(1) learning efficiency is recognized as the ultimate goal of online education, as it is related to the quality of online education and the cognitive development of students and is influenced by social interactions. This study explores the mediating...
Division of labour, or the differentiation of the individuals in a collective across tasks, is a fundamental aspect of social organisations, such as social insect colonies. It allows for efficient resource use and improves the chances of survival for...
This paper presents two conceptual models that we have developed for understanding ways that social media can support learning. One model relates to the “social” aspect of social media, describing the different ways that people can learn with and fro...
To address the challenge of achieving social learning in support of transformative change to sustainability, this paper develops an analytical framework that applies a social practice theory (SPT) lens to illuminate the constituent elements and dynam...
Social sustainability has for long been either neglected or downplayed in scientific literature and policy making and it remains an unsettled concept. The present paper critically examines several explanations for the unequal development of the socia...
This study aims to examine the relationship between social media addiction and social skill levels of university students from the perspective of social learning systems, systems thinking and social economy. Furthermore, the objective is to reveal ho...
An important aspect of the social sustainability of a proposed solution is acceptance by societal stakeholders. Acceptance is determined by the extent to which the solution matches with stakeholder perspectives on the problem and preferred ways to de...
Emerging sustainability challenges, such as food security, livelihood development and climate change, require innovative and experimental ways of linking science, policy and practice at all scales. This requires the development of processes that inte...
This study explored the potential of using the Internet, including existing social media platforms, for Coptic language learning. Through global exposure, endangered language maintenance and revitalization efforts may benefit from having a presence o...
This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior. Si...
E-learning offers sustainable opportunities for university students by improving educational accessibility and inclusion; however, research exploring learning engagement to ensure continuous learning quality from the perspective of presence remains l...
Social robot navigation in public spaces, buildings or private houses is a difficult problem that is not well solved due to environmental constraints (buildings, static objects etc.), pedestrians and other mobile vehicles. Moreover, robots have to mo...
Scientific research on neuro-cognitive mechanisms of autism often focuses on circuits that support social functioning. However, autism is a heterogeneous developmental variation in multiple domains, including social communication, but also language,...
With increasing concerns regarding environmental sustainability, energy transition has emerged as a vital subtopic in transition studies. Such socio-technical transition requires social learning, which, however, is poorly conceptualized and explained...
Autonomous driving (AV) technology has elicited discussion on social dilemmas where trade-offs between individual preferences, social norms, and collective interests may impact road safety and efficiency. In this study, we aim to identify whether soc...
The growing relevance of socio-ecological systems (SESs) thinking reflects both the challenges of an anthropogenic poly crisis and attempts to understand the complexities of societal development in an era of globalisation. The article begins by sugge...
As interest in online learning has increased, studies utilizing a social system for the innovation of lecture/learning environments have attracted attention recently. To establish a sustainable social environment in the online learning system, prior...
Connectivist learning has emerged as a contemporary theory in technology-enhanced education, emphasising the importance of learners’ metacognitive skills to manage their learning within connected communities. Despite its growing relevance, limi...
Social sustainability requires both technological innovations and societal changes within energy systems, with decentralization playing a critical role. This shift emphasizes the increasing importance of individual user decision-making, posing signif...
Social learning, a key factor in fostering behavioural change and improving decision making, is considered necessary for achieving substantial CO2 emission reductions. However, no empirical evidence exists on how it contributes to mitigation of trans...
Social learning is the main policy-design mechanism that involves interactions between agents. This study provides an overview of the research on policy design using social learning. Descriptive and co-citation analyses were used to identify emerging...
This design-based research (DBR) project aimed to develop apt in-class and out-of-class teacher facilitation strategies to be employed in a pedagogic integration of flipped learning and social enquiry learning, viz., FIBER (Flipped Issue-Based Enquir...
Predictive graph learning approaches have been bringing significant advantages in many real-life applications, such as social networks, recommender systems, and other social-related downstream tasks. For those applications, learning models should be...
To advance actionable knowledge production in the context of water struggles, this article identifies ways to strengthen transformative learning processes within riverine social movements. The complex challenges associated with water struggles point...
The dynamic choice between individual and social learning is explored for a population of autonomous agents whose objective is to find solutions to a stream of related problems. The probability that an agent is in the individual learning mode, as opp...
Social networks generate vast amounts of data that can reveal patterns of human behaviour, social attachment, and mental states. This paper explores advanced machine learning techniques to detect and model such patterns, focusing on community structu...
