The LU assessment procedures provide comprehensive analyses about the University that support the strategic planning and decision-making efforts to achieve the LU’s mission and goals. Additionally, as a part of cycles of assessment, LU conducts data collection and data analyses to be able to generate information for various government, private, and public entities for transparency and accountability, and to fulfill the accreditation standards by the Western Association of Schools and Colleges (WASC). The Office of IR in collaboration with LU leadership, faculty and administration designed the assessment plan, which includes collecting three types of data: student-related data, faculty-related data, and SLO-related data.

Student-Related Data

Student-related dataset includes characteristics of current students enrolled in LU: total headcount, headcount by degree-level, and headcount by academic program. For each student, the student-related data include identifiers of student demographics, student-level institutional data, and student achievement.

Student demographics include the following variables for all students enrolled in LU:

  1. Gender
  2. Age
  3. Ethnicity
  4. Country of Origin

Student-level institutional data include the following outcomes for all students enrolled in LU:

  1. Retention Rates: LU retentions rates.
  2. Graduation Rates: LU graduation rates by semester cohorts.
  3. Placement Rate: The university’s LinkedIn alumni page provides insights about our graduates’ professional/career advancement.
  4. Course Enrollment:
    1. Undergraduate course enrollment
    2. Graduate course enrollment

 

Student achievement data include the following variables for all students enrolled in LU:

  1. Grade Point Average: GPA reported for all students at LU
  2. Achievement in Capstone Courses: LU students successfully completing capstone courses of their respective programs
  3. Achievement in Degree Milestones:
    1. Qualifying Exam: Number of students successfully passing qualifying exam on a first or subsequent attempt
    2. Internship Reports: For graduate student pursuing master’s degree; successful completion and presentation of the internship report on the first or subsequent attempt
    3. Research Project: For graduate students pursuing master’s degree; successful completion, presentation, and defense of the project
    4. Dissertation: For graduate students pursuing doctoral degree; successful proposal, completion, and defense of the dissertation

Faculty-Related Data

For many years, the faculty of LU were very effective in clearly explaining goals and requirements of our courses. The faculty have been teaching in an organized way, using videos and presentation software to explain difficult points, and providing prompt, detailed feedback on tests and completed assignments. Moving forward, as LU adapting the evidence-based culture, we collect, analyze, and report formal data that support our academic excellence and hard work our faculty are doing. Therefore, LU collects faculty demographics and headcount, and evidence of faculty effectiveness and faculty development.

Faculty demographics and headcount include the following variables for all full-time and part-time faculty at LU:

  1. Gender
  2. Age
  3. Ethnicity
  4. Degree Level
  5. Academic Rank
  6. Full-time/Part-time status
  7. Student/Faculty Ratios by Program

Faculty effectiveness include the following data collected for each full-time and part-time faculty member:

  1. Faculty Rating (Student Evaluations): Average scores, by course, received on student evaluation form in all courses taught
  2. Faculty Rating (Peer Evaluation): Average scores, by course, received on peer evaluation form in all courses assessed

Faculty development include the following data collected for each full-time and part-time faculty member:

  1. Scholarship: Published and unpublished articles, manuscripts, books ext.
  2. Scholarship of Integration: Workshops, professional meetings
  3. Scholarship of Application: Consulting, contract research, program evaluation
  4. Professional Activities: Officer of professional organization, professional membership

SLO-Related Data

LU developed a collective institutional commitment to assessment and data-driven evidence of academic excellence. This commitment to student learning engages all who contribute to the educational process, including students themselves. Faculty, administrators, and staff design the curriculum, educational experiences and opportunities, and support services to provide multiple ways of learning. Individuals in local communities educate students as they participate in internships, thus extending learning experience beyond campus environment. Expending the range of contributors bring different perspectives to assessing student learning that broaden interpretations of students’ experiences and achievement.

 

 

LU developed a collective institutional commitment to assessment and data-driven evidence of academic excellence. This commitment to student learning engages all who contribute to the educational process, including students themselves. Faculty, administrators, and staff design the curriculum, educational experiences and opportunities, and support services to provide multiple ways of learning. Individuals in local communities educate students as they participate in internships, and other experiential opportunities, thus extending learning experience beyond campus environment. Expending the range of contributors bring different perspectives to assessing student learning that broaden interpretations of students’ experiences and achievement.

This section will detail the type of data collected and who in our campus community is responsible for collecting, organizing, and providing the data to the Office of IR for further analysis and reporting.