de la tecnología digital en personas mayores. Perspectiva de los modelos TAM.

In this study, a systematic review of researches published about the determining factors in the intention of the use of devices and digital technology in older adults has been carried out. The technology acceptance model is the framework used. The main result of the analysis of 60 scientific articles published between 2010 and 2020 has been summarized after a bibliographic research and a subsequent selection process in the most important bibliographic databases: Web of Science (n=45), Scopus (n=66) and Google Scholar (n=224). It has been proved the predominance of quantitative studies with a prevalence of study factors that associate the intention to use technology with: Facilitating conditions, experience, health, social support, emotions, perceived enjoyment, perceived satisfaction in using technology, anxiety, perceived risk, motivation, cost, subjective norm and social influence. The results of the systematic review allow us to conclude the urgent need to incorporate new research on the identification and influence of these factors that stand between older adults and technology, as possible barriers or facilitators of use.

Revisión sistemática de aceptación de la tecnología digital en personas mayores. Perspectiva de los modelos TAM / Systematic review of digital technology acceptance in older adults. Perspective of TAM models

En el presente estudio se realiza una revisión sistemática de investigaciones publicadas sobre los factores determinantes en la intención de uso de dispositivos y tecnología digital en las personas mayores desde el enfoque de los modelos de aceptación tecnológica. Tras una búsqueda bibliográfica y un posterior proceso de selección en las principales bases de datos bibliográficas Web of Science (n=45), Scopus (n=66) y Google Scholar (n=224), se resumen los principales resultados de 60 artículos científicos publicados entre 2010 y 2020. Se comprueba el predominio de estudios cuantitativos con una prevalencia de factores de estudio que asocian la intención de uso tecnológico con: condiciones facilitadoras, experiencia, salud percibida, apoyo social, emociones, disfrute y satisfacción percibida al utilizar tecnología, ansiedad, riesgo percibido, motivación, coste, norma subjetiva e influencia social. Los resultados de la revisión sistemática permiten concluir la necesidad de valorar la identificación e influencia en la adaptación funcional de estos factores que se interponen entre los mayores y la tecnología, como posibles barreras o facilitadores de uso. (AU)

In this study, a systematic review of researches published about the determining factors in the intention of the use of devices and digital technology in older adults has been carried out. The technology acceptance model is the framework used. The main result of the analysis of 60 scientific articles published between 2010 and 2020 has been summarized after a bibliographic research and a subsequent selection process in the most important bibliographic databases: Web of Science (n=45), Scopus (n=66) and Google Scholar (n=224). It has been proved the predominance of quantitative studies with a prevalence of study factors that associate the intention to use technology with: Facilitating conditions, experience, health, social support, emotions, perceived enjoyment, perceived satisfaction in using technology, anxiety, perceived risk, motivation, cost, subjective norm and social influence. The results of the systematic review allow us to conclude the urgent need to incorporate new research on the identification and influence of these factors that stand between older adults and technology, as possible barriers or facilitators of use. (AU)

Acceptability of smokers of a conceptual cigarette tracker as wearable for smoking reduction.

OBJECTIVE: The study aims to explore smokers' acceptance of using a conceptual cigarette tracker like a cigarette filter for smoking cessation using the Technology Acceptance Model (TAM). Smokers presenting to the family medicine clinics at a tertiary care center were asked to complete an anonymous questionnaire. RESULTS: A total of 45 participants were included. Two-thirds of the smokers reported that they would like to try such a tracker and perceived its usefulness in reducing the number of daily cigarettes consumed and increasing the motivation to join a smoking cessation program. A range of 40-50% of the participants had a neutral attitude towards the visibility of the tracker and its effect on social acceptance and self-image. The structural equation model with latent variables path analysis showed that only perceived usefulness correlated to the intention to adopt with statistical significance. Visibility was correlated with intention to adopt with a marginal p-value of 0.061. Driven by perceived usefulness, smokers may buy or try a cigarette tracker for smoking reduction or cessation.

Readiness for digital transformation of higher education in the Covid-19 context: The dataset of Vietnam's students.

With the development of digital technology, Vietnam's education has been undergoing significant changes. This is considered one of the eight important fields of the National Digital Transformation, so it needs to take advantage of opportunities to be able to train high-quality human resources according to international standards. Beside, the Covid-19 pandemic has quickly put pressure on the previously predicted trends in education such as the "Future University". This paper shows the data of an investigation on the factors affecting the readiness of Vietnamese students for digital transformation in the above context. The data is built based on the TAM model and sociological investigation method to collect multidimensional information from many perspectives of different individuals to have a basis for assessing the level of influence. The survey includes the main questions corresponding to the independent variables in the model: Self-study ability, Attitude, Perceived Usefulness, Perceived Ease of Use, and Covid-19. The authors distributed the questionnaire online and collected 913 valid responses.

