Design and evaluation of seamless learning analytics

Kousuke Mouri, Noriko Uosaki, Atsushi Shimada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper describes a learning analytics perspective for designing to implement a seamless learning environment. Seamless learning has been focused on supporting learning across formal and informal learning contexts, individual and social learning and physical world and cyberspace. Majority of the current researches have realized a seamless learning environment by using the technologies such as smart-phone and GPS at schools or universities. However, utilization of the collected learning logs still remains a challenge yet to be explored. In this study, to construct a seamless learning environment, this study developed a system that integrated a digital textbook system called AETEL with a ubiquitous learning system called SCROLL. The system enables learners to bridge the learning between digital textbook learning and real-life learning. To analyze and visualize the relationships between them, this study developed an innovative system called VASCORLL 2.0 (Visualization and analysis System for Connecting Relationships of Learning Logs). An experiment was conducted to evaluate whether VASCORLL 2.0 can increase learners’ learning opportunities. As a result, they were able to increase their learning opportunities by using VASCORLL 2.0. It contributed to enhancing learning activities in the seamless learning environment by utilizing the collected learning logs with well-designed analysis and visualization approaches.

Original languageEnglish
Title of host publicationDistributed, Ambient and Pervasive Interactions
Subtitle of host publicationTechnologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings
EditorsShin’ichi Konomi, Norbert Streitz
PublisherSpringer Verlag
Pages101-111
Number of pages11
ISBN (Print)9783319911304
DOIs
Publication statusPublished - Jan 1 2018
Event6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: Jul 15 2018Jul 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10922 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018
CountryUnited States
CityLas Vegas
Period7/15/187/20/18

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Mouri, K., Uosaki, N., & Shimada, A. (2018). Design and evaluation of seamless learning analytics. In S. Konomi, & N. Streitz (Eds.), Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings (pp. 101-111). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10922 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-91131-1_8