Developing an educational "hub": impact of a distance-learning curriculum in a multinational cohort.

PURPOSE: To address a gap in radiation oncology education in low- and middle-income countries (LMICs), we sought to evaluate the effectiveness and generalizability of a refined curriculum on intensity modulated radiotherapy (IMRT) offered to existing radiation therapy (RT) clinics across Africa and Latin America (LATAM) at no cost. METHODS: A curriculum was created based on prior needs assessments and adapted for participating medical physicists, radiation oncologists, radiation therapists, and trainees in LMICs. English-speaking and Spanish-speaking teams of volunteer educators delivered 27 hour-long sessions 1-2 times weekly for 4 months using video conferencing to African and LATAM cohorts, respectively. Pre- and post-course multiple-choice examinations were administered to LATAM participants, and pre- and post-course self-confidence (1-5 Likert-scale) and open-ended feedback were collected from all participants. RESULTS: Twenty-five centers across Africa (13) and LATAM (12) participated, yielding a total of 332 enrolled participants (128 African, 204 LATAM). Sessions were delivered with a mean of 44 (22.5) and 85 (25.4) participants in the African and LATAM programs, respectively. Paired pre and post-course data demonstrated significant (p < 0.001) improvement in knowledge from 47.9 to 89.6% and self-confidence across four domains including foundations (+ 1.1), commissioning (+ 1.3), contouring (+ 1.7), and treatment planning (+ 1.0). Attendance was a significant predictor of change in self-confidence in "high attendance" participants only, suggesting a threshold effect. Qualitative data demonstrates that participants look forward to applying their knowledge in the clinical setting. CONCLUSION: A specialized radiation oncology curriculum adapted for LMIC audiences was effective for both African and LATAM participants. Participant feedback suggests that the refined IMRT course empowered clinics with knowledge and confidence to help train others. This feasible "Hub and Spokes" approach in which a distance-learning course establishes a hub to be leveraged by spokes (learners) may be generalizable to others aiming to reduce global health care disparities through training efforts.

Evaluative study of a MOOC on knowledge translation in five French-speaking countries.

Over the past few years, the RENARD research team has observed a sharp increase in the need for knowledge translation (KT) training. Given the high demand, it has been nearly impossible for the team to provide training entirely in person, and so a massive open online course (MOOC) was developed. Its aim is to promote the use and appropriation of the KT process by practitioners, decision-makers, and others in the public sphere. The goal of this study was to evaluate the MOOC by collecting users' opinions, reactions, appropriation, and practice changes. A qualitative research design was used. Data were collected through semi-structured individual interviews (n = 16) with professionals from Canada, France, and three West African countries (Burkina Faso, Mali, and Senegal) who had taken the MOOC. All interviews were subjected to thematic content analysis. The MOOC content was generally appreciated and reused by the respondents. The results revealed one main motive for completing the course: the immediate opportunity to apply their learning in their practice environments. However, most respondents deplored the lack of interaction among learners and expressed the need for coaching with an instructor to deepen the topics covered during the course. The results also revealed connection and accessibility issues linked to the Internet network and unstable access to electricity in West African countries. The study highlights the potential of MOOCs for the acquisition of knowledge and competencies by KT professionals. Several recommendations and avenues of exploration were formulated to optimize and improve future designs of MOOCs on KT.

Perceived usefulness of medical teachers towards online learning using technology acceptance model.

