Course

Course Summary
Credit Type:
Course
ACE ID:
GLEC-0002
Organization:
GLEAC TECHNOLOGIES INC.
Location:
Online
Length:
5 weeks (24 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 culture and diversity in organizations
Description

Objective:

The objective of this course is to sensitize and enable learners to actively promote diversity and inclusion. The course will systematically help learners to focus inward and learn to detect and overcome their own biases and prejudices. They will learn to appreciate the importance of diversity and recognize impact of actions on inclusion.
This course will also focus on communicating and collaborating with diverse global teams, understanding and appreciating individual differences.

Learners will be educated about important ways in which D&I can become an important part of various organizational processes.

Learning Outcomes:

  • develop an understanding of "diversity", "inclusion" and related concepts, and their importance at workplace
  • identify personal response patterns towards diverse individuals
  • develop ways of detecting and overcoming personal stereotypes and biases
  • communicate respectfully with individuals with diverse characteristics or backgrounds
  • demonstrate more emotionally intelligent behaviors towards diverse coworkers, clients and stakeholders
  • understand and illustrate inclusive organizational practices
  • evaluate your own organization's practices for inclusiveness

General Topics:

  • Self-awareness about one's biases and prejudices
  • Communication skills for demonstrating inclusive behaviors
  • Collaborating with individuals from diverse backgrounds
  • Awareness of D&I practices in organizations
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Discussion
  • Games/Competition
  • Learner Presentations
  • Lectures

Methods of Assessment:

  • Case Studies
  • Other
  • Performance Rubrics (Checklists)
  • Quizzes
  • behavioral assessment (AI based), self-evaluation, qualitative assessment, quantitative assessment, time spent learning, machine learning, based algorithms, sentiment analysis, and 360-degree global mentor feedback loop tied to an algorithm aligned to Bloom’s Taxonomy

Minimum Passing Score:

80%
Supplemental Materials