Analysis of college students' attitudes toward the use of ChatGPT in their academic activities: effect of intent to use, verification of information and responsible use.

BACKGROUND: In recent years, the use of artificial intelligence (AI) in education has increased worldwide. The launch of the ChatGPT-3 posed great challenges for higher education, given its popularity among university students. The present study aimed to analyze the attitudes of university students toward the use of ChatGPTs in their academic activities. METHOD: This study was oriented toward a quantitative approach and had a nonexperimental design. An online survey was administered to the 499 participants. RESULTS: The findings of this study revealed a significant association between various factors and attitudes toward the use of the ChatGPT. The higher beta coefficients for responsible use (ß=0.806***), the intention to use frequently (ß=0.509***), and acceptance (ß=0.441***) suggested that these are the strongest predictors of a positive attitude toward ChatGPT. The presence of positive emotions (ß=0.418***) also plays a significant role. Conversely, risk (ß=-0.104**) and boredom (ß=-0.145**) demonstrate a negative yet less decisive influence. These results provide an enhanced understanding of how students perceive and utilize ChatGPTs, supporting a unified theory of user behavior in educational technology contexts. CONCLUSION: Ease of use, intention to use frequently, acceptance, and intention to verify information influenced the behavioral intention to use ChatGPT responsibly. On the one hand, this study provides suggestions for HEIs to improve their educational curricula to take advantage of the potential benefits of AI and contribute to AI literacy.

Examining the impact of interventions in reducing self-reported engagement in distracted driving: A systematic review.

Despite the implementation of legal countermeasures, distracted driving remains a prevalent concern for road safety. This systematic review (following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines) summarised the literature on the impact of interventions targeting attitudes/intentions towards, and self-reported engagement in, distracted driving. Studies were eligible for this review if they examined self-reported behaviour/attitudes/intentions pertaining to distracted driving at baseline and post-intervention. Databases searched included PubMed, ProQuest, Scopus, and TRID. The review identified 19 articles/interventions, which were categorised into three intervention types. First, all program-based interventions (n = 6) reduced engagement in distracted driving. However, there were notable limitations to these studies, including a lack of control groups and difficulties implementing this intervention in a real-world setting. Second, active interventions (n = 9) were commonly utilised, yet a number of studies did not find any improvements in outcomes. Finally, four studies used a message-based intervention, with three studies reporting reduced intention and/or engagement in distracted driving. There is opportunity for message-based interventions to be communicated effortlessly online and target high-risk driving populations. However, further research is necessary to address limitations highlighted in the review, including follow-up testing and control groups. Implications are discussed with particular emphasis on areas where further research is needed.

Breaking the plastic habit: Drivers of single-use plastic reduction among Thai university students.

This study investigated the decision-making dynamics for pro-environmental behavior among Thai university students, focusing on reducing the consumption of single-use plastics (SUP). By adopting a dynamic approach to the Theory of Planned Behavior (TPB), the research examined the influence of psychosocial factors, including attitudes, perceived behavioral control, and subjective norms, on SUP reduction intention at different phases of behavior change. Using structural equation modelling, we analyzed quantitative data (n = 317) from the selected universities. The results revealed that attitudes predicted behavioral intentions only among individuals in the contemplation phase of reducing SUP. Attitudes had a small but limited influence on the behavioral intentions of students who had not yet acted. Perceived behavioral control, on the other hand, significantly impacted behavioral intentions across all phases of behavior change, highlighting its importance in SUP reduction. The study also confirmed subjective norms' positive influence on students' behavioral intentions in the pre-contemplation phase. Practical implications suggested segmenting residents based on their behavior change phase so that public policymakers can allocate resources more efficiently and effectively by tailoring campaigns to specific behavior change phases, ultimately promoting sustainable behavior among university students.

What polarizes citizens? An explorative analysis of 817 attitudinal items from a non-random online panel in Germany.

Various studies point to the lack of evidence of distributive opinion polarization in Europe. As most studies analyse the same item batteries from international social surveys, this lack of polarization might be due to an item's issue (e.g., the nature or substance of an item) or item formulation characteristics used to measure polarization. Based on a unique sample of 817 political attitudinal items asked in 2022 by respondents of a non-random online panel in Germany, we empirically assess the item characteristics most likely to lead to distributive opinion polarization-measured with the Van der Eijk agreement index. Our results show that only 20% of the items in our sample have some-at most moderate-level of opinion polarization. Moreover, an item's salience in the news media before the survey data collection, whether an item measures attitudes toward individual financial and non-financial costs, and the implicit level of knowledge required to answer an item (level of technicality) are significantly associated with higher opinion polarization. By contrast, items measuring a cultural issue (such as issues on gender, LGTBQI+, and ethnic minorities) and items with a high level of abstraction are significantly associated with a lower level of polarization. Our study highlights the importance of reflecting on the potential influence of an item's issue and item formulation characteristics on the empirical assessment of distributive opinion polarization.

