Multimodal Learning Hub

A Tool for Capturing Customizable Multimodal Learning Experiences

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

Abstract

Studies in Learning Analytics provide concrete examples of how the analysis of direct interactions with learning management systems can be used to optimize and understand the learning process. Learning, however, does not necessarily only occur when the learner is directly interacting with such systems. With the use of sensors, it is possible to collect data from learners and their environment ubiquitously, therefore expanding the use cases of Learning Analytics. For this reason, we developed the Multimodal Learning Hub (MLH), a system designed to enhance learning in ubiquitous learning scenarios, by collecting and integrating multimodal data from customizable configurations of ubiquitous data providers. In this paper, we describe the MLH and report on the results of tests where we explored its reliability to integrate multimodal data.
Original languageEnglish
Title of host publicationLifelong Technology-Enhanced Learning
Subtitle of host publication13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings
EditorsViktoria Pammer-Schindler, Mar Pérez-Sanagustín, Hendrik Drachsler, Raymond Elferink, Maren Scheffel
Place of PublicationCham
PublisherSpringer International Publishing AG
Pages45-58
Number of pages14
Edition1
ISBN (Electronic)9783319985725
ISBN (Print)9783319985718
DOIs
Publication statusPublished - 14 Aug 2018
EventEuropean Conference on Technology Enhanced Learning: Lifelong Technology-Enhanced Learning (EC-TEL 2018) - Leeds, United Kingdom
Duration: 3 Sep 20186 Sep 2018
https://link.springer.com/conference/ectel

Publication series

NameInformation Systems and Applications, incl. Internet/Web, and HCI
PublisherSpringer
Volume11082

Conference

ConferenceEuropean Conference on Technology Enhanced Learning
Abbreviated titleEC-TEL 2018
CountryUnited Kingdom
CityLeeds
Period3/09/186/09/18
Internet address

Fingerprint

Sensors

Cite this

Schneider, J., Di Mitri, D., Limbu, B., & Drachsler, H. (2018). Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences. In V. Pammer-Schindler, M. Pérez-Sanagustín, H. Drachsler, R. Elferink, & M. Scheffel (Eds.), Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings (1 ed., pp. 45-58). (Information Systems and Applications, incl. Internet/Web, and HCI; Vol. 11082). Cham: Springer International Publishing AG. https://doi.org/10.1007/978-3-319-98572-5_4
Schneider, Jan ; Di Mitri, Daniele ; Limbu, Bibeg ; Drachsler, Hendrik. / Multimodal Learning Hub : A Tool for Capturing Customizable Multimodal Learning Experiences. Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings. editor / Viktoria Pammer-Schindler ; Mar Pérez-Sanagustín ; Hendrik Drachsler ; Raymond Elferink ; Maren Scheffel. 1. ed. Cham : Springer International Publishing AG, 2018. pp. 45-58 (Information Systems and Applications, incl. Internet/Web, and HCI).
@inproceedings{6e424cd023d84be1b40c4fcbc0d4092c,
title = "Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences",
abstract = "Studies in Learning Analytics provide concrete examples of how the analysis of direct interactions with learning management systems can be used to optimize and understand the learning process. Learning, however, does not necessarily only occur when the learner is directly interacting with such systems. With the use of sensors, it is possible to collect data from learners and their environment ubiquitously, therefore expanding the use cases of Learning Analytics. For this reason, we developed the Multimodal Learning Hub (MLH), a system designed to enhance learning in ubiquitous learning scenarios, by collecting and integrating multimodal data from customizable configurations of ubiquitous data providers. In this paper, we describe the MLH and report on the results of tests where we explored its reliability to integrate multimodal data.",
author = "Jan Schneider and {Di Mitri}, Daniele and Bibeg Limbu and Hendrik Drachsler",
year = "2018",
month = "8",
day = "14",
doi = "10.1007/978-3-319-98572-5_4",
language = "English",
isbn = "9783319985718",
series = "Information Systems and Applications, incl. Internet/Web, and HCI",
publisher = "Springer International Publishing AG",
pages = "45--58",
editor = "Viktoria Pammer-Schindler and Mar P{\'e}rez-Sanagust{\'i}n and Hendrik Drachsler and Raymond Elferink and Maren Scheffel",
booktitle = "Lifelong Technology-Enhanced Learning",
address = "Switzerland",
edition = "1",

