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Conference

How to Generate Early and Accurate Alerts of At-risk of Failure Learners?

Subjects: online learning; early warning systems; machine learningCorfu; Greece

  • Source: Lecture Notes in Computer Science ; International Conference on Intelligent Tutoring Systems ; https://hal.science/hal-04415373 ; International Conference on Intelligent Tutoring Systems, Jun 2023,

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Assess Performance Prediction Systems: Beyond Precision Indicators

Subjects: Earliness Stability indicators Learning Analytics Machine Learning k-12 learners; Earliness; StabilityPrague; France

  • Source: Proceedings of the 14th International Conference on Computer Supported Education ; 14th International Conference on Computer Supported Education : Special Session on Analytics in Educational

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Conference

Learning Profiles to Assess Educational Prediction Systems

Subjects: Learning Analytics; Assessment Methodology; Risk PredictionDurham (GB); United Kingdom

  • Source: Lecture Notes in Computer Science ; The 23rd International Conference on Artificial Intelligence in Education ; https://hal.science/hal-04412792 ; The 23rd International Conference on Artificial

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Conference

A Dynamic Indicator to Model Students’ Digital Behavior ; Un indicateur dynamique pour modéliser le comportement numérique des étudiants

Subjects: Students' Digital Behavior Time-Interval Pattern Mining Sequential Pattern Mining Change Mining Pattern Histories COVID-19; Students' Digital Behavior; Time-Interval Pattern MiningOnline (Virtual); France

  • Source: 14th International Conference on Computer Supported Educationhttps://hal.science/hal-0405442814th International Conference on Computer Supported Education, Apr 2022, Online (Virtual),

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Academic Journal

Time-dependent metrics to assess performance prediction systems

Subjects: Earliness Stability Learning Analytics Machine Learning k-12 learners; Earliness; Stability

  • Source: ISSN: 2056-4880.

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Academic Journal

Using Behavioral Primitives to Model Students’ Digital Behavior ; Utilisation de primitives comportementales pour modéliser le comportement numérique des étudiants

Subjects: Learning Analytics Probabilistic Movement Primitives Students' Behavioral Primitives; Learning Analytics; Probabilistic Movement Primitives

  • Source: ISSN: 1877-0509.

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Conference

An in-depth methodology to predict at-risk learners

Subjects: At-risk learners; Early prediction; MethodologyBolazano (on-line); Italy

  • Source: Lecture Notes in Computer Science ; Sixteenth European Conference on Technology Enhanced Learning Technology-Enhanced Learning for a Free, Safe, and Sustainable World (ECTEL 21) ;

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Conference

A Big Data Architecture to a Multiple Purpose in Healthcare Surveillance: The Brazilian Syphilis Case

Subjects: big data; healthcare surveillance; syphilisAveiro; Portugal

  • Source: Euro American Conference on Telematics and Information Systems (EATIS 2020) ; https://inria.hal.science/hal-02470392 ; Euro American Conference on Telematics and Information Systems (EATIS 2020), Nov

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Conference

An Operational Framework for Evaluating the Performance of Learning Record Stores

Subjects: Test scenarios; Non-functional requirements; xAPI specificationsHeidelberg; Germany

  • Source: Addressing Global Challenges and Quality Education ; European Conference on Technology Enhanced Learning ; https://hal.science/hal-02985541 ; European Conference on Technology Enhanced Learning, Sep

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Conference

BacAnalytics: A Tool to Support Secondary School Examination in France

Subjects: Academic analytics; Secondary school examination; BaccalauréatOnline Event; Germany

  • Source: 25th International Symposium on Methodologies for Intelligent Systems (ISMIS 2020)https://inria.hal.science/hal-0302085225th International Symposium on Methodologies for Intelligent

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  • 1-10 of  40 results for ""Roussanaly, Azim""