Between Technological Utopia and Dystopia: Online Expression of Compulsory Use of Surveillance Technology.

This study investigated people's ethical concerns of surveillance technology. By adopting the spectrum of technological utopian and dystopian narratives, how people perceive a society constructed through the compulsory use of surveillance technology was explored. This study empirically examined the anonymous online expression of attitudes toward the society-wide, compulsory adoption of a contact tracing app that affected almost every aspect of all people's everyday lives at a societal level. By applying the structural topic modeling approach to analyze comments on four Hong Kong anonymous discussion forums, topics concerning the technological utopian, dystopian, and pragmatic views on the surveillance app were discovered. The findings showed that people with a technological utopian view on this app believed that the implementation of compulsory app use can facilitate social good and maintain social order. In contrast, individuals who had a technological dystopian view expressed privacy concerns and distrust of this surveillance technology. Techno-pragmatists took a balanced approach and evaluated its implementation practically.

The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling.

ChatGPT has demonstrated impressive abilities and impacted various aspects of human society since its creation, gaining widespread attention from different social spheres. This study aims to comprehensively assess public perception of ChatGPT on Reddit. The dataset was collected via Reddit, a social media platform, and includes 23,733 posts and comments related to ChatGPT. Firstly, to examine public attitudes, this study conducts content analysis utilizing topic modeling with the Latent Dirichlet Allocation (LDA) algorithm to extract pertinent topics. Furthermore, sentiment analysis categorizes user posts and comments as positive, negative, or neutral using Textblob and Vader in natural language processing. The result of topic modeling shows that seven topics regarding ChatGPT are identified, which can be grouped into three themes: user perception, technical methods, and impacts on society. Results from the sentiment analysis show that 61.6% of the posts and comments hold favorable opinions on ChatGPT. They emphasize ChatGPT's ability to prompt and engage in natural conversations with users, without relying on complex natural language processing. It provides suggestions for ChatGPT developers to enhance its usability design and functionality. Meanwhile, stakeholders, including users, should comprehend the advantages and disadvantages of ChatGPT in human society to promote ethical and regulated implementation of the system.

Adolescents' attitudes, habits, identity and social support in relation to physical activity after the COVID-19 pandemic.

This study focuses on adolescents' cognitive processes, behaviors and social support (SS) as they relate to physical activity (PA) before and after the pandemic. The aims of the study were: (1) to investigate the changes in adolescents' engagement in moderate and vigorous physical activity (MVPA), and examine the changes in PA-related attitudes and behaviors before and after the COVID-19 pandemic; (2) to analyze the correlations between the significant changes that were found, PA engagement, and SS. The survey targeted third-year middle school students of Italian nationality, attending male and female mixed classes, residents in urban, periphery and sub-urban areas, living in families with different incomes, and different habits of engaging in PA. A longitudinal study was developed using a standardized questionnaire. The questionnaire was administered in April-May 2023 to a sample of 952 students aged 11/14 residing in the Marche region in Central Italy. Increasing values were found in the post-COVID-19 phase for all the cognitive processes and attitudes, in particular, those regarding habits (0.66 vs 0.50, + 32%) and identity (0.70 vs 0.55, + 27%) related to PA. Significant correlations were found between these values and VPA engagement and between the values of the same indicators and SS (p < 0.01). The strongest relationship was found with the dimension of identity (r = 0.51; r = 054).

Measuring political radicalism and extremism in surveys: Three new scales.

This paper introduces three new scales to measure left- and right-wing radical as well as general extremist attitudes that can be applied across Western European countries. We therefore propose a thorough conceptualization of extremist attitudes that consists of two dimensions: general extremism, by which we understand attitudes that oppose the constitutional democratic state, and another dimension that differentiates between right- and left-wing radicalism by which we understand people who take far-reaching but often one-sided positions on political issues (e.g., on nationalism or anti-imperialism) by advocating fundamental socio-political change. Based on data from Germany, Great Britain, and the Netherlands (n = 6,201) we created short indices for general extremism and left- and right-wing radicalism. We check for convergence validity by assessing the psychometric properties of the extracted indices, i.e. their internal coherence and the degree to which a scale is able to distinguish strongly extremist and non-extremist individuals. Finally, we correlate the scales with various constructs that are likely related to extremist attitudes in order to assure external or construct validity. The results indicate that the three scales are highly valid and applicable across three Western European countries. Overall, we find that about two to four percent of citizens in each country hold left-wing or right-wing extremist attitudes.

