The knowledge about long-term consequences of preterm birth among health professionals, educational professionals, and parents in Slovenia.

AIM: To assess the knowledge about the long-term consequences of preterm birth and the need for training and information among various professionals working with preterm children and parents of preterm children. METHODS: In February and March 2018, physicians, psychologists, special education needs teachers, teachers, preschool teachers, and parents (N=488) filled in the Preterm Birth-Knowledge Scale and a survey regarding their perceptions and attitudes toward working with preterm children. RESULTS: Physicians and psychologists were most knowledgeable among the groups about the long-term consequences of preterm birth. Teachers, preschool teachers, and parents had significantly lower knowledge (F=23.18, P<0.001). The majority of professionals indicated that they did not feel adequately equipped to support the learning and development of preterm children and that they had not received sufficient training in this area. More than half indicated that they had received no formal training. In general, the participants tended to underestimate the long-term problems of preterm children. CONCLUSION: The findings underscore the importance of integrating the issue of the long-term outcomes of preterm birth and working with preterm children into formal education, and in other forms of educational activities.

Learning difficulties in school children: health and education professionals' perceptions.

OBJECTIVES: to understand health and education professionals' perceptions regarding children's learning difficulties in public schools. METHODS: qualitative research, of the participatory action type, linked to Paulo Freire's Research Itinerary. Forty-five professionals participated, through interviews and a Virtual Culture Circle. The analysis was developed through careful reading, reflection and interpretation of highlighted topics. RESULTS: professionals discussed the (in)visibility of learning difficulties, strategies and resources in the educational sector and the search for solutions in the health sector. It was found that the production of complaints related to school learning is attributed predominantly as an individual problem of children or their family, exempting the educational institution from this process. FINAL CONSIDERATIONS: greater investment in professional training and development policies is urgently needed to facilitate coordination between sectors, with a view to overcoming outdated pedagogical and health models.

Exploring the use of ChatGPT to analyze student course evaluation comments.

BACKGROUND: Since the release of ChatGPT, numerous positive applications for this artificial intelligence (AI) tool in higher education have emerged. Faculty can reduce workload by implementing the use of AI. While course evaluations are a common tool used across higher education, the process of identifying useful information from multiple open-ended comments is often time consuming. The purpose of this study was to explore the use of ChatGPT in analyzing course evaluation comments, including the time required to generate themes and the level of agreement between instructor-identified and AI-identified themes. METHODS: Course instructors independently analyzed open-ended student course evaluation comments. Five prompts were provided to guide the coding process. Instructors were asked to note the time required to complete the analysis, the general process they used, and how they felt during their analysis. Student comments were also analyzed through two independent Open-AI ChatGPT user accounts. Thematic analysis was used to analyze the themes generated by instructors and ChatGPT. Percent agreement between the instructor and ChatGPT themes were calculated for each prompt, along with an overall agreement statistic between the instructor and two ChatGPT themes. RESULTS: There was high agreement between the instructor and ChatGPT results. The highest agreement was for course-related topics (range 0.71-0.82) and lowest agreement was for weaknesses of the course (range 0.53-0.81). For all prompts except themes related to student experience, the two ChatGPT accounts demonstrated higher agreement with one another than with the instructors. On average, instructors took 27.50 ± 15.00 min to analyze their data (range 20-50). The ChatGPT users took 10.50 ± 1.00 min (range 10-12) and 12.50 ± 2.89 min (range 10-15) to analyze the data. In relation to reviewing and analyzing their own open-ended course evaluations, instructors reported feeling anxiety prior to the process, satisfaction during the process, and frustration related to findings. CONCLUSIONS: This study offers valuable insights into the potential of ChatGPT as a tool for analyzing open-ended student course evaluation comments in health professions education. However, it is crucial to ensure ChatGPT is used as a tool to assist with the analysis and to avoid relying solely on its outputs for conclusions.

Initiatives for promoting educator wellbeing: a Delphi study.

