Despite progress made in recent years, women continue to be underrepresented in academic publishing. We aim to share insights from academic women researchers who participated in the Training Needs Assessment for developing their writing for publication skills in an Open Distance Learning institution in South Africa. The research questions that guided the study were: a) What specific challenges do academic women researchers face in developing research and publishing skills? b) What motivated academic women researchers to participate in a writing project? c) What type of support do academic women researchers identify as essential for advancing their research and publishing skills? The data were collected through an initial face-to-face meeting, followed by a Training Needs Assessment from eight purposively chosen participants in a case study design. The findings indicate participants’ challenges of time constraints, lack of confidence, and knowledge as obstacles that hindered their publishing. Despite their challenges, women researchers reported their motivation to participate in the writing project for career advancement, personal development, academic recognition, and their inspiration to publish their research work. The study found that women researchers required writing support, peer collaboration, mentorship, and institutional support to improve their writing for publishing skills. Supporting academic women researchers with focused training, engaging them in collaborative networks, and developing gender-sensitive policies is crucial for promoting equity, breaking down barriers, and ensuring their academic and professional success.

This study applies explainable machine learning to identify which vocal attributes in a lecturer’s speech influence students’ views of a lecturer’s charisma, a key contributor to teaching quality. It further explores whether vocal qualities differ between male and female lecturers and how students of different genders respond to these differences, offering insights into voice-related factors that influence the impact of educators. Speech segments from YouTube videos featuring 200 native-English lecturers were evaluated by 900 students using charisma rating scales. A set of attributes related to three primary prosodic dimensions of voice - pitch, rhythm, and loudness - was computed. A random forest classifier was employed to predict the charisma level based on the speech attributes and to list and rank the attributes that contributed most to the prediction. The findings revealed prominent vocal attributes that achieved higher charisma scores in the students' ratings. Same-gender evaluations of charisma were mainly based on pitch, while cross-gender evaluations rely mostly on loudness or rhythm. The automated, interpretable method provides a reliable and efficient way to measure vocal charisma in academic lecturers. It can be adapted to examine additional individual factors that influence the perception of a lecturer’s charismatic presence. It may also be integrated into practice-based tools, designed to support instructors in improving their presentation skills. Our research bridges the fields of applied psychology and computer science to contribute to the development of educational technology.

In recent years, significant developments have occurred in AI-based chatbots that have been effectively deployed in the educational field. However, given the novelty of this technology, descriptive analyses remain scarce. Although many review studies have focused on the effectiveness of chatbots, they generally present broad results, and only a few have addressed the impact of this technology on learning outcomes. The present study examines the educational implications of AI chatbots on various learning outcomes through a post hoc analysis conducted in accordance with PRISMA principles. It aims to aggregate and analyze findings from studies that examined the use of chatbots and their impact on specific learning outcomes. A total of 26 studies were selected from a pool of 6,721 published between 2021 and 2024 and indexed in the Scopus and Web of Science databases. Data analysis was conducted using the Newcastle-Ottawa Scale (NOS) for Education. The results revealed that AI-chatbot technology has a positive influence on several learning outcomes, including academic achievement, motivation, self-assessment, engagement in learning, self-efficacy, and language learning, among others. The studies also detailed the methodologies and tools employed in these investigations. The study also offers insights into how intelligent chatbots can be leveraged to enhance various learning outcomes.

Vocational education plays a pivotal role in nurturing talent and supporting national development. However, challenges such as outdated talent development concepts, insufficient teacher training, and a lack of attention to soft skills cultivation from both schools and students have hindered the comprehensive development of secondary vocational students. This study aims to explore the direct effect of perceived teachers’ transformational leadership on the soft skills of 324 secondary vocational students in China and to examine the mediating role of students’ self-efficacy in this relationship. Using Structural Equation Modeling (SEM), the results show that teachers’ transformational leadership has a significant positive effect on students’ soft skills (β = 0.33, p < .01). Moreover, self-efficacy partially mediates this relationship (indirect effect β = 0.07, p < .05), accounting for 22.6% of the total effect. These findings suggest that teachers’ inspirational motivation, individualized consideration, and intellectual stimulation directly foster students’ communication, teamwork, and problem-solving skills, while also indirectly strengthening them by enhancing students’ confidence. Practically, the study underscores the need for teacher training in transformational leadership and for policy initiatives that integrate soft skills into vocational curricula.

