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What is Learning Analytics (LA)

Handbook of Research on Operational Quality Assurance in Higher Education for Life-Long Learning
To understand and optimize the learning process, then improve the pedagogical training environment, LA consists in data collection, analyzing (processing) and reporting of information (inference-drawing) about the learners and their training context (learning content). The issue lies in the moving “ from clicks to constructs ” and the ethics-awareness (and privacy), being accountable and transparent for healthy solutions ( Lang et al., 2017 ).
Published in Chapter:
Educational Serious Games Enhance Social Intelligence Through Collective Action: Issue of Digital Transition Might Change Paradigms
Walter Nuninger (Université de Lille, France) and Jean-Marie Châtelet (Université de Lille, France)
DOI: 10.4018/978-1-7998-1238-8.ch009
Abstract
Pedagogical serious games sound like up-to-date pedagogical devices for learning efficiency. But the challenge of higher performance in HE lies in tailored pedagogical devices and their usage for the learning goal; a choice to consider according to the training specifications (learning outcome), the learners' needs, and the trainer's expertise (tailored approach). The guidance by the trainer is a value-added, but a risk-taking activity changing the paradigm with the trainee. Digital integration into serious games is a 4-dimension transition: 1) group characterization facilitation for social intelligence, 2) subliminal learning in a virtual environment for commitment, 3) trainer dashboard based on individual e-preparation for feedback priorization, and 4) automation of events for gameplay and increasing skills. The splitting of space and time constraints is a new opportunity that challenges the trainer's role, changing the usual balance during face-to-face training. The proposed standard for hybrid PSG design should overcome the gaps and guarantee a real benefit from digital technology.
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A Conceptual Educational Data Mining Model for Supporting Self-Regulated Learning in Online Learning Environments
lass="highlight">Learninglass="highlight">Analytics involves the integration and analysis of students’ virtual lass="highlight">learning data from educational platforms for insights and patterns on how students engage their lass="highlight">learning activities in online lass="highlight">learning. The main purpose is support and guide students by providing interventions to improve on their undesirable lass="highlight">learning behaviors hence reinforcing positive lass="highlight">learning habits ( Lodge, Panadero, Broadbent, & De Barba, 2019 ).
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The Value of Learning Analytics in Educational Settings and Future Directions
It is the process of measuring, collecting, analyzing, and reporting data about learners and educational contexts.
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Integrated Model for Asynchronous Learning and Predictive Analytics for Enhanced Learner Experience
The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs.
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Leveraging Learning Analytics to Support Learners and Teachers: An Introduction
It is a kind of an analysis of learning, processing data to improve students’ learning using computational methods and techniques.
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Rethinking Learning Engagement Through Emotional Learning Analytics in K-12 Classrooms Through Social-Emotional Learning and Mindfulness
It is a kind of an analysis of learning, processing data to improve students’ learning using computational methods and techniques.
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