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Auflistung nach Schlagwort "Curriculum Analytics"

1 - 3 von 3
  • Conference demo
    BuddyAnalytics: A dashboard and reporting tool for study program analysis and student cohort monitoring
    (Proceedings of DELFI 2024, 2024) Görzen, Sergej; Röpke, René; Schroeder, Ulrik
    With students leaving digital traces in Campus Management Systems when registering and completing courses and exams, there is a growing interest in data-driven study program analysis and student cohort monitoring. To support study program designers with tasks, such as planning courses and exams, creating (re-)accreditation reports, and improving curricula and study plans, insights into the students’ behavior throughout their studies present valuable input and may allow for evidence-based curriculum development. This demo presents BuddyAnalytics, a web-based tool providing dashboards and analysis reports for study program analysis and cohort monitoring. It enables study program designers to review various metrics and indicators relevant to understanding students’ behavior and potential issues of study programs. Developed using user-centered design methodology, the tool is closely tailored to users’ needs and requirements. Future evaluation with the target group will assess its suitability and provide valuable feedback for improving the tool over time.
  • Konferenzbeitrag
    Semi-assisted Module Handbook Content Extraction for the Application of Curriculum Analytics
    (21. Fachtagung Bildungstechnologien (DELFI), 2023) Roepke, Rene; Nell, Maximilian; Schroeder, Ulrik
    Alongside examination regulations, module handbooks provide overview of a study program, including information like workload, learning goals, examinations. They provide guidance to students, but can also be a valuable information source to curriculum analytics, e.g., the identification of trends and patterns across modules, the assessment of course content coherence, and data-driven decision-making regarding curriculum design and revision. This paper introduces a tool for semi-assisted module handbook content extraction, which uses natural language processing and text mining techniques to extract all properties and relevant details from module handbooks, allowing instructors and curriculum designers to efficiently identify key information. As module handbooks between institutions may look very different, fully automated extraction is difficult and error-prone. By allowing users to verify and correct extraction results in a semi-assisted manner, higher accuracy and reliability of module data can be achieved.
  • Textdokument
    Workshop Learning Analytics: Study Path and Curriculum Analytics
    (Proceedings of DELFI Workshops 2024, 2024) Cohausz, Lea; Baucks, Frederik; Seidel, Niels
    Learning analytics holds substantial potential for understanding learners and educational environments. Yet, the study of curriculum analytics and learner pathways is still a developing field, often limited to isolated studies of specific courses and programs. Researchers in Germany and the European Union face legal restrictions (e.g., GDPR) and data quality issues, which limit access to comprehensive data. These limitations hinder understanding factors influencing student success and study duration, which affects improving curricula. The workshop features expert presenters who offer diverse perspectives on these topics, sharing their insights, models, and tools to support stakeholders, including students, teachers, and university administrations. Subsequent discussions among the interdisciplinary participants from the German and Austrian areas highlight the current situation and pave the way for future curriculum analytics.