LOCATION BASED USER MODELING IN ADAPTIVE MOBILE LEARNING FOR ENVIRONMENTAL AWARENESS

被引：0

作者：

Alepis, Efthimios ^{[1
]}

Virvou, Maria ^{[1
]}

Kabassi, Katerina ^{[2
]}

机构：

[1] Univ Piraeus, Dept Informat, 80 Karaoli & Dimitriou St, Piraeus 18534, Greece

[2] Technol Educ Inst Ionian Isl, Dept Ecol & Environm, Zakynthos, Greece

来源：

ICSOFT 2011: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON SOFTWARE AND DATABASE TECHNOLOGIES, VOL 1 | 2011年

关键词：

Mobile learning; Environmental informatics; User modelling; Adaptive learning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently it has been widely acknowledged that the incorporation of advanced information technologies in the areas of ecological informatics may provide significant assets towards social environmental awareness. In this paper we present a sophisticated mobile learning system which offers environmental educational information to users based on their current geographical location. The system adapts its content according to the user's personal characteristics and to the user's mobile device. The adaptation of the user's interface is accomplished through the incorporation of a well known decision making model, namely the Analytic Hierarchy Process (AHP). The resulting prototype system is called m-AWARE and is targeted to people of all ages, providing easily accessible information about our environment for environmental awareness purposes.

引用

页码：214 / 217

页数：4

共 50 条

[1] Adaptive Beamforming for Mobile Satellite Systems Based on User Location/Waveform
Zheng, Dunmin
Dutta, Santanu
[J]. 2019 IEEE 90TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-FALL), 2019,
[2] An Adaptive System Supporting Collaborative Learning Based on a Location-Based Social Network and Semantic User Modeling
Choi, Sook-Young
Kang, Jang-Mook
[J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2012,
[3] Mobile Game Based Learning Based on Adaptive Curricula and Location Change
Frank, Erik
Lackes, Richard
Siepermann, Markus
[J]. GAMES AND LEARNING ALLIANCE, GALA 2015, REVISED SELECTED PAPERS, 2016, 9599 : 151 - 160
[4] Modeling and implement of mobile phone user location discrimination based on heuristic strategy
Qingchao Shan
Honghui Dong
Limin Jia
Hua Yuan
Hui Zhang
[J]. EURASIP Journal on Wireless Communications and Networking, 2019
[5] Modeling and implement of mobile phone user location discrimination based on heuristic strategy
Shan, Qingchao
Dong, Honghui
Jia, Limin
Yuan, Hua
Zhang, Hui
[J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 2019 (01)
[6] Learning on Location: An Adaptive Mobile Learning Content Framework
Al-Hmouz, Ahmed
Freeman, Alison
[J]. PROCEEDINGS OF THE 2010 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY: SOCIAL IMPLICATIONS OF EMERGING TECHNOLOGIES, 2010, : 450 - 456
[7] User modeling on adaptive web-based learning communities
Gaudioso, E
Boticario, JG
[J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2003, 2774 : 260 - 266
[8] Using mobile learning to increase environmental awareness
Uzunboylu, Huseyin
Cavus, Nadire
Ercag, Erinc
[J]. COMPUTERS & EDUCATION, 2009, 52 (02) : 381 - 389
[9] A User Modeling System for Adaptive Learning
Loc Nguyen
[J]. 2014 INTERNATIONAL CONFERENCE ON INTERACTIVE COLLABORATIVE LEARNING (ICL), 2014, : 864 - 866
[10] Accurate indoor location awareness based on machine learning of environmental sensing data
Ge, Hangli
Sun, Zhe
Chiba, Yasuhira
Koshizuka, Noboru
[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 98

← 1 2 3 4 5 →