Computers in human behavior reports最新文献

Traditional educational settings often struggle to engage students and cater to their individual needs when cultivating analytical thinking skills. This study addresses this challenge by exploring the potential of animated cartoons to enhance analytical thinking among elementary students. The research aims were to develop an animated cartoon format that encourages analytical thinking, evaluate its effectiveness, and investigate students' application of analytical thinking. Using cluster sampling, 2258 students were selected from 44 randomly chosen schools in Thailand's Mekong River Basin. The study employed a mixed-methods approach, utilizing document analysis, format suitability assessment, and an analytical thinking skills rubric. Data analysis involved qualitative summaries, descriptive statistics, and comparisons of pre- and post-intervention assessments. The findings revealed that the developed 3D animated series “Tang Na's Analysis" significantly improved students' analytical thinking skills, with high format suitability and good quality analytical thinking post-intervention. This study highlights the potential of animated instructional media to stimulate higher-order cognitive functions and make complex concepts accessible, contributing to the integration of engaging technological tools in education to nurture essential thinking skills.

In the rapidly evolving landscape of digital competencies, the need for a robust and universal method to assess students’ algorithmic thinking (AT) skills has become increasingly pronounced. Algorithmic thinking refers to the ability to analyse a problem and develop a step-by-step process to solve it.

This research investigates the efficacy of the Cross Array Task (CAT) as an assessment tool for AT skills within Switzerland’s compulsory education system. Originally conceptualised as an unplugged activity, where students performed the task without digital technologies (e.g., by using gestures on paper) and an administrator manually assessed them, the CAT evolved into a digital activity that runs on an iPad. The CAT’s digital transformation has automated the scoring of student responses and data collection, streamlining the assessment processes and facilitating efficient large-scale assessments. It has also enhanced scalability, making the CAT suitable for widespread use in educational settings. Furthermore, it provides immediate feedback to students and educators, supporting timely interventions and personalised learning experiences.

Our study aims to comprehensively investigate algorithmic competencies in compulsory education, examining their variations and influencing factors. This research examines key variables, such as age, sex, educational environment and school characteristics (e.g., the level and grade of education), and regional factors (e.g., the canton of the school) in Switzerland, and characteristics related to the specific assessment tool, including the type of artefact used, the complexity of the algorithms generated, and the level of autonomy. Additionally, it seeks to analyse the effectiveness of the unplugged and digital approaches in assessing AT skills, specifically comparing the unplugged and virtual CAT versions, aiming to provide insights into their advantages and potential synergies.

This investigation delineates the developmental progression of AT skills across compulsory education, emphasising the influence of age on algorithm development and problem-solving strategies. Furthermore, we reveal the impact of artefacts and the potential of digital tools to facilitate advanced AT skill development across diverse age groups. Finally, our investigation delves into the influence of school environments and sex disparities on AT performance, alongside the significant individual variability influenced by personal abilities and external circumstances.

These findings underscore the importance of tailored educational interventions and equitable practices to accommodate diverse learning profiles and optimise student outcomes in AT across educational settings.

Purpose

This study explores the factors influencing the adoption and acceptance of Metaverse technologies in educational settings. Despite the growing interest in immersive educational environments provided by the Metaverse, there is a lack of comprehensive understanding regarding the elements that affect user engagement and acceptance. This paper aims to bridge this gap through a systematic review of empirical studies that apply Information Systems theories such as TAM, UTAUT, TPB, and their extensions.

Methods

A total of 35 empirical studies were analyzed using a methodical review approach. The research methodologies employed in these studies include surveys, structural equation modeling, and interviews, providing a broad spectrum of data on how different factors influence educational outcomes in the Metaverse.

Results

The findings reveal that user adoption of the Metaverse in educational contexts is influenced by multiple factors at individual, technological, and environmental levels. Key factors identified include effort expectancy, behavioral intention, self-efficacy, enjoyment, and immersion. These factors are subject to moderating effects, suggesting that the dynamics of Metaverse adoption are highly context-dependent.

Conclusion

The insights gained from this review provide valuable guidelines for educators, policymakers, and technology developers aiming to effectively integrate Metaverse technologies into educational frameworks. The study also outlines limitations and suggests directions for future research, highlighting the need for further investigations into the longitudinal impacts and cultural adaptability of Metaverse applications in education.

This study investigates the dynamics between social media engagement and well-being, employing a multi-dimensional analysis encompassing psychological, behavioral, social media usage patterns, and physiological perspectives. Through the utilization of electrodermal activity, our study identified a statistically significant increase following exposure to a negative comment. In addition, analysis of facial expressions revealed a variety of reactions, including laughter, irritation, sadness, and neutrality, once participants were confronted with the negative comment. Our analysis revealed intriguing insights into the relationship between personality traits and social media interactions. We observed that individuals with higher agreeableness were more likely to contemplate deactivating social media platforms. Conversely, lower levels of neuroticism were associated with self-reported social media addiction, while extraversion showed a positive correlation with increased posting frequency. These findings highlight the intricate relationship between individual personality traits and reactions to negative social media experiences, offering valuable insights into the complex dynamics of online interactions and their effects on overall well-being.

