1) Class Attendance (10% of the final grade) — Highly Significant

Punctuality is mandatory. If a student arrives late, this is considered disruptive to the learning environment. If a student arrives more than 5 minutes late, they will be marked absent and will not be allowed to enter the classroom until the next break. The same rule applies when returning from breaks: if the student returns late, an absence will be recorded.

Three absences are permitted without penalty or the need to provide medical or other justification. Any justified absence must be managed through the academic tutor. The student must email their tutor, copying the lecturer, to request approval of the absence.

• 4th absence: deduction of 0.5 points.
• 5th absence: the student receives 0 for the attendance component.

Note: From the 5th absence onwards, the situation is considered serious and the student may be at risk of failing the course.

Only in exceptional circumstances, when the absence has been authorised by the tutor and communicated to the lecturer in advance, may the student join the class online. This arrangement must be confirmed before the session.

2) Individual Activities (30% of the final grade) — Highly Significant

During the course, students will complete two individual activities. The lecturer will provide the instructions, assessment criteria and submission deadlines at the appropriate time.

3) Continuous Assessment of the Core Project (30% of the final grade) — Highly Significant

The core project is developed through 6 submissions, alternating between “Light” and “Advanced” submissions. The Mid-Term is included as one of these submissions.

Submission policy — mandatory

All submissions must be completed.

• If 1 submission is missed, there will be no impact on the final continuous assessment grade.
• From the 2nd missed submission onwards, 0.25 points will be deducted from the continuous assessment grade for each submission not completed.

Graded submissions

All 6 submissions will be graded, including the Mid-Term. All graded submissions will carry the same weight within the continuous assessment component. The lecturer will provide advance notice of the dates of assessed presentations.

In-class monitoring — formative assessment

At the beginning of selected sessions, one group may be chosen at random to give a brief presentation on the progress made since the previous session. These presentations are intended for monitoring and feedback purposes and may influence the assessment of the team’s progression.

Mid-Term

The lecturer will provide detailed information on the Mid-Term instructions, format and assessment criteria at the appropriate time.

4) Final Submission of the Core Project (30% of the final grade) — Highly Significant

• 15%: Written submission.
• 10%: Presentation.
• 5%: Feedback from team members, completed individually.

Retake Policy

Students who fail the course and are required to complete a resit will be assigned an individual piece of work, which must be submitted during the resit period in July. The lecturer will provide detailed information about the resit process. In all cases, the maximum final course grade available through the resit will be 5.

Students who do not pass the course must complete an individual resit project during the established resit period.

The resit project will be related to the e-commerce project developed during the course and must demonstrate the integrated application of the knowledge, competences and learning outcomes addressed in the course.

The resit activity will have its own brief, assessment criteria and rubric. The project must be completed and submitted individually, even though it is related to the group project developed during the course.

Artificial intelligence may be used in the resit project under the same conditions established for the other activities. Students must declare the purpose of its use, the prompts used, the results obtained and the human decisions made.

The maximum grade available through the resit assessment will be 5 out of 10.

Use of AI Tools

If AI tools are used in any activity, students must include a paragraph explaining what the AI was used for and which prompts or instructions were used to obtain the results. Failure to do so constitutes a breach of academic integrity policies.

This course adopts Level 5 of the AIAS scale: full use of artificial intelligence, with additional requirements regarding transparency and academic responsibility.

Students may use generative artificial intelligence tools throughout all stages of individual and group activities, including ideation, planning, initial research, organisation, writing, content creation, review, analysis and improvement of results.

The use of artificial intelligence must always be declared. Each submission must include a section entitled “Artificial Intelligence Use Declaration”, indicating:

• The AI tool or tools used.
• The purpose for which each tool was used.
• The prompts, instructions or guidance entered.
• The parts of the activity in which AI was used.
• The results generated or modified using AI.
• The checks carried out to verify the accuracy, relevance and quality of those results.
• The decisions made directly by the students, specifying which AI proposals were accepted, rejected or modified, and why.

Artificial intelligence is considered a support and co-creation tool. Responsibility for the submitted content, its accuracy, its academic quality and the final decisions always lies with the students.

For group activities, a joint declaration of AI use must be submitted. When individual team members have used these tools in different ways, the declaration must also specify who used each tool and for what purpose.

In peer assessment or Peer Evaluation, AI may be used to organise or formally improve the written feedback. However, the assessment of each team member’s contribution, the evidence provided and the final decision must reflect the student’s own personal judgement.