Environmental attitude and affective-motivational beliefs towards sustainability of secondary school children in Germany and their associations with gender, age, school type, socio-economic status and time spent in nature.

There are warnings that human actions will lead to irreversible environmental damage if they continue at their current pace and scale. With regard to individual aspects, a pro-environmental attitude and positive affective-motivational beliefs towards sustainability represent fundamentals for a more sustainable future. However, there is little data regarding these constructs and relevant explanatory factors, especially with regard to young people. We examined environmental attitude (two-dimensional: utilization and preservation) and affective-motivational beliefs towards sustainability with regard to gender, age, socio-economic status, school type and time spent in nature in 484 adolescents (11-14 years) living in German cities by means of univariate and multiple regression analyses. Mean values were high in preservation and affective-motivational beliefs towards sustainability, and relatively low in utilization. Female adolescents had higher values compared to male students in affective-motivational beliefs towards sustainability. Age did not play a substantial role. Although being strongly correlated with each other, school type and socio-economic status each exhibited positive associations to environmental attitude and affective-motivational beliefs towards sustainability. Furthermore, multiple regression analyses identified time spent in nature as a significant predictor of incremental value, suggesting a tentative recommendation to spend at least half an hour per week in nature in order to promote positive attitudes towards the environment and sustainability. In sum, special needs for topic-related education seem to exist for male students, students with lower formal level of education, students with a lower socio-economic status and students who spend little time in nature.

Psychological effects of anti-Arab politics on American and Arab peoples' views of each other.

Disparaging rhetoric about Arab people was prevalent during Donald Trump's political rise in the United States. Although this rhetoric was intended to energize conservative Americans, it also echoed throughout many liberal parts of the United States and around the world. In this research, we experimentally examined the effects of such rhetoric on American and Arab people's attitudes and visual representations of each other before and after Trump was elected. Although people overwhelmingly reported not liking the negative rhetoric, the rhetoric alone did not influence explicit and implicit intergroup biases in either location, as measured by feeling thermometers and Implicit Association Tests. However, the election outcome moderated the way rhetoric influenced how American and Arab people visually represented each other. Our research sheds light on nuanced effects of global politics on various information processing stages within intergroup perception.

The effects of Facebook and Instagram on the 2020 election: A deactivation experiment.

We study the effect of Facebook and Instagram access on political beliefs, attitudes, and behavior by randomizing a subset of 19,857 Facebook users and 15,585 Instagram users to deactivate their accounts for 6 wk before the 2020 U.S. election. We report four key findings. First, both Facebook and Instagram deactivation reduced an index of political participation (driven mainly by reduced participation online). Second, Facebook deactivation had no significant effect on an index of knowledge, but secondary analyses suggest that it reduced knowledge of general news while possibly also decreasing belief in misinformation circulating online. Third, Facebook deactivation may have reduced self-reported net votes for Trump, though this effect does not meet our preregistered significance threshold. Finally, the effects of both Facebook and Instagram deactivation on affective and issue polarization, perceived legitimacy of the election, candidate favorability, and voter turnout were all precisely estimated and close to zero.

The politics of allyship: Multiethnic coalitions and mass attitudes toward protest.

Recent work finds that nonviolent resistance by ethnic minorities is perceived as more violent and requiring more policing than identical resistance by ethnic majorities, reducing its impact and effectiveness. We ask whether allies-advantaged group participants in disadvantaged group movements-can mitigate these barriers. On the one hand, allies can counter negative stereotypes and defuse threat perceptions among advantaged group members, while raising expectations of success and lowering expected risks among disadvantaged group members. On the other hand, allies can entail significant costs, carrying risks of cooptation, replication of power hierarchies, and marginalization of core constituencies. To shed light on this question we draw on the case of the Black Lives Matter (BLM) movement, which, in 2020, attracted unprecedented White participation. Employing a national survey experiment, we find that sizeable White presence at racial justice protests increases protest approval, reduces perceptions of violence, and raises the likelihood of participation among White audiences, while not causing significant backlash among Black audiences. Black respondents mostly see White presence as useful for advancing the movement's goals, and predominant White presence reduces expectations that protests will be forcefully repressed. We complement these results with analysis of tens of thousands of images shared on social media during the 2020 BLM protests, finding a significant association between the presence of Whites in the images and user engagement and amplification. The findings suggest that allyship can be a powerful tool for promoting sociopolitical change amid deep structural inequality.

