EDAD 8130 A02: Learning Prcs Instructnl Leadr

EDAD 8130 - Learning Processes and the Instructional Leader

Fall 2026 Syllabus, Section A02, CRN 42386,

Credit hours: 3

Course Meeting Times

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Instructor

Jane Beese

Professional Qualifications:
Ed.D. in Educational Administration

Professor

Email: jbeese@ysu.edu

Office: Beeghly Rm 2309

Office Phone: 330-941-2236

Preferred Contact Method: Email

Communication Expectations:
Emails received Monday through Friday will typically receive a response within 24 hours. Emails received on weekends, holidays, or during university closures will generally receive a response on the next business day. Assignments submitted on time are typically graded within one week of the due date. Late assignments may require additional grading time.

How to Refer to me:
Dr. Beese

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Public Instructor Information

Instructor Title:Professor
Instructor Professional Qualifications: Ed.D. in Educational Administration
Instructor Office Location:Beeghly Rm 2309
Instructor Office Phone: 
Instructor Email:jbeese@ysu.edu

Course Description

8130. Learning Processes and the Instructional Leader. A study of current theories and research in the areas of cognition and learning, development and motivation that underlay approaches to teaching in any context. 3 s.h.

Course Readings

Group Title Author ISBN
Optional There is no required textbook. NA NA
Required Required readings consist of scholarly journal articles, book chapters, professional reports, and other instructional resources selected by the instructor and made available through Blackboard or the Maag Library electronic databases. Various NA

Additional readings or multimedia resources may be assigned throughout the semester to support course topics and current research in adult learning, instructional leadership, and organizational learning.

Students are expected to complete all assigned readings prior to participating in weekly discussions, quizzes, and assignments.

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Week of Proposed Topic Due/To Prepare for Class
10/26 Due 10/25 at 11:59pm:
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Due 10/25 before 11:59:57pm:
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Due 10/25 at 11:59pm:
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11/2 Due 11/1 at 11:59pm:
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Due 11/1 before 11:59:59pm:
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Due 11/1 at 11:59pm:
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11/9 Due 11/8 at 11:59pm:
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Due 11/8 before 11:59:03pm:
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Due 11/8 at 11:59pm:
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11/16 Due 11/15 at 11:59pm:
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Due 11/15 before 11:59:53pm:
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Due 11/15 at 11:59pm:
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11/23 Due 11/22 at 11:59pm:
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Due 11/22 before 11:59:46pm:
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Due 11/22 at 11:59pm:
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11/30 Due 11/29 at 11:59pm:
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Due 12/5 at 11:59pm:
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Due 11/29 before 11:59:51pm:
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Due 12/5 at 11:59pm:
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Due 11/29 at 11:59pm:
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Due 12/5 before 11:59:50pm:
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The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning.