Comparison of the Effects of E-learning Blended with Collaborative Learning and Lecture-Based Teaching Approaches on Academic Self-Efficacy among Undergraduate Nursing Students: A Quasi-Experimental Study.

Introduction: Applying new technologies in teaching has led to the phenomenon of blended learning (BL), which is currently flourishing as a specific requirement for higher self-efficacy and success in increasingly complex healthcare environments. Although various forms of novel education are on the rise worldwide, the effects of electronic learning (EL), combined with collaborative learning (CL) and lecture-based teaching (LBT) approaches, have not yet been validated on academic self-efficacy among undergraduate nursing students. Methods: Utilizing a pre-/post-test comparison-group design, this quasi-experimental study was conducted on 70 undergraduate nursing students of Urmia University of Medical Sciences, Urmia, Iran, selected by the census sampling technique in 2020. The eligible participants were allocated to intervention groups, viz., the EL+LBT group (n=34) and the EL+CL group (n=36). A learning management system (LMS) was used for both intervention groups along with the LBT approach, and then 10 steps were integrated into the CL approach during 14 sessions, lasting 150 minutes. Afterward, a demographic information form and the College Academic Self-Efficacy Scale (CASES) were administered to collect the data. The data were analyzed using descriptive statistics, Chi-square test, independent-samples t-test, and analysis of covariance (ANCOVA). Results: No significant difference was observed in the CASE scores between the students were taught using the EL+LBT (113.76±16.98) and the EL+CL approaches (107.66±16.70) before the interventions (P=0.136). However, the CL+EL approaches resulted in the highest changes in the CASE scores at the pre- (107.66±16.70) and post-test (119.08±25.49) stages (P=0.019). Moreover, the female students attending the CL+EL classrooms experienced significantly positive differences in their CASE scores (127.12±30.34), compared to the males (112.65±19.30) (P=0.011). Conclusion: Blending the EL and CL approaches significantly promoted CASE among the undergraduate nursing students in this study by providing sufficient collaboration, essential educational equipment, and better technical support.

Is everything everywhere? A hands-on activity to engage undergraduates with key concepts in quantitative microbial biogeography.

The ubiquity and ease with which microbial cells disperse over space is a key concept in microbiology, especially in microbial ecology. The phenomenon prompted Baas Becking's famous "everything is everywhere" statement that now acts as the null hypothesis in studies that test the dispersal limitation of microbial taxa. Despite covering the content in lectures, exam performance indicated that the concepts of dispersal and biogeography challenged undergraduate students in an upper-level Microbial Ecology course. Therefore, we iteratively designed a hands-on classroom activity to supplement the lecture content and reinforce fundamental microbial dispersal and biogeography concepts while also building quantitative reasoning and teamwork skills. In a class period soon after the lecture, the students formed three-to-five-person teams to engage in the activity, which included a hands-on dispersal simulation and worksheet to guide discussion. The simulation involved stepwise neutral immigration or emigration and then environmental selection on a random community of microbial taxa represented by craft poms. The students recorded the results at each step as microbial community data. A field guide was provided to identify the taxonomy based on the pom phenotype and a reference to each taxon's preferred environmental niches. The worksheet guided a reflection of student observations during the simulation. It also sharpened quantitative thinking by prompting the students to summarize and visualize their and other teams' microbial community data and then to compare the observed community distributions to the idealized expectation given only selection without dispersal. We found that the activity improved student performance on exam questions and general student satisfaction and comfort with the biogeography concepts. Activity instructions and a list of needed materials are included for instructors to reproduce for their classrooms.

Dataset of mathematics learning and assessment of higher education students using the MathE platform.

