The world eagerly anticipates advancements in AI technologies, with substantial ongoing research on the potential AI applications in the domain of education. The study aims to analyse publications about the possibilities of artificial intelligence (AI) within higher education, emphasising their bibliometric properties. The data was collected from the Scopus database, uncovering 775 publications on the subject of study from 2000 to 2022, using various keywords. Upon analysis, it was found that the frequency of publications in the study area has risen from 3 in 2000 to 314 in 2022. China and the United States emerged as the most influential countries regarding publications in this area. The findings revealed that “Education and Information Technologies” and the “International Journal of Emerging Technologies in Learning” were the most frequently published journals. “S. Slade” and “P. Prinsloo” received the most citations, making them highly effective researchers. The co-authorship network primarily comprised the United States, Saudi Arabia, the United Kingdom, and China. The emerging themes included machine learning, convolutional neural networks, curriculum, and higher education systems are co-occurred with AI. The continuous expansion of potential AI technologies in higher education calls for increased global collaboration based on shared democratic principles, reaping mutual advantages.

Compliance with any policies, laws and regulations, including university compliance with quality assurance mechanisms globally, depends on the practicability of those mechanisms. Like other countries, Tanzania has quality assurance mechanisms that require universities to comply. However, the existing audit reports have shown non-compliance cases to such mechanisms. This study sought to explore the practicability of the existing quality assurance mechanisms in promoting universities’ compliance in Tanzania. The documentary reviews, interviews, and focus group discussions were used to collect data from the 4 universities and 46 students, academics, and quality assurance directors and officers as a sample size selected purposively. The data were analysed through content analysis. The findings revealed that the existing quality assurance mechanisms are generally practicable; however, there are quality assurance requirements with practicability challenges due to contextual factors. Such requirements include senior academics in administrative duties, academics’ promotion, academics’ recruitment, inclusive and participatory teaching approaches, requirements with extra financial costs, examination scripts’ marking, and invigilation restrictions. This study concludes that the practicability challenges of some quality assurance mechanisms are one reason for non-compliance cases at some Tanzanian universities. It recommends that key stakeholders be involved in establishing mechanisms, and all contextual factors must be addressed to enhance practicability.

The present study aimed to improve the speaking skills of university students at the B1 level who presented limitations in their oral competence. An educational methodology based on designing and implementing an application adapted to the Common European Framework of Reference was developed and applied to boost language performance. A case study was used to conduct the two stages of this research; the former had to do with a control group where intervention was carried out using non-probabilistic sampling with students of the Computing Faculty; a pretest was applied to test the knowledge acquired in their classroom sessions during the first quarter in 2020. The second process was tracking an experimental group, which was assessed after implementing the developed methodology using the app "4skillsweb". A posttest was used to evidence learners' progress during the COVID-19 lockdown, and the results showed improved oral competence in aspects such as grammar and vocabulary, discourse management, pronunciation, and interactive communication, with about 95% confidence in its validation. A qualitative-quantitative methodology was used to determine the influence of the English app. A t-students test was implemented to corroborate the data analysis taken by both groups through SOFTWARE JMP v 11.0.0G.

This integrative literature review aims to provide a broader and updated perspective of teachers’ intergenerational learning (IL). The search was done in Web of Science and EBSCO ultimate  databases between 2011 and 2022. Thirty-two empirical studies were selected and submitted to a thematic analysis and five themes were identified: (a) defining and conceptualising generation, (b) IL from understandings to practices, (c) contexts, factors and roles from different generations and institutions to promote IL, (d) factors that facilitate the success of IL, and (e) factors that make IL difficult. Data shows an increase in the last decades of research in IL within the educational context, but an absence of the prospective dimension still prevails. Intergenerational knowledge has been researched mainly from an individual professional perspective at the micro and meso levels of scholarship. Effectiveness requires intentional cultivation and a genuine desire for intergenerational knowledge exchange, involving active engagement and awareness among diverse generations and alignment with organizational aims. The promotion of IL takes place in very different ways and forms, and reflection on what is different seems to be a dominant trait. Furthermore, the review could conclude that intergenerational opportunities to work together will improve teacher education and continuous professional development. 