Assessing the impact of an integrated educational program on Greek students' knowledge about coastal lagoons and attitudes towards marine environment conservation.

The primary objective of this study is to contribute to the conservation and sustainable use of seas by promoting Ocean Literacy. It investigates the impact of an educational program on Greek primary and secondary public school students' knowledge about coastal lagoons and attitudes towards marine environment conservation. An educational resource titled "Exploring the Coastal Lagoons" was developed to facilitate the non-formal educational intervention. The program involved classroom, fieldwork/outdoor and laboratory activities, focusing on enhancing understanding of coastal lagoons' abiotic and biotic characteristics and human interconnection. Results showed improved knowledge and slightly more positive attitudes after the didactic intervention. The study underlines the effectiveness of targeted educational interventions in marine sciences, suggesting that non-formal educational settings influence student outcomes more than family or informal sources. Younger students appeared more adaptable and responsive to educational stimuli. The study advocates for refined educational strategies integrating cognitive and emotional elements, emphasizing real nature experience.

Influencing factors of health screening among retirees: an extended TPB approach.

Background: Health screenings are promoted worldwide as they help detect and prevent overall health issues. Despite expanding coverage, the participation rate among the retired population has not significantly increased. Given the special role of health screenings in promoting health and healthy aging, understanding the behavioral intentions, and influencing factors of retirees' voluntary participation in health screenings is crucial. This study aims to explore the participation intentions in health screenings among the Chinese retired population by integrating the Theory of Planned Behavior (TPB) and Self-Efficacy (SE). Methods: This study used a cross-sectional design to conduct an online questionnaire among 311 retirees in 2023. The questionnaire, tailored for the Chinese retired population, combines the TPB theory and Self-Efficacy theory, including demographic structure, the basic structure of TPB, and SE. Results: A Structural Equation Modeling (SEM) approach was used to identify factors related to health screening behaviors. Of the respondents, 311 completed the survey (88.9% response rate). The most crucial determinant of health examination behavior was behavioral intention, with a correlation score of (1.524, p < 0.001). Significant correlates of behavioral intention included Subjective Norms (SN) and Self-Efficacy (SE), followed by Perceived Behavioral Control (PBC) and Attitude (AT), with correlation scores of (0.401, p < 0.001), (0.339, p < 0.001), (0.082, p < 0.001), and (0.060, p < 0.05), respectively. Conclusion: This study provides insights for enhancing the willingness and behavior of retirees to participate in health screenings.

Towards Gender Harmony Dataset: Gender Beliefs and Gender Stereotypes in 62 Countries.

The Towards Gender Harmony (TGH) project began in September 2018 with over 160 scholars who formed an international consortium to collect data from 62 countries across six continents. Our overarching goal was to analyze contemporary perceptions of masculinity and femininity using quantitative and qualitative methods, marking a groundbreaking effort in social science research. The data collection took place between January 2018 and February 2020, and involved undergraduate students who completed a series of randomized scales and the data was collected through the SurveyMonkey or Qualtrics platforms, with paper surveys being used in rare cases. All the measures used in the project were translated into 22 languages. The dataset contains 33,313 observations and 286 variables, including contemporary measures of gendered self-views, attitudes, and stereotypes, as well as relevant demographic data. The TGH dataset, linked with accessible country-level data, provides valuable insights into the dynamics of gender relations worldwide, allowing for multilevel analyses and examination of how gendered self-views and attitudes are linked to behavioral intentions and demographic variables.

Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence.