Academic studies are an important stage in the development of professional identity and perceptions regarding a person’s future occupation. This study examined the relationships between experiences during college studies and professional identity and motivation to work in the studied field among female undergraduates from the Ultra-Orthodox sector. The study employed a cross-sectional survey design with a sample of 93 participants, who were all studying for B.A. degrees on an Ultra-Orthodox college campus. At the end of the 2023 academic year, participants completed anonymous, self-report questionnaires about their attitudes toward academic studies, professional identity, and motivation to work. The data from the questionnaires were analyzed using t-tests, ANOVA, correlation analyses, and multiple regression. The findings revealed significant, positive relationships between satisfaction with one’s studies and professional identity and between professional identity and motivation to work in one’s field of study. Contrary to what had been hypothesized, no relationship was found between the students’ satisfaction with their studies and their motivation to work in their field of study. In addition, the professional identity of students in the later years of their programs was no stronger than that of first-year students. This indicates that perceptions of one’s college studies are not directly related to occupation or motivation for work. The findings show that the year in one’s study program did not affect work motivation, suggesting that the link between academic experience and occupation is weak. In addition, the fact that professional identity did not act as a mediating factor in the examined model suggests that professional identity may develop before individuals begin their college studies.

A survey of literature on methodology reveals that the whole-part relationship is broken between the overarching definition of methodology and compatible sets of methodic practices and underlying assumptions. Two key general structures are missing: (a) a big picture view within which to organize definitions and parts, and (b) a framework within which to guide analysis of any particular feature of methodology without detaching from an understanding of the particular in relation to the whole. As a consequence, a basic question remains unanswered about what social scientists mean by methodology. The current manuscript explored literature relating to methodology, without emphasis on any specific paradigm, with the aim of synthesizing both the definitions (i.e., the whole) and components (i.e., the parts) of methodology. Using hermeneutic synthesis, nine definitions of methodology and four methodological decision sets were inferred. Definitions and decision sets were integrated into a range-based methodological framework. The resulting framework captures the continuum of methodological choices made by inquirers, which has implications for educators, methodologists, and researchers seeking to engage in inter- and intra-paradigm methodological analysis to understand and compare methodological decision points. 

This study aims to address students' low mathematical problem-solving skills and self-regulated learning by developing website-based mathematics learning media using the problem-based learning model. Learning that integrates website-based media allows for more independent learning activities in solving mathematical problems. This study uses the ADDIE model to test the validity, practicality, and effectiveness of the product. Website-based media met the validity criteria based on expert assessments with an average score of 137 from subject matter experts and 78.5 from media experts, and the research instruments were declared valid with an Aiken index ranging from 0.9 to 0.99. Website-based media meet the criteria for practicality based on an average teacher assessment of 90.5, an average student assessment of 50.1, and a learning implementation rate of 93%. Website-based media are proven to be effective through four indicators: (1) students who pass exceed the threshold of 80%. (2) One sample t-test results p-value <.05 and t-value >1.69, so that H_0 is rejected. This proves that website-based mathematics learning media are effective in improving students' mathematical problem-solving skills and self-regulated learning. (3) The results of the paired sample t-test show p-value <.05 and t-value >1.69, so that H_0 is rejected. This proves that there is a significant improvement in students' mathematical problem-solving and self-regulated learning abilities after using website-based mathematical learning media. This study is able to facilitate students' problem-solving and self-regulated learning abilities simultaneously in mathematics education.

Team-based learning (TBL) is a popular form of collaborative learning designed to increase student engagement and motivate students to learn. A growing body of research, particularly in the health sciences, has demonstrated that TBL has positive impacts on student performance and classroom dynamics. However, much less is known about the student outcomes associated with TBL courses in undergraduate science, technology, engineering, and mathematics (STEM) education, fields in which active learning is especially important for student success and retention. To address this gap, we conducted a systematic review of the student outcomes associated with TBL in undergraduate STEM education. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method, we identified 55 empirical and qualitative research articles published between 2005 and 2024 that reported on TBL implementation practices and student outcomes. Importantly, we found that most studies described increased student performance and improved measures of classroom dynamics when TBL was compared to lecture-based teaching approaches. These findings provide further evidence that TBL is an effective instructional method and suggest that TBL can be implemented successfully across a wide range of student populations and undergraduate STEM disciplines.

University teaching staff are increasingly engaged in innovative sustainability-related initiatives aimed at improving teaching-learning processes while fostering their own academic development. However, the literature has only tentatively explored the impact of this participation on academic development. This work, therefore, aims to analyse the dimensions of the sustainability-oriented learning environment known as Ocean i3 that influence the academic development of university teaching staff. It is based on a case study approach that enables an in-depth and contextualised analysis of this complex phenomenon in a real-world setting. Interviews and a focus group were used as data-collection instruments while inductive content analysis guided the interpretation and discussion of the findings. The results suggest that the complexity of the educational choreography—including project design, institutional context, the teaching team, and the active involvement of staff and students— plays a key role in the academic development of university teaching staff. The study concludes that these dimensions should be strengthened in innovative sustainability-oriented learning environments in order to promote teachers’ academic development.