About this paper

Appears in:
Pages: 3892-3899
Publication year: 2017
ISBN: 978-84-697-6957-7
ISSN: 2340-1095
doi: 10.21125/iceri.2017.1038

Conference name: 10th annual International Conference of Education, Research and Innovation
Dates: 16-18 November, 2017
Location: Seville, Spain

ON PESONALISED MULTI-AGENT LEARNING SYSTEM: LEARNING OUTCOMES ASSESSMENT AGENT

J. Melesko

Vilnius Gediminas Technical University (LITHUANIA)
The paper aims to present learning outcomes assessment software agent necessary to create an improved personalised multi-agent learning system. First of all, the authors performed systematic literature review on competences-based assessment and e-portfolios application to personalise learning in Clarivate Analytics (formerly Thomson Reuters) Web of Science database. The systematic literature review was performed to answer the following research question: “How competences-based assessment and e-portfolios are applied in intelligent learning systems?” After that, methodology of e-portfolios and competence based assessment application in personalised multi-agent learning system is presented.

The advantages of the assessment methodology presented are as follows:
(1) it motivates students by showing them acquired competences;
(2) supports assessment enhanced learning by indicating competences in need of improvement;
(3) compiles and preserves competence based portfolio for yearly progress tracking;
(4) does not label and compare students to each other with grades;
(5) seeks that all students acquire all necessary competences instead of a passing grade;
(6) provides assessment sensitive to individual talents of students by eschewing grades and preserving authentic performance evidence in form of portfolio.

Finally, the authors present a model of competences-based learning outcomes assessment agent to be used while creating intelligent multi-agent learning system. The agent implements the approach to assessment expressed in the methodology and supplements it with additional features such as dynamic notifications about newly acquired competences and sequential assessment activities.
@InProceedings{MELESKO2017ONP2,
author = {Melesko, J.},
title = {ON PESONALISED MULTI-AGENT LEARNING SYSTEM: LEARNING OUTCOMES ASSESSMENT AGENT},
series = {10th annual International Conference of Education, Research and Innovation},
booktitle = {ICERI2017 Proceedings},
isbn = {978-84-697-6957-7},
issn = {2340-1095},
doi = {10.21125/iceri.2017.1038},
url = {http://dx.doi.org/10.21125/iceri.2017.1038},
publisher = {IATED},
location = {Seville, Spain},
month = {16-18 November, 2017},
year = {2017},
pages = {3892-3899}}
TY - CONF
AU - J. Melesko
TI - ON PESONALISED MULTI-AGENT LEARNING SYSTEM: LEARNING OUTCOMES ASSESSMENT AGENT
SN - 978-84-697-6957-7/2340-1095
DO - 10.21125/iceri.2017.1038
PY - 2017
Y1 - 16-18 November, 2017
CI - Seville, Spain
JO - 10th annual International Conference of Education, Research and Innovation
JA - ICERI2017 Proceedings
SP - 3892
EP - 3899
ER -
J. Melesko (2017) ON PESONALISED MULTI-AGENT LEARNING SYSTEM: LEARNING OUTCOMES ASSESSMENT AGENT, ICERI2017 Proceedings, pp. 3892-3899.
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