}

Schneider, J, Di Mitri, D, Limbu, B & Drachsler, H 2018, Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences. in V Pammer-Schindler, M Pérez-Sanagustín, H Drachsler, R Elferink & M Scheffel (eds), Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings. 1 edn, Information Systems and Applications, incl. Internet/Web, and HCI, vol. 11082, Springer International Publishing AG, Cham, pp. 45-58, European Conference on Technology Enhanced Learning, Leeds, United Kingdom, 3/09/18. https://doi.org/10.1007/978-3-319-98572-5_4

Multimodal Learning Hub : A Tool for Capturing Customizable Multimodal Learning Experiences. / Schneider, Jan; Di Mitri, Daniele; Limbu, Bibeg; Drachsler, Hendrik.

Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings. ed. / Viktoria Pammer-Schindler; Mar Pérez-Sanagustín; Hendrik Drachsler; Raymond Elferink; Maren Scheffel. 1. ed. Cham : Springer International Publishing AG, 2018. p. 45-58 (Information Systems and Applications, incl. Internet/Web, and HCI; Vol. 11082).

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

TY - GEN

T1 - Multimodal Learning Hub

T2 - A Tool for Capturing Customizable Multimodal Learning Experiences

AU - Schneider, Jan

AU - Di Mitri, Daniele

AU - Limbu, Bibeg

AU - Drachsler, Hendrik

PY - 2018/8/14

Y1 - 2018/8/14

N2 - Studies in Learning Analytics provide concrete examples of how the analysis of direct interactions with learning management systems can be used to optimize and understand the learning process. Learning, however, does not necessarily only occur when the learner is directly interacting with such systems. With the use of sensors, it is possible to collect data from learners and their environment ubiquitously, therefore expanding the use cases of Learning Analytics. For this reason, we developed the Multimodal Learning Hub (MLH), a system designed to enhance learning in ubiquitous learning scenarios, by collecting and integrating multimodal data from customizable configurations of ubiquitous data providers. In this paper, we describe the MLH and report on the results of tests where we explored its reliability to integrate multimodal data.

AB - Studies in Learning Analytics provide concrete examples of how the analysis of direct interactions with learning management systems can be used to optimize and understand the learning process. Learning, however, does not necessarily only occur when the learner is directly interacting with such systems. With the use of sensors, it is possible to collect data from learners and their environment ubiquitously, therefore expanding the use cases of Learning Analytics. For this reason, we developed the Multimodal Learning Hub (MLH), a system designed to enhance learning in ubiquitous learning scenarios, by collecting and integrating multimodal data from customizable configurations of ubiquitous data providers. In this paper, we describe the MLH and report on the results of tests where we explored its reliability to integrate multimodal data.

U2 - 10.1007/978-3-319-98572-5_4

DO - 10.1007/978-3-319-98572-5_4

M3 - Conference article in proceeding

SN - 9783319985718

T3 - Information Systems and Applications, incl. Internet/Web, and HCI

SP - 45

EP - 58

BT - Lifelong Technology-Enhanced Learning

A2 - Pammer-Schindler, Viktoria

A2 - Pérez-Sanagustín, Mar

A2 - Drachsler, Hendrik

A2 - Elferink, Raymond

A2 - Scheffel, Maren

PB - Springer International Publishing AG

CY - Cham

ER -

Schneider J, Di Mitri D, Limbu B, Drachsler H. Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences. In Pammer-Schindler V, Pérez-Sanagustín M, Drachsler H, Elferink R, Scheffel M, editors, Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Leeds, UK, September 3-5, 2018, Proceedings. 1 ed. Cham: Springer International Publishing AG. 2018. p. 45-58. (Information Systems and Applications, incl. Internet/Web, and HCI). https://doi.org/10.1007/978-3-319-98572-5_4