Higher education institutions are promoting the adoption of innovative methodologies and instructional approaches to engage and promote personalized learning paths to their students. Several strategies based on gamification, artificial intelligence, and data mining are adopted to create an interactive educational setting centred around students. Within this personalized learning environment, there is a notable boost in student engagement and enhanced educational outcomes. The MathE platform, an online educational system introduced in 2019, is specifically crafted to support students tackling difficulties in comprehending higher-education-level mathematics or those aspiring to deepen their understanding of diverse mathematical topics - all at their own pace. The MathE platform provides multiple-choice questions, categorized under topics and subtopics, aligning with the content taught in higher education courses. Accessible to students worldwide, the platform enables them to train their mathematical skills through these resources. When the students log in to the training area of the platform, they choose a topic to study and specify whether they prefer basic or advanced questions. The platform then selects a set of seven multiple-choice questions from the available ones under the chosen topic and generates a test for the student. After completing and submitting the test, the answers are recorded and stored on the platform. This paper describes the data stored in the MathE platform, focusing on the 9546 answers to 833 questions, provided by 372 students from 8 countries who use the platform to practice their skills using the questions (and other resources) available on the platform. The information in this paper will help research about active learning tools to support the improvement of future education, especially at higher educational level. Furthermore, these data are valuable for understanding student learning patterns, assessing platform efficacy, gaining a global perspective on mathematics education, and contributing to the advancement of active learning tools for higher education.

Enhancing human-human musical interaction through kinesthetic haptic feedback using wearable exoskeletons: theoretical foundations, validation scenarios, and limitations.

In this perspective paper, we explore the use of haptic feedback to enhance human-human interaction during musical tasks. We start by providing an overview of the theoretical foundation that underpins our approach, which is rooted in the embodied music cognition framework, and by briefly presenting the concepts of action-perception loop, sensorimotor coupling and entrainment. Thereafter, we focus on the role of haptic information in music playing and we discuss the use of wearable technologies, namely lightweight exoskeletons, for the exchange of haptic information between humans. We present two experimental scenarios in which the effectiveness of this technology for enhancing musical interaction and learning might be validated. Finally, we briefly discuss some of the theoretical and pedagogical implications of the use of technologies for haptic communication in musical contexts, while also addressing the potential barriers to the widespread adoption of exoskeletons in such contexts.

Investigating Linguistic Alignment in Collaborative Dialogue: A Study of Syntactic and Lexical Patterns in Middle School Students.

Linguistic alignment, the tendency of speakers to share common linguistic features during conversations, has emerged as a key area of research in computer-supported collaborative learning. While previous studies have shown that linguistic alignment can have a significant impact on collaborative outcomes, there is limited research exploring its role in K-12 learning contexts. This study investigates syntactic and lexical linguistic alignments in a collaborative computer science-learning corpus from 24 pairs (48 individuals) of middle school students (aged 11-13). The results show stronger effects of self-alignment than partner alignment on both syntactic and lexical levels, with students often diverging from their partners on task-relevant words. Furthermore, student self-alignment on the syntactic level is negatively correlated with partner satisfaction ratings, while self-alignment on lexical level is positively correlated with their partner's satisfaction.

Collaborative Modality Fusion for Mitigating Language Bias in Visual Question Answering.

Language bias stands as a noteworthy concern in visual question answering (VQA), wherein models tend to rely on spurious correlations between questions and answers for prediction. This prevents the models from effectively generalizing, leading to a decrease in performance. In order to address this bias, we propose a novel modality fusion collaborative de-biasing algorithm (CoD). In our approach, bias is considered as the model's neglect of information from a particular modality during prediction. We employ a collaborative training approach to facilitate mutual modeling between different modalities, achieving efficient feature fusion and enabling the model to fully leverage multimodal knowledge for prediction. Our experiments on various datasets, including VQA-CP v2, VQA v2, and VQA-VS, using different validation strategies, demonstrate the effectiveness of our approach. Notably, employing a basic baseline model resulted in an accuracy of 60.14% on VQA-CP v2.

Defining Learning Communities in the Veterinary Medicine Curriculum.

Learning communities (LCs) are a type of high-impact, collaborative educational practice where students cooperate with other students in two or more classes to improve learning. Additional criteria used for defining LCs vary across the literature and have focused on high school and undergraduate programs. Similar benefits may also be experienced in professional programs; however, before further studies can investigate and describe these benefits, the structure for LCs in the veterinary curriculum must first be defined. To accomplish this, a survey instrument was developed and distributed to veterinary students attending Iowa State University College of Veterinary Medicine during the 2019 to 2020 academic year. The survey focused on a number of criteria and included both qualitative and quantitative questions. Criteria included demographics, prior experiences, and structure of an ideal LC. Recurring themes in the qualitative responses were identified, reviewed, and categorized based on an established coding theme. Significant correlations included an association between respondents' opinions on the ideal number of people in a LC and prior participation in LCs; age and preference for LC focus; ideal number of LC members and LC focus; and gender identity and thoughts on LC diversity. Based on the survey results, the typical veterinary student would consider an ideal LC to (1) be selected by the students of the LC, (2) have faculty mentors, (3) have a focus on coursework with some social aspects, (4) have fewer than seven members, (5) be composed of friends, (6) meet both during and after class, and (7) be diverse.

