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    Analytics of Temporal Patterns of Self-regulated Learners:A Time Series Approach

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    Temporal patterns play a significant role in understanding dynamic changes in Self-regulated Learning (SRL) engagement over time. Several previous studies have proposed approaches for automated detection of SRL strategies through analysis of temporal patterns. However, these approaches are mostly focused on the analysis of patterns in sequential ordering of SRL processes. This offers a useful yet limited temporal perspective to SRL. As noted in the literature, temporality of SRL has two dimensions - passage of time and ordering of events. To address this gap, this paper specifically proposes a time series approach that can automatically detect SRL strategies by accounting for both dimensions of temporality. Our approach also explores when specific processes occur and how learners engage metacognitively or cognitively with learning tasks. In particular, this study investigated SRL engagement as students composed essays using multiple sources within a 120-minute time frame. The results indicated that five distinct strategies with varying levels of engagement were detected. The correlation between these identified strategies and students' scores was not statistically significant; however, further exploration revealed that students who adopted a specific strategy could outperform other groups based on obtained scores. We also noticed additional factors that had a positive effect on learners' performance.</p

    TeamTeachingViz:Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection

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    Team teaching in higher education can be challenging, especially for educators managing large classes with limited pedagogical training and few opportunities to reflect on their practices. Emerging sensing technologies and analytics can capture and analyse patterns of collaboration, communication, and movement of team teaching. Yet, few studies have presented these data to educators for reflection. To address this gap, we examine the benefits, challenges, and concerns of presenting multimodal teaching data (positional, audio, and spatial pedagogy observations) to educators via the TeamTeachingViz dashboard. We evaluated TeamTeachingViz in an authentic classroom context where educators explored their own data and team teaching strategies. Multimodal data was collected from 36 in-the-wild classroom sessions involving 12 educators grouped in various combinations over 4 weeks, followed by semi-structured interviews to reflect on their practices. Findings suggest that educators improved their self-awareness by using data-driven insights to understand their movements and interactions, enabling continuous improvement in team teaching. However, they noted the need for additional data, such as student behaviours and speech content, to better contextualise these insights.</p

    Women's authorship in international human resource management research:implications for responsible management education and emerging scholars

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    Like many professional occupations, the participation of female scholars has steadily increased since the 1990s in the human resource management (HRM) fields. While it is widely acknowledged that workforce diversity brings different perspectives, we lack insight into the impact of such changes. In this paper, we explore the implications of gender in the authorship of scholarly articles for the knowledge base of this field, using an example of a content analysis of 890 articles in the international HRM field. We discuss the implications of gender in scholarly work both within and beyond the HRM field. We draw connections to the sustainability development agenda and responsible management education from a gender perspective and offer suggestions for the career development of emerging and future scholars.</p

    "With delight and desire”:gender and emotion in the conversions of Japanese women in sixteenth‐century Southern Japan

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    This article examines the interplay of gender, emotions, and material culture in Jesuit conversion accounts in sixteenth-century Japan. I analyse the rhetorical strategies of missionaries like Luís Fróis to better understand how conversion narratives were crafted to advance the Jesuits' goal of propagating Christianity in Japan and beyond. Although we cannot access the emotional experiences of these women, their representation and description, offers some insight into the tensions and conflicts in conversion narratives and, taken together with other sources, may open up new avenues to access their agencies in religious encounter.</p

    @LM DeceptionNet:A multimodal approach for efficient transfer learning-based deception detection

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    In terms of deception detection, traditional contact-based techniques often require collecting physiological signals, which can negatively impact device accuracy and participant comfort. While multimodal features extracted from audio and video modalities have been shown to outperform human observers on public datasets, the generalizability of existing audio and visual-based deception detection methods in different scenarios remains insufficiently explored. To narrow this gap, this work proposes a novel domain knowledge transfer learning method for deception detection in cross-scenario applications, which enhances its generalization and adaptability. Additionally, we designed a multimodal framework that filters out irrelevant information from other modalities when a particular modality yields reliable results, further improving overall system accuracy and robustness. We evaluate the proposed method on different public datasets, achieving promising generalizability results with consistent enhancements using four variations and networks. Apart from this, the proposed @LM DeceptionNet demonstrates better generalization capacity in computational efficiency, feature extraction, and adaptability compared to a larger model when employing fewer parameters.</p