Objective: To determine medical teachers' acceptance of and attitude towards online learning, and to gather their recommendations about how it can be incorporated in the educational system. METHODS: The mixed method study was conducted at Gujranwala Medical College, Gujranwala, Pakistan, from August 2021 to January 2022, and comprised medical teachers involved in online teaching during the coronavirus disease-2019 pandemic. Quantitative data was gathered using an online questionnaire based on the technology acceptance model. The qualitative component was explored through 2 focussed group discussions. Data was analysed using SPSS 25. RESULTS: Of the 50 teachers, 31(62%) were males and 19(38%) were females. The overall mean age was 42.9±7.9 years, and the mean teaching experience was 10.9±7.9 years. Mean perceived usefulness score was 3.2±0.9 and the mean perceived ease of use score was 3.6±0.6. The mean scores were 3.3±0.9 for intention to use and 3.5±0.7 for attitude towards computer use. There was a strong positive correlation of perceived usefulness with intention to use and attitude towards computer use (p<0.05), while perceived ease of use and intention to use had a strong correlation with attitude towards computer use (p<0.05). There were total 12 participants in focussed group discussions; 2(16.7%) females and 10(83.3%) males with mean age 44.34±5.23 years. A total of 4 major themes were identified. Conclusion: Majority of medical teachers strongly agreed with the acceptance of e-learning, and agreed with its perceived usefulness and perceived ease of use for online learning.

EEG complexity measures for detecting mind wandering during video-based learning.

This study explores the efficacy of various EEG complexity measures in detecting mind wandering during video-based learning. Employing a modified probe-caught method, we recorded EEG data from participants engaged in viewing educational videos and subsequently focused on the discrimination between mind wandering (MW) and non-MW states. We systematically investigated various EEG complexity metrics, including metrics that reflect a system's regularity like multiscale permutation entropy (MPE), and metrics that reflect a system's dimensionality like detrended fluctuation analysis (DFA). We also compare these features to traditional band power (BP) features. Data augmentation methods and feature selection were applied to optimize detection accuracy. Results show BP features excelled (mean area under the receiver operating characteristic curve (AUC) 0.646) in datasets without eye-movement artifacts, while MPE showed similar performance (mean AUC 0.639) without requiring removal of eye-movement artifacts. Combining all kinds of features improved decoding performance to 0.66 mean AUC. Our findings demonstrate the potential of these complexity metrics in EEG analysis for mind wandering detection, highlighting their practical implications in educational contexts.

Using virtual classroom for teaching special needs students in inclusive classrooms during and beyond Covid-19: Teachers' perspectives / Uso del aula virtual para enseñar a estudiantes con necesidades especiales en aulas inclusivas durante y después de la COVID-19: perspectivas de los docentes

Encouraging and continuing inclusive learning environments is important to allow all students to be able to fully participate, engage, and learn. The online learning environment obliges educators to think creative-ly about how to achieve this goal. The aim was to investigate using virtual classroom for teaching special needs students in inclusive classrooms dur-ing and beyond Covid-19 from the perspectives of their teachers. Teachers of special education from integration schools in the middle stage in Mak-kah were targeted. A 15-item survey instrument was developed particular-ly for this research study . Quantitative research is carried out with the aim to investigate using virtual classroom(VC) for teaching special needs stu-dents in inclusive classrooms during and beyond Covid-19 from the per-spectives of their teachers. A survey method was used. Data were collected through a structured self-administered questionnaire, which was based on the technology acceptance model(TAM). Pearson correlation(R) and mul-tiple regression (MRA) were used to analyze data . Results indicated that the BI is positively affected by PU, PEOU. PU, PEOU yielded a coeffi-cient of multiple regression (R) and a multiple correlation square. This shows that a total variance in BI is accounted for by PU, PEOU. In con-clusion, the findings in this study contribute to the literature on TAM and its use in special education in particular.(AU)

