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SALIENT SYLLABI: EXAMINING DESIGN
CHARACTERISTICS OF SCIENCE ONLINE COURSES
IN HIGHER EDUCATION
By Christian Fischer, Peter McPartlan, Gabe Avakian Orona,
Renzhe Yu, Di Xu , Mark Warschauer
Structure Critical Review
Element of Paper Review
1. Abstract
1. Background
2. Expected
3. How, where ?
4. Result
5. Limitation, future research
The importance of online learning in higher education
settings is growing, not only in wake of the Covid-19
pandemic. Therefore, metrics to evaluate and
increase the quality of online instruction are crucial
for improving student learning
To develops an online course design characteristics
rubric for science course syllabi
Utilizing content analysis, inductive coding, and
deductive coding, The paper established four broad
high quality course design categories
Found that these design categories explained
variation in student performance
N/A
Structure Critical Review (cont’d)
Element of Paper Review
2. Literature Review This paper synthesize theory from previous
study related to : course organization, course
objectives and alignment, interpersonal
interactions, and technology (in chapter
“Design characteristics of online courses”)
3. Model, Conceptual Framework Model 1 includes all institutional student-level
covariates, whereas Model 2 include all
institutional student-level covariates and course
design category score independent variables.
4. Hypothesis All four aggregate course design
characteristics related to student’s grade, and it
will affect to student performance
5. Respondent This study exploratively applied the rubric on
11 online course syllabi (N = 635 students)
Structure Critical Review (cont’d)
Element of Paper Review
6. Result 1. Course syllabi allow for an identification of
online course design characteristic. It is able to
detect course design categories related to
technology, course organization, learning
objectives and alignment, interpersonal
interaction which also used in the traditional
method. This served the objective of providing
an alternative approach.
2. The syllabi-derived online course design
characteristics can explain some variance in
student grades. This will provide opportunities
to increase the quality of online learning.
3. The higher rating on the course organization
design characteristics may be related to
greater student performance. The course of
organization refers to the clarity and
consistency of the navigational structure.
Structure Critical Review (cont’d)
Element of Paper Review
7. Managerial Implication N/A
8. Discussion 1) There were no consistent trends across all courses in this
study; the research did not find that certain course design
categories had consistently higher ratings than other
design categories.
2) The course design characteristics were not substantially
correlated with each other indicating these four categories
can be viewed as distinct categories, which should not be
collapsed in subsequent analyses.
3) By a low-cost effort of examining course syllabi may
provide additional insights in explaining student-level
learning outcomes.
4) Syllabi can be collected before a term begins, allowing for
the identification of course design weaknesses before
students are exposed to the course.
5) Refers to the clarity and consistency of the navigational
structure
6) With more transparent course organization, instructors
may be able to better support their students’ self-
regulatory skills
TERIMAKASIH

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2022-11-12-salient.syllabi.pptx

  • 1. SALIENT SYLLABI: EXAMINING DESIGN CHARACTERISTICS OF SCIENCE ONLINE COURSES IN HIGHER EDUCATION By Christian Fischer, Peter McPartlan, Gabe Avakian Orona, Renzhe Yu, Di Xu , Mark Warschauer
  • 2. Structure Critical Review Element of Paper Review 1. Abstract 1. Background 2. Expected 3. How, where ? 4. Result 5. Limitation, future research The importance of online learning in higher education settings is growing, not only in wake of the Covid-19 pandemic. Therefore, metrics to evaluate and increase the quality of online instruction are crucial for improving student learning To develops an online course design characteristics rubric for science course syllabi Utilizing content analysis, inductive coding, and deductive coding, The paper established four broad high quality course design categories Found that these design categories explained variation in student performance N/A
  • 3. Structure Critical Review (cont’d) Element of Paper Review 2. Literature Review This paper synthesize theory from previous study related to : course organization, course objectives and alignment, interpersonal interactions, and technology (in chapter “Design characteristics of online courses”) 3. Model, Conceptual Framework Model 1 includes all institutional student-level covariates, whereas Model 2 include all institutional student-level covariates and course design category score independent variables. 4. Hypothesis All four aggregate course design characteristics related to student’s grade, and it will affect to student performance 5. Respondent This study exploratively applied the rubric on 11 online course syllabi (N = 635 students)
  • 4. Structure Critical Review (cont’d) Element of Paper Review 6. Result 1. Course syllabi allow for an identification of online course design characteristic. It is able to detect course design categories related to technology, course organization, learning objectives and alignment, interpersonal interaction which also used in the traditional method. This served the objective of providing an alternative approach. 2. The syllabi-derived online course design characteristics can explain some variance in student grades. This will provide opportunities to increase the quality of online learning. 3. The higher rating on the course organization design characteristics may be related to greater student performance. The course of organization refers to the clarity and consistency of the navigational structure.
  • 5. Structure Critical Review (cont’d) Element of Paper Review 7. Managerial Implication N/A 8. Discussion 1) There were no consistent trends across all courses in this study; the research did not find that certain course design categories had consistently higher ratings than other design categories. 2) The course design characteristics were not substantially correlated with each other indicating these four categories can be viewed as distinct categories, which should not be collapsed in subsequent analyses. 3) By a low-cost effort of examining course syllabi may provide additional insights in explaining student-level learning outcomes. 4) Syllabi can be collected before a term begins, allowing for the identification of course design weaknesses before students are exposed to the course. 5) Refers to the clarity and consistency of the navigational structure 6) With more transparent course organization, instructors may be able to better support their students’ self- regulatory skills

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