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.

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.

This study aimed to examine the impact of self-organization and self-efficacy in predicting attitudes toward cheating in online exams among undergraduate students. Drawing on the self-regulated learning framework, a cross-sectional survey design was employed to collect data from 153 students at a Saudi university using three validated scales. The findings revealed that self-organization and self-efficacy were significant negative predictors of attitudes toward cheating, with higher levels of these attributes associated with less favorable attitudes toward cheating. Furthermore, moderation analysis showed that self-efficacy significantly moderated the relationship between self-organization and cheating attitudes, suggesting a complex interplay between the two constructs. The findings highlight the importance of fostering self-regulated learning skills to enhance academic integrity in online assessment contexts.  

The introduction of evolution in post-apartheid South Africa in 2008 presented significant challenges for teachers, due to both their own and their students' faith-based biases. This study investigates South African teachers' attitudes and understanding of evolution, utilizing Lemkian sociocultural theory and Vygotskian ZPD scaffolding. A mixed-methods approach was employed, including a Likert-scale questionnaire from 91 life science teachers and qualitative insights from open-ended questions. Results reveal a lack of enthusiasm for teaching evolution, influenced by personal religious beliefs and doubts about its scientific validity. Teachers often call for equal representation of evolution and creationism in classrooms. The preparation of teachers must address the stagnant discussion of evolution, while the life sciences curriculum emphasizes the Nature of Science, scientific literacy, and connections between science and society is compromised.

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.

This study investigates how learning-oriented school cultures, conceptualized through the Schools as Learning Organizations (SLO) framework, relate to teacher self-efficacy, job satisfaction, and work effectiveness in primary schools within a centralized education system. While these constructs have received considerable attention in the literature, they have rarely been examined together within a unified organizational learning perspective, particularly in contexts marked by limited school autonomy. Using a cross-sectional survey design, data were collected from 94 teachers in nine public primary schools, alongside aggregated student ratings of instructional effectiveness from 364 pupils. The findings showed that learning-oriented school cultures were positively associated with teacher self-efficacy, job satisfaction, and work effectiveness. Teacher self-efficacy also partially mediated the relationship between SLO conditions and both job satisfaction and work effectiveness. These findings indicate that learning-oriented school cultures may strengthen teacher outcomes directly and indirectly by reinforcing teachers’ sense of efficacy. Thus, the role of school leadership in cultivating collaborative and inquiry-oriented professional environments is particularly important  

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. 

This qualitative study examines how leadership and organizational dynamics cultivate lecturers’ readiness for change in higher education. Drawing on transformational leadership theory, it explores the interconnected influence of leadership style, organizational culture, and perceived organizational support on 20 English-language lecturers in an Israeli college that has recently faced multiple overlapping changes: the national transition to CEFR-aligned instruction, the shift to online teaching during the COVID-19 pandemic, and the institutional and emotional disruptions caused by wartime conditions. Interview transcripts were analyzed using a thematic content-analysis approach. Findings reveal that lecturers’ openness to reform was strengthened by leadership characterized by competence, emotional intelligence, and accessibility; by a communicative and developmental organizational culture; and by perceived institutional care and support. Together, these dimensions fostered a sense of secure attachment to the organization-an underexplored relational mechanism linking leadership and readiness for change. The study contributes to leadership theory by proposing that Attachment Theory offers a valuable interpretive lens for understanding how relational trust and emotional security may support adaptive capacity in educational institutions. Implications are discussed for leaders seeking to sustain reform during crisis and instability through relational, emotionally attuned leadership practices.  

Entrepreneurship education in higher education requires strategies that connect theory with practice. Although Project-Based Learning (PBL) is widely used, less is known about the educational value of interactive guides that support students throughout business-plan development. This study examined a Genially-based instructional guide, supplemented with YouTube multimedia, within a PBL intervention in the Business Innovation and Creativity course at Universidad Veracruzana. A quantitatively driven embedded mixed-methods, one-group pre–post design was used with 28 undergraduate students. Data came from course assessment records and pre- and post-intervention questionnaires. Quantitative analysis compared group-level response patterns across 23 conceptually aligned dichotomous items on self-reported entrepreneurship and business-planning knowledge, while open-ended responses explored students’ perceptions of the learning experience. Descriptive statistics and thematic analysis were conducted, and both strands were integrated during interpretation. Post-intervention affirmative-response percentages were higher for several conceptually aligned topics, although the response patterns varied across items and the anonymous responses could not be matched at the individual level. Students also rated the guide as highly useful (M = 9.81/10) and described it as providing organization, clarity, and step-by-step support. These findings suggest that the guide had potential educational value as a pedagogical scaffold in this course. However, because the study used a small, one-group design without linked responses or a comparison group, the results should be interpreted as context-specific descriptive evidence rather than as proof of causal effects on entrepreneurial competencies.

Purpose: This study examined the influence of metacognitive awareness, epistemological beliefs, and mathematical resilience on university students’ perceived mathematical problem-solving ability and explored the cognitive and affective processes students employ when solving mathematical problems. Design/methodology/approach: An explanatory mixed-methods design was employed. Quantitative data were collected from 350 undergraduate Mathematics Education students at a public university in Ghana using a structured questionnaire and analyzed using exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. Qualitative data were obtained from 10 purposively selected students and analysed thematically to provide further insight into students’ problem-solving processes. Findings: Metacognitive awareness (β = .247, p < .001) and epistemological beliefs (β = .273, p < .001) significantly predicted perceived mathematical problem-solving ability, whereas mathematical resilience did not significantly predict perceived mathematical problem-solving ability (β = .105, p = .163). The qualitative findings indicated that students engaged in problem interpretation and strategy planning, monitoring and evaluation, persistence and strategy adjustment, and experienced varied emotional responses during problem solving. Practical implications: Mathematics instruction should incorporate activities that strengthen students’ metacognitive regulation and productive epistemological beliefs while developing resilience alongside mathematical knowledge and problem-solving strategies. Originality/value: The study combines structural evidence on cognitive and epistemological predictors of mathematical problem-solving with qualitative accounts of students’ cognitive and affective experiences, providing a more comprehensive account of problem-solving among university mathematics education students.

Binary classifications of teaching as transmission or constructivism obscure how participation, authority, knowledge practices, and conceptual work can vary within one lesson. This article introduces the social, procedural, epistemic, and conceptual (SPEC) framework for episode-level lesson analysis. SPEC was developed through a structured purposive theory synthesis rather than an exhaustive systematic review. A documented corpus of foundational traditions, observation systems, and targeted verification sources was compared using explicit inclusion, boundary, and disposition rules. Candidate constructs were assigned by observable target; three indicators per dimension were retained as a parsimonious authorial proposal; and qualitative descriptors were generated from theoretically warranted adjacent distinctions checked against cross-dimensional counterexamples. The dimensions are analytically distinguishable but potentially related. Their descriptor codes form non-additive, non-normative profiles rather than composite scores or judgments of teaching quality. An instructional episode is the primary unit; a hypothetical transcript illustrates indicator coding, opportunity/evidence flags, and rejection of nearby alternatives. SPEC is an initial conceptual proposal requiring operationalization, reliability examination, and validity testing. Ordering, thresholds, and cross-domain use require study before evaluative application.