Fomentar y continuar con los entornos de aprendizaje inclusivos es importante para permitir que todos los estudiantes puedan participar, comprometerse y aprender plenamente. El entorno de aprendizaje online obliga a los educadores a pensar de forma creativa sobre cómo lograr este objetivo. El objetivo era investigar el uso del aula virtual para enseñar a estudiantes con necesidades especiales en aulas inclusivas durante y después de la COVID-19 desde la perspectiva de sus docentes. La investigación cuantitativa se lleva a cabo con el objetivo de investigar el uso del aula virtual (VC) para enseñar a estudiantes con necesidades especiales en aulas inclusivas durante y después de Covid-19 desde las perspectivas de sus maestros. Se utilizó un método de encuesta. Las variables independientes son la utilidad percibida (PU), la facilidad de uso percibida (PEOU), mientras que la variable dependiente es la intención de comportamiento del estudiante (BI). Los datos fueron recolectados a través de un cuestionario estructurado autoadministrado, que se basó en el modelo de aceptación de tecnología (TAM). Se utilizaron la correlación de Pearson (r) y la regresión múltiple (MRA) para analizar los datos. Los resultados indicaron que el BI se ve afectado positivamente por PU, PEOU. PU, PEOU arrojaron un coeficiente de regresión múltiple (R) y un cuadrado de correlación múltiple. Esto muestra que PU, PEOU explican una variación total en BI.(AU)

Short-term forecasting approach of single well production based on multi-intelligent agent hybrid model.

The short-term prediction of single well production can provide direct data support for timely guiding the optimization and adjustment of oil well production parameters and studying and judging oil well production conditions. In view of the coupling effect of complex factors on the daily output of a single well, a short-term prediction method based on a multi-agent hybrid model is proposed, and a short-term prediction process of single well output is constructed. First, CEEMDAN method is used to decompose and reconstruct the original data set, and the sliding window method is used to compose the data set with the obtained components. Features of components by decomposition are described as feature vectors based on values of fuzzy entropy and autocorrelation coefficient, through which those components are divided into two groups using cluster algorithm for prediction with two sub models. Optimized online sequential extreme learning machine and the deep learning model based on encoder-decoder structure using self-attention are developed as sub models to predict the grouped data, and the final predicted production comes from the sum of prediction values by sub models. The validity of this method for short-term production prediction of single well daily oil production is verified. The statistical value of data deviation and statistical test methods are introduced as the basis for comparative evaluation, and comparative models are used as the reference model to evaluate the prediction effect of the above multi-agent hybrid model. Results indicated that the proposed hybrid model has performed better with MAE value of 0.0935, 0.0694 and 0.0593 in three cases, respectively. By comparison, the short-term prediction method of single well production based on multi-agent hybrid model has considerably improved the statistical value of prediction deviation of selected oil well data in different periods. Through statistical test, the multi-agent hybrid model is superior to the comparative models. Therefore, the short-term prediction method of single well production based on a multi-agent hybrid model can effectively optimize oilfield production parameters and study and judge oil well production conditions.

Fortalecimiento del liderazgo para la gestión educativa en las Américas: una estrategia de investigación-acción / Strengthening leadership for educational management in the Americas: an action research strategy / Fortalecimento da liderança para a gestão educacional na Região das Américas: uma estratégia de pesquisa-ação

[RESUMEN]. La formación de recursos humanos en salud es una preocupación recurrente. El Campus Virtual de Salud Pública (CVSP) es la plataforma educativa de la Organización Panamericana de Salud (OPS) que busca mejorar la accesibilidad a la educación en salud pública, con énfasis en la formación en liderazgo educativo orientado a planificar, implementar y evaluar políticas y acciones educativas. El objetivo de este trabajo es presentar los resultados de una consulta a personas expertas sobre el curso virtual “Liderazgo para la Gestión Educativa en Organizaciones de Salud”, como parte de una estrategia de fortalecimiento de las capacidades de liderazgo para la gestión educativa en las Américas propuesta por el CVPS/OPS. Se realizó un estudio cualitativo de investigación-acción, con una metodología Delphi de dos iteraciones de consultas, una virtual y una presencial, a expertos en gestión educativa en organizaciones de salud. Los resultados muestran la relevancia que adquieren ocho dimensiones de análisis: el perfil de los destinata- rios, las competencias, el enfoque y los contenidos, las actividades, la evaluación del y para el aprendizaje, la adaptabilidad, la implementación y el seguimiento durante y poscurso. La participación de actores de diferentes ámbitos geopolíticos en el diseño e implementación de una propuesta educativa regional promueve la transformación del contexto de aplicación y mejora su potencial adopción. Se destaca el lugar estratégico del curso como catalizador en la conformación y la consolidación de una red integrada de organizaciones para fortalecer el liderazgo educativo en las Américas, y la conveniencia de la estrategia metodológica empleada para mejorar la calidad de la formación de recursos humanos en salud.