<p>&lt;p style=&quot;text-align:justify&quot;&gt;In the early stages of adopting online learning, both learners and teachers displayed resistance, but the COVID-19 pandemic has forced a widespread shift to digital learning. To facilitate this transition, there is a growing focus on highlighting the effectiveness of online learning, which directly impacts learning outcomes. This study investigates online learning effectiveness through an integrated framework that considers online assessment practices and online course design as independent variables, with online learning support as a moderating variable. Understanding the effectiveness of online learning is crucial as hybrid learning becomes the &amp;quot;new norm&amp;quot; in education, combining online and offline methods for teaching the digital generation. Using a quantitative research design involving 232 students at Universiti Kebangsaan Malaysia, the study found that online assessment practices and course design significantly influence students perceived learning outcomes in an online learning environment. Additionally, online learning support positively moderates this relationship. These findings offer a comprehensive perspective on how online assessment practices, course design, and support systems contribute to the quality of higher education in Malaysia amidst evolving educational practices.&lt;/p&gt;</p>

<p>&lt;p style=&quot;text-align:justify&quot;&gt;This study aims to explore the impact of outdoor education on senior elementary school students&amp;#39; perceptions of scientific literacy and learning motivation. 42 senior elementary school students (25 males, 17 females; average age = 11.6) were enrolled and divided into experimental (N = 21) and control (N = 21) groups. Participants were taught the same content about science for four weeks. The control group adopted traditional indoor teaching, whereas the experimental group adopted outdoor education. Before and after the course, each student completed the 23 items of scientific literacy and the 6 items of learning motivation scale. The results show that the experimental group had significantly higher perceptions of scientific literacy and learning motivation. The outdoor education teaching method has positive effects on the higher levels of awareness and creative development of students. These findings imply that outdoor education has a positive effect on improving students&amp;#39; perceptions of scientific literacy and learning motivation.&lt;/p&gt;</p>

<p style="text-align:justify">Recently, a large-scale study of college students&rsquo; motivation orientations when they transitioned to online learning because of the global COVID-19 pandemic found that unlike prior studies, in the 3 x 2 goal orientation framework the standard for competence (self, other, task) was of greater importance than valence (approach, avoidant). Moreover, previous research found students&rsquo; different goal orientations related to how they responded to the shutdown academically from both volition and social perspectives. We investigated whether a three-factor model would replicate with unique undergraduate cross-cultural samples, and we wanted to examine how students with different goal orientations responded to the shutdown of their universities due to the pandemic. Students from a U.S. university and students from Oman completed a 44-item goal orientation survey, a demographic survey, and an 11-item survey to assess students&rsquo; experiences following the pandemic. Results indicate that students who set task-based goals were less likely to have negative experiences related to the social aspects of the pandemic and those students who had negative responses to the lack of social contact were also expected to have lower grades.</p>

Mathematics test items in International Large-Scale Assessments (ILSAs) such as the Programme of International Student Assessment (PISA) and the Trends in International Mathematics and Science Study (TIMSS) are nested in contexts defined in their assessment framework (e.g., the Personal, Occupational, Societal, and Scientific contexts in PISA). This study followed the item-writing activities of four tertiary mathematics instructors in the Philippines as they constructed context-based mathematics items. They were tasked to write four items each, following a set of specifications for PISA content and context categories. The data consisted of transcripts from the focus-group discussion which was conducted days after the task. The transcripts were then analyzed using thematic analysis. The results of this study showed that the phenomenon of item-writing in the context of writing PISA-like mathematics items had two themes: the phases of item-writing and the dimensions of item-writing. Findings showed that the respondents struggled to find realistic contexts and that they engaged in a problem-solving task likened to solving a puzzle as they attempted to satisfy the content, context, and process categories in the table of specifications (TOS). This study contributes to filling in the research gap on item-writing activities, particularly those of mathematics teachers in the Philippines- a country whose recent mathematical performance in the PISA 2018, TIMSS 2019, and PISA 2022 was nothing short of dismal.

This article investigates artificial intelligence (AI) implementation in higher education (HE) from experts' perspectives. It emphasises the view of AI's involvement in administrative activities in higher education, experts' opinions concerning the influence of the incorporation of AI on learning and teaching, and experts' views on applying AI specifically to assessment, academic integrity, and ethical considerations. The study used a qualitative method based on an unstructured qualitative interview with open-ended questions. The participants were thirteen individuals currently involved with higher education institutions and had various talents related to AI and education. Findings stress that implementing AI technology in administrative roles within higher education institutions is essential since it cuts costs, addresses problems efficiently and effectively, and saves time. The findings also revealed that AI plays a vital role in learning and teaching by speeding up the learning process, engaging learners and tutors, and personalising learning depending on the learner's needs within an entirely intelligent environment. AI can produce an accurate, objective, and suitable level of assessment. AI aids students in developing a stronger sense of integrity in their academic work by guiding them through AI-powered applications. AI must adhere to ethical laws and policies, ensuring its potential negative aspects are not overlooked or left unchecked.