The Daily Fact Pile: Exploring Mutual Microlearning in Neurology Resident Education.

Problem: A significant proportion of learning during residency takes place through informal channels. Spontaneous collaboration among medical learners significantly contributes to this informal learning and is increasingly recognized as a component of the hidden curriculum in medical education. Yet historically, a disproportionate emphasis in medical education has been placed on didactic, structured, and faculty-initiated methods, leaving an important force in medical education understudied and underutilized. We hypothesize that there is significant educational potential in studying and deploying targeted tools to facilitate collaboration among medical learners. Intervention: At our institution, neurology residents implemented the "Daily Fact Pile" (DFP), a resident-led, email-based collaboration that served as a platform to share clinical pearls in an informal, digital way. Participation was voluntary and participants were encouraged to share facts that were new to them and thought to be clinically relevant. Motivated by the positive collective experience, we conducted a retrospective examination of this phenomenon. In this context, we developed the concept of "mutual microlearning" to characterize this efficient, multidirectional exchange of information. Context: Thirty-six residents in a single neurology residency program utilized the DFP at a large university hospital in the USA between 2018 and 2019. After 21 months of spontaneous and voluntary participation, we assessed the feasibility of the DFP, its impact on the education and morale of neurology residents, and compared its mutual microlearning approach to traditional lectures. This was done through a survey of the DFP participants with a response rate of 80.7%, and analysis of the statistics of participation and interaction with the DFP. Impact: Most participants felt that the DFP was beneficial to their education and thought they often or always learned something new from reading the DFP. The impact of the DFP extended beyond education by improving interest in neurology, morale, and sense of teamwork. The DFP was feasible during neurology residency and participation was high, though participants were more likely to read facts than share them. Lessons learned: Mutual microlearning represents an opportunity to augment residents' education, and well-designed mutual microlearning tools hold promise for complementing traditional teaching methods. We learned that efficiency, ease of use, and a supportive, non-judgmental environment are all essential to the success of such tools. Future research should delve deeper into the underlying mechanisms of mutual microlearning to establish its position within the theoretical frameworks of medical education.

Global attention based GNN with Bayesian collaborative learning for glomerular lesion recognition.

BACKGROUND: Glomerular lesions reflect the onset and progression of renal disease. Pathological diagnoses are widely regarded as the definitive method for recognizing these lesions, as the deviations in histopathological structures closely correlate with impairments in renal function. METHODS: Deep learning plays a crucial role in streamlining the laborious, challenging, and subjective task of recognizing glomerular lesions by pathologists. However, the current methods treat pathology images as data in regular Euclidean space, limiting their ability to efficiently represent the complex local features and global connections. In response to this challenge, this paper proposes a graph neural network (GNN) that utilizes global attention pooling (GAP) to more effectively extract high-level semantic features from glomerular images. The model incorporates Bayesian collaborative learning (BCL), enhancing node feature fine-tuning and fusion during training. In addition, this paper adds a soft classification head to mitigate the semantic ambiguity associated with a purely hard classification. RESULTS: This paper conducted extensive experiments on four glomerular datasets, comprising a total of 491 whole slide images (WSIs) and 9030 images. The results demonstrate that the proposed model achieves impressive F1 scores of 81.37%, 90.12%, 87.72%, and 98.68% on four private datasets for glomerular lesion recognition. These scores surpass the performance of the other models used for comparison. Furthermore, this paper employed a publicly available BReAst Carcinoma Subtyping (BRACS) dataset with an 85.61% F1 score to further prove the superiority of the proposed model. CONCLUSION: The proposed model not only facilitates precise recognition of glomerular lesions but also serves as a potent tool for diagnosing kidney diseases effectively. Furthermore, the framework and training methodology of the GNN can be adeptly applied to address various pathology image classification challenges.

Supporting each other towards independence: A narrative analysis of first-year nursing students' collaborative process.