[ABSTRACT]. The training of human resources for health (HRH) is a recurring concern. The Virtual Campus for Public Health (VCPH) – the educational platform of the Pan American Health Organization (PAHO) – seeks to improve access to public health education, emphasizing leadership training for teams that plan, implement, and evaluate poli- cies and educational initiatives. The objective of this work is to present the results of a consultation with experts on the virtual course “Leader- ship for Educational Management in Health Organizations”, as part of a PAHO/VCPH strategy to strengthen leadership capacities for educational management in the Americas. A qualitative action-research study was carried out using the Delphi method with two iterations of consultations (one virtual and one in person) with experts in educational management in health organizations. The results show the importance of eight dimensions of analysis: recipient profiles, competencies, approach and contents, activities, evaluation of and for learning, adaptability, implementation, and monitoring during and after the course. The participation of actors from different geopolitical spheres in the design and implementation of a regional educational initiative fosters adaptations in the context of its implementation and improves the likelihood it will be adopted. This course can play a strategic role as a catalyst in the formation and consolidation of an integra- ted network of organizations that strengthen educational leadership in the Americas. This study also highlights the value of the methodological strategy used to improve the quality of HRH training.

[RESUMO]. A formação de recursos humanos em saúde é uma preocupação recorrente. O Campus Virtual de Saúde Pública (CVSP) é a plataforma educacional da Organização Pan-Americana da Saúde (OPAS), que busca melhorar a acessibilidade à educação em saúde pública, com ênfase na formação de lideranças educacio- nais voltadas para o planejamento, a implementação e a avaliação de políticas e ações educacionais. O objetivo deste documento é apresentar os resultados de uma consulta com especialistas sobre o curso virtual “Liderazgo para la Gestión Educativa en Organizaciones de Salud” [Liderança para a Gestão Edu- cacional em Organizações de Saúde], como parte de uma estratégia para fortalecer as capacidades de liderança para gestão educacional na Região das Américas proposta pelo CVPS/OPAS. Foi realizado um estudo qualitativo de pesquisa-ação utilizando o método Delphi com duas rodadas de con- sultas, uma virtual e outra presencial, a especialistas em gestão educacional em organizações de saúde. Os resultados mostram a relevância de oito dimensões de análise: perfil do público-alvo; competências; abordagem e conteúdo; atividades; avaliação de e para as aprendizagens; adaptabilidade; implementação; e acompanhamento durante e após o curso. A participação de atores de diferentes esferas geopolíticas no delineamento e na implementação de uma proposta educacional regional promove a transformação do contexto de aplicação e aumenta seu potencial de adoção. Destaca-se o posicionamento estratégico do curso como catalisador na criação e consolidação de uma rede integrada de organizações para fortalecer a liderança educacional na Região das Américas e a adequação da estratégia metodológica empregada para melhorar a qualidade da formação de recursos humanos em saúde.

Creating Structures to Support Quality Matters Certification Within a School of Nursing.

BACKGROUND: Best practices for online course design aim to improve teaching and learning by emphasizing the relationship between a course's learning outcomes and all other parts of the course, from assessments to technology to student interaction with peers and instructors. The transition and expanded opportunities to online or hybrid learning in nursing education demonstrate the need for quality online learning experiences. METHOD: A university initiative to ensure high quality remote courses focused on expanding Quality Matters (QM) certification of hybrid and online courses, which ensures that a course has been developed according to standards for online learning. RESULTS: Currently, 20 courses within a school of nursing are QM certified with 4 more actively preparing for formal review this academic year. CONCLUSION: This experience can aid schools to develop faculty competencies in evidence-based, online navigation and course design, and systematically improve the online learning experiences for all students. [J Nurs Educ. 2024;63(4):205-211.].

