AI-driven learning analytics applications and tools in computer-supported collaborative learning: A systematic review

Educational Research Review, Год журнала: 2024, Номер 44, С. 100616 - 100616

Опубликована: Июль 11, 2024

Язык: Английский

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Artificial intelligence in classroom discourse: A systematic review of the past decade

International Journal of Educational Research, Год журнала: 2023, Номер 123, С. 102275 - 102275

Опубликована: Ноя. 20, 2023

Язык: Английский

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Enhancing students’ dialogic reflection through classroom discourse visualisation

International Journal of Computer-Supported Collaborative Learning, Год журнала: 2025, Номер unknown

Опубликована: Янв. 24, 2025

Abstract Fostering students’ dialogic reflection in the classroom entails promoting diverse perspectives and collaborative aspects of reflective thinking. However, few studies have developed visualisation tools to create a environment that fosters reflection, especially for young learners. This study aimed investigate efficacy visualising discourse enhance reflection. Two information communication technology (ICT) teachers their students ( n = 53) from Hong Kong primary school participated 3-month study. After engaging visualisation-supported subject knowledge ICT improved, accompanied by an increase proportion words spoken during lessons. Interviews with two eight underscored positive impact discourse, which enabled embrace alternative problem-solving approaches actively engage both group work whole-class discussions. illuminates advantages employing as tool. Beyond mere revisiting, can view experiences multiple reconstruct knowledge. Furthermore, this approach fostered accountability contribution interactions, ultimately improving learning outcomes. These findings advocate development evidence-based, specifically designed learners optimise experiences.

Язык: Английский

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A systematic review of studies of parental involvement in computational thinking education

Interactive Learning Environments, Год журнала: 2023, Номер 32(9), С. 5373 - 5396

Опубликована: Май 25, 2023

As the impact of digital technologies pervades on our lives at all levels, it is important for students to develop their literacy. Computational thinking (CT) education one pathway helping young thrive in world. CT a critical reasoning process whereby people formulate and solve problems using computers. relies not only schools teachers, but also parents. We reviewed 34 studies influence parents children's education. explore following four aspects education: (1) contexts, (2) effects regarding participation (affective, behavioral, cognitive) outcomes education, (3) research designs, (4) mechanisms through which parents' influences Two theoretical frameworks, tripartite model parental involvement theory, were used synthesize articles analyze affective, cognitive as well propose conceptual framework further provide recommendations supporting by suggesting appropriate mindsets strategies maximize effectiveness

Язык: Английский

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Integration of Manifold Learning and Density Estimation for Fine-Tuned Face Recognition

Symmetry, Год журнала: 2024, Номер 16(6), С. 765 - 765

Опубликована: Июнь 18, 2024

With the rapid advancements in data analysis and increasing complexity of high-dimensional datasets, traditional dimensionality reduction techniques like Local Linear Embedding (LLE) often face challenges maintaining accuracy efficiency. This research aims to overcome limitations LLE, specifically its reliance on nearest neighbor concept, inability distinguish differences among manifold points, underutilization discrimination information. To address these issues, we propose an advanced LLE algorithm that integrates decision tree-based recognition with Gaussian kernel density estimation. Decision trees accurately determine neighboring relationships, which are then optimized using estimation better reflect distribution sample points manifold. The also incorporates information enhance classification Evaluations facial tasks SVM classifiers demonstrate significant improvements. Integrating (LLE-DT) yielded gains, LFW at 98.75%, CFP 96.10%, Olivetti 92.18%. (LLE-GDE) achieved further enhancements, especially (99.13%), 96.85%, 91.82%. Combining both methods (LLE-DT-GDE) led substantial improvements: 99.61%, 97.23%, 93.56%, highlighting synergy between effectively addresses approaches, showing promising results complex processing such as recognition. These findings suggest potential for broader applications fields requiring robust classification.

