The application of optimal topic sequence in adaptive e-learning systems

Vija Vagale; Laila Niedrite

doi:10.1007/978-3-319-40180-5_24

The application of optimal topic sequence in adaptive e-learning systems

Vija Vagale^*
, Laila Niedrite

^*Šī darba korespondējošais autors

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

5 Atsauces (Scopus)

Kopsavilkums

In an adaptive e-learning system an opportunity to choose a course topic sequence is given to ensure personalization. The topic sequence can be obtained from three sources: teacher-offered topic sequence that is based on teacher’s pedagogical experience; learner’s free choice that is based on indicated links between topics, and, finally, the optimal topic sequence acquisition method described in this article. The optimal topic sequence is based on previous learners’ experience. With the help of the optimal topic sequence method, data about previous learners’ course topic sequence and course results are obtained. After the data analysis the optimal topic sequence for the specific course is obtained based on the links between course topics. In this article the experimental test of this method is described.

Oriģinālvaloda	Angļu
Rīkotāja publikācijas nosaukums	Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings
Redaktori	Guntis Arnicans, Vineta Arnicane, Juris Borzovs, Laila Niedrite
Izdevējs	Springer Verlag
Lapas	352-365
Lapu skaits	14
ISBN (Drukātā versija)	9783319401799
DOIs	https://doi.org/10.1007/978-3-319-40180-5_24
Publikācijas statuss	Publicēts - 2016
Pasākums	12th International Baltic Conference on Databases and Information Systems, DB and IS 2016 - Riga, Latvija Ilgums: 4 jūl. 2016 → 6 jūl. 2016

Publikāciju sērijas

Nosaukums	Communications in Computer and Information Science
Sējums	615
ISSN (Drukātā versija)	1865-0929

Konference

Konference	12th International Baltic Conference on Databases and Information Systems, DB and IS 2016
Valsts/Teritorija	Latvija
Pilsēta	Riga
Periods	4/07/16 → 6/07/16

ANO IAM

Šis izpildes rezultāts palīdz sasniegt šādus ANO ilgtspējīgas attīstības mērķus (IAM)

4. IAM — Kvalitatīva Izglītība

Piekļuve Dokumentiem

10.1007/978-3-319-40180-5_24

Citi faili un saites

Saite uz publikāciju Scopus

Citēt šo

Vagale, V., & Niedrite, L. (2016). The application of optimal topic sequence in adaptive e-learning systems. (gadā) G. Arnicans, V. Arnicane, J. Borzovs, & L. Niedrite (Red.), Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings (lpp. 352-365). (Communications in Computer and Information Science; Sēj. 615). Springer Verlag. https://doi.org/10.1007/978-3-319-40180-5_24

Vagale, Vija ; Niedrite, Laila. / The application of optimal topic sequence in adaptive e-learning systems. Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings. redaktors / Guntis Arnicans ; Vineta Arnicane ; Juris Borzovs ; Laila Niedrite. Springer Verlag, 2016. lpp. 352-365 (Communications in Computer and Information Science).

@inproceedings{a82238da22244b5888a2595f9c0ede6f,

title = "The application of optimal topic sequence in adaptive e-learning systems",

abstract = "In an adaptive e-learning system an opportunity to choose a course topic sequence is given to ensure personalization. The topic sequence can be obtained from three sources: teacher-offered topic sequence that is based on teacher{\textquoteright}s pedagogical experience; learner{\textquoteright}s free choice that is based on indicated links between topics, and, finally, the optimal topic sequence acquisition method described in this article. The optimal topic sequence is based on previous learners{\textquoteright} experience. With the help of the optimal topic sequence method, data about previous learners{\textquoteright} course topic sequence and course results are obtained. After the data analysis the optimal topic sequence for the specific course is obtained based on the links between course topics. In this article the experimental test of this method is described.",