BACKGROUND: Increasing patient loads, healthcare inflation and ageing population have put pressure on the healthcare system. Artificial intelligence and machine learning innovations can aid in task shifting to help healthcare systems remain efficient and cost effective. To gain an understanding of patients' acceptance toward such task shifting with the aid of AI, this study adapted the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), looking at performance and effort expectancy, facilitating conditions, social influence, hedonic motivation and behavioural intention. METHODS: This was a cross-sectional study which took place between September 2021 to June 2022 at the National Heart Centre, Singapore. One hundred patients, aged ≥ 21 years with at least one heart failure symptom (pedal oedema, New York Heart Association II-III effort limitation, orthopnoea, breathlessness), who presented to the cardiac imaging laboratory for physician-ordered clinical echocardiogram, underwent both echocardiogram by skilled sonographers and the experience of echocardiogram by a novice guided by AI technologies. They were then given a survey which looked at the above-mentioned constructs using the UTAUT2 framework. RESULTS: Significant, direct, and positive effects of all constructs on the behavioral intention of accepting the AI-novice combination were found. Facilitating conditions, hedonic motivation and performance expectancy were the top 3 constructs. The analysis of the moderating variables, age, gender and education levels, found no impact on behavioral intention. CONCLUSIONS: These results are important for stakeholders and changemakers such as policymakers, governments, physicians, and insurance companies, as they design adoption strategies to ensure successful patient engagement by focusing on factors affecting the facilitating conditions, hedonic motivation and performance expectancy for AI technologies used in healthcare task shifting.

Few LGBTQ+ Science and Engineering Instructors Come Out to Students, Despite Potential Benefits.

LGBTQ+ undergraduates have higher attrition from science and engineering (S&E) than straight and cisgender undergraduates and perceive that having LGBTQ+ instructors would benefit them. However, it is unknown how many S&E instructors are LGBTQ+, the extent to which they disclose this information to students, and how disclosure affects all students, both LGBTQ+ and non-LGBTQ+. In study I, we surveyed 108 LGBTQ+ S&E instructors across the U.S. to explore the extent to which they reveal their LGBTQ+ identities across professional contexts and why they reveal or conceal their identities to undergraduates. Overall, 75% of instructors came out to at least some colleagues but only 48% came out to any undergraduates. Instructors most commonly chose to conceal LGBTQ+ identities from undergraduates because they perceived their identities to be irrelevant to course content and anticipated negative student reactions. In study II, 666 introductory biology undergraduates were randomly assigned to evaluate one of two identical teaching demonstration videos except the instructor revealed her LGBTQ+ identity in one but not the other. We assessed differences in students' impressions of the instructor across conditions. We found no differences in most ratings of the instructor except participants reported higher rapport with the instructor when she came out.

What Makes a Good Match? Predictors of Quality Mentorship Among Doctoral Students.

Quality mentoring promotes graduate student success. Despite an abundance of practical advice, empirical evidence regarding how to match mentees and mentors to form quality mentoring relationships is lacking. Here, we examine the influence of variables theorized to predict mentorship support and quality in a national sample of 565 science doctoral students from 70 universities in 38 states. Our structural equation modeling results indicate that mentor rank, mentee capital, and the relationship matching mechanism (direct admissions, rotations) were not associated with higher-quality relationships. We found no support for the widely held belief that students whose mentors shared their gender, race, or ethnicity experienced greater mentorship quality. Rather, mentees who shared attitudes, beliefs, and values with their mentor, or whose mentors displayed greater cultural awareness experienced more supportive, higher quality mentoring. Furthermore, these patterns were largely consistent across both mentee and mentor demographic groups. These results highlight the potential benefits of pairing mentees and mentors who share personal and intrinsic qualities rather than demographic or surface-level attributes. Our findings also indicate that graduate students from marginalized backgrounds can be effectively mentored by faculty who are demographically dissimilar if their mentors engage in culturally aware mentorship.

Explaining citizens' plastic reduction behavior with an extended theory of planned behavior model: An empirical study in Switzerland.

The growing volume of plastic waste resulting from human activities is suffocating our planet. To combat this escalating issue, this study delves into the formation of plastic reduction behavior among Swiss citizens using an extended theory of planned behavior model. Through an online survey, the study obtained 149 valid responses, which were analyzed using partial least squares-based structural equation modeling. The results indicate a significant and strong relationship between plastic risk perception and attitudes towards plastic reduction and environmental protection. Notably, the cognitive dimension (ß = 0.802, p = 0.000) of plastic risk perception exhibits a tighter and stronger association with attitude compared to the emotional dimension (ß = 0.406, p = 0.000). Among the three variables in the theory of planned behavior model, perceived behavioral control (ß = 0.384, p = 0.000) emerges as the strongest determinant of behavioral willingness for plastic reduction. It is followed by attitude (ß = 0.214, p = 0.030). However, no significant relationship is observed between subjective norm and behavioral willingness for plastic reduction (ß = 0.07, p = 0.292). Finally, attitude fully mediates the relationship between plastic risk perception and behavioral willingness for plastic reduction. Theoretical and managerial implications are discussed.