Neurodiversity and cognitive load in online learning: A focus group study.

It is widely accepted that cognitive load plays a crucial role in online learning. However, despite neurodevelopmental conditions being the largest category of qualifying disabilities in education, and the rise of online learning, there is little understanding of the factors impacting cognitive load in online learning for neurodivergent students and how these factors differ from those affecting neurotypical students. This study used qualitative comparison groups with neurotypical and neurodivergent students to examine their experiences of cognitive load in online learning. A sample of 26 university students (14 neurotypical and 12 neurodivergent) participated in focus group discussions. While neurodivergent students reported many similar experiences of cognitive load in online learning compared to their neurotypical peers-such as confusion in navigating the content and technical issues-some difficulties were more present for neurodivergent students-such as transcripts including mistakes and inaccessible content presentation-creating additional barriers in effectively engaging with the educational content. The results suggest that neurotypical and neurodivergent students experience similar challenges, albeit to differing degrees of intensity, and that more research is needed to explore the relationship between neurodiversity and cognitive load in online learning.

Online Learning State Evaluation Method Based on Face Detection and Head Pose Estimation.

In this paper, we propose a learning state evaluation method based on face detection and head pose estimation. This method is suitable for mobile devices with weak computing power, so it is necessary to control the parameter quantity of the face detection and head pose estimation network. Firstly, we propose a ghost and attention module (GA) base face detection network (GA-Face). GA-Face reduces the number of parameters and computation in the feature extraction network through the ghost module, and focuses the network on important features through a parameter-free attention mechanism. We also propose a lightweight dual-branch (DB) head pose estimation network: DB-Net. Finally, we propose a student learning state evaluation algorithm. This algorithm can evaluate the learning status of students based on the distance between their faces and the screen, as well as their head posture. We validate the effectiveness of the proposed GA-Face and DB-Net on several standard face detection datasets and standard head pose estimation datasets. Finally, we validate, through practical cases, that the proposed online learning state assessment method can effectively assess the level of student attention and concentration, and, due to its low computational complexity, will not interfere with the student's learning process.

Expectations, experiences and challenges of nursing students using the virtual learning medium during the COVID-19 pandemic: A descriptive phenomenological study.

BACKGROUND: The COVID-19 pandemic caused several higher educational institutions to switch from traditional face-to-face to virtual learning medium. This abrupt shift came with new expectations, experiences and challenges to nursing/ midwifery students, particularly new users, and even more so when preparation, orientation, and support were lacking or ineffective. The present study therefore aimed at exploring the expectations, experiences and challenges of nursing students using the virtual learning medium during the COVID-19 pandemic. METHODS: This was a descriptive phenomenological design using 12 purposively sampled nursing and midwifery students from a public university in Ghana. With the aid of a semi-structured guide, individual face-to-face interviews were audiotaped, transcribed verbatim at a later time and deductively analyzed into themes using the customer experience execution model. RESULTS: Participants were aged 22-36 years and involved equal number of males and females (n = 6), with majority being Christians (n = 11). Six themes were generated from the study: (1) "Initial thoughts and emotions" described participants initial reactions to the virtual educational medium during the pandemic; (2) "Expectations with the virtual medium" referred to the participants' anticipations regarding the convenience offered by the virtual medium; (3) "Experiences with the virtual medium" depicted the participants' recognition of both positive and negative encounters while using the virtual learning platform; (4) "Evaluation and recommendation" described participants' reports of meeting expectations and recommendations they made to enhance virtual learning; (5) "Challenges and limitations of the virtual medium" typically represented the obstacles encountered by nursing/ midwifery students when they embraced the virtual medium; (6) "Prospects of the virtual medium" referred to participants' views on the future of the virtual medium. CONCLUSION: The study has brought to light that the virtual education environment comes with its own expectations, experiences and challenges to students. Provision of adequate support such as orientation and simulation laboratories by higher education institutions to satisfy students' needs is necessary to enhance nursing education.