Collaboration for nursing is a core competence and therefore educational interventions are essentials for collaborative skills. To identify such interventions, we carried out a study to understand nursing students' collaborative process. A narrative inquiry method was used to explore the collaborative process of first-year undergraduate nursing students. The analysis was conducted on field notes from 70 h of observation of 87 nursing students' collaboration during skills lab activities. It also included transcriptions of four focus group discussions with 11 students. The results are presented as a sequential process of (1) navigating in unfamiliar territory, (2) navigating together to cope, and (3) navigating together towards independency and the future nursing profession. We identified a transition from teacher-led assistance and guidance to student interdependency and reciprocal learning, ending with student-led assistance supporting independency. In line with Vygotsky's theory of zone of proximal development, different scaffolding interventions are needed depending on where the students are in the collaborative process.

[High interaction potential of online-only courses with breakout sessions-results of a pilot study]. / Hohes Interaktionspotenzial volldigitaler Lehrveranstaltungen mit Breakout-Sessions ­ Ergebnisse einer Pilotstudie.

BACKGROUND: The flipped classroom (FC) is nowadays a popular principle of blended student-centered learning. Students first prepare basic knowledge at home and subsequently meet for consolidation and a more in-depth look at a certain topic. During the COVID-19 pandemic, several groups developed approaches to also transform the characteristic FC second session into an online-only format. OBJECTIVE: Herein, we present a pilot study on establishing an online-only FC format with elements of collaborative learning and its evaluation by medical students. MATERIALS AND METHODS: The FC design related to diseases of the salivary glands was transformed into an online-only event. After studying the basic information online, supported by self-made interactive videos and/or lecture recordings, students met in a video conference enriched by breakout sessions, interactive demonstration of the related clinical examination including ultrasound, and a formative assessment. A questionnaire with 27 items was answered by participants to evaluate the concept and the event. RESULTS: Use of common hard- and software systems led to a technically stable video conference. A total of 55 students completed the questionnaire and were included into data analysis. During the breakout sessions, lively interaction between participants was observed. The evaluation of both the event itself and the related learning progress showed good results despite the lack of preparation beforehand in 27% of participants. CONCLUSION: Online-only FC designs can result in high satisfaction. High quality of online preparation, a solid technical platform, accurate time management, and a reasonable selection of topics are the main parameters contributing to successful course design. Nowadays, embedding medical imaging can be realized in appropriate quality for educational purposes. The implementation of breakout sessions and voting tools enables collaborative online learning with high levels of interaction and satisfaction for both teachers and students.

Mapping the educational Frontier: Unleashing the Potential of artificial intelligence talents through cooperative planning in the Guangdong-Hong Kong-Macao greater bay area.

The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) has become an important hub for technological innovation and economic development in China. With the growing demand for artificial intelligence (AI) and big data technology talents, it is essential to develop educational cooperation within the GBA to develop a talent pool that can meet the changing needs in the region. This paper focuses on the development of dynamic demand for AI talents and proposes a strategic planning framework for educational cooperation in the GBA. We use the research idea of common attributes and key chain clustering-factor association selection-analysis of the driving force and subordination among factors-the key characteristics of AI talents. Using collinear analysis of citations and grounded theory methods, an operational definition of the influencing factors of AI talent literacy characteristics is constructed. Using the Interpretative Structural Modeling(ISM) and MICMAC (Matrice d'Impacts Croises-Multipication Applique A Classement), analyze and identify the driving force and subordination of the influencing factors of key traits of talents, and present the combined effect of multi-level factors of key traits of talents. Combined with the educational differences and complementary advantages in the GBA, five strategies and seven implementation suggestions for the GBA's AI talent education cooperation plan are formulated to establish a collaborative ecosystem that promotes the growth and integration of AI in the GBA.

Recommendations for successful involvement of patient partners in complex intervention research: a collaborative learning process.

