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Assessment & Analytics Flashcards

9 cards from real CCE practice questions. Tap to flip, then mark Knew It or Still Learning โ€” missed cards come back until you master them.

Read the first 9 Assessment & Analytics flashcards as text
  1. What is the purpose of learning analytics?

    Answer: To track student progress and improve instruction

    Learning analytics involves collecting and analyzing data about student activity and performance within an LMS. This data provides instructors with insights into student engagement, progress, and areas of difficulty, enabling them to make data-driven decisions to improve their teaching strategies and course design.

  2. Which is a summative assessment?

    Answer: Final exam

    A summative assessment evaluates student learning at the end of an instructional unit or course. A final exam is a classic example, designed to measure a student's overall understanding and mastery of the entire course material after all instruction has been completed.

  3. What is the benefit of using rubrics?

    Answer: They provide clear expectations and consistent evaluation

    Rubrics are scoring guides that clearly outline the criteria and standards for evaluating student work. They provide students with transparent expectations for quality and offer instructors a consistent, objective framework for grading, ensuring fairness and clarity in assessment.

  4. What is a formative assessment example?

    Answer: Weekly quiz

    Formative assessments are designed to monitor student learning and provide ongoing feedback during the instructional process. A weekly quiz serves as a regular check for understanding, allowing instructors to identify learning gaps early and adjust their teaching strategies accordingly.

  5. How can instructors monitor student engagement in LMS?

    Answer: By reviewing analytics dashboards

    Most Learning Management Systems (LMS) include analytics dashboards that track various aspects of student activity, such as login times, page views, discussion board participation, and assignment submissions. Reviewing these dashboards provides instructors with valuable data to monitor student engagement and identify potential issues.

  6. What is auto-grading?

    Answer: System-evaluated responses

    Auto-grading refers to the automated evaluation of student submissions by a learning management system (LMS) or other software. This process typically involves comparing student responses to predefined correct answers or criteria, such as in multiple-choice questions, true/false, or fill-in-the-blank formats. It streamlines the grading process, providing immediate feedback and reducing instructor workload for certain types of assessments.

  7. Which supports personalized feedback?

    Answer: Rubrics with comments

    Rubrics with comments provide a structured way to give specific, actionable feedback to students beyond just a numeric grade. They clearly outline grading criteria, allowing instructors to highlight strengths and areas for improvement directly within each criterion. This detailed guidance helps students understand why they received a particular score and how to enhance their future work.

  8. What data helps identify at-risk students?

    Answer: LMS login patterns

    LMS login patterns, such as frequency and duration of access, can indicate a student's engagement and potential struggles. A significant drop in activity or infrequent logins might signal disengagement or difficulty with the course material. Monitoring these patterns allows educators to proactively reach out and offer support to students who may be at risk of falling behind.

  9. Why use varied assessments?

    Answer: To reach diverse learners

    Using varied assessments is essential for accommodating the diverse learning styles and strengths of all students in a classroom. Different assessment types, such as essays, presentations, projects, and traditional tests, allow students to demonstrate their understanding in ways that best suit them. This approach provides a more comprehensive and equitable measure of learning outcomes, rather than favoring a single type of learner.