Student-facing Learning Analytics Dashboard: Profiles of Student Use

被引:1
|
作者
Eickholt, Jesse [1 ]
Weible, Jennifer L. [2 ]
Teasley, Stephanie D. [3 ]
机构
[1] Cent Michigan Univ, Dept Comp Sci, Mt Pleasant, MI 48859 USA
[2] Cent Michigan Univ, Dept Teacher Educ & Profess Dev, Mt Pleasant, MI 48859 USA
[3] Univ Michigan, Sch Informat, Ann Arbor, MI 48109 USA
关键词
learning analytics dashboard; student-facing learning analytics dashboard; self-regulated learning; course level micro-learning analytics;
D O I
10.1109/FIE56618.2022.9962531
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Student-facing learning analytics dashboards (LADs) provide visualizations of course-related information to help students understand and personalize their educational practices. As such, they can be viewed as a meta-cognitive tool that enables awareness, self-reflection and sensemaking of academic performance. While student-facing LADs are becoming a standard feature in educational software, questions have been raised about students' willingness to adopt LADs and their ability to interpret feedback provided by student-facing LADs. The extent to which student-facing LADs can broadly improve educational outcomes depends, in part, on students' ability to readily incorporate LAD usage in their educational workflows. This study investigates the use of a student-facing LAD, My Learning Analytics (MyLA), over the span of one semester in a university introductory science course. MyLA draws data from the campus learning management system (Canvas) and displays three visualizations designed to provide students with actionable information. Adoption and use of MyLA was voluntary. As an exploratory study of MyLA's use in an introductory science course, this work addresses three research questions: i) What are the characteristics of students that use MyLA?, ii) How do students make use of MyLA in their coursework?, and iii) What patterns of use are exhibited by more frequent MyLA users? The results indicate that given the opportunity to use a student-facing LAD, 33% of students made repeated use of the tool. Demographic data (e.g., gender, domestic/international student) did not predict MyLA usage but significant differences in mean cumulative GPA were found between non-MyLA users and MyLA users. Broad patterns of MyLA use were aligned with major assessments in the course (e.g., MyLA was used more often around exam dates) and the grade distribution view was the most commonly accessed. Among the most highly active MyLA users, two distinct profiles were identified: aware and sensemakers. Aware users made use of the dashboard on more than 12 distinct days across the course, primarily around exam dates, and stated that they accessed the dashboard to compare their performance with others. Sensemakers made frequent use of all three MyLA views multiple times over the semester to monitor their own progress, compare their grades to others, and check what materials other students had viewed. LADs such as MyLA allow students to leverage what they already know about course assessment in their interpretation of the data presented, easing adoption and deployment of a student-facing LAD in higher education. As MyLA does not require that students have any additional training to interpret the visualizations they provide, LADs can readily be employed by students in introductory computing and engineering courses to provide them with feedback to help them plan for, monitor, and evaluate their academic progress.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Student perceptions of privacy principles for learning analytics
    Dirk Ifenthaler
    Clara Schumacher
    Educational Technology Research and Development, 2016, 64 : 923 - 938
  • [42] Student perceptions of privacy principles for learning analytics
    Ifenthaler, Dirk
    Schumacher, Clara
    ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 2016, 64 (05): : 923 - 938
  • [43] Teaching through Learning Analytics: Predicting Student Learning Profiles in a Physics Course at a Higher Education Institution
    Rincon-Flores, Elvira G.
    Lopez-Camacho, Eunice
    Mena, Juanjo
    Olmos, Omar
    INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2022, 7 (07): : 82 - 89
  • [44] Student Centred Design of a Learning Analytics System
    de Quincey, Ed
    Briggs, Chris
    Kyriacou, Theocharis
    Waller, Richard
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE (LAK'19), 2019, : 353 - 362
  • [45] Exploring Student Expectations and Confidence in Learning Analytics
    Asatryan, Hayk
    Tousside, Basile
    Mohr, Janis
    Neugebauer, Malte
    Bijl, Hildo
    Spiegelberg, Paul
    Frohn-Schauf, Claudia
    Frochte, Joerg
    FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024, 2024, : 892 - 898
  • [46] A Teacher-facing Learning Analytics Dashboard for Process-oriented Feedback in Online Learning
    Dourado, Raphael A.
    Rodrigues, Rodrigo Lins
    Ferreira, Nivan
    Mello, Rafael Ferreira
    Gomes, Alex Sandro
    Verbert, Katrien
    LAK21 CONFERENCE PROCEEDINGS: THE ELEVENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, 2021, : 482 - 489
  • [47] USING SERVICE DESIGN IN TEACHING AND LEARNING SUPPORT SERVICES DEVELOPMENT: CASE TEACHING SERVICE POINT AND STUDENT ANALYTICS DASHBOARD
    Torkkeli, Markus
    Lallimo, Jiri
    EDULEARN19: 11TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES, 2019, : 10209 - 10214
  • [48] Adoption and impact of a learning analytics dashboard supporting the advisor-Student dialogue in a higher education institute in Latin America
    De Laet, Tinne
    Millecamp, Martijn
    Ortiz-Rojas, Margarita
    Jimenez, Alberto
    Maya, Ricardo
    Verbert, Katrien
    BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 2020, 51 (04) : 1002 - 1018
  • [49] Learning Analytics Dashboard Applications
    Verbert, Katrien
    Duval, Erik
    Klerkx, Joris
    Govaerts, Sten
    Santos, Jose Luis
    AMERICAN BEHAVIORAL SCIENTIST, 2013, 57 (10) : 1500 - 1509
  • [50] Faculty and Student Technology Use to Enhance Student Learning
    Gaddis, Margaret L.
    INTERNATIONAL REVIEW OF RESEARCH IN OPEN AND DISTRIBUTED LEARNING, 2020, 21 (04): : 39 - 60