The teaching profession has always been recognized as one that requires a greater vocational calling. However, education professionals have had to adapt to and manage phenomenons which have arisen due to more demanding work contexts that require them to participate in work, even when they are ill (presenteeism), and to a global-wide digital transformation. Such phenomenons include cyberbullying, which has proliferated in school environments. It is crucial to understand the impact this type of phenomenon can have on these professionals. Accordingly, the main objective of this study was to identify the needs felt by teachers to deal effectively with incidents of cyberbullying and its potential impact on and reduce presenteeism. Two studies were developed, with the intention that the hypotheses posed by the quantitative study could be enriched with the inferences drawn from the qualitative study. A sample of 542 middle school teachers responded to questionnaires and 63 participated in interviews. The results showed that teachers’ professional calling led to a lower loss of productivity, due to a lower frequency of presenteeism. This effect was more pronounced in the presence of cyberbullying observation. This study provides a contribution to the calling and presenteeism literature since it focuses on the impact of observing cyberbullying on sickness presence. It is relevant because by knowing the demands that teachers feel and the resources they lack, it is possible to implement tailored intervention and prevention programs to help professionals deal with cyberbullying.

This study investigates the factors influencing the adoption of digital learning platforms among university students in Cambodia, integrating multiple theoretical frameworks: the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Self-Determination Theory (SDT). Conducting a cross-sectional survey with 369 students from various institutions, this study employed partial least squares structural equation modelling (PLS-SEM) to analyze the data. The findings revealed significant connections among motivational factors, perceived ease of use, usefulness, and subsequent adoption behaviours. This study contributes significantly to the global discourse on digital education, particularly from the perspective of a developing country, at a pivotal point in its educational evolution in the digital age. This highlights the importance of enhancing intrinsic and extrinsic motivations among students to improve the adoption and effective use of digital learning resources, offering practical recommendations for educational stakeholders in Cambodia and similar contexts.

Social interactions abound in everyday life. Face-to-face interactions, in particular, catalyze the social connection necessary for psychological well-being. What happens, then, when a global pandemic disrupts normal patterns of socialization? In March 2020, the world uploaded much of its face-to-face interactions online, transitioning en masse to remote work. These circumstances provided a natural experiment for studying how virtual versus face-to-face interactions facilitate psychosocial well-being. We conducted two studies measuring how eight types of interactions related to people's positive affect and social connection. Study 1 tracked virtual interactions and well-being (n = 996) in three waves from May 2020–2021. Study 2 measured participants' (n = 249) virtual interactions and well-being three times daily for two weeks. Both studies indicate that voice calling, group calling, and online messaging are associated with increased social connection and positive affect in the short- and long-term. However, the benefits of face-to-face interactions consistently eclipsed those of all virtual surrogates under investigation.

The article explores the mechanisms affecting people's perceived ability to influence the uneven power relationships between them and data-driven companies that collect, store, analyze, and use their data and information. I first present a study in which participants were asked to use innovative privacy enhancing technology, enabling them to claim a form of ownership over their personal data and information. This study shows that new socio-technical developments can reduce the uneven balance of power between individuals who disclose personal data and information and the companies which collect, store, and deploy that information. Based on these findings, I point to modes of operation and regulation that could assist data subjects in gaining more control over the relationships between them and companies. The article concludes with suggestions of ethical measures that may aid individuals to influence the ‘give and take’ relationship with data-driven companies.

Individuals with social anxiety have been shown to prefer communicating through online platforms. Part of this preference may be accounted for by their self-perceived level of social skill ability in online modalities. However, it is unclear whether perceived social skill abilities change across in-person and online contexts. Therefore, this study investigated whether specific social skills, like sociability, assertiveness, self-disclosure, and non-verbal emotion recognition vary across online and face-to-face settings. We first validated the Real and Electronic Communications Skills (RECS) questionnaire using a confirmatory factor analysis in a sample of 780 participants, who completed the survey through Qualtrics. We then conducted a series of correlations and a doubly multivariate GLM to evaluate whether perceived social skills abilities are influenced by communication medium and social anxiety. Our results indicated that we were able to validate the RECS, and that specific social skills like sociability and assertiveness are influenced by communication medium. Specifically, higher social anxiety scores were associated with decreased in-person sociability, emotion recognition, and assertiveness. The results highlight a potential perceived barrier to approaching in-person interactions, which may exacerbate avoidance of social interaction, thus resulting in social isolation and loneliness.

Much research on collaborative learning focuses on working together on tasks that are designed with collaboration in mind. However, teachers may ask children to collaborate on single player tasks as well, given a scarcity of available computers in the classroom or assuming that children can learn from each other and motivate each other. In the current study, we studied the conversations of primary school children (N = 64; 39 girls, 25 boys) working together in dyads in an adaptive single-player math learning environment (Math Garden). We aimed to investigate (1) how dyads collaborate across two math tasks aimed at practicing different math skills (arithmetic vs. reasoning skills) embedded within Math Garden and (2) whether collaborative activities differed across the two math tasks. We studied both individual utterances as well as episodes of social metacognitive interactions between the dyad members. We found that children engaged in activities important for successful collaboration, such as relational and metacognitive activities. Moreover, we identified social metacognitive episodes, meaning that children regulated their groups’ learning and that the regulatory processes which took part within the collaborative learning session cannot be reduced to individual activities. We conclude that children engage in collaborative activities when working together on single player tasks. And, in line with previous research, these collaborative activities differed across games, highlighting that collaborative learning is shaped by the task at hand.