BACKGROUND: Growing demands on educators have resulted in increased levels of burnout and stress and decreasing wellbeing. This study aimed to establish expert consensus on the key characteristics required in prospective educator wellbeing initiatives. METHODS: The Delphi approach is a process of forecasting that is based on the aggregated opinion of panel members (or experts) within a field of study. Using a Delphi approach, academic and practitioner expertise were sought over a two-rounds, with 17 and 14 participants in each round respectively. The study aimed to identify how systemic factors (e.g., leadership) could be utilised to promote educator wellbeing. The study also sought expert consensus on enablers and barriers for engagement in educator wellbeing initiatives. RESULTS: Findings highlighted the importance of fostering positive relationships with colleagues, communities and families, and the active role of wellbeing teams to promote wellbeing initiatives. The need for leaders to address their own wellbeing and build trust within teams was also identified. Panel members identified the need for prospective funding to prioritise wellbeing initiatives. There was also a preference for ongoing initiatives rather than stand-alone wellbeing events that conveyed the ongoing importance of managing one's wellbeing. CONCLUSIONS: This paper presents practical recommendations that can be used to inform the development and evaluation of future initiatives and policy. Applying the consensus derived from this study is likely to make wellbeing initiatives more viable and facilitate uptake amongst educators.

Are teachers meeting students' needs in untracked science classrooms? Evidence based on a causal inferential approach.

Tracking has been criticized for relegating disadvantaged students to lower track courses in which students encounter a greater lack of instructional support. While an end to tracks through detracking is a possible solution, there are concerns that detracking will create more heterogeneous classrooms, making it harder for teachers to provide adequate support to their students. Using the 2015 PISA dataset, this study conducts a causal inferential analysis to understand the differences in student perceptions of teaching in tracked and untracked environments. The results provide evidence that students' needs, with respect to adaptation of instruction and provision of individualized feedback and support, are being met to the same extent on average in tracked and untracked science classes, suggesting that teachers may not necessarily have a harder time meeting the needs of students in untracked classes.

Physiology education in China: the current situation and changes over the past 3 decades.

OBJECTIVE: As an experimental biological science, physiology has been taught as an integral component of medical curricula for a long time in China. The teaching effectiveness of physiology courses will directly affect students' learning of other medical disciplines. The purpose of this study is to investigate the current situation and changes in physiology teaching over 30 years in Chinese medical schools. METHODS: National survey was conducted online on the platform SoJump via WeChat and the web. The head of the physiology department in medical school was asked to indicate the information of physiology education from three periods: 1991-2000, 2001-2010, and 2011-2020. The responses of 80 leaders of the Department of Physiology from mainland Chinese medical schools were included in the study for analysis. RESULTS: The survey showed that the class hours, both of theory and practice, had been decreased. During the past 20 years, the total number of physiology teachers, the number of physiology teachers who had been educated in medical schools, and the number of technicians had been reduced, whereas teachers with doctor's degrees had been increased. In addition to traditional didactic teaching, new teaching approaches, including problem-based learning/case-based learning/team-based learning, integrated curriculum and formative evaluation systems, had been employed, mostly for more than 5 years, in some medical schools. CONCLUSION: The present study has provided historical data regarding the current status of physiology education in China and that in the past thirty years by showing that physiology education in China has developed quickly,even it faces many challenges.

Teachers and educators' experiences and perceptions of artificial-powered interventions for autism groups.

BACKGROUND: Artificial intelligence-powered interventions have emerged as promising tools to support autistic individuals. However, more research must examine how teachers and educators perceive and experience these AI systems when implemented. OBJECTIVES: The first objective was to investigate informants' perceptions and experiences of AI-empowered interventions for children with autism. Mainly, it explores the informants' perceived benefits and challenges of using AI-empowered interventions and their recommendations for avoiding the perceived challenges. METHODOLOGY: A qualitative phenomenological approach was used. Twenty educators and parents with experience implementing AI interventions for autism were recruited through purposive sampling. Semi-structured and focus group interviews conducted, transcribed verbatim, and analyzed using thematic analysis. FINDINGS: The analysis identified four major themes: perceived benefits of AI interventions, implementation challenges, needed support, and recommendations for improvement. Benefits included increased engagement and personalized learning. Challenges included technology issues, training needs, and data privacy concerns. CONCLUSIONS: AI-powered interventions show potential to improve autism support, but significant challenges must be addressed to ensure effective implementation from an educator's perspective. The benefits of personalized learning and student engagement demonstrate the potential value of these technologies. However, with adequate training, technical support, and measures to ensure data privacy, many educators will likely find integrating AI systems into their daily practices easier. IMPLICATIONS: To realize the full benefits of AI for autism, developers must work closely with educators to understand their needs, optimize implementation, and build trust through transparent privacy policies and procedures. With proper support, AI interventions can transform how autistic individuals are educated by tailoring instruction to each student's unique profile and needs.

Measuring social-emotional development in schoolchildren: A national-level analysis of ECLS-B cohort data.

