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Artificial intelligence (AI) and AI-based chatbots, such as ChatGPT, are transforming the approach to education. In particular, ChatGPT's potential to process large amounts of data and learn from user interactions makes it a beneficial resource for students, albeit with some reluctance from some teachers. This study aimed to explore the acceptance of ChatGPT by university students. The researchers administered an online survey to 400 Spanish university students aged 18-64 (M = 21.80; SD = 6.40). The results of the methodological approach based on the UTAUT2 model for technology adoption showed that: (1) gender was not a determining variable in any construct while the experience of use was a factor conditioning a higher score on all constructs; (2) experience, performance expectancy, hedonic motivation, price value, and habit were influential in behavioral intention to use ChatGPT; (3) facilitating conditions, habit, and behavioral intention were conditioning factors in user behavior. Finally, this report discusses the findings and practical implications of the work and recommends some good uses for ChatGPT.

The irruption of information and communication technologies has brought about an abrupt change in the demands placed on future professionals. In this sense, in recent years, information competencies have gained importance in university education from a cross-cutting perspective, which advocates as its main purpose the training of young people in information search, evaluation, processing and communication skills, especially through a digital network. Based on this idea, the present work aims to develop the Information Competence Scale for Future Teachers (ICS-FT), in order to measure the level of self-perceived skills in this area. For this purpose, a work design is presented below concerning an empirical validation, divided into different phases: the validation of content, construct and reliability, which has taken as a pilot sample a total of 259 university students studying the degree of Primary Education. The results of the validation determined the optimal conditions of content, construct and reliability that allowed the application of this scale as a generic approach to determine the level of competence in the information skills of future teachers.

Mobile learning is a resource that can enhance the teaching-learning process of students and improve the training of future teachers. Specifically, augmented reality (AR) technology allows for immersive and experiential learning without the need to leave the classroom. The purposes of this paper were to apply AR technology in the training of future Primary Education teachers and to analyze the perceived usefulness of AR in the classroom by future teachers. A quantitative approach was used based on a design with a control group and two experimental groups with a post-test using a sample of 171 second-year students studying an education degree. The results showed that experimentation with AR promoted a slight increase in student motivation. However, no significant differences were found between the control group and the experimental groups. Finally, the findings allowed us to establish that the implementation of resources such as AR does not differ in the opinion of future teachers about the inclination to implement AR in the classroom.

The use of mobile devices in classrooms is becoming more and more common. The introduction of these resources to produce learning is part of the mobile learning methodology. Among the possibilities of these devices provide we can find, as an emerging technology, augmented reality, which combines elements of the real world with virtual images. The purpose of this paper is to know the impact of the augmented reality in the educational cooperatives of Andalusia. In this regard, educational cooperatives are centers characterized in their origin by promoting the development of methodologies based on Information and Communication Technologies (ICT). The data collection instrument used in this questionnaire is a quantitative methodology of a descriptive nature. The questionnaire was prepared ad hoc according to the existing literature and the answers coded on a Likert scale. The results show that only a minority of teachers implement the augmented reality in their classes. In addition, there are statistically significant differences in terms of professional experience, so that younger teachers tend to implement methodologies based on the use of emerging mobile technologies such as augmented reality. Finally, it is emphasized that despite the constant technological advance of mobile devices in society, their application in the classroom occurs slowly.

Sharenting is becoming a regular practice that compromises children's safety and privacy. This phenomenon is related to the act of sharing images of underage children on the Internet by their relatives. At the same time, a concern arises about the levels of Internet addiction in the population. In turn, levels of Internet addiction are a current problem in modern societies that has been linked to low self-control. This paper aims to analyse the degree to which images are published and the reasons why the adult segment of the population practices sharenting, to determine the socio-demographic factors that have an impact on sharenting, Internet addiction and self-control, and to establish the correlations between these three variables. A total of 367 Spanish adults aged between 18 and 61 (M=28.98; SD=10.47) completed an online survey. Both the multiple regression analysis and the structural equation modelling revealed that: 1) Age emerges as a predictor of Internet addiction; 2) Age, gender and employment status are predictors of low self-control; 3) No socio-demographic factors were found to be predictors of sharenting; 4) The only significant correlation was observed between Internet addiction and self-control. Finally, practical implications of this paper on the protection of minors and adults' need for information on Internet security are discussed.