Unpacking the mediating role of classroom interaction between student satisfaction and perceived online learning among Chinese EFL tertiary learners in the new normal of post-COVID-19.

Online learning has become increasingly prevalent in the era of digitalization, impacted by both internet penetration and the COVID-19 pandemic. Classroom interaction, as a key factor in evaluating students' learning experience in online settings, has been identified to be associated with their academic achievement. While previous research has underscored the significance of classroom interaction in language learning settings, there is relatively limited research on its relationships with student satisfaction and learning. This research intends to explore classroom interaction and its mediating role in the correlation between student satisfaction and perceived online learning in online contexts. Given this, the paper reports a quantitative-method study that examined how Chinese EFL tertiary students perceived three types of classroom interaction (i.e., learner-learner, learner-instructor, and learner-content), their satisfaction, and its influences on their perceived online learning. Data was collected from 319 Chinese university students through convenience sampling and a self-designed questionnaire, and then analyzed with the help of SPSS. The results showed that: 1) the students had moderately positive perceptions of classroom interaction and online learning, but were neutral about their satisfaction; 2) positive correlations were observed between classroom interaction, student satisfaction, and online learning; and 3) student satisfaction predicted perceived online learning, with classroom interaction partially mediating this relationship. The findings of this research have implications for strengthening the effectiveness of online language teaching in the post-COVID-19 era.

Data-driven analytics for student reviews in China's higher vocational education MOOCs: A quality improvement perspective.

Higher vocational education is the core component of China's national education system and shoulders the mission of cultivating high-skilled and applied talents. The wide application of Massive Open Online Courses (MOOCs) has effectively improved the curriculum system of China's higher vocational education. In the meantime, some MOOCs suffer from poor course quality. Therefore, from the perspective of sustainable course quality improvement, we propose a data-driven framework for mining and analyzing student reviews in China's higher vocational education MOOCs. In our framework, we first mine multi-level student demands hidden in MOOC reviews by combining web crawlers and text mining. Then we use an artificial neural network and the KANO model to classify the extracted student demands, thereby designing effective and sustainable MOOC quality improvement strategies. Based on the real data from China's higher vocational education MOOCs, we validate the effectiveness of the proposed data-driven framework.

Students' perceptions and experiences of an online well-being programme: a phenomenological study protocol.

BACKGROUND: The pandemic has ensued challenges across all sections of the human population such as livelihood and educational changes, which involve the abrupt shift to online learning, immensely affecting the students' well-being. Negative health consequences of e-learning among students stem from the increased demand for new technological skills, productivity, information overload and restriction of students to spend time with their peers. OBJECTIVE: To explore the experiences of the students from the University of Santo Tomas-College of Rehabilitation Sciences (UST-CRS) who participated in the online well-being programme. METHODOLOGY: A phenomenological design will be used to determine the participants' perceptions and experiences. Purposive sampling will be used to recruit 8-10 undergraduate students from UST-CRS ages 18-22 years, who participated in the well-being programme, and completed the study's quantitative counterpart. Semistructured, in-depth questions will be used to conduct a focus group discussion. The transcripts will be analysed using thematic analysis via the NVivo V.12 software. ETHICS AND DISSEMINATION: The study protocol is approved by the UST-CRS Ethical Review Committee (Protocol Number: SI-2022-034 (V.4)). It will be implemented in accordance with the Declaration of Helsinki and the National Ethical Guidelines for Health and Health-Related Research, and Data Privacy Act. Findings will be published in accredited journals and presented in related scientific fora. REGISTRATION ID: PHRR230214-005419; Philippine Health Research Registry.

