Generative AI in Education: Assessing Usability, Ethical Implications, and Communication Effectiveness DOI Creative Commons
María Matsiola, Georgios Lappas, Anastasia Yannacopoulou

и другие.

Societies, Год журнала: 2024, Номер 14(12), С. 267 - 267

Опубликована: Дек. 17, 2024

The rapid expansion of generative artificial intelligence tools for textual production, such as ChatGPT, has been accompanied by a proliferation similar used creating images, audiovisual content, and motion graphics. These tools, valued their creativity, are increasingly employed in the fields art, education, entertainment to enhance content creation, particularly on social media, while also reducing production costs. However, use is not without controversy, they raise significant ethical concerns, including potential generating fake news disinformation. This paper presents an analysis higher education students’ perspectives within context university course. research was conducted through semi-structured interviews with 10 fourth-year students from Department Communication Digital Media at University Western Macedonia. study aims provide initial understanding impact these both communication, focusing who future professionals communication field. explored benefits technologies, which were highly, challenges presented privacy credibility issues, concerned participants. Misinformation deception cited most risks, evaluated positively terms communicative purposes, but still maintaining skepticism.

Язык: Английский

Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study DOI Open Access
Malik Sallam,

Kholoud Al-Mahzoum,

Yousef Mubrik N. Almutairi

и другие.

Опубликована: Авг. 16, 2024

Despite the potential benefits of generative Artificial Intelligence (genAI), concerns about its psy-chological impact on medical students, especially with regard to job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed examine specific fears, anxieties, mistrust, and ethical students could harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 studying across various academic years, employing structured self-administered questionnaire an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, Ethics comprising 12 items, three items for each construct. The results indicated variable levels anxiety genAI among participating students: 34.1% reported no role their future careers (n = 56), while 41.5% slightly anxious 61), 22.0% somewhat 36), 2.4% extremely 4). Among constructs, Mistrust was most agreed upon (mean: 12.35±2.78), followed by construct 10.86±2.90), Fear 9.49±3.53), Anxiety 8.91±3.68). Sex, level, Grade Point Average (GPA) did not significantly affect students’ perceptions However, there notable direct association between general elevated scores constructs scale. Prior exposure previous use modify These findings highlighted critical need refined educational strategies address integration training. demonstrated pervasive anxiety, fear, regarding deployment healthcare, indicating necessity curriculum modifi-cations that focus specifically these areas. Interventions should be tailored increase familiarity competency, which would alleviate apprehension equip physicians engage this inevitable technology effectively. study also importance incorporating discussions into courses mistrust human-centered aspects Conclusively, calls proactive evolution education prepare AI-driven healthcare practices shortly ensure well-prepared, confident, ethically informed professional interactions technologies.

Язык: Английский

Процитировано

4
ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE DOI Creative Commons
Malik Sallam, Walid El‐Sayed, Muhammad Y. Al‐Shorbagy

и другие.

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Авг. 7, 2024

Background The use of ChatGPT among university students has gained a recent popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence (genAI) in United Arab Emirates (UAE). Methods This cross-sectional was based on previously validated Technology Acceptance Model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic academic variables, TAME-ChatGPT constructs’ roles conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% whom heard while 85.4% used before study. Univariate analysis indicated that positive associated with three constructs namely, lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average (GPA) well four usefulness, risks use, behavior/cognitive construct ease-of-use construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusion findings is commonplace UAE. determinants included cognitive behavioral factors, ease determined These should be considered understanding motivators successful adoption genAI including education.

Язык: Английский

Процитировано

4
Factors Impacting the Adoption and Acceptance of ChatGPT in Educational Settings: A Narrative Review of Empirical Studies DOI Creative Commons
Mousa Al-kfairy

Applied System Innovation, Год журнала: 2024, Номер 7(6), С. 110 - 110

Опубликована: Ноя. 7, 2024

This narrative review synthesizes and analyzes empirical studies on the adoption acceptance of ChatGPT in higher education, addressing need to understand key factors influencing its use by students educators. Anchored theoretical frameworks such as Technology Acceptance Model (TAM), Unified Theory Use (UTAUT), Diffusion Innovation (DoI) Theory, Technology–Organization–Environment (TOE) model, Planned Behavior, this highlights central constructs shaping behavior. The confirmed include hedonic motivation, usability, perceived benefits, system responsiveness, relative advantage, whereas effects social influence, facilitating conditions, privacy, security vary. Conversely, technology readiness extrinsic motivation remain unconfirmed consistent predictors. study employs a qualitative synthesis 40 peer-reviewed studies, applying thematic analysis uncover patterns driving adoption. findings reveal that, while traditional models offer valuable insights, deeper exploration contextual psychological is necessary. study’s implications inform future research directions institutional strategies for integrating AI support educational innovation.

Язык: Английский

Процитировано

4
Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study DOI Creative Commons
Malik Sallam,

Kholoud Al-Mahzoum,

Yousef Almutairi

и другие.

International Medical Education, Год журнала: 2024, Номер 3(4), С. 406 - 425

Опубликована: Окт. 9, 2024

Despite the potential benefits of generative artificial intelligence (genAI), concerns about its psychological impact on medical students, especially job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed to examine specific fears, anxieties, mistrust, and ethical students harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 studying across various academic years, employing structured self-administered questionnaire with an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, Ethics—comprising 12 items, 3 items for each construct. Exploratory confirmatory factors analyses assess construct validity scale. The results indicated variable levels anxiety genAI among participating students: 34.1% reported no genAI‘s role their future careers (n = 56), while 41.5% slightly anxious 61), 22.0% somewhat 36), 2.4% extremely 4). Among constructs, Mistrust was most agreed upon (mean: 12.35 ± 2.78), followed by Ethics 10.86 2.90), Fear 9.49 3.53), Anxiety 8.91 3.68). Their sex, level, Grade Point Average (GPA) did not significantly affect students’ perceptions However, there notable direct association between general elevated scores constructs Prior exposure previous use modify These findings highlight critical need refined educational strategies address integration into training. demonstrate anxiety, fear, regarding deployment healthcare, indicating necessity curriculum modifications that focus specifically these areas. Interventions should be tailored increase familiarity competency genAI, which would alleviate apprehensions equip physicians engage this inevitable technology effectively. study also highlights importance incorporating discussions courses mistrust human-centered aspects In conclusion, calls proactive evolution education prepare new AI-driven healthcare practices ensure well prepared, confident, ethically informed professional interactions technologies.

Язык: Английский

Процитировано

2
Generative AI in Education: Assessing Usability, Ethical Implications, and Communication Effectiveness DOI Creative Commons
María Matsiola, Georgios Lappas, Anastasia Yannacopoulou

и другие.

Societies, Год журнала: 2024, Номер 14(12), С. 267 - 267

Опубликована: Дек. 17, 2024

The rapid expansion of generative artificial intelligence tools for textual production, such as ChatGPT, has been accompanied by a proliferation similar used creating images, audiovisual content, and motion graphics. These tools, valued their creativity, are increasingly employed in the fields art, education, entertainment to enhance content creation, particularly on social media, while also reducing production costs. However, use is not without controversy, they raise significant ethical concerns, including potential generating fake news disinformation. This paper presents an analysis higher education students’ perspectives within context university course. research was conducted through semi-structured interviews with 10 fourth-year students from Department Communication Digital Media at University Western Macedonia. study aims provide initial understanding impact these both communication, focusing who future professionals communication field. explored benefits technologies, which were highly, challenges presented privacy credibility issues, concerned participants. Misinformation deception cited most risks, evaluated positively terms communicative purposes, but still maintaining skepticism.

Язык: Английский

Процитировано

0