Since psychological satisfaction is influenced by the interaction between individuals and their environment, it is necessary to create a cooperative climate at the organizational level and strengthen collective innovativeness at the individual level to improve teachers' job satisfaction. Therefore, the study investigated whether collective innovativeness can be mediated by the school climate to enhance teacher job satisfaction. This study extensively examined survey data with a sample of 3,976 teachers in Shanghai through Structural Equation Modeling, obtained from Teaching and Learning International Survey (TALIS). The findings revealed that teachers' collective innovativeness served as a significant mediator between school climate and job satisfaction. Furthermore, higher levels of collective innovativeness among teachers amplified the influence of school climate on their job satisfaction. These findings show that schools should strive to foster a collaborative school climate and provide support for teachers in implementing innovative and collaborative teaching activities with the aim of enhancing their job satisfaction. Above all, efforts are needed to support teachers' active and cooperative practice capabilities in building teacher-student relationships.

Recent research has identified factors influencing the choice of a special education career; however, it has not thoroughly examined their connection with personality traits and identity status. Thus, the present study was designed to explore how different personality traits and identity statuses correlate with the motives and perceptions associated with the choice to teach in special education. The study involved 209 pre-service special education teachers. The NEO-Five Factor Inventory was used to measure the Big 5 personality traits. The Ego Identity Process Questionnaire assessed identity commitment and exploration. The Factors Influencing Teaching Choice Scale was used to evaluate motivations and perceptions about teaching. Regarding the factors that influenced the decision to pursue a career in special education, intrinsic value, shaping children’s future, social equity, making social contributions, working with children, task demands, and job satisfaction were highly rated. Additionally, extraversion, openness to experience, conscientiousness, and identity statuses were identified as positive predictors for certain factors influencing the choice of a teaching career in special education. Finally, the study identified two distinct groups of students: "Identity Achievers" characterized by high positive personality traits, and identity commitment, and "Identity Explorers" characterized by lower positive personality traits and higher identity exploration. Differences were observed between the groups in their motives and perceptions concerning teaching in special education. In conclusion, this study highlights the relationships between personality, identity status, and career decision factors, offering insights into the factors that influence this critical career decision among future special educators. Directions for future research are discussed.

This comprehensive systematic review delves into the increasing prevalence of integrating chatbots into language education. The general objective is to assess the current landscape of knowledge regarding chatbot utilisation and its influence on three crucial elements: students' skills, attitudes, and emotions. Additionally, the review seeks to scrutinise the advantages linked to incorporating chatbots in foreign language teaching, exploring their potential benefits while considering limitations and potential negative impacts on specific skills or user experiences. Consequently, this research offers valuable insights into the application of chatbots in foreign language education, shedding light on their potential advantages and areas that warrant further exploration and enhancement. The integration of chatbots in language learning, despite certain limitations, generally yields positive outcomes and enhances educational results in students' skills. Its characteristics can also influence a language learner's attitude, impacting factors such as motivation, interest, autonomy in learning, and engagement or even their sense of fun. Additionally, chatbots prove to be helpful in creating emotionally positive learning environments and can contribute to boosting students' self-esteem and self-confidence.

In the realm of education, particularly in the domain of second language acquisition, understanding the intricate interplay between emotions and learning processes is a challenging endeavor. This research aims to explore the importance of studying anxiety-related emotions in the learning and teaching of English as a foreign language by conducting a study based on a quantitative methodology. To that end, a 33-item instrument was given to a total of 231 (n=231) university students who learn and use English in class in diverse degrees in the social and health sciences. The results obtained shed light on the negative emotions that students report during their English classes, such as fear, shame, nervousness, or feelings of judgement. However, not all the emotions are negative, since students also feel relaxed and interested. This study offers a new perspective on this topic since it compares different disciplines, underscoring the need to detect trends in different areas and therefore tailor pedagogy to different student profiles and degree programs.