BACKGROUND: Patient and public involvement in health-related research is a new discipline in Denmark. In 2021, a national conference titled 'Patient and Public Involvement in Complex Intervention Research' provided a forum for discussion between patient partners, researchers and clinicians on involving patients as partners in complex intervention research. METHODS: We aimed to describe specific challenges to and initiatives for patient partner involvement in order to develop recommendations for creating successful partnerships in complex intervention research. Through a collaborative learning process, 140 researchers identified the most important challenges for them in patient partner involvement and potential initiatives to improve such involvement. At a subsequent workshop, four patient partners identified the challenges and initiatives from their perspective as patient partners. They also gave feedback on the challenges and initiatives suggested by the researchers and helped shape three recommendations for practice. Three of the patient partners were involved in writing this paper. RESULTS: The five most important challenges identified by researchers were time, recruitment, ethics, power and inequality. Between four and seven initiatives to overcome these challenges were suggested. The three most important challenges identified by patient partners were communication, when you get information that is hard to handle and recruitment. They suggested three to four initiatives for improvement. Patient partners confirmed the importance of all the researcher identified challenges when presented with them, they also provided additional comments on the researchers' initiatives. This led to the formation of recommendations for involving patient partners. CONCLUSIONS: A collaborative learning process was shown to be a suitable method for patient partner involvement. Consistency was seen between the challenges and initiatives identified by researchers and patient partners. Based on these observations, three recommendations were developed: (1) create specific programmes that aim to involve all kind of patients (including but limited to vulnerable patients) as patient partners, (2) produce ethical guidelines for the involvement of patient partners, and (3) develop a national strategy for patient partner involvement. To build on these recommendations, a joint workshop with both researchers and patient partners is needed.

Involving patients in complex intervention research is new in Denmark, so there is a need to work out how to do it properly. In 2021, a national conference about this was arranged. There, two workshops were held with 70 complex intervention researchers in each. In the workshops, challenges and steps needed to bring patient partners into complex intervention research were identified. Later, a similar workshop was organized with four patient partners. Their views were similar to what was concluded at the earlier workshops. All challenges and steps to overcome these were discussed between patients and researchers at the last workshop. This resulted in the development of three recommendations to successfully involve patient partners into complex intervention research: (1) create programmes to involve patients who might otherwise be missed as patient partners, (2) produce ethical guidelines for involving patient partners in complex intervention research, and (3) develop a national plan for involving in patient partners.

Local Ecological Learning: Creating Place-based Knowledge through Collaborative Wildlife Research on Private Lands.

Wildlife across all land tenures is under threat from anthropogenic drivers including climate change, invasive species, and habitat loss. This study focuses on private lands, where effective management for wildlife conservation requires locally relevant knowledge about wildlife populations, habitat condition, threatening ecological processes, and social drivers of and barriers to conservation. Collaborative socio-ecological research can inform wildlife management by integrating the place-based ecological and social knowledge of private landholders with the theoretical and applied knowledge of researchers and practitioners, including that of Traditional Owners. In privately-owned landscapes, landholders are often overlooked as a source of local ecological knowledge grounded in learning through continuous embodied interaction with their environment and community. Here we report on WildTracker, a transdisciplinary socio-ecological research collaboration involving 160 landholders in Tasmania, Australia. This wildlife-focused citizen science project generated and integrated local socio-ecological knowledge in the research process. The project gathered quantitative and qualitative data on wildlife ecology, land management practices, and landholder learning via wildlife cameras, sound recorders, workshops, questionnaires, and semi-structured interviews. Through this on-going collaboration, landholders, researchers, and conservation practitioners established relationships based on mutual learning, gathering and sharing knowledge, and insights about wildlife conservation. Our project documents how local ecological knowledge develops and changes through everyday processes of enquiry and interaction with other knowledge holders including researchers and conservation practitioners. Qualitative insights derived from the direct experience and citizen science practices of landholders were integrated with quantitative scientific assessments of wildlife populations and habitat condition to produce a novel model of collaborative conservation research.

Assessment of a virtual disaster preparedness and response simulation compared to previous in-person iterations: successful translation of the Penndemic framework.

Collaborative learning has documented benefits. Restrictions because of the COVID-19 pandemic prevented in-person collaborative experiences, therefore creating a pathway for online ones. An inter-university team previously created and published a novel framework that fosters collaborative learning for emergency/disaster preparedness and uses scenarios that attract student participation from a spectrum of disciplines. Here, we detail the implementation and evaluation of this framework in a virtual setting. Analysis of pre- and post-surveys from the virtual event revealed similar results to the previous in-person iterations. Results for both in-person and virtual events demonstrated that students had higher confidence and interest in emergency/disaster preparedness and interprofessional teamwork after participation. Implementation of this framework in a virtual setting can facilitate a positive student learning experience and inter-university collaboration.

