skip to main content
10.1145/3593663.3593686acmotherconferencesArticle/Chapter ViewAbstractPublication PagesecseeConference Proceedingsconference-collections
research-article

Learning Analytics Dashboard for Educators: Proposed Project to Design with Pedagogical Background

Published: 19 June 2023 Publication History

Abstract

In this article, the authors describe a prototype of a Learning Analytics Dashboard (LAD) for educators. It is based on the analysis of pedagogical actions and taking into the process and learning style of students in an online environment based on learning analytics (LA). A description of the Dashboard structure, divided into levels and categories based on available learning analytics, will allow the educator to dive deeper into the online course themselves and explore more. It will also allow them to determine the level of student performance, identify gaps in learning materials, and research student data.
The authors have identified further directions for the development of a LAD for a professor, including modeling algorithms for researching student behavior and learning style using Artificial Intelligence and presenting LA in a visualized form. This paper shows the stages of creating a professor's LAD prototype as a functional part of the adaptive learning system in the HASKI-System to analyze visual information obtained from LA and the possibilities to monitor the learning process, learning progress, student activity, and make decisions on careful intervention in the students’ learning process.

References

[1]
Aldosemani, Tahani I., and Ahmed Al Khateeb, 2022. Learning Loss Recovery Dashboard: A Proposed Design to Mitigate Learning. Loss Post Schools Closure. Sustainability, 14 (10), 5944.
[2]
Sarikaya Alper, Michael Correll, and Lyn Bartram, 2018. What do we talk about when we talk about dashboards? IEEE transactions on visualization and computer graphics, 25(1), 682-692.
[3]
Lisbeth Amhag, Lisa Hellström, and Martin Stigmar, 2019. Teacher educators' use of digital tools and needs for digital competence in higher education. Journal of Digital Learning in Teacher Education, 35 (4), 203-220.
[4]
Mohamed Amine Chatti, Anna Dyckhoff, Ulrik Schroeder, and Hendrik Thüs, 2012. A reference model for learning analytics. International Journal of Technology Enhanced Learning, 4 (5-6), 318-331.
[5]
Linda Van den Bergh, Anje Ros, and Douwe Beijaard, 2013. Teacher feedback during active learning: Current practices in primary schools. British Journal of Educational Psychology, 83 (2), 341-362.
[6]
Andreas Buja, Dianne Cook, and Deborah F. F. Swayne, 1996. Interactive high-dimensional data visualization. Journal of computational and graphical statistics, 5 (1), 78-99.
[7]
Tinne De Laet, Martijn Millecamp, Tom Broos. 2020. Explainable Learning Analytics: challenges and opportunities. In Companion Proceedings of the 10th International Conference on Learning Analytics & Knowledge LAK20 Society for Learning Analytics Research (SoLAR), 500 – 510.
[8]
Thomas Cavanagh, Baiyun Chen, and RAM Lahcen. 2020. Constructing a design framework and pedagogical approach for adaptive learning in higher education: A practitioner's perspective. International Review of Research in Open and Distributed Learning, 21 (1), 173-197.
[9]
Doug Clow, 2013. An overview of learning analytics. Teaching in Higher Education, 18 (6), 683-695.
[10]
Dirk Ifenthaler, and Hendrik Drachsler, 2020. Learning Analytics: Spezielle Forschungsmethoden in der Bildungstechnologie. Handbuch Bildungstechnologie: Konzeption und Einsatz digitaler Lernumgebungen, 515-534.
[11]
Anna Dyckhoff, Vlatko Lukarov, Mohamed Amine Chatti and Ulrik Schroeder, 2013. Supporting action research with learning analytics. Proceedings of the third international conference on learning analytics and knowledge, 220-229.
[12]
Siemens, George, 2004. Elearnspace. Connectivism: A learning theory for the digital age. Elearnspace. org, 2004, 14-16.
[13]
Didik Hariyanto. 2020. An Adaptive E-Learning System based on Student's Learning Styles and Knowledge Level. Ph.D. Dissertation. Technische Universität Dresden. Gutachten: Köhler, Triyono.
[14]
Sabine Graf, Kinshuk and Cindy Ives. 2010. A Flexible Mechanism for Providing Adaptivity Based on Learning Styles in Learning Management Systems. In 10th IEEE International Conference on Advanced Learning Technologies, 30-34.
[15]
Goldie, John Gerard Scott, 2016. Connectivism: A knowledge learning theory for the digital age? Medical teacher, 38 (10), 1064-1069.
[16]
Brotherton Haleh, Jessica Manning, and Marisa Orr. 2022. Design of the Academic Dashboard: A Tool to Enhance Students’ Efficacy in Decision-Making (WIP). In: 2022 ASEE Annual Conference & Exposition.