Dataset on the Acceptance of e-learning System among Universities Students' under the COVID-19 Pandemic Conditions.

The COVID-19 pandemic has produced an unprecedented change in the educational system worldwide. Besides the economic and social impacts, there is a dilemma of accepting the new educational system "e-learning" by students within educational institutions. In particular, universities students have to handle several kinds of environmental, electronic and mental struggles due to COVID-19. To catch the current circumstances of more than two hundred thousand Jordanian university student during COVID-19. The students have been randomly selected to respond on an online survey using universities' portals and websites between March and April 2020. At the end of the data gathering process, we have received 587 records. The dataset includes 1) Demographics of students; 2) students' perspectives concerning the factors influencing their intention to use e-learning system within the Jordanian universities context. Data were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM). Next, the result has confirmed the positive of direct effect variables (subjective norm, perceived ease of use, and perceived usefulness) on the students' intention to use e-learning system. Next, the result has also confirmed the mediating effect of perceived usefulness and perceived ease of use between subjective norm and the behavioral intention to use the e-learning system with partially supported.

Users' acceptance of electronic patient portals in Lebanon.

BACKGROUND: Acceptance of Electronic patient portal (EPP) is instrumental for its success. Studies on users' acceptance in the Middle East region are scarce. This study aims to use the TAM as a framework to quantitatively describe potential users, diabetic and chronic high blood pressure patients and their providers, intention to use and factors influencing the intention to use EPP at AUBMC-FMC We concurrently test the internal construct validity and the reliability of the TAM. METHODS: A cross-sectional survey design and the vignette approach were used. For validation, we needed a minimum of 180 patients; all 35 attending physicians and 11 registered nurses were targeted. We used descriptive statistics to calculate the intention to use EPP and its determinants based on the TAM constructs. Exploratory factor analysis (EFA) and structural equation modeling (SEM) were employed to estimate significant path coefficients for patients only as the sample size of providers was too small. RESULTS: We had 199 patients, half intended to use EPP; 73% of providers (N = 17) intended to use EPP. Perceived ease of use and privacy concerns were significantly higher among providers than patients (Mean (M) = 0.77 vs M = 0.42 (CI: - 0.623; - 0.081)) and (M = 3.67 vs M = 2.13, CI: - 2.16; - 0.91) respectively; other constructs were not significantly different. Reliability of TAM revealed a Cronbach Alpha of α=.91. EFA showed that three components explained 73.48% of the variance: Behavioral Intention of Use (14.9%), Perceived Ease of Use (50.74%), Perceived Usefulness (7.84%). SEM found that perceived ease of use increased perceived usefulness (standardized regression weight = 0.49); perceived usefulness (0.51) had more predictive value than perceived ease of use (0.27) to explain the behavioral intention of use of the EPP. CONCLUSIONS: We found that providers valued the usefulness of EPP and were mostly intending to use it. This finding has yet to be tested in future studies testing actual use as intention and actual use may not be concordant. The intention to use among patients was lower than those reported in developed countries. We identified two factors that we need to address to increase use, namely perceived ease and usefulness, and proposed practical implications to address them; future research directions were also discussed.

Mobile wireless monitoring system for prehospital emergency care.

BACKGROUND: Latest achievement technologies allow engineers to develop medical systems that medical doctors in the health care system could not imagine years ago. The development of signal theory, intelligent systems, biophysics and extensive collaboration between science and technology researchers and medical professionals, open up the potential for preventive, real-time monitoring of patients. With the recent developments of new methods in medicine, it is also possible to predict the trends of the disease development as well the systemic support in diagnose setting. Within the framework of the needs to track the patient health parameters in the hospital environment or in the case of road accidents, the researchers had to integrate the knowledge and experiences of medical specialists in emergency medicine who have participated in the development of a mobile wireless monitoring system designed for real-time monitoring of victim vital parameters. Emergency medicine responders are first point of care for trauma victim providing prehospital care, including triage and treatment at the scene of incident and transport from the scene to the hospital. Continuous monitoring of life functions allows immediate detection of a deterioration in health status and helps out in carrying out principle of continuous e-triage. In this study, a mobile wireless monitoring system for measuring and recording the vital parameters of the patient was presented and evaluated. Based on the measured values, the system is able to make triage and assign treatment priority for the patient. The system also provides the opportunity to take a picture of the injury, mark the injured body parts, calculate Glasgow Coma Score, or insert/record the medication given to the patient. Evaluation of the system was made using the Technology Acceptance Model (TAM). In particular we measured: perceived usefulness, perceived ease of use, attitude, intention to use, patient status and environmental status. METHODS: A functional prototype of a developed wireless sensor-based system was installed at the emergency medical (EM) department, and presented to the participants of this study. Thirty participants, paramedics and doctors from the emergency department participated in the study. Two scenarios common for the prehospital emergency routines were considered for the evaluation. Participants were asked to answer the questions referred to these scenarios by rating each of the items on a 5-point Likert scale. RESULTS: Path coefficients between each measured variable were calculated. All coefficients were positive, but the statistically significant were only the following: patient status and perceive usefulness (ß = 0.284, t = 2.097), environment (both urban a nd rural) and perceive usefulness (ß = 0.247, t = 2.570; ß = 0.329, t = 2.083, respectively), and perceive usefulness and behavioral intention (ß = 0.621 t = 7.269). The variance of intention is 47.9%. CONCLUSIONS: The study results show that the proposed system is well accepted by the EM personnel and can be used as a complementary system in EM department for continuous monitoring of patients' vital signs.

