18,656 research outputs found

    Examining deliberative interactions for socially shared regulation in collaborative learning

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    Abstract. Socially shared regulation in learning (SSRL) is essential for collaborative problem-solving and innovation that are required in today’s intricated and interconnected world. Recent advancements in learning analytics (LA) and artificial intelligence (AI) have shown promising potential for delivering a more comprehensive understanding of the temporal and cyclical processes of SSRL. It remains lacking, however, a validated standard for integrating theoretical constructs, methodological assumptions, and data structure in the field, which leads to a misalignment between the theoretical and technical aspects. This thus sparks a pressing need for interdisciplinary efforts to revise and devise theoretical and methodological frameworks that take these factors into consideration. In line with this call, the thesis presents a novel approach to applying AI to advance the field of SSRL. It comprises two empirical studies that employed AI-enabled techniques to (1) record and retain qualitative information from video data of group collaboration and (2) analyse their interaction. In particular, the studies examined the sequences of group-level interactions from the theoretical perspective of SSRL and a more micro-lens of deliberative negotiation. The theoretical framework of these studies is based on the recent conceptualisation of regulation triggering events as specific events (often negative incidents or obstacles) that stimulate regulatory responses and aid in locating them. The pattern of group interactions in response to different triggering events was then examined using processing mining and unsupervised AI machine learning clustering, agglomerative hierarchical clustering (AHC). The findings suggest that regulation triggering events prompt an immediate shift in group interaction responses, in which they engage in more metacognitive and socioemotional interaction. Two types of deliberation sequences were identified through AHC analysis, with differing regulation and collaboration practices: the plan and implementation approach (PIA) and the trials and failures approach (TFA). A key observation of this study is that the shift in group interaction sequence in response to the regulatory trigger is only temporary. The majority of groups soon revert to or maintain the initial type of deliberation sequence they developed at the beginning and do not adopt it in response to regulatory demands. Theoretically, the thesis makes contributions to understanding SSRL in collaborative learning, particularly the role played by regulation triggering events and deliberation processes in finding, capturing, and modelling SSRL traces. Methodologically, this thesis demonstrates a novel human-AI collaboration approach to examine regulatory responses to triggering events through group-level deliberation to study SSRL in collaboration. Practically, the findings of this thesis suggest that educators, facilitators, and AIED tool designers need to evaluate the regulatory needs of learners and offer appropriate guidance and support in order to ensure effective collaboration

    Appropriation of mobile cultural resources for learning

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    Copyright © 2010 IGI Global. This article proposes appropriation as the key for the recognition of mobile devices - as well as the artefacts accessed through, and produced with them - as cultural resources across different cultural practices of use, in everyday life and formal education. The article analyses the interrelationship of users of mobile devices with the structures, agency and practices of, and in relation to what the authors call the "mobile complex". Two examples are presented and some curricular options for the assimilation of mobile devices into settings of formal learning are discussed. Also, a typology of appropriation is presented that serves as an explanatory, analytical frame and starting point for a discussion about attendant issues

    Information technology as boundary object for transformational learning

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    Collaborative work is considered as a way to improve productivity and value generation in construction. However, recent research demonstrates that socio-cognitive factors related to fragmentation of specialized knowledge may hinder team performance. New methods based on theories of practice are emerging in Computer Supported Collaborative Work and organisational learning to break these knowledge boundaries, facilitating knowledge sharing and the generation of new knowledge through transformational learning. According to these theories, objects used in professional practice play a key role in mediating interactions. Rules and methods related to these practices are also embedded in these objects. Therefore changing collaborative patterns demand reconfiguring objects that are at the boundary between specialized practices, namely boundary objects. This research is unique in presenting an IT strategy in which technology is used as a boundary object to facilitate transformational learning in collaborative design work

    Exploring psychosocial interventions for people with dementia that enhance personhood and relate to legacy- an integrative review

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    Background: Epidemiological predictions suggest that dementia will continue to rise and that this will have social and economic ramifications. Effective interventions, beyond pharmacological management are needed. Psychosocial interventions have largely been investigated in relation to carers of people with dementia, or with regards to their ability to manage dementia symptoms, improve cognition, and reduce challenging behaviour. However, since dementia is a life-limiting illness and people with dementia are at risk of having their personhood compromised, psychosocial interventions should seek to enhance personhood, and offer the potential for the person to leave a legacy. Methods: An integrative review was carried out to identify, assess, appraise and synthesise studies featuring interventions, which relate to both personhood and legacy. Search strategies were developed in key databases: MEDLINE; PsycINFO; Embase; Joanna Briggs Institute; CINAHL; Cochrane Database of Systematic Reviews; ASSIA. Grey literature was also identified through free-text searches. Results: Thirty six articles were included in the final review, these were tabulated and were assessed based on how the intervention related to personhood and legacy. Classification resulted in three themes being identified: Offering aspects of legacy; Acknowledging the person behind the patient; Facilitating meaningful engagement. Generally, personhood aspects of interventions were well reported, but further research is required to explore legacy potential of psychosocial interventions for people with dementia. Conclusion: The integrative review provides an overview and exploration of an under-researched area, and provides directions for future research, which will help expand the evidence base and ultimately help improve patient care for people with dementia and their families
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