E-learning and research experience exchange in the online setting of student peer mentor network during COVID-19 pandemic and beyond: A laboratory case study.

For close to 2 years, we have witnessed the impacts of the SARS-CoV-2 pandemic on research at several different levels. Among the list, limited access to laboratory-based training for undergraduate students prevented this cohort from gaining exposure to the realities of a research laboratory at a critical time in training when they may have found motivation in this area as a career. COVID exposed a weakness in our training pipeline; an extreme dependency on face-to-face training that threatened to create a void in the research talent needed to replenish the scientific community every year. In the classroom, we witnessed a revolution of e-learning based approaches that could be rapidly implemented based on existing footprints. Out of necessity, our laboratory developed and implemented an e-learning model of an undergraduate peer mentor network that provides a knowledge and experience exchange platform between students with different levels of research experience. Implementation of the platform was to aid students with gaining knowledge in multiple aspects of scientific research and hands-on work in a research laboratory. The collaboration between the students of the network was aimed at not only advancing the theoretical and practical research experience, but also at developing feedback implementation and practicing "soft skills" critical for teamwork and leadership. Herein, we present an overview of the model along with survey responses of the students participating in the peer mentor network. We have found that peer delivery of practical benchwork both via scientific presentations and visualized experiments, reduced the time of training and the amount of staff assistance needed when students returned to the bench. Furthermore, this model accelerated student independence in laboratory work and increased research interest overall. In summary, the model of a peer mentor network has the potential to serve as a training platform and as a customized tool, supplementing research laboratory training at the undergraduate level beyond the pandemic.

Investigating group formation: An experiment on the distribution of extraversion in educational settings.

Group formation plays a crucial role in enhancing collaborative learning experiences. This study investigates the impact of extraversion as a criterion for group formation on collaborative learning outcomes. A total of 180 students participated in the experiment and were assigned to groups that were homogeneously or heterogeneously distributed in terms of extraversion. The groups met weekly and worked on group assignments throughout the semesters. The first hypothesis posed the outcomes to be explainable at the group-level. Surprisingly, the results show that groups with a homogeneous distribution of extraversion reported higher levels of group work satisfaction than those with a heterogeneous distribution, in contrast to the second hypothesis and the group hierarchy theory. These findings emphasize the potential of considering personality traits when forming groups and extend the existing literature on group formation. The study takes a critical stance by addressing normative definitions of leadership. Future research is suggested to further enhance collaborative learning experiences using similar interdisciplinary and experimental methods.

Learning Collaborative Clinical Reasoning in Healthcare Education: An Integrative Review.

BACKGROUND: Collaborative clinical reasoning (CCR) occurs when two or more healthcare professionals reflect and negotiate an issue regarding patient's situation or care. This represents a crucial learning goal that needs to be achieved during healthcare education. PURPOSE: To describe the characteristics of and the pre-conditions for learning collaborative clinical reasoning in healthcare education. METHOD: An integrative review was conducted. A systematic search was carried out in May 2020 (updated in August 2022) in four databases (CINAHL, Pubmed/Medline, Scopus and Eric/EBSCO). Thirty-three peer-reviewed research articles met the inclusion criteria and were included into a data quality appraisal and analysis. The data was analysed with inductive content analysis. RESULTS: The characteristics of learning collaborative clinical reasoning were described using the following categories: 1) the collaborative clinical reasoning learning method 2) the collaborative clinical reasoning learning environment and 3) the collaborative clinical reasoning learners. The pre-conditions for learning collaborative clinical reasoning were described using the following categories: 1) the learning situation when learning collaborative clinical reasoning, 2) interaction when learning collaborative clinical reasoning and 3) clinical context when learning collaborative clinical reasoning. The learning situation includes the pedagogical preparation before the learning of collaborative clinical reasoning. The interaction consists of facilitation, feedback and peer communication during the learning of collaborative clinical reasoning. The clinical context utilized in the learning of collaborative clinical reasoning needs to be realistic and familiar for the students. CONCLUSIONS: The results indicate that interventions enhancing collaboration and clinical reasoning apply a variety of learning methods, however there are certain characteristics of and pre-conditions for learning collaborative clinical reasoning to be considered.