Technology acceptance model & realidad aumentada: estudio en desarrollo

Introducción. Este artículo presenta el proyecto de investigación I+D, financiado por el Ministerio de Economía y Competitividad de España (EDU5746-P-Proyecto Rafodiun), para conocer el nivel de adopción de una tecnología o modelo TAM, formulado por Davies (1989). Se presentan las características del modelo, se formula uno para el análisis de la RA, así como el instrumento para su diagnóstico. Objetivo. Establecer el grado de motivación y nivel de satisfacción que despierta en los estudiantes universitarios el hecho de participar en experiencias formativas apoyadas en RA, e indagar sobre las dificultades técnicas, curriculares y organizativas que pudiera tener la RA para ser aplicada a los contextos de formación universitaria. Materiales y métodos. Se utilizó el Modelo de Aceptación de la Tecnología (TAM), formulado inicialmente por Davies(1989). Resultados. La investigación se llevó a cabo mediante estudios experimentales realizados con estudiantes de diferentes estudios universitarios, que interaccionen con diferentes objetos de aprendizaje producidos bajo la arquitectura de la RA, algunos de los cuales pueden observarse en el sitio web del RA del "Secretariado de Recursos Audiovisuales y Nuevas Tecnologías" de la Universidad de Sevilla (http://ra.sav.us.es/). Conclusiones. La RAes una tecnología que se está presentando como de verdadera utilidad y con diferentes posibilidades para facilitar el aprendizaje por parte de los estudiantes en diferentes áreas curriculares, pero sobre la que se debe reconocer que se están efectuando más análisis tecnológicos que investigaciones sobre su aplicación en el terreno educativo.

Introduction. This article introduces a R+D Project funded by Ministerio de Economía y Competitividad de España (EDU-5746-P-Proyecto Rafodiun) to get to know the degree of adoption of a TAM model or technology formulated by Davis (1989). The characteristics of the model are introduced and one is formulated for the RA analysis, along with the instrument for its diagnosis. Objective. Establish the motivation and satisfaction degrees the fact of participating in experiences supported by RAproduce among university students, and delve into the technical, curricular and organizational difficulties RA could have for being applied in university formation contexts. Materials and methods. The Technology Acceptance Model (TAM), initially formulated by Davis (1989) was used. Results. The research work was performed by means of experimental studies made with students from several university areas, who interact with different learning objects produced under RA´s architecture, some of which can be seen at RA´s website of "Secretariado de Recursos Audiovisuales y Nuevas Tecnologías", Universidad de Sevilla (http://ra.sav.us.es/). Conclusions. RA is a really useful technology, with several possibilities to make learning easier for students from different curricular areas, but it is also necessary to recognize that more technological analysis than research on its application in the education field are being made.

Introdução. Este artigo apresenta o projeto de investigação I+D, financiado pelo Ministério de Economia e Competitividade da Espanha (EDU5746-P-Projeto Rafodiun), para conhecer o nível de adoção de uma tecnologia ou modelo TAM, formulado por Davies (1989). Se apresentam as características do modelo, se formula um para a análise da RA, assim como o instrumento para seu diagnóstico. Objetivo. Estabelecer o grau de motivação e nível de satisfação que desperta nos estudantes universitários o fato de participar em experiências formativas apoiadas em RA, e indagar sobre as dificuldades técnicas, curriculares e organizativas que pudesse ter a RApara ser aplicada aos contextos de formação universitária. Materiais e métodos. Se utilizou o Modelo de Aceitação da Tecnologia (TAM), formulado inicialmente por Davies (1989). Resultados. A investigação se levou a cabo mediante estudos experimentais realizados com estudantes de diferentes estudos universitários, que interagem com diferentes objetos de aprendizagem produzidos sob a arquitetura da RA, alguns dos quais podem observar-se na página web do RA do "Secretariado de Recursos Audiovisuais e Novas Tecnologias" da Universidade de Sevilla (http://ra.sav.us.es/). Conclusões. A RA é uma tecnologia que se está apresentando como de verdadeira utilidade e com diferentes possibilidades para facilitar a aprendizagem por parte dos estudantes em diferentes áreas curriculares, mas sobre a que se deve reconhecer que se estão efetuando mais análise tecnológicos que investigações sobre sua aplicação no terreno educativo.