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An adaptive sequencing method of the learning objects for the e-learning environment

https://doi.org/10.1002/ecjc.20163

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/icec.1996.542653openalex-snapshot

Multi-objective optimization by genetic algorithms: a review

inferredcites →https://doi.org/10.1145/267437.267455openalex-snapshot

Hypertext paths and the World-Wide Web

inferredcites →https://doi.org/10.48550/arxiv.adap-org/9504007openalex-snapshot

The Distributed Genetic Algorithm Revisited

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Swarm intelligence to solve the curriculum sequencing problem

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Full Personalized Learning Path Recommendation: A Literature Review

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Curriculum Sequencing as a Generalised Travelling Salesperson Problem: A Novel Perspective on Learning Path Generation

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SBAR: A Framework to Support Learning Path Adaptation in Mobile Learning

inferred← citeshttps://doi.org/10.1007/s00500-021-05836-9openalex-snapshot

A comparative analysis of metaheuristics applied to adaptive curriculum sequencing

inferred← citeshttps://doi.org/10.1007/s10462-015-9432-zopenalex-snapshot

Learning content design and learner adaptation for adaptive e-learning environment: a survey

inferred← citeshttps://doi.org/10.1007/s10462-020-09864-zopenalex-snapshot

Metaheuristic-based adaptive curriculum sequencing approaches: a systematic review and mapping of the literature

inferred← citeshttps://doi.org/10.1007/s10639-017-9637-7openalex-snapshot

Learning path recommendation based on modified variable length genetic algorithm

inferred← citeshttps://doi.org/10.1007/s11047-010-9246-5openalex-snapshot

Evolutionary computation approaches to the Curriculum Sequencing problem

inferred← citeshttps://doi.org/10.1007/s40593-023-00376-9openalex-snapshot

Fully Individualized Curriculum with Decaying Knowledge, a New Hard Problem: Investigation and Recommendations

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2019.06.016openalex-snapshot

Collaborative optimization algorithm for learning path construction in E-learning

inferred← citeshttps://doi.org/10.1016/j.iot.2023.101052openalex-snapshot

Exploring the solution space for adaptive curriculum sequencing: Study of a multi-objective approach

inferred← citeshttps://doi.org/10.1016/j.knosys.2016.03.022openalex-snapshot

A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm

inferred← citeshttps://doi.org/10.1108/ijilt-01-2019-0014openalex-snapshot

Sequence generation for learning: a transformation from past to future

inferred← citeshttps://doi.org/10.1109/cscwd.2016.7566026openalex-snapshot

Learning path adaptation in online learning systems

inferred← citeshttps://doi.org/10.1109/icalt.2007.240openalex-snapshot

The Design of e-Learning Environment Oriented for Personalized Adaptability

inferred← citeshttps://doi.org/10.1109/icdata52997.2021.00030openalex-snapshot

Competenty-Based Approach for Learning Objects sequencing using DNA computing

inferred← citeshttps://doi.org/10.1109/itaic49862.2020.9339107openalex-snapshot

Intelligent Optimization Of Curriculum System Based On Washington Accord Graduate Attribute

inferred← citeshttps://doi.org/10.1145/3593663.3593681openalex-snapshot

Systematic Literature Review for the Use of AI Based Techniques in Adaptive Learning Management Systems

inferred← citeshttps://doi.org/10.1177/01655515211041333openalex-snapshot

Automatic e-content sequencing system for personalised learning environments by using fuzzy AHP based on multiple intelligences

inferred← citeshttps://doi.org/10.25046/aj060161openalex-snapshot

Learning Path Recommendation using Hybrid Particle Swarm Optimization

inferred← citeshttps://doi.org/10.3233/jifs-190349openalex-snapshot

A modified ant colony algorithm for personalized learning path construction

inferred← citeshttps://doi.org/10.4018/ijdet.2014100101openalex-snapshot

Solving the Curriculum Sequencing Problem with DNA Computing Approach

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