keywords = "Adaptive e-learning system, Learner model, Optimal topic sequence",

author = "Vija Vagale and Laila Niedrite",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 12th International Baltic Conference on Databases and Information Systems, DB and IS 2016 ; Conference date: 04-07-2016 Through 06-07-2016",

year = "2016",

doi = "10.1007/978-3-319-40180-5\_24",

language = "English",

isbn = "9783319401799",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "352--365",

editor = "Guntis Arnicans and Vineta Arnicane and Juris Borzovs and Laila Niedrite",

booktitle = "Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings",

address = "Germany",

}

Vagale, V & Niedrite, L 2016, The application of optimal topic sequence in adaptive e-learning systems. (kur) G Arnicans, V Arnicane, J Borzovs & L Niedrite (red.), Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings. Communications in Computer and Information Science, sēj. 615, Springer Verlag, lpp. 352-365, 12th International Baltic Conference on Databases and Information Systems, DB and IS 2016, Riga, Latvija, 4/07/16. https://doi.org/10.1007/978-3-319-40180-5_24

The application of optimal topic sequence in adaptive e-learning systems. / Vagale, Vija; Niedrite, Laila.
Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings. red. / Guntis Arnicans; Vineta Arnicane; Juris Borzovs; Laila Niedrite. Springer Verlag, 2016. lpp. 352-365 (Communications in Computer and Information Science; Sēj. 615).

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

TY - GEN

T1 - The application of optimal topic sequence in adaptive e-learning systems

AU - Vagale, Vija

AU - Niedrite, Laila

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - In an adaptive e-learning system an opportunity to choose a course topic sequence is given to ensure personalization. The topic sequence can be obtained from three sources: teacher-offered topic sequence that is based on teacher’s pedagogical experience; learner’s free choice that is based on indicated links between topics, and, finally, the optimal topic sequence acquisition method described in this article. The optimal topic sequence is based on previous learners’ experience. With the help of the optimal topic sequence method, data about previous learners’ course topic sequence and course results are obtained. After the data analysis the optimal topic sequence for the specific course is obtained based on the links between course topics. In this article the experimental test of this method is described.

AB - In an adaptive e-learning system an opportunity to choose a course topic sequence is given to ensure personalization. The topic sequence can be obtained from three sources: teacher-offered topic sequence that is based on teacher’s pedagogical experience; learner’s free choice that is based on indicated links between topics, and, finally, the optimal topic sequence acquisition method described in this article. The optimal topic sequence is based on previous learners’ experience. With the help of the optimal topic sequence method, data about previous learners’ course topic sequence and course results are obtained. After the data analysis the optimal topic sequence for the specific course is obtained based on the links between course topics. In this article the experimental test of this method is described.

KW - Adaptive e-learning system

KW - Learner model

KW - Optimal topic sequence

UR - https://www.scopus.com/pages/publications/84978946110

U2 - 10.1007/978-3-319-40180-5_24

DO - 10.1007/978-3-319-40180-5_24

M3 - Conference paper

AN - SCOPUS:84978946110

SN - 9783319401799

T3 - Communications in Computer and Information Science

SP - 352

EP - 365

BT - Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings

A2 - Arnicans, Guntis

A2 - Arnicane, Vineta

A2 - Borzovs, Juris

A2 - Niedrite, Laila

PB - Springer Verlag

T2 - 12th International Baltic Conference on Databases and Information Systems, DB and IS 2016

Y2 - 4 July 2016 through 6 July 2016

ER -

Vagale V, Niedrite L. The application of optimal topic sequence in adaptive e-learning systems. (gadā) Arnicans G, Arnicane V, Borzovs J, Niedrite L, redaktori, Databases and Information Systems - 12th International Baltic Conference, DB and IS 2016, Proceedings. Springer Verlag. 2016. lpp. 352-365. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-40180-5_24

The application of optimal topic sequence in adaptive e-learning systems

Kopsavilkums

Publikāciju sērijas

Konference

ANO IAM

Piekļuve Dokumentiem

Citi faili un saites

Nospiedums

Citēt šo