The present study examined the social-emotional development items assessed by kindergarten teachers in the Early Childhood Longitudinal Study-Birth Cohort to determine the optimal factor structure underlying the items as well as the reliability and validity of the resulting factors. This study identified an empirically derived factor structure for teacher-reported social development, investigated whether there was evidence of bias in teacher assessments of social-emotional constructs, examined factor invariance across demographic characteristics (i.e., race and ethnicity, sex, and poverty status), and examined the external validity of the derived factors by determining the extent to which they were associated with well-established measures of early childhood competencies. Findings suggested a 4-factor solution was optimal, consisting of (a) Interpersonal Skills, (b) Externalizing Behavior, (c) Approaches to Learning, and (d) Perspective Taking. Findings offer suggestive evidence of teacher biases in assessments and some, although not conclusive, support for the invariance of social-emotional dimension across demographic characteristics. Results provide a useful next step toward documenting reliable and valid social-emotional measures for use in early childhood research and challenges users of national datasets to think critically about the use of "scales" without a priori attention to important psychometric properties.

Math self-concept in the transition to secondary school: Developmental trends, predictors, and educational implications among high-ability and average-ability students.

This study examined the development of math self-concept during the transition to secondary school comparatively among high-ability and average-ability students in a largescale longitudinal sample in Flanders, Belgium (N = 5740 students; 49.5% males). Latent change models revealed that high-ability students, although maintaining higher relative levels of math self-concept, experienced steeper levels of math self-concept decline in the transition to secondary school than their average-ability peers, according to students' reports. Cognitive ability, measured with standardized intelligence tests, predicted steeper math self-concept decline within both ability groups, and in both groups stronger math self-concept decline was associated with (a) higher levels of teacher-reported underachievement in Grade 7 (r2 = 0.13, p < .001), (b) lower standardized math achievement in Grade 11 (r2 = 0.49, p < .001), (c) lower student-reported school well-being in Grade 7 (r2 = 0.13, p < .001) and Grade 11 (r2 = 0.04, p < .001), and (d) higher risk of grade repetition by the end of secondary school (r2 = 0.11, p < .001). These findings establish that the level of math self-concept and the degree in decline in math self-concept can have negative implications for educational outcomes, even when math self-concept level remains high relative to peers.

Kids these days and kids those days: Investigating perceptions of children's social skills from 1988 to 2007.

Behavior rating scales are frequently used assessment tools designed to measure social skills. Use of norm-referenced assessments such as behavior rating scales requires examiners and test publishers to consider when norms become obsolete and norm-referenced scores can no longer be validly interpreted. A fundamental factor influencing norm obsolescence regards changes in baseline levels of targeted traits within the population. Yet, limited research exists regarding how social skills may change at a population level over time as measured by established assessment tools. Thus, the present study investigates population trends in social skills of K-12 children as rated by parents, teachers, and students by concordantly linking the Social Skills Rating System (SSRS; nparent = 833, nteacher = 1215, nstudent = 4105) and the Social Skills Improvement System-Rating Scales (SSIS-RS; nparent = 2400, nteacher = 750, nstudent = 800) using validity samples collected during the development of the SSIS-RS (nparent = 240, nteacher = 221, nstudent = 224). Analyses evaluated differences between ratings on the standardization data from 1988 and 2007 by informant, sex, grade level, and sex by grade level. After applying linear linking techniques, we conducted a series of statistical comparisons that revealed a general upward trend of ratings for the 2007 sample compared to the 1988 sample, with important differences across sex, grade level, and informant. We conclude with a discussion of the implications of these findings for consideration and assessment of children's social skills.

The relational side of teachers' self-efficacy: Assimilation and contrast effects of classroom relational climate on teachers' self-efficacy.

Although much is known about the sources of teachers' self-efficacy (TSE), less attention has been paid to the social-contextual specificity of TSE and the processes influencing the relevance of TSE information sources. This study investigated both dyad-level relationships and the classroom relational climate as predictors of TSE at the student and classroom level. Additionally, we explored two competing hypotheses-assimilation and contrast-articulating how teachers use information conveyed by classroom relationship experiences as a heuristic to interpret relationship experiences with individual students as a TSE source. Elementary school teachers (N = 86; 72.05% female) completed the Student-Teacher Relationship Scale and Student-Specific Teacher Self-Efficacy Scale for randomly selected children (N = 687, 50.1% girls, Grades 3-6) from their classes. Doubly latent multilevel structural equation modeling was used to test for associations of Closeness and Conflict with TSE at both the student (L1) and classroom level (L2). Contextual effects, corresponding to associations of classroom-level Closeness and Conflict with TSE above the same associations at the student level, were calculated to test assimilation and contrast hypotheses. At L1, results indicated positive associations between Closeness and TSE and negative associations between Conflict and TSE. At L2, only Conflict was negatively associated with TSE. Consistent with the contrast hypothesis, the contextual effect of Closeness, but not Conflict, was negative and significant. Hence, teachers' judgments of a relatively close classroom relational climate may lead them to perceive relational closeness with individual students in a more negative light, resulting in lower levels of TSE toward these students.