Consumers often face valuation uncertainty when innovative products are introduced into market, and they may update the valuation about product quality based on historical sales information over time. Based on this background, this study constructed...
In Indonesia, there is a significant gap between the skills, creativity, innovation abilities, and job awareness of college graduates as well as the demands of the modern workforce. This gap originates from a curriculum and learning design that has n...
Network analysis aids management in reducing overall expenditures and maintenance workload. Social media platforms frequently use neural networks to suggest material that corresponds with user preferences. Machine learning is one of many methods for...
Soil degradation and declining soil fertility are prominent issues for sustainable agricultural development in China. Therefore, it is of great significance to promote the adoption rate of conservation agriculture technology. Risk cognition and techn...
Social learning often occurs between groups with different levels of experience. Yet little is known about the ideal behavioral rules in such contexts. Existing insights only apply when individuals learn from each other in the same group. In this pap...
This study (conducted as PhD research at Rhodes University, South Africa) describes a formative interventionist research project conducted to explore factors inhibiting improved wetland management within a corporate plantation forestry context and de...
The aim of this paper is to add to existing work on the theme of power, emotion, and organizational learning. The study was undertaken in Kazakhstan, where tensions between old and new regimes provide an environment that is rich in emotion and power/...
Blended synchronous learning (BSL) is becoming increasingly widely implemented in many higher education institutions due to its accessibility and flexibility. However, little research has been conducted to explore students’ engagement and persi...
The relationship between reading exposure and social attitudes across demographic groups remains a pivotal yet underexplored topic in computational social science. This study adopts a machine learning framework to examine the symmetry of reading&rsqu...
Social media brought new opportunities not only for entertainment and marketing but also for knowledge sharing and learning. This research attempted to examine the effectiveness of social media as an educational tool and its impact on knowledge shari...
This research provides a current view on post-digital learning experiences with a massive open online course (MOOC), in relation to user profiles, universal instructional design, digital resources, inclusive activities and collaborative assessment. T...
As user–item interaction information is typically limited, collaborative filtering (CF)-based recommender systems often suffer from the data sparsity issue. To address this issue, recent recommender systems have turned to graph neural networks...
Influential users play an important role in online social networks since users tend to have an impact on one other. Therefore, the proposed work analyzes users and their behavior in order to identify influential users and predict user participation....
The constant challenge in social interactions involves making informed decisions in the face of competitive and cooperative dilemmas. The decision-making process can be influenced by various factors present in the social context. According to the beh...
Nearby natural environments on campus grounds have become imperative in enhancing sustainable academic experiences by facilitating sustainable social learning. However, tropical region campuses prioritise traditional education while neglecting sustai...
We study social learning in a large population of agents who only observe the actions taken by their neighbours. Agents have to choose one, out of two, reversible actions, each optimal in one, out of two, unknown states of the world. Each agent choos...
The large number of new services and applications and, in general, all our everyday activities resolve in data mass production: all these data can become a golden source of information that might be used to improve our lives, wellness and working day...
Social recommendations typically utilize social relationships and past behaviors to predict users’ preferences. In real-world scenarios, the connections between users and items often extend beyond simple pairwise relationships. Leveraging hyper...
Combining complex networks analysis methods with machine learning (ML) algorithms have become a very useful strategy for the study of complex systems in applied sciences. Noteworthy, the structure and function of such systems can be studied and repre...
Social recommendation systems can improve recommendation quality in cases of sparse user–item interaction data, which has attracted the industry’s attention. In reality, social recommendation systems mostly mine real user preferences from...
Recently, the social dilemma problem is no longer limited to unrealistic stateless matrix games but has been extended to temporally and spatially extended Markov games by multi-agent reinforcement learning. Many multi-agent reinforcement-learning alg...
The COVID-19 pandemic accelerated the shift to online learning in higher education, making the need to rethink pedagogical approaches to on-campus education stronger than ever before. While online learning offers a wide range of benefits for both tea...
17 September 2024
This study investigated whether a social–emotional learning program, implemented over a one-year period, could lead to gains in social–emotional competencies and to a reduction in internalizing and externalizing problems in the context of...
Suicide ideation expressed in social media has an impact on language usage. Many at-risk individuals use social forum platforms to discuss their problems or get access to information on similar tasks. The key objective of our study is to present ongo...
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