The effect of a distance education training program on nurse Interns' readiness for distance education and their perceptions of lifelong learning.

AIM: The purpose of this study is to assess the effect of a distance education training program on nurse interns' readiness for distance education and their perceptions of lifelong learning. DESIGN: A quasi-experimental research approach with one-group, pre/post-test was used. METHODS: The study used a quasi-experimental research approach and was carried out at Damanhour University's Faculty of Nursing. A study was carried out on 345 interns' students. All nursing interns enrolled in the 2020-2021 internship training year. The researchers employed a program that contained a distance education readiness assessment as well as a questionnaire about the perceived advantages of lifelong learning. RESULTS: The majority (99.7%) of nurse interns were highly ready for distance education, whereas only 0.3 percent were moderately ready following the training program implementation immediately. In comparison to pre-training, the majority (91.9%) of them were somewhat ready for distance education, while just 7.2 percent were highly prepared. Furthermore, the majority (97.1%) of them had high total skills of distance education after implementation of the training program by 3 months, and 95.4 percent had high total skills of learning immediately after the training program, whereas 26.1% of nurse interns had high total skills before the training program, at p value 0.01.

The impact of student computer competency on e-learning outcomes: A path analysis model of virtual learning infrastructure, collaboration, and access to electronic facilities.

AIM: This study explored the influence of student computer competency on e-learning outcomes among Iranian nursing students and examined its mediating role in the relationship between virtual learning infrastructure, student collaboration, access to electronic facilities, and e-learning outcomes. DESIGN: A cross sectional study. METHOD: A self-administered online survey was used from August to October 2022, with a sample size of 417 nursing students selected through convenience sampling. Descriptive statistics, correlation analyses, and PROCESS macro v4.1 (Model 4) were used for data analysis. RESULTS: The results revealed that virtual learning infrastructure, access to electronic facilities, and student collaboration, significantly predict student computer competency and e-learning outcomes. Virtual learning infrastructure and access to electronic facilities were found to be the strongest predictors of student computer competency, while student collaboration had a smaller but still significant effect. Student computer competency was found to mediate the relationship between virtual learning infrastructure, access to electronic facilities, student collaboration, and e-learning outcomes.

Effect of interactive immediacy on online learning satisfaction of international students in Chinese universities: The chain mediating role of learning interest and academic engagement.

The aim of this study was to investigate the effect of interactive immediacy on online learning satisfaction, and the mediating effect of learning interest and academic engagement on the relationship between interactive immediacy and online learning satisfaction. 2221 international students in Chinese universities participated in the questionnaire survey. The coefficient omega (ω) and the confirmatory factor analysis (CFA) were used to test the reliability and validity. Structural equation modeling (SEM) was used to analyze interactive immediacy, learning interest, and academic engagement on online learning satisfaction of international students in Chinese universities, as well as the mediating effect of learning interest and academic engagement. The results showed that interactive immediacy did not directly influence the online learning satisfaction of international students in Chinese universities. Learning interest and academic engagement played a complete mediating role between interactive immediacy and online learning satisfaction. Meanwhile, interactive immediacy not only affected online learning satisfaction of international students in Chinese universities through learning interest and academic engagement respectively, but also indirectly affected online learning satisfaction through the chain mediating effect of learning interest and academic engagement. The results of Bootstrap showed that the mediating effects in the model were significant. The findings of this study explored the underlying mechanism of international students' online learning satisfaction in Chinese universities, which provided an empirical basis for universities and teachers to improve the effect of online teaching, and integrate online teaching and traditional classroom teaching.

Assessing the Efficacy of a Novel Massive Open Online Soft Skills Course for South Asian Healthcare Professionals.