Are student engagement and disaffection important for teacher well-being? A longitudinal examination of between- and within-person effects.

Although a lot is known about how teachers influence student motivation, evidence on the importance of student engagement for teacher well-being is lacking. In addition, studies investigating the effects of student behavior on teachers have mostly focused on the between-person perspective while neglecting the within-person processes. Thus, in the present study, we examined longitudinal associations between perceived student behavioral and emotional engagement and disaffection and teacher well-being (i.e., job satisfaction and emotional exhaustion) by acknowledging their fluctuating nature and investigating the associations at both the between- and within-person levels. Specifically, we conducted a full-panel four-wave longitudinal study involving 1141 secondary school teachers and employed a random-intercept cross lagged panel modeling approach to analyze the data. At the between-person level, teachers who perceived their students as being more emotionally and behaviorally engaged, but less emotionally and behaviorally disaffected, tended to have higher levels of job satisfaction and lower levels of emotional exhaustion. At the within-person level, higher than usual levels of student emotional engagement were concurrently associated with higher than usual levels of job satisfaction and lower than usual levels of emotional exhaustion, whereas the associations concerning disaffection showed the opposite pattern. Regarding the longitudinal spill-over effects at the within-person level, behavioral and emotional engagement positively predicted job satisfaction whereas behavioral disaffection negatively predicted job satisfaction and positively predicted emotional exhaustion. Our results highlight the importance of student motivation for shaping teacher occupational well-being and indicate that efforts aimed at increasing student motivation could also be beneficial to teachers.

Targeting ethnic-racial identity development and academic engagement in tandem through curriculum.

Schools play an integral role in adolescents' learning and understanding of their ethnic-racial identity (ERI); however, the extant research offers a limited understanding of how specific educator practices can inform adolescents' ERI development, and in turn, their academic adjustment. Accordingly, the present study utilized 30 interviews with Latinx, White, Asian American, and Multiracial eighth grade students (N = 16; Mage = 13.25 years, SD = 0.45; 75% girls, 25% boys) and their English teacher to illustrate the processes by which an ERI-focused unit informed students' ERI developmental processes and their academic engagement (i.e., behavioral, cognitive, and emotional). Results from iterative causation coding indicated that (a) the unit promoted ERI development by facilitating conversations with family, offering dedicated time for ERI exploration, and facilitating personal and literary ERI exploration in tandem; (b) the unit's focus on ERI development encouraged students' emotional, cognitive, and behavioral academic engagement; and (c) the unit also encouraged students' emotional, cognitive, and behavioral academic engagement by leveraging book selections centering ethnoracially minoritized youth, critical consciousness raising, and class community building. Our findings offer implications for future research and school-based efforts looking to positively support adolescents' ERI development. Our findings also provide insights regarding the role of the predominately White school context in students' experiences with the unit, namely, the role of the context in some students' occasional disengagement with the material.

Teacher support in language learning: a picture of the effects on language progress, academic immunity, and academic enjoyment.

Teacher support encompasses the provision of educational, instrumental, sentimental, or evaluative assistance by a teacher to a student, regardless of the setting. Learning a new language brings with it different ups and downs that may hinder the actual progress of the learners. The journey of learning may be made easier by supportive instructors. During the course of this inquiry, two groups (85 participants in total) including the experimental and control groups were chosen to gauge the influence of Teacher support in virtual instruction on English as a foreign language (EFL) learners' progress, academic immunity, and academic enjoyment. In contrast to the experimental group (EG, n = 42), which had the chance to connect with a teacher in order to ask questions and get feedback plus the off-line education, the control group (CG, n = 44) was subjected to off-line instruction of language input (Top Notch 3). The status of the participants' language growth, immunity, and enjoyment was investigated both before and after the treatment. The findings of independent samples t-tests as well as the multivariate analysis of variance (MANOVA) indicated that learners in EG did much better than their counterparts in CG. In addition, the ramifications and recommendations for potential future directions are analyzed.

The development and validation of the teacher professional identity scale in a Chinese university context.