Since open universities can adapt to students' work schedules, personal preferences, age, and so on, they have facilitated access to education for a large group of people. The open university phenomenon, which arose in the 1960s, fostered countries' cultural growth; higher education was now longer exclusively for a privileged few. This paper presents a bibliometric study on the existing scientific output on open universities throughout the last 40 years. A bespoke methodology of bibliometric studies has been used, by setting key descriptors to be consulted in the most prestigious scientific database Web of Science. The sample was composed of 809 papers in total, indexed in prestigious journals and published during the period 1969 to 2018. The output, scattering, and impact bibliometric indicators were analysed in those papers. Among the results obtained, it was found that scientific output on open universities is in a phase of exponential growth, in which 2015 was the most productive year. Furthermore, the UK, where the phenomenon of open universities started, is the country with the most scientific output. Finally, the bibliometric study of the output indexed in the Web of Science shows a panoramic vision of the past, present, and future of open universities, emphasising the idea that this phenomenon is continuing to grow.

Artificial intelligence has experienced major developments in recent years and represents an emerging technology that will revolutionize the ways in which human beings live. This technology is already being introduced in the field of higher education, although many teachers are unaware of its scope and, above all, of what it consists of. Therefore, the purpose of this paper was to analyse the scientific production on artificial intelligence in higher education indexed in Web of Science and Scopus databases during 2007-2017. A bespoke methodology of bibliometric studies was used in the most relevant databases in social science. The sample was composed of 132 papers in total. From the results obtained, it was observed that there is a worldwide interest in the topic and that the literature on this subject is just at an incipient stage. We conclude that, although artificial intelligence is a reality, the scientific production about its application in higher education has not been consolidated.

Cyberbullying has become a global problem; cases of violence increase and the rate of suicide by victims has skyrocketed. The purpose of this work was to analyze the scientific production published on cyberbullying in children and adolescents from its beginning until 2018. To this end, a scientific analysis was carried out in the Scopus database, determining diachronic productivity, journals, countries, and institutions with the greatest interest in the subject and articles with greater scientific impact due to the number of citations. In addition, a network map was established to highlight keywords related to cyberbullying in both populations. Among the results, it is worth noting the increase in publications in 2018 and the configuration of certain journals, institutions, countries, and authors as references in the subject. Finally, potential explanations for the findings of the study and suggestions for future research are discussed.

This study focuses on the feasibility of using ground Acanthocardia tuberculate seashells as fine aggregates for self-compacting mortar production. The obtained results show a promising future for coastal industries as their use eliminates waste products and improves the durability of these materials. The use of Acanthocardia tuberculate recycled aggregate, in terms of durability, improves the performance of all mixes made with seashells compared to those made with natural sand, although it decreases workability and slightly reduces mechanical strength. Proper mix design has beneficial effects, as it improves compressive strength, especially when the powder/sand ratio is 0.7. Three replacement ratios based on the volume (0%, 50%, and 100%) of natural limestone sand with recycled fine aggregate from Acanthocardia tuberculate seashells, and three different dosages modifying the powder/sand ratio (0.6, 0.7, and 0.8), were tested. The fresh-state properties of each self-compacting mixture were evaluated based on workability. The mineralogical phases of the hardened mixtures were characterised using X-ray diffraction, thermogravimetry, and differential analyses. Subsequently, the mechanical and durability properties were evaluated based on the compressive and flexural strengths, dry bulk density, accessible porosity for water and water absorption, drying shrinkage, mercury intrusion porosimetry, and water absorption by capillarity. Therefore, the use of Acanthocardia tuberculate seashells in cement-based systems contributes to circular economy. [ABSTRACT FROM AUTHOR]