Learning dashboards at scale: early warning and overall first year experience

被引:16
|
作者
Broos, Tom [1 ,2 ]
Pinxten, Maarten [3 ]
Delporte, Margaux [4 ]
Verbert, Katrien [1 ]
De Laet, Tinne [2 ]
机构
[1] Katholieke Univ Leuven, Dept Comp Sci, Leuven, Belgium
[2] Katholieke Univ Leuven, Fac Engn Sci, Leuven, Belgium
[3] Katholieke Univ Leuven, Fac Engn Technol, Leuven, Belgium
[4] Katholieke Univ Leuven, Leuven Stat Res Ctr, Leuven, Belgium
关键词
Learning analytics; student dashboards; first-year experience; feedback; learning and study skills; STUDENT; ENGAGEMENT; FEEDBACK;
D O I
10.1080/02602938.2019.1689546
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey taken at the beginning of the second year before (N = 484) and after (N = 538) the introduction of the dashboards. We found that early dashboard usage is related to academic achievement later in the academic year and that students' review of the feedback received in the first year improved. Although these results are modest in comparison to how high the bar is sometimes set for learning analytics applications, we argue that low-cost deployments of self-service dashboards are an interesting approach to start building experience with similar tools and to start paving the way for future developments.
引用
收藏
页码:855 / 874
页数:20
相关论文
共 50 条
  • [1] First year clinical tutorials: students' learning experience
    Burgess, Annette
    Oates, Kim
    Goulston, Kerry
    Mellis, Craig
    ADVANCES IN MEDICAL EDUCATION AND PRACTICE, 2014, 5 : 451 - 456
  • [2] Introducing the overall risk scoring as an early warning system
    Pehlivanli, Davut
    Alp, Elcin Aykac
    Katanalp, Bilge
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 246
  • [3] Predicting first-year university progression using early warning signals from accounting education: A machine learning approach
    Everaert, Patricia
    Opdecam, Evelien
    van der Heijden, Hans
    ACCOUNTING EDUCATION, 2024, 33 (01) : 1 - 26
  • [4] FIRST YEAR ENGINEERING LEARNING SPACE ENHANCING THE STUDENT EXPERIENCE
    Quinn, Diana
    Smith, Elizabeth J.
    Aziz, Syed Mahfuzul
    2011 ASEE ANNUAL CONFERENCE & EXPOSITION, 2011,
  • [5] An Approach to Improving the Learning Experience for First Year Accounting Curriculum
    Kirkham, Ross
    E-JOURNAL OF BUSINESS EDUCATION & SCHOLARSHIP OF TEACHING, 2013, 7 (01): : 74 - 81
  • [6] Application of Dashboards and Scorecards for Learning Models IT Risk Management: A User Experience
    Celi, Ernesto
    DESIGN, USER EXPERIENCE, AND USABILITY: INTERACTIVE EXPERIENCE DESIGN (DUXU 2015), PT III, 2015, 9188 : 153 - 165
  • [7] First Year Business Practicum: Impacts of Early Experiential Learning
    Maguire, Diana S.
    E-JOURNAL OF BUSINESS EDUCATION & SCHOLARSHIP OF TEACHING, 2018, 12 (01): : 88 - 101
  • [8] Opencast mines 'Sibirsky'. Experience of mine development overall project output at the first year of operation
    Agudalin, B.P.
    Pirozhkov, A.G.
    Ugol', 2003, (08): : 22 - 25
  • [9] High dependency unit admissions during the first year of a national obstetric early warning system
    Maguire, Patrick J.
    Power, Karen A.
    Daly, Niamh
    Farren, Maria
    McKeating, Aoife
    Turner, Michael J.
    INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2016, 133 (01) : 121 - 122
  • [10] Modified Early Warning Score as a Predictor of COVID-19: Experience from the First Wave
    Nunes Caldeira, Joao
    Rodrigues Sousa, Sofia
    Cemlyn-Jones, Jessica
    Alfaro, Tiago
    ACTA MEDICA PORTUGUESA, 2022, 35 (05) : 405 - 406