Professional identity has become a central topic in teacher education research and a crucial factor in shaping teachers' self-perception and perspectives on various aspects of their profession, including teacher roles, scholarly research, curriculum design, classroom instruction, instructional methods, and strategies, as well as their interactions within the educational context. Despite the considerable scholarly interest in teacher identity development, relatively few studies have considered how to measure teacher professional identity. This study developed and validated a new measurement of professional identity among Chinese pre-service teachers from an English language education program. A total of 560 pre-service teachers majoring in English language education were invited to participate in a survey and 542 questionnaires were deemed valid and subjected to analysis. Through this analysis, a scale with 17 items was developed, focusing on three different dimensions: professional self-efficacy, career commitment, and professional knowledge. After excluding items with a relatively poor correlation with factor loading, the final scale consisted of 13 items. The results showed that the developed scale has relatively good reliability (α = 0.939) and structural validity (χ2/df = 2.46, p < .001, CFI = 0.978, TLI = 0.971, SRMR = 0.033, RMSEA (90% CI) = 0.071 0.054, 0.089). This study may provide a quantitative instrument for future research to measure professional identity among pre-service teachers, both in Chinese and other contexts.

I feel blue- teacher, can you help me? A study on the effect of digital literacies on language learners' technostress, on-line engagement, autonomy, and academic success.

This phenomenological study explored the experiences of language learners in the digital age, specifically investigating the intersection of digital literacy, technostress, online engagement, autonomy, and academic success. Twenty participants, selected through purposive sampling, shared Chinese as their native language and were between 18 and 20 years old, with five participants being female. Employing interviews and document analysis, the study aimed to understand the subjective meanings, emotions, and perceptions associated with these phenomena. The findings revealed the multifaceted nature of technostress, the crucial role of digital literacy in shaping online engagement and autonomy, and the nuanced impact on academic success. These qualitative insights contribute to a deeper understanding of the complex relationships in the digital language learning landscape. The study has implications for educators, materials developers, syllabus designers, and policy-makers, providing practical insights to enhance language learning experiences in the digital era. Future research may further explore specific dimensions uncovered in this study to adapt educational practices to the evolving digital terrain.

The classroom as laboratory: A theoretical grounding of the intentional emergence framework for leadership development.

Leadership development, like other professional areas such as medicine, teaching, and law, requires students to become as adept at practicing leadership as they are at understanding the theory behind it. For example, K-12 teachers have student teaching, medical students have residencies, cadavers, and virtual reality-but where is the learning laboratory for leadership? The intentional emergence (IE) pedagogy provides a framework for instructors and learners that both honors the role of the instructor as a goal/outcome-setter while also embracing the complexities of the leadership development space as a living laboratory and practice field for leadership. Additionally, IE attempts to bring unconscious and default behaviors to the foreground so that critical components of leadership development such as power, privilege, and identities can be seen and included.

Challenges faced by teachers of postgraduate health professions blended learning programs: a qualitative analysis.

INTRODUCTION: Blended learning, which integrates classroom face-to-face teaching with both asynchronous and synchronous online learning elements, has swiftly gained acceptance in educational environments. However, the implementation of blended learning presents challenges that impact all stakeholders, necessitating thoughtful consideration. Teachers play a central role in shaping the instructional experience among these stakeholders. To fully realize the potential of comprehensive blended learning, it is imperative to identify the challenges faced by these teachers and develop strategies that sensibly address and overcome them. METHODOLOGY: A qualitative exploratory study was conducted with twelve teachers involved in the postgraduate blended learning health professions program at Khyber Medical University, Peshawar in 2022. One-on-one semi-structured Interviews were conducted via WhatsApp/ZOOM, transcribed by Otter AI, coded on NVivo & analyzed using Braun/Clarke's Thematic Analysis. RESULTS: Three themes of challenges faced by teachers of postgraduate blended learning programs were constructed namely (1) Skills, such as (i) digital, (ii) instructional, and (iii) online class management, and (2) Administrative barriers in terms of (iv) resources (iv) training, and (3) Faculty resistance. CONCLUSION: This study provides profound insights into the daunting challenges that postgraduate blended learning program teachers encounter in terms of skills, administrative barriers, and faculty resistance. These findings offer a valuable opportunity for program directors to identify the critical requirements of these faculties in their pursuit of effective teaching and learning, ultimately transforming the landscape of blended education. This study emphasizes the need for ongoing faculty development and institutional support to address the identified challenges and improve the quality of postgraduate blended-learning programs.