TY - GEN
T1 - Learning object assembly based on learning styles
AU - Ramirez-Arellano, Aldo
AU - Bory-Reyes, Juan
AU - Hernández-Simón, Luis Manuel
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - The goal of this paper is to develop a system, referred to as the Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students’ learning styles and term-based queries and produces a new outcome. The first step ranks LOs using a unified learning style model and creates better LOs by merging the top-ranked LOs. The second step maps LOs onto a hierarchy of concepts to avoid including duplicated topics in the merged LO. Fifty-six students were randomly split into experimental and control groups. The experimental group browsed the LOs retrieved by the msMLO based on the students’ learning styles, term-based queries and merge functionality, whereas the control group browsed the LOs retrieved based on the students’ learning styles and term-based queries. The results demonstrated that the experimental group improves their learning performance, thus msMLO is a promising approach.
AB - The goal of this paper is to develop a system, referred to as the Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students’ learning styles and term-based queries and produces a new outcome. The first step ranks LOs using a unified learning style model and creates better LOs by merging the top-ranked LOs. The second step maps LOs onto a hierarchy of concepts to avoid including duplicated topics in the merged LO. Fifty-six students were randomly split into experimental and control groups. The experimental group browsed the LOs retrieved by the msMLO based on the students’ learning styles, term-based queries and merge functionality, whereas the control group browsed the LOs retrieved based on the students’ learning styles and term-based queries. The results demonstrated that the experimental group improves their learning performance, thus msMLO is a promising approach.
KW - Learning objects aggregation
KW - Learning styles
KW - Learning technologies
UR - http://www.scopus.com/inward/record.url?scp=84979074039&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-39690-3_40
DO - 10.1007/978-3-319-39690-3_40
M3 - Contribución a la conferencia
SN - 9783319396897
T3 - Smart Innovation, Systems and Technologies
SP - 447
EP - 462
BT - Smart Education and e-Learning 2016
A2 - Uskov, Vladimir L.
A2 - Howlett, Robert J.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
A2 - Jain, Lakhmi C.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd International KES conference on Smart Education and e-Learning, 2015
Y2 - 17 June 2015 through 19 June 2015
ER -