[17]
Roope Jaakonmäki, Jan vom Brocke, Stefan Dietze, Hendrik Drachsler, Albrecht Fortenbacher, Rene Helbig, Michael Kickmeier- Rust, Ivana Marenzi, Angel Suarez, Haeseon Yun. 2020. Learning Analytics Cookbook. How to Support Learning Processes Through Data Analytics and Visualization. SpringerBriefs in Business Process Management.
[18]
Keller, Peter R., and Scott Markel, 1994. Visual cues: practical data visualization. Computers in Physics, 8(3), 297-298.
[19]
Anouschka van Leeuwen, and Nikol Rummel, 2017. Teacher regulation of collaborative learning: research directions for learning analytics dashboards. Making a Difference: Prioritizing Equity and Access in CSCL 2(805-806), 1939-1382.
[20]
Vlatko Lukarov, Mohamed Amine Chatti, and Ulrik Schroeder, 2015. Learning Analytics Evaluation-Beyond Usability. DeLFI Workshops, 123-131.
[21]
Luis Magdiel Oliva-Cordova, Antonio Garcia-Cabot, and Hector R. Amado-Salvatierra, 2021. Learning Analytics to Support Teaching Skills: A Systematic Literature Review. A systematic literature review. IEEE Access, 9, 58351-58363.
[22]
Inge Molenaar, and Carolien AN Knoop-van Campen, 2018. How teachers make dashboard information actionable. IEEE Transactions on Learning Technologies, 12(3), 347-355.
[23]
Kawa Nazemi, and Dirk Burkhardt, 2019. Visual analytical dashboards for comparative analytical tasks–a case study on mobility and transportation. Procedia Computer Science, 149, 138-150.
[24]
Erik Roelofs, and Piet Sanders, 2007. Towards a Framework for Assessing Teacher Competence. European journal of vocational training, 40 (1), 123-139.
[25]
Harry B. Santoso, Batuparan, A. K., R. Yugo Kartono Isal, 2018. The development of a learning dashboard for lecturers: A case study on a student-centered e-learning environment. The Journal of Educators Online, 1.
[26]
Ben Shneiderman. The eyes have it: A task by data type taxonomy for information visualizations. 1996. In Proceedings 1996 IEEE symposium on visual languages. IEEE, 336-343.
[27]
Barbara A. Soloman, and Richard M. Felder. 2005. Index of Learning Styles questionnaire: NC State University. Available online at: http://www. engr. ncsu. edu/learningstyles/ilsweb. html (last visited on 23.03. 2023), 70.
[28]
Ji Soo Yi, Younah Kang, and John Stasko, 2007. Toward a deeper understanding of the role of interaction in information visualization. IEEE transactions on visualization and computer graphics, 13(6), 1224-1231.
[29]
Carolyn Wilson, Grizzle, A., Ramon R. Tuazon, Kwame Akyempong, and Cheung. 2011. Alfabetización Mediática e informacional: Curriculum para profesores. UNESCO. Paris, France.
[30]
Greller Wolfgang, and Hendrik Drachsler, 2012. Translating learning into numbers: A generic framework for learning analytics. Journal of Educational Technology & Society, 2012, 15.3: 42-57.
[31]
Seghroucheni, Yassine Zaoui, Mohammed Al Achhab, and Badr Eddin El Mohajir, 2014. Revisiting the Didactic Triangle in the Case of an Adaptive Learning System. International Journal of Engineering Pedagogy, 4(4), 27-32.

Cited By

View all
  • (2024)Towards Designing Digital Learning Tools for Students with Cortical/Cerebral Visual Impairments: Leveraging Insights from Teachers of the Visually ImpairedProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675636(1-18)Online publication date: 27-Oct-2024

Index Terms

  1. Learning Analytics Dashboard for Educators: Proposed Project to Design with Pedagogical Background

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education
    June 2023
    264 pages
    ISBN:9781450399562
    DOI:10.1145/3593663
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 June 2023

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Learning Analytics Dashboard
    2. adaptive learning system
    3. distance education pedagogy
    4. information visualization
    5. learning analytics
    6. pedagogical actions
    7. pedagogical knowledge

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    • German Federal Ministry of Education and Research (BMBF)

    Conference

    ECSEE 2023

    Acceptance Rates

    Overall Acceptance Rate 11 of 16 submissions, 69%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)60
    • Downloads (Last 6 weeks)4
    Reflects downloads up to 01 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Towards Designing Digital Learning Tools for Students with Cortical/Cerebral Visual Impairments: Leveraging Insights from Teachers of the Visually ImpairedProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675636(1-18)Online publication date: 27-Oct-2024

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media