National Formosa University Higher Education Sprout Project
Call for Applications for Self-Directed Learning Courses for the 1st Semester of Academic Year 2025 (Online Application)
Announced on August 12, 2025
The application for self-directed learning courses is conducted through the “Online E-Form Signing System.”
The main categories this semester are Cross-Disciplinary Learning and AI Technology Courses.
Please read the announcement carefully, as relevant application regulations and documents have been updated to avoid affecting your rights.
◎ Course Application:
1. Applicants must be undergraduate or junior college students of our university, forming a team of at least 5 students.
2. To ensure reasonable allocation of teaching resources, each full-time faculty member may advise only one course per stage.
3. Application deadline:
```|
Application Period |
Review Results Announcement |
Course Selection Schedule |
|
From now until 9/12 (Fri) ```(Deadline: 12:00 noon) |
Expected announcement in Week 4 of the semester (Course period: Oct. 7 – Dec. 26, 2025) |
From the announcement of results until one week before the official course start date. A minimum of 10 students is required; otherwise, the course will not be offered. |
4. Submission instructions: Please apply via the university’s “Online E-Form Signing System” (https://eisms.nfu.edu.tw/login) and upload the “Self-Directed Learning Course Application Form.” Operation instructions are provided in the attachment or on the Office of Academic Affairs webpage.
5. Courses will only be offered after approval by the Adaptive Learning Flexible Credit Course Committee, and must reach 10 or more enrolled students one week before the course begins. The review process is competitive and based on merit.
◎ Course Description:
1. A self-directed learning course allows students to form teams based on areas of interest and plan their own learning content. The essence of self-directed learning emphasizes student-driven planning to cultivate initiative, motivation, and learning effectiveness.
2. Course Categories:
(1) Cross-Disciplinary Learning: Extends students’ learning scope, introducing the integration of different professional fields. Through interdisciplinary knowledge, students explore course themes or topics to develop secondary skills or knowledge. (Courses involving fields outside one’s major or combining one's major with another field.)
(2) AI Technology Courses: Courses integrating AI technology, guiding students to understand and learn relevant content to enhance future development and application.
3. Each course is limited to 1 credit. Credit calculation: 18 hours = 1 credit. According to Ministry of Education regulations, a single course may not have 4 or more consecutive periods nor be conducted intensively within a short period.
4. A supervising instructor must be assigned. The instructor must be a full-time faculty member of the university and may be selected by students to assist in course planning.
5. If industry experts are invited to teach, the “Industry Expert Information Form” must be submitted. Qualifications must comply with the university’s “Industry Expert Co-Teaching” regulations.
6. Key review criteria:
```|
Course Item |
Review Criteria |
|
Course Motivation & Purpose |
(1) Are the self-directed learning goals clearly defined? ```(2) Does the proposal align with the principles of self-directed learning? (3) Does the proposal highlight students’ active learning roles? |
|
Course Format & Content Design |
(1) Is the course theme designed and led by students? (2) Is the course plan complete and does it clearly explain the learning activities? (3) Does the content align with the course theme? (4) Does the content have clear differentiation and necessity compared with formal courses? (5) Does the content reflect cross-disciplinary or AI-related elements? (6) Does it demonstrate depth or expansion of professional knowledge/skills? (7) Are the proposed industry experts qualified in the relevant field? |
|
Expected Outcomes |
(1) Does the proposal meet the self-directed learning goals? (2) Does it meet cross-disciplinary or AI technology learning outcomes? (3) Does it enhance professional knowledge and practical skills? (4) Are the expected learning outcomes or deliverables clearly stated? |
7. Applications may not duplicate funding applications submitted to other units under the Higher Education Sprout Project.
8. According to Ministry of Education regulations, courses must be conducted in-person and are not eligible for distance learning.
9. Approved courses must participate in future exhibitions or produce a course成果booklet as required.
◎ Funding Guidelines:
1. Funding is provided by the Higher Education Sprout Project. Approved courses may receive up to NT$20,000 based on the following items:
(1) Industry expert teaching fee: up to NT$2,000 per hour, following university regulations.
(2) Supplementary insurance fee for expert teaching: 2.11% of total teaching fees.
(3) Expert travel fees: bus, TRA, or THSR only; taxi or personal vehicle fuel is not reimbursable.
(4) Supervising instructor teaching fees: reimbursable if actual teaching occurs, based on MOE part-time teaching fee standards.
(5) Instructor supplementary insurance: 2.11% of total teaching fees.
(6) Material fees: course-related materials (textbooks not supported).
(7) Printing costs: photocopying, printing, poster output; samples must be attached. (Max. NT$3,000)
(8) Miscellaneous expenses: stationery, postage, computer consumables (max. 6% of total funding).
2. Reimbursement for the 1st semester of AY114 must be submitted by Nov. 28, 2025 (Fri) to the Cross-Disciplinary Learning Center office. Late submissions will not be accepted.
3. If the Sprout Project funds are already applied for, the course may not be executed concurrently with another Sprout-funded course to avoid duplicate funding.
◎ Submission of Final Course Report:
1. Please submit the following by January 2, 2026 (Fri):
(1) Course Final Report: including course materials, reflections, class roster, and activity highlights.
(2) Learning Outcome Surveys: pre- and post-course surveys; links will be provided after approval.
(3) Student Evaluation Sheets (Grades): uploaded by supervising instructors via the ecare system (“Grade Submission – Adaptive Courses”).
(4) Original class photos: at least one photo of teaching activity per session.
(5) Course成果Video (optional): minimum 2 minutes, showing class process, student experiences, interviews, or course materials.
※ Courses submitting videos will participate in the video selection event, and outstanding作品may receive additional awards.
- Reports will be reviewed by the Adaptive Learning Flexible Credit Course Committee. If execution is deemed insufficient, the committee may suspend the course’s qualification for next semester’s application.
- Submitted reports, photos, and videos must grant the Office of Academic Affairs non-profit and public-use authorization.
4. Courses designated to participate in成果exhibitions or presentations must cooperate. Additional funding will be provided as needed.
◎ Credit Recognition for Self-Directed Learning:
1. Please apply for 1 credit recognition through the university’s “Online Academic Affairs Application System.” See the Academic Affairs website for details (https://reurl.cc/NxQ6qm).
- Graduating students may apply anytime during the semester.
- Non-graduating students must apply during the add/drop period of each semester.
- Credit recognition is limited to undergraduate, two-year junior college, and five-year junior college students.
◎ The course planning form has been updated; please use the latest version.
◎ For any questions regarding this announcement, please contact us.
National Formosa University Office of Academic Affairs — Higher Education Sprout Project
Contact: Project Assistant Erin Su
Phone: 05-6313124
Email: erinsu@nfu.edu.tw
Office: 4F, Administration Building, Cross-Disciplinary Learning Center (formerly Sprout Office)