    Blockchain-Empowered H-CPS Architecture for Smart Agriculture

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    This study integrates blockchain technology into smart agriculture to enhance its productivity and sustainability. By combining blockchain with remote sensing, artificial intelligence (AI), and the Internet of Things (IoT), a Human-Cyber-Physical System (H-CPS) architecture tailored for agricultural applications is proposed. It supports real-time crop management, data-driven decision-making, and transparent trading of agricultural products. A semantic-based blockchain framework is introduced to address challenges in data management and AI model integration, optimizing production, improving traceability, reducing costs, and enhancing financial security. This framework directly addresses real-world agricultural challenges, such as optimized irrigation, improved crop breeding efficiency, and enhanced supply chain transparency. These innovations provide practical solutions for modern agriculture, contributing to sustainable development and global food security. Further research and collaboration are encouraged to unlock its full potential in transforming agricultural practices.</p

    "It Brought the Model to Life": Exploring the Embodiment of Multimodal I3Ms for People who are Blind or have Low Vision

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    3D-printed models are increasingly used to provide people who are blind or have low vision (BLV) with access to maps, educational materials, and museum exhibits. Recent research has explored interactive 3D-printed models (I3Ms) that integrate touch gestures, conversational dialogue, and haptic vibratory feedback to create more engaging interfaces. Prior research with sighted people has found that imbuing machines with human-like behaviours, i.e., embodying them, can make them appear more lifelike, increasing social perception and presence. Such embodiment can increase engagement and trust. This work presents the first exploration into the design of embodied I3Ms and their impact on BLV engagement and trust. In a controlled study with 12 BLV participants, we found that I3Ms using specific embodiment design factors, such as haptic vibratory and embodied personified voices, led to an increased sense of liveliness and embodiment, as well as engagement, but had mixed impact on trust.</p

    Common volatility in clean energy stocks

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    This study investigates common volatility (COVOL) within the clean energy sector, motivated by the sector's growing importance and its susceptibility to external shocks. For this purpose, we use the COVOL measure developed by Engle and Campos-Martins (2023) to explore sector-wide and sub-sector common volatility, in a range of sub-sectors including renewable energy, energy storage, energy conversion, power conservation, and greener utilities. Our analysis highlights the major events that significantly impact the volatility of clean energy stocks. These include global economic disruptions, geopolitical tension, policy changes and climate-related events. Other key findings reveal the heterogeneous association of sub-sectors’ COVOL to different economic and financial factors, alongside superior explanatory power of COVOL on clean energy risk and return compared to alternative news-based uncertainty measures. These insights emphasize the importance for investors to integrate thorough risk management strategies and for policymakers to create a stable, supportive environment for the clean energy market. The study's implications extend to enhancing sector resilience and informing strategic investment and policy decisions, contributing to the sustainable growth of clean energy amidst global economic and environmental uncertainties.</p

    The securitization of civil society in conflict zones:a comparative study of Iraq and Afghanistan

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    Authoritarian and hybrid regimes increasingly crack down on civil society.While existing literature explains these patterns as the outcomes of growing authoritarianism and illiberalism, it provides little insight into the underlying mechanisms. This article addresses this gap by drawing on the securitization theory to identify mechanisms of securitization of civil society in competitions between Western intervention and counter-intervention forces in Afghanistan and Iraq. It finds that civil society is securitized through relations of amity and enmity with other actors and values that have been constructed as security threats or allies. Consequently, we find that rather than an autonomous realm of social life, civil society becomes a field of struggle for domination and a contested referent object that is subject to various forms of securitization by state and nonstate actors, including Western intervention and counter-intervention forces. The article contributes to a critical security agenda by demonstrating the resilience and agency of local civil society, particularly women and marginalized groups, within highly securitized environments. It further broadens the empirical base of securitization theory by demonstrating how security competition can dominate nonsecurity domains like civil society.</p

    Streamlining Eye-Tracking and Observational Data for Field Study Visual Analysis

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    Wearable eye-tracking in field studies presents challenges in synchronising gaze data with dynamic stimuli and integrating observational notes from multiple observers. Existing tools often struggle to visualise eye-tracking patterns in complex, real-world environments with frequently changing areas of interest (AOIs). To address this, we propose a streamlined workflow that simplifies analysis preparation by integrating real-time observer notes with eye-tracking data with enhanced timestamp-based synchronisation, improving data mapping, and automating AOI detection with an energy control room use case. This workflow makes eye-tracking tools like Gazealytics more practical for complex field studies. By streamlining data preparation and automation, our method enhances the scalability and usability of eye-tracking analysis in complex environments, enabling more efficient and accurate visual analysis of real-world decision-making.</p

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