Exploiting Digital Learning Management System (LMS) Capabilities for Effective Program Assessment of Competency-based Education

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Background: Effective programmatic assessment (PA) is essential for accreditation of professional degree programs leading to licensure. Accreditation organizations for Higher Education Institution (HEI) programs such as the ABET may stipulate student outcomes. Programs seeking accreditation from ABET must present clear proof of a rigorous process that uses student work products to assess student outcomes attained. The value of PA results offers entry points for institutions and/or departments to initiate discussions on the status of student learning and to make informed decisions on program improvements. The concept of PA is well described in the literature; however, studies on implementing and operationalizing a consistent assessment approach using a Learning Management System (LMS) across courses of an academic program are lacking. Best practices on program assessment recommend that numerical scores of student performance should be linked to learning objectives. Few engineering faculties received formal grading training. They tend to rely on historical grading practices, personal experiences as students, or grade student work with a rubric that is disconnected from the learning objectives. Such traditional grading practices tend to mask the various aspects of student learning and therefore lacks the capacity to capture the full breadth of competency-based education. Globally, a high percentage of colleges and universities use a LMS to better manage teaching and learning activities. Despite the significant financial investment in LMS, faculty have not fully exploited its data capture, analytics and visualization capabilities and therefore its utility in support of effective program assessment is mostly underutilized. Objective: This paper seeks to add to the ongoing discussion on effective strategies that improve assessment of student learning in competency-based education. We present a case study to show the data collecting, data analytics and visualization capabilities of the Canvas TM LMS for student outcomes on communications for engineering management and engineering technology programs. In doing so, we address two questions that guided this investigation namely: a) what are the best practices to formulate student assignments given student outcomes for ETAC programs, and b) how to devise and setup up standard rubrics in a LMS for unbiased scoring of student work products.

Original languageEnglish (US)
JournalASEE Annual Conference and Exposition, Conference Proceedings
StatePublished - Jun 25 2023
Event2023 ASEE Annual Conference and Exposition - The Harbor of Engineering: Education for 130 Years, ASEE 2023 - Baltimore, United States
Duration: Jun 25 2023Jun 28 2023

All Science Journal Classification (ASJC) codes

  • General Engineering


  • ABET
  • Assessment
  • Continuous Improvement
  • ETAC
  • Engineering Technology
  • Evaluation
  • Geospatial Literacy
  • Rubric Assessment
  • Student Learning Outcomes


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