Research in higher education has revealed a significant connection between executive functions (EF) and study success. Previous investigations have typically assessed EF using either neuropsychological tasks, which provide direct and objective measures of core EF such as inhibition, working memory, and cognitive flexibility, or self-report questionnaires, which offer indirect and subjective assessments. However, studies rarely utilize both assessment methods simultaneously despite their potential to offer complementary insights into EF. This study aims to evaluate the predictive capabilities of performance-based and self-reported EF measures on study success. Employing a retrospective cohort design, 748 first-year Applied Psychology students completed performance-based and self-report questionnaires to assess EF. Maximum likelihood correlations were computed for 474 students, with data from 562-586 first-year students subsequently subjected to hierarchical regression analysis, accommodating pairwise missing values. Our results demonstrate minimal overlap between performance-based and self-reported EF measures. Additionally, the model incorporating self-reported EF accounted for 13% of the variance in study success after one year, with the inclusion of performance-based EF raising this proportion to 16%. Self-reported EF assessments modestly predict study success. However, monitoring levels of self-reported EF could offer valuable insights for students and educational institutions, given that EF play a crucial role in learning. Additionally, one in five students reports experiencing significant EF difficulties, highlighting the importance of addressing EF concerns for learning and study success.

Faculty members’ beliefs in their ability to conduct research and publish research outputs are expected to impact research productivity directly. Thus, the study described the research self-efficacy and productivity among faculty members, their research self-efficacy influence on productivity, and their challenges in research writing and publication. The study utilized a mixed-method sequential explanatory research design, with 36 and nine faculty member-participants for the quantitative and qualitative study. For the quantitative study, the faculty members’ research self-efficacy was ascertained using a validated questionnaire, and their research productivity was determined through a researcher-made survey instrument. Meanwhile, the qualitative study focused on the faculty members’ research writing and publication challenges, which were gathered through focus group discussions. Results showed average research self-efficacy and low research productivity among faculty members. Research self-efficacy significantly predicted research productivity regarding refereed and indexed publications, paper presentations, and bibliometrics. Further, themed findings showed that the faculty members encountered challenges such as a lack of research exposure, time constraints, lack of institutional support, and publication pressure. The study may serve as an inference for higher education institutions in designing faculty development plans and in-service training programs to capacitate its members.

Digital competence entails the healthy, safe, and responsible use of digital technologies to take engage in society, to learn, work and to interact with. However, the use of digital devices is not exempt of risks. The objectives of this study were to analyze the mediating effect of fear of missing out (FoMO) on phubbing and nomophobia, and to explore the perception of the use of Internet-connected devices among 522 Spanish university students, with an average age of 27.11 years. The 80.8% are women and 68.2% study degrees related with Educational Sciences. A mixed-methods approach was used, combining bivariate correlation with structural equation modelling (SEM), and qualitative content analysis. SEM analysis revealed that FoMO had a significant effect on nomophobia and phubbing. Qualitative content analysis underlined that the time spent, problematic use, and sense of dependence were the main concerns for participants. It is emphasized that the plethora of ICT opportunities exposes individuals to risk contexts, necessitating media education to mitigate psychological and social consequences stemming from Internet risks.

This study investigates the social attitudes and acceptance levels towards Lesbian, Gay, Bisexual, Transgender, Queer or Questioning, Intersex, Asexual, and other sexualities and gender identities, collectively referred to as LGBTQIA+, among students within the College of Education at Nueva Ecija University of Science and Technology. Employing a descriptive correlational research design, the research utilized surveys and interviews to collect data from a diverse student body, analyzing their perspectives on LGBTQIA+ inclusion and the impact of educational environments on their acceptance levels. Results indicate a generally positive attitude and high acceptance of LGBTQIA+ students, with significant relationships identified between students' acceptance levels and their gender and year level, while no significant correlations were found with their course and religion. The study emphasizes the critical role of educational settings in fostering an inclusive atmosphere that supports LGBTQIA+ students, highlighting the importance of promoting understanding and acceptance to enhance the educational experience for all students. By shedding light on current attitudes and acceptance levels, this research contributes valuable insights into the efforts required to create more inclusive educational environments for LGBTQIA+ individuals. The findings are of particular relevance to educators, policymakers, and educational researchers interested in advancing LGBTQIA+ inclusion within educational settings.