Call for Proposals: Leveraging LinkedIn Learning Initiatives (LILI) at CUHK

A University-wide call inviting faculties, departments, programmes, and units to develop innovative applications of LinkedIn Learning aligned with CUHK's strategic priorities in AI literacy, digital fluency, and lifelong learning.

Guidance Notes
Application Handling
Application Handling Workflow

The following workflow describes how applications are received, reviewed, and processed — from initial submission through to project activation and ongoing monitoring.

The LILI Sub-Group coordinates all stages of the workflow, engaging Central Units (ITSC, Library, CLEAR, HRO) as needed during review and implementation support phases.

Workflow: Stage by Stage
01
Submission

Applicant selects the appropriate track (Academic or PAS) and submits via the designated platform. A confirmation email is sent upon receipt. Applications are logged and assigned a reference ID.

02
Initial Review

The LILI Sub-Group conducts an initial eligibility and completeness check. Incomplete applications may be returned to the applicant with guidance for resubmission.

03
Consultation & Clarification

Reviewers may reach out to applicants for clarification, additional information, or to discuss refinements to the proposal — particularly for novel or large-scale initiatives.

04
Approval & License Allocation

Approved proposals receive license allocations and onboarding support from ITSC and the Library. Applicants are notified of outcomes and next steps.

05
Project Start & Monitoring

Approved initiatives begin implementation from the agreed start date. Applicants are expected to monitor KPIs and provide periodic updates to the LILI Sub-Group using platform analytics.

Timeline
Submission Timeline
1
1 July

First call opens. Guidance notes and application forms available via the submission platform.

2
1 August

Submission deadline for the first call. All proposals must be submitted by this date.

3
Within ~1 Month

Review and notification. Applicants will be informed of outcomes within approximately one month of submission.

4
7 September

Project start date, aligned with the upcoming academic year. Approved initiatives begin implementation.

5
Rolling Basis

Applications remain open after the first deadline. Subsequent reviews typically occur within ~1 month of submission, subject to volume.

How to Submit
Submission

Submit your completed application via the designated University platform. The submission link will be shared upon opening of the call on 1 July.

Applicants should select the appropriate track (Academic or PAS) at the start of the form. The system will display only the relevant questions for your selected track.

Enquiries

For questions about eligibility, the application process, or LILI more broadly, please reach out to the LILI coordination team before submitting your proposal.

Evaluation Criteria

All submitted proposals will be assessed against the following framework. Reviewers will give highest priority to learner impact and strategic alignment, followed by feasibility and innovative design.

🔴 Benefits (High Priority)
  • Impact on learners (students and/or staff)
  • Alignment with LILI objectives and CUHK's institutional priorities
🟡 Viability & Impact
  • Clarity of objectives, activities, and expected outcomes
  • Feasibility and implementation plan
  • Replicability, sustainability, and well-defined KPIs
  • Cost-effectiveness and resource justification (if applicable)
🟢 Innovativeness
  • Novel pedagogical or learning design approaches
  • Creative use of platform features and curated content
Monitoring & Reporting Requirements

Approved proposals are expected to build in systematic monitoring from the outset. The following requirements apply to all funded and licence-supported initiatives.

Required KPIs

Each proposal must define at least 2–3 measurable KPIs covering both engagement and learning outcomes. Examples include:

  • Number of active users
  • Course completion rates
  • Hours of learning logged
  • Learner feedback and satisfaction scores
Platform Analytics

Proposals should leverage LinkedIn Learning's built-in analytics infrastructure to monitor:

  • Engagement: login frequency, content interaction, pathway progression
  • Skills development trends: skill gap closure, completion by domain
  • Institutional impact: adoption rates, unit-level uptake, reporting for governance