DLIT 3020: Assessing Digital Learning
Effective date
September 2025
Department
Digital Learn Innov Teaching
School
Library, Language, and Teaching and Learning
Description
In this course, students will explore the potential and challenges associated with digital assessment and analytics, particularly the role of generative artificial intelligence (genAI).
Students will consider the ethical and practical implications of various assessment methods and tools, and experiment with a variety of authentic assessment methods and techniques.They will also evaluate and use learning analytics data to enhance student learning and feedback. Students will then apply the assessment and analytics knowledge and skills that they have learned to address a real-world assessment need.
This course uses advanced technology and a robust online interface that allows students to work at their own pace (within syllabus deadlines). Students are expected to interact with other students, colleagues and others and will receive instructor feedback throughout the course.
Students who successfully complete this course will receive the Digital Assessment & Analytics badge.
Year of study
3rd Year Post-secondary
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
- Discuss the implications of AI and other digital tools, practices and services with respect to academic integrity, online proctoring/surveillance and algorithmic accountability
- Explore a variety of digital assessment methods and tools considering their ethical, cultural and practical implications
- Assess the use of available learning data and consider the responsible use of that data to improve student learning
- Apply authentic and alternative assessment approaches that enhance accessibility and inclusivity
- Create a digital assessment activity that supports the reliable evaluation learning outcomes and/ or competence
- Reflect on the evolving digital landscape and its implications for learning assessment
Prior Learning Assessment & Recognition (PLAR)
1. Actual curriculum products / portfolio created and used by the applicant in their workplace which are judged equivalent to course assignments.
2. A successful interview with the School of Instructor Education Department Head or delegate.
3. An essay that describes the development of their thinking on the themes, issues, and concepts in the course.
Hours
Practicum, Self-Paced, Individual Learning: 60
Total Hours: 60
Instructional Strategies
Instructional strategies may include online workshops, experiential learning activities, discussions, online activities, and self-directed learning. Course delivery is fully online.
Grading System
Satisfactory/Unsatisfactory
Passing grade
S is equal to or greater than 61%, student must receive an S on every item in the evaluation plan to earn S in course
Evaluation Plan
|
Type
|
Percentage
|
Assessment activity
|
|
Assignments
|
S
|
Digital learning challenges
|
|
Assignments
|
S
|
Learning context and proposal: assessment, student tech use expectations
|
|
Assignments
|
S
|
Digital assessment
|
Course topics
- Introduction to Digital Assessment and Analytics
Digital Assessment Tools & Practices
Learning Analytics & Data Use
Authentic & Alternate Assessment
Assessment Development
Emerging trends in digital assessment
Learning resources
Online resources: no textbook required.
Notes:
- Course contents and descriptions, offerings and schedules are subject to change without notice.
- Students are required to follow all College policies including ones that govern their educational experience at VCC. Policies are available on the VCC website at:
https://www.vcc.ca/about/governance--policies/policies/.
- To find out if there are existing transfer agreements for this course, visit the BC Transfer Guide at https://www.bctransferguide.ca.