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

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

doi:10.1007/978-981-10-8743-1_7

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 proceeding › Conference Article in proceeding › Academic › peer-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 language	English
Title of host publication	Challenges and Solutions in Smart Learning
Subtitle of host publication	Lecture Notes in Educational Technolog
Editors	M. Chang, E. Popescu , Kinshuk, N.-S. Chen, M. Jemni, R. Huang , J. M. Spector
Place of Publication	Singapore
Publisher	Springer Singapore
Pages	41-50
Number of pages	10
ISBN (Electronic)	9789811087431
ISBN (Print)	9789811087424
DOIs	https://doi.org/10.1007/978-981-10-8743-1_7
Publication status	Published - 2018
Externally published	Yes

Publication series

Series	Lecture Notes in Educational Technology

Keywords

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

Access to Document

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

Rage: Realising an Applied Gaming Eco-system
Westera, W. (PI), Georgiadis, K. (CoI), Saveski, G. (CoI), van Lankveld, G. (CoI), Bahreini, K. (CoI), van der Vegt, W. (CoI), Berkhout, J. (CoI), Nyamsuren, E. (CoI), Kluijfhout, E. (CoI) & Nadolski, R. (CoI)
European Union
1/02/15 → 31/07/19
Project: Research

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). Springer Singapore. https://doi.org/10.1007/978-981-10-8743-1_7

Stamati, Daniela ; Sirbu, Maria-Dorinela ; Dascalu, Mihai et al. / 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, Dialogism, General Morphological Analysis, Personalized recommendations of learning resources, ReaderBench framework, Semantic models",

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",

language = "English",

isbn = "9789811087424",

series = "Lecture Notes in Educational Technology",

publisher = "Springer Singapore",

pages = "41--50",

editor = "Chang, {M. } and {Popescu }, E. and Kinshuk and Chen, {N.-S. } and Jemni, {M. } and {Huang }, {R. } and Spector, {J. M. }",

booktitle = "Challenges and Solutions in Smart Learning",

address = "Singapore",

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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. Springer Singapore, Singapore, Lecture Notes in Educational Technology, 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 et al.
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 proceeding › Conference Article in proceeding › Academic › peer-review

TY - GEN

T1 - Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench

AU - Stamati, Daniela

AU - Sirbu, Maria-Dorinela

AU - Dascalu, Mihai

AU - Trausan-Matu, Stefan

PY - 2018

Y1 - 2018

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.

KW - Creativity stimulation

KW - Dialogism

KW - General Morphological Analysis

KW - Personalized recommendations of learning resources

KW - ReaderBench framework

KW - Semantic models

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

EP - 50

BT - Challenges and Solutions in Smart Learning

A2 - Chang, M.

A2 - Popescu , E.

A2 - Kinshuk,

A2 - Chen, N.-S.

A2 - Jemni, M.

A2 - Huang , R.

A2 - Spector, J. M.

PB - Springer Singapore

CY - Singapore

ER -

Stamati D, Sirbu MD, 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 NS, 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). doi: 10.1007/978-981-10-8743-1_7

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

Abstract

Publication series

Keywords

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Rage: Realising an Applied Gaming Eco-system

Cite this