In healthcare professions, soft skills contribute to critical thinking, decision-making, and patient-centered care. While important to the delivery of high-quality medical care, soft skills are often underemphasized during healthcare training in low-and-middle-income countries. Despite South Asia's large population, the efficacy and viability of a digital soft skills curriculum for South Asian healthcare practitioners has not been studied to date. We hypothesized that a web-based, multilingual, soft skills course could aid the understanding and application of soft skills to improve healthcare practitioner knowledge, confidence, attitudes, and intent-to-change clinical practice.In September 2019 a needs assessment observing soft skills practices was conducted in several Indian states. We developed a communication-focused soft skills curriculum that comprised seven 10-minute video lectures, recorded in spoken English and Hindi. Participants consisted of any practicing healthcare professionals and trainees in select South Asian countries age 18 and over. Participant knowledge, confidence, attitudes, and intent-to-change clinical practice were evaluated using pre- and post-course tests and surveys. Statistical analyses were performed using STATA and SPSS.From July 26, 2021 to September 26, 2021, 5750 registered and attempted the course, 2628 unique participants completed the pre-test, and 1566 unique participants completed the post-test. Participants demonstrated small but statistically significant gains in confidence (𝑝<0.001), attitudes toward course topics relevance (𝑝<0.001), and intent-to-change clinical practice (𝑝<0.001). There was no statistically significant gain in knowledge. A digital soft-skills massive open online course for healthcare practitioners in South Asia could serve as a viable approach to improve the quality of soft skills training in low-to-middle income countries.

Online degree programmes in nurse education-Students' perceptions and academic performance: An integrative review.

OBJECTIVES: The aim of this integrative review is to identify, describe, and synthesise evidence regarding students' perceptions of online degree programmes in nurse education, their academic performance, and the factors associated with their academic performance. DESIGN: Integrative review. DATA SOURCES: Four databases, CINAHL, ERIC (Ebsco), PubMed/MEDLINE, and Web of Science were searched. The reference lists of included studies were reviewed to identify other relevant studies. REVIEW METHODS: Whittemore and Knafl's method was used as a guideline for the integrative review. Peer-reviewed studies describing students' perceptions of-or academic performance in-online degree programmes in nurse education were included in the review without time limitations. The quality of the selected article was assessed using the Mixed Method Appraisal Tool. RESULTS: Nursing students' perceptions of online degree programmes were categorised into enabling career development, content delivered online, and community belonging. Factors related to student's academic performance were associated with individual students and the characteristics of online learning environments. Factors associated with students' academic performance were individual self-direction, formal communication skills, and working and educational backgrounds. Factors associated with academic performance in an online learning environment were categorised into regular feedback and methods for learning. CONCLUSIONS: Online degree programmes in nurse education contribute to developing pedagogy through a satisfactory work-life balance, students' experiences of community and support, pleasant digital content, and various teaching methods by faculties. The study findings of this review have implications for educators to develop and adopt strategies for advancing digital environments with the pedagogy that supports community building to meet the needs of individual students.

The Role of Subjective Socioeconomic Status in Predicting Academic Performance: Exploring the Mediating Influence of Sense of Belonging among Students in a Distance Learning University

Building upon existing research conducted in face-to-face universities, our research explored whether, in the context of a distance learning institution, the positive association between subjective socioeconomic status and academic performance can be explained by students’ sense of belonging. To that end, we conducted a three-wave correlational study with 2,261 students enrolled in Social Psychology in a distance learning university. At the start of the academic year, we measured participants’ subjective socioeconomic status relative to other students alongside their initial expectations in terms of time investment and grades and other relevant covariates. Midway through the course, we assessed their sense of belonging to the university and, at the end, we recorded their grades. Results suggested that sense of belonging potentially serves as a mediating factor in the positive relationship between subjective socioeconomic status and grades even after accounting for variables like initial grade expectations, time commitment, gender, age, and employment situation. These findings emphasize the pivotal role of students’ psychological connection to the university in shaping their academic achievement, even within the expanding landscape of distance education. (AU)