The decline in both the quantity and quality of interaction has emerged as a notable challenge in online learning. However, the definition of interaction quality remains unclear. This study clarifies it as a decrease in the breadth of interaction, which refers to interaction that can only cover a smaller number of learners. To address this, a synchronous interaction modality, termed Multiple Online Interaction (MOI), based on Zoom's interactive tools, was introduced. In a quasi-experiment involving 58 Chinese L2 learners (with 30 beginner and 28 intermediate students), emotions were assessed using the Brief Mood Introspection Scale (BMIS) while real-time emotional dynamics were revealed through the analysis of 5129 facial expression images during a 35-min synchronous class. MOI participants reported higher levels of Lively and Happy but also experienced more Nervous and less Calm. These emotional dynamics, tracked through expression recognition technology, demonstrate that MOI's impact is primarily observed during the first Grammar & Practice section of the teaching. The empirical findings of this study provide practical insights for educators aiming to conduct effective online teaching in the future.
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http://dx.doi.org/10.1016/j.heliyon.2024.e37619 | DOI Listing |
Sci Rep
January 2025
Hangzhou Fancha Technology, Hangzhou, China.
Civic honesty is a crucial behavior that policymakers and business leaders strive to promote among citizens and employees. We conducted online and field experiments in China adapting the setting of a recent research which employed an innovative design to study civic honesty behavior around the globe. Results show that the psychological mechanism underlying lost-wallet reporting behavior in China is somewhat different from what has been suggested in the literature.
View Article and Find Full Text PDFTrends Ecol Evol
January 2025
Department of Marine Sciences, University of the Aegean, Mytilene, 81100, Greece.
Systematic conservation planning (SCP) involves the cost-effective placement and application of management actions to achieve biodiversity conservation objectives. Given the political momentum for greater global nature protection, restoration, and improved management of natural resources articulated in the targets of the Global Biodiversity Framework, assessing the state-of-the-art of SCP is timely. Recent advances in SCP include faster and more exact algorithms and software, inclusion of ecosystem services and multiple facets of biodiversity (e.
View Article and Find Full Text PDFBMJ Open
January 2025
Cardiac Rehabilitation, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Background: This qualitative evaluation was embedded in the Rehabilitation Exercise and psycholoGical support After COVID-19 InfectioN (REGAIN) study, a randomised controlled trial (RCT) for those with post-COVID-19 condition ('long COVID') after hospital admission for COVID-19, comparing weekly home-based, live online supervised group exercise and psychological support sessions with 'best practice usual care' (a single session of advice).
Objective: To increase our understanding of how and why the REGAIN programme might have worked and what helped or hindered this intervention.
Design: A qualitative evaluation which utilised interviews with participants and practitioners delivering the intervention.
Ann Thorac Surg
January 2025
Division of General Thoracic Surgery, Departement of Surgery, University of California Davis Health, Sacramento, CA.
The Society of Thoracic Surgeons General Thoracic Surgery Database (STS GTSD) remains the largest and most comprehensive audited thoracic surgical database in the world. As the STS GTSD grows to nearly 1 million cases, the pulmonary resection for cancer and esophagectomy short-term risk models have been refined to provide participants with benchmarked performance reports to facilitate quality improvement efforts. New for 2025 will be the development of long-term risk models and the online release of both short- and long-term risk calculators.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Learning from data streams that emerge from nonstationary environments has many real-world applications and poses various challenges. A key characteristic of such a task is the varying nature of the underlying data distributions over time (concept drifts). However, the most common type of data stream learning approach are ensemble approaches, which involve the training of multiple base learners.
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