A Smart Mobile Assessment Tool for Collecting Data in Large-Scale Educational Studies

被引:4
|
作者
Andrews, Kevin [1 ]
Zimoch, Michael [1 ]
Reichert, Manfred [1 ]
Tallon, Miles [2 ]
Frick, Ulrich [2 ]
Pryss, Ruediger [1 ]
机构
[1] Ulm Univ, Inst Databases & Informat Syst, James Franck Ring 1, D-89081 Ulm, Germany
[2] Univ Appl Sci, HSD Hsch Dopfer, Waldmarkt 3 & 9, D-50676 Cologne, Germany
关键词
Smart Mobile Assessment; Visual Literacy; Cultural Education; Large-Scale Studies;
D O I
10.1016/j.procs.2018.07.145
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Conducting scientific studies is an often frustrating and tedious task. To minimize recurring problems, such as lack of concentration or willingness to participate, and instead promote interest in the study, a smart mobile device assessment tool was developed focusing on educational studies. The tablet-based assessment tool offers a wide range of visual tasks that can be employed when conducting studies utilizing the European Framework of Visual Literacy (ENViL). Furthermore, the assessment tool is highly configurable in the field by using a centralized server and spreadsheet-based configuration files, thereby ensuring that no programming language is required to adapt the tasks on the mobile devices participating in the study. Finally, the presented framework and architecture adhere to the cross-platform and cross-device style and can be re-used and extended for any number of similar studies. (C) 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/) Peer-review under responsibility of the scientific committee of the 13th International Conference on Future Networks and Communications, FNC-2018 and the 15th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2018.
引用
收藏
页码:67 / 74
页数:8
相关论文
共 50 条
  • [31] Exploratory data analysis in large-scale genetic studies
    Teo, Yik Y.
    BIOSTATISTICS, 2010, 11 (01) : 70 - 81
  • [32] Large-Scale Data Harmonization Across Prospective Studies
    Pan, Ke
    Bazzano, Lydia A.
    Betha, Kalpana
    Charlton, Brittany M.
    Chavarro, Jorge E.
    Cordero, Christina
    Gunderson, Erica P.
    Haggerty, Catherine L.
    Hart, Jaime E.
    Jukic, Anne Marie
    Ley, Sylvia H.
    Mishra, Gita D.
    Mumford, Sunni L.
    Schisterman, Enrique F.
    Schliep, Karen
    Shaffer, Jeffrey G.
    Sotres-Alvarez, Daniela
    Stanford, Joseph B.
    Wilcox, Allen J.
    Wise, Lauren A.
    Yeung, Edwina
    Harville, Emily W.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2023, 192 (12) : 2033 - 2049
  • [33] Valid data from large-scale proteomics studies
    Chamrad, D
    Meyer, HE
    NATURE METHODS, 2005, 2 (09) : 647 - 648
  • [34] Application of the IRT Nominal Response Model to Large-Scale Educational Assessment
    Silva, Andre F. Z.
    Andrade, Dalton F.
    Borgatto, Adriano F.
    Nakamura, Luiz R.
    SIGMAE, 2019, 8 (02): : 735 - 741
  • [35] International large-scale studies of educational achievement -: The involvement of the Czech Republic
    Straková, J
    SOCIOLOGICKY CASOPIS-CZECH SOCIOLOGICAL REVIEW, 2003, 39 (03): : 411 - 424
  • [36] Score Reporting for Examinees with Incomplete Data on Large-Scale Educational Assessments
    Sinharay, Sandip
    EDUCATIONAL MEASUREMENT-ISSUES AND PRACTICE, 2021, 40 (01) : 79 - 91
  • [37] Using Cloud Technologies for Large-Scale House Data in Smart City
    Yamamoto, Shintaro
    Matsumoto, Shinsuke
    Nakamura, Masahide
    2012 IEEE 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2012,
  • [38] STRATEGIES FOR LARGE-SCALE EDUCATIONAL REFORM
    GARTNER, A
    RIESSMAN, F
    TEACHERS COLLEGE RECORD, 1974, 75 (03): : 349 - 355
  • [39] Telescope: an interactive tool for managing large-scale analysis from mobile devices
    Brito, Jaqueline J.
    Mosqueiro, Thiago
    Rotman, Jeremy
    Xue, Victor
    Chapski, Douglas J.
    De la Hoz, Juan
    Matias, Paulo
    Martin, Lana S.
    Zelikovsky, Alex
    Pellegrini, Matteo
    Mangul, Serghei
    GIGASCIENCE, 2020, 9 (01):
  • [40] Large-scale Mobile Wireless Sensor Network Data Fusion Algorithm
    Yue, Yinggao
    Li, Jianqing
    Fan, Hehong
    Qin, Qin
    PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA), 2016, : 241 - 245