Язык: Английский

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iTalk–iSee: A participatory visual learning analytical tool for productive peer talk

International Journal of Computer-Supported Collaborative Learning, Год журнала: 2022, Номер 17(3), С. 397 - 425

Опубликована: Авг. 31, 2022

Язык: Английский

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Improving participation equity in dialogic collaborative problem solving: A participatory visual learning analytical approach

Journal of Computer Assisted Learning, Год журнала: 2024, Номер 40(4), С. 1632 - 1657

Опубликована: Март 27, 2024

Abstract Background The existing research on dialogue‐based learning and teaching predominantly highlights its capacity to yield productive educational outcomes, yet it often overlooks the pivotal factor of participation equity, which is fundamental ensuring efficacy dialogic learning. Objectives In this study, equity refers a condition in itself opportunities participate are fairly distributed among participants all equally listened respected. We designed technology‐enhanced participatory visual analytical approach promote equitable collaborative problem solving from four dimensions: (i.e., equal contributions participants), opportunity promoting engagement with others), responsiveness encouraging attentiveness others' input), respect cultivating respectful communication style). Methods intervention class fourth‐grade students ( n = 59) interacted tool reflect their learn peer talk moves address issues concerning dimensions, while comparison only received simple feedback respect. Results results indicated that rates group members were insufficient secure equity. was effective helping realize equity‐related issues. Intervention more regarding than students. Conclusions proposed multidimensional framework has potential deepen understanding interactions.

Язык: Английский

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Unpacking the Complexity: Why Current Feedback Systems Fail to Improve Learner Self-Regulation of Participation in Collaborative Activities

Journal of Learning Analytics, Год журнала: 2024, Номер 11(2), С. 246 - 267

Опубликована: Авг. 4, 2024

Even before the inception of term learning analytics, researchers globally had been investigating use various feedback systems to support self-regulation participation and promote equitable contributions during collaborative activities. While some studies indicate positive effects for distinct subgroups learners, a common finding is that majority learners do not modify their behaviour, even after repeated interventions. In this paper, we assessed one such system and, predictably, did find measurable improvements in participation. Informed by self-regulated theory, conducted mixed-methods study explore diverse paths take process initiated feedback. We found observed deviations from expected path explain difficulty measuring generalized effect. This proposes shift research focus merely improving technological aspects human- pedagogicalcentred redesign takes special consideration how understand self-regulate

Язык: Английский

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Revolutionizing Training

Advances in human resources management and organizational development book series, Год журнала: 2023, Номер unknown, С. 294 - 310

Опубликована: Сен. 11, 2023

Experiential learning is a powerful tool for cultivating autonomous learners and promoting meaningful knowledge skill transfer to the workplace. This approach became effective when incorporated into organizational training programs, as it boosted learners' willingness learn helped reduce worker turnover. In wake of 2021 Great Resignation, in which millions Americans left their jobs, organizations must embrace evolving forms instruction guidance retain workers remain competitive. Organizations spend upwards $1252 per on training. When such miscarry or are unsuccessful workers, these leave find different work. chapter provides an agenda seeking implement experiential learning, including peer-group mentoring. By leveraging tools, can reap benefits ensure that have skills they need thrive ever-changing business landscape.

Язык: Английский

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A visual scoping review of how knowledge graphs and search engine results page designs represent uncertainty and disagreement

Information and Learning Sciences, Год журнала: 2024, Номер 125(11/12), С. 1030 - 1053

Опубликована: Авг. 12, 2024

Purpose Informational conflict and uncertainty are common features across a range of sources, topics tasks. Search engines their presentation results via search engine pages (SERPs) often underpinned by knowledge graphs (KGs) commonly used Yet, it is not clear how does, or could, represent the informational that exists within returned results. The purpose this paper to review KG SERP designs for representation disagreement. Design/methodology/approach authors address aim through systematic analysis material regarding disagreement in contexts. Specifically, focus on – user interface design have been developed context KGs SERPs. Findings Searches identified n = 136 items as relevant, with 4 sets visual materials from these features. Design elements were extracted against principles, highlighting tensions such Originality/value conclude two key challenges recommending six principles representing Given important role technologies play mediating information access learning, addressing crucial.

Язык: Английский

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