Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench

Daniela Stamati, Maria-Dorinela Sirbu, Mihai Dascalu, Stefan Trausan-Matu

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

    Abstract

    Computer Supported Collaborative Learning (CSCL) has gained a steadily increasing role as it helps students to better comprehend through its synergistic effect, mediated by technology. In line with CSCL learning paradigm, our approach is centered on creativity stimulation which is facilitated by a deeper understanding of the dialog. This paper introduces new extended views for our ReaderBench framework, as well as a novel recommendations engine. Our General Morphological Analysis (GMA) implementation is based on the keywords extraction mechanism provided by ReaderBench, alongside with the similar concepts inferred using the lexicalized ontology WordNet, Latent Semantic Analysis (LSA), and Latent Dirichlet Analysis (LDA) semantic models. We also include a comprehensive case study to detail the new processing workflows that integrate voices (i.e., participants' points of view), keywords identification, and text cohesion in order to recommend personalized learning resources.
    Original languageEnglish
    Title of host publicationChallenges and Solutions in Smart Learning
    Subtitle of host publicationLecture Notes in Educational Technolog
    EditorsM. Chang, E. Popescu , Kinshuk, N.-S. Chen, M. Jemni, R. Huang , J. M. Spector
    Place of PublicationSingapore
    PublisherSpringer Singapore
    Pages41-50
    Number of pages10
    ISBN (Electronic)9789811087431
    ISBN (Print)9789811087424
    DOIs
    Publication statusPublished - 2018

    Publication series

    NameLecture Notes in Educational Technology
    PublisherSpringer

    Fingerprint

    Semantics
    Recommender systems
    Ontology
    Students
    Processing

    Keywords

    • Creativity stimulation
    • General Morphological Analysis
    • Dialogism
    • Semantic models
    • Personalized recommendations of learning resources
    • ReaderBench framework

    Cite this

    Stamati, D., Sirbu, M-D., Dascalu, M., & Trausan-Matu, S. (2018). Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench. In M. Chang, E. Popescu , Kinshuk, N-S. Chen, M. Jemni, R. Huang , & J. M. Spector (Eds.), Challenges and Solutions in Smart Learning: Lecture Notes in Educational Technolog (pp. 41-50). (Lecture Notes in Educational Technology). Singapore: Springer Singapore. https://doi.org/10.1007/978-981-10-8743-1_7
    Stamati, Daniela ; Sirbu, Maria-Dorinela ; Dascalu, Mihai ; Trausan-Matu, Stefan. / Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench. Challenges and Solutions in Smart Learning: Lecture Notes in Educational Technolog. editor / M. Chang ; E. Popescu ; Kinshuk ; N.-S. Chen ; M. Jemni ; R. Huang ; J. M. Spector. Singapore : Springer Singapore, 2018. pp. 41-50 (Lecture Notes in Educational Technology).
    @inproceedings{c6e77e8aacd94a37b4c143a5d466a17c,
    title = "Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench",
    abstract = "Computer Supported Collaborative Learning (CSCL) has gained a steadily increasing role as it helps students to better comprehend through its synergistic effect, mediated by technology. In line with CSCL learning paradigm, our approach is centered on creativity stimulation which is facilitated by a deeper understanding of the dialog. This paper introduces new extended views for our ReaderBench framework, as well as a novel recommendations engine. Our General Morphological Analysis (GMA) implementation is based on the keywords extraction mechanism provided by ReaderBench, alongside with the similar concepts inferred using the lexicalized ontology WordNet, Latent Semantic Analysis (LSA), and Latent Dirichlet Analysis (LDA) semantic models. We also include a comprehensive case study to detail the new processing workflows that integrate voices (i.e., participants' points of view), keywords identification, and text cohesion in order to recommend personalized learning resources.",
    keywords = "Creativity stimulation, General Morphological Analysis, Dialogism, Semantic models, Personalized recommendations of learning resources, ReaderBench framework",
    author = "Daniela Stamati and Maria-Dorinela Sirbu and Mihai Dascalu and Stefan Trausan-Matu",
    year = "2018",
    doi = "10.1007/978-981-10-8743-1_7",
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    series = "Lecture Notes in Educational Technology",
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    Stamati, D, Sirbu, M-D, Dascalu, M & Trausan-Matu, S 2018, Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench. in M Chang, E Popescu , Kinshuk, N-S Chen, M Jemni, R Huang & JM Spector (eds), Challenges and Solutions in Smart Learning: Lecture Notes in Educational Technolog. Lecture Notes in Educational Technology, Springer Singapore, Singapore, pp. 41-50. https://doi.org/10.1007/978-981-10-8743-1_7

    Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench. / Stamati, Daniela ; Sirbu, Maria-Dorinela; Dascalu, Mihai; Trausan-Matu, Stefan.

    Challenges and Solutions in Smart Learning: Lecture Notes in Educational Technolog. ed. / M. Chang; E. Popescu ; Kinshuk; N.-S. Chen; M. Jemni; R. Huang ; J. M. Spector. Singapore : Springer Singapore, 2018. p. 41-50 (Lecture Notes in Educational Technology).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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    AU - Trausan-Matu, Stefan

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    N2 - Computer Supported Collaborative Learning (CSCL) has gained a steadily increasing role as it helps students to better comprehend through its synergistic effect, mediated by technology. In line with CSCL learning paradigm, our approach is centered on creativity stimulation which is facilitated by a deeper understanding of the dialog. This paper introduces new extended views for our ReaderBench framework, as well as a novel recommendations engine. Our General Morphological Analysis (GMA) implementation is based on the keywords extraction mechanism provided by ReaderBench, alongside with the similar concepts inferred using the lexicalized ontology WordNet, Latent Semantic Analysis (LSA), and Latent Dirichlet Analysis (LDA) semantic models. We also include a comprehensive case study to detail the new processing workflows that integrate voices (i.e., participants' points of view), keywords identification, and text cohesion in order to recommend personalized learning resources.

    AB - Computer Supported Collaborative Learning (CSCL) has gained a steadily increasing role as it helps students to better comprehend through its synergistic effect, mediated by technology. In line with CSCL learning paradigm, our approach is centered on creativity stimulation which is facilitated by a deeper understanding of the dialog. This paper introduces new extended views for our ReaderBench framework, as well as a novel recommendations engine. Our General Morphological Analysis (GMA) implementation is based on the keywords extraction mechanism provided by ReaderBench, alongside with the similar concepts inferred using the lexicalized ontology WordNet, Latent Semantic Analysis (LSA), and Latent Dirichlet Analysis (LDA) semantic models. We also include a comprehensive case study to detail the new processing workflows that integrate voices (i.e., participants' points of view), keywords identification, and text cohesion in order to recommend personalized learning resources.

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    KW - Semantic models

    KW - Personalized recommendations of learning resources

    KW - ReaderBench framework

    U2 - 10.1007/978-981-10-8743-1_7

    DO - 10.1007/978-981-10-8743-1_7

    M3 - Conference article in proceeding

    SN - 9789811087424

    T3 - Lecture Notes in Educational Technology

    SP - 41

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    BT - Challenges and Solutions in Smart Learning

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    A2 - Popescu , E.

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    A2 - Jemni, M.

    A2 - Huang , R.

    A2 - Spector, J. M.

    PB - Springer Singapore

    CY - Singapore

    ER -

    Stamati D, Sirbu M-D, Dascalu M, Trausan-Matu S. Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench. In Chang M, Popescu E, Kinshuk, Chen N-S, Jemni M, Huang R, Spector JM, editors, Challenges and Solutions in Smart Learning: Lecture Notes in Educational Technolog. Singapore: Springer Singapore. 2018. p. 41-50. (Lecture Notes in Educational Technology). https://doi.org/10.1007/978-981-10-8743-1_7