How do enhanced videos support generative learning and conceptual understanding in individuals and groups?

Videos are an increasingly popular medium for supporting learning in various educational settings. Nowadays, newly designed video-based environments contain enhanced tools that allow for specific interactions with video materials (such as adding annotations and hyperlinks) which may well support generative learning and conceptual understanding. However, to exploit the potentials of such enhanced tools, we need to gain a deeper understanding on the learning processes and outcomes that go along with using these tools. Thus, we conducted a controlled laboratory experiment with 209 participants who were engaged in learning a complex topic by using different enhanced video tools (annotations vs. hyperlinks vs. control group) in different social learning settings (individual vs. collaborative learning in dyads). Findings revealed that participants who learned with hyperlinks and participants in collaborative settings created hypervideo products of higher quality than learners in other conditions. Participants who learned with annotations assessed their knowledge gain higher and had higher results in conceptual understanding when they experienced low cognitive load. With our study we contribute new original work to advance cognitive research on learning with enhanced video learning environments. Limitations and recommendations for future research are discussed.

Práticas educacionais colaborativas em saúde mediadas pelas tecnologias da informação e comunicação: uma revisão de literatura / Collaborative educational practices in health mediated by information and communication technologies: a literature review / Prácticas educativas colaborativas en salud mediadas por las tecnologías de la información y comunicación: una revisión de literatura

O objetivo do presente estudo foi identificar elementos estruturantes do processo de trabalho das redes educacionais colaborativas em saúde mediadas por tecnologias de informação e comunicação, assinalando suas características-chave e sua dinâmica de funcionamento. Trata-se de uma revisão de escopo, realiza-da nas bases de dados: Medline, Lilacs e no portal Oasisbr. Foram encontrados 1.499 estudos, dos quais, oito atenderam aos critérios de inclusão. Os resultados da investigação apontam as práticas educacionais colaborativas em saúde mediados por essas tecnologias como processos amplos e complexos, envolvendo a associação de diversos fatores. Destacam-se a dimensão técnico-pedagógica, a gestão estratégica, o gerenciamento do fluxo de informações, os aspectos relacionais, as competências de cada membro e a mediação do processo colaborativo. A integração dos diferentes aspectos da rede traduz um conjunto de desafios para a estruturação dos processos colaborativos que não se limita à pura acumulação cognitiva, mas vincula-se a processos de aprendizagem e desenvolvimento dos sujeitos

The aim of the present study was to identify structural elements of the work process of collaborative educational networks in health, mediated by information and communication technologies, by pointing out its key characteristics and its operating dynamics. This is a scope review, accomplished in the following databases Medline and Lilacs and in the Oasisbr portal. A total of 1.499 studies were found, and eight of them met the inclusion criteria. The search results indicate the collaborative educational practices in health mediated by these technologies as broad and complex processes, involving the association of several factors. The technical-pedagogical dimension, the strategic management, the management of the information flow, the relational aspects, the competencies of each member, and the mediation of the collaborative process are highlighted. The integration of the different aspects of the network translates a set of challenges for the structuring of collaborative processes, which is not limited to pure cognitive accumulation, but is bound to learning processes and to the subjects' development.

El objetivo del presente estudio es identificar elementos estructurantes del proceso de trabajo de las redes educativas colaborativas en salud mediadas por tecnologías de la información y comunicación, señalando sus características claves y su dinámica de funcionamiento. El trabajo presenta una revisión de escopo, realizada en las bases de datos: Medline, Lilacs y en el portal Oasisbr. Fueron encontrados 1.499 estudios, de los cuales ocho cumplieron los criterios de inclusión. Los resultados de la investigación apuntan a las prácticas educativas colaborativas en salud mediadas por estas tecnologías como procesos amplios y com-plejos, que abarcan la asociación de diversos factores. Se destacan la dimensión técnico-pedagógica, la gestión estratégica, el gerenciamiento del flujo de información, los aspectos relacionales, las competencias de cada miembro y la mediación del proceso colaborativo. La integración de los diferentes aspectos de la red traduce un conjunto de desafíos para la estructuración de los procesos colaborativos, que no se limitan a la acumulación cognitiva, sino que se vinculan a los procesos de aprendizaje y desarrollo de los sujetos