Methodology

This training area about the creative process in speaking and hosting is one of the first stages for a good knowledge of the radio and TV voice.

Theoretical contents in master class are at the service of practical exercises in Laboratory. Master classes will need of listening to the different exercises.

The practical exercises are oriented to the planning, production and recording different audio clips.

Time devoted to preparing practical exercises belongs to the students’ autonomous tasks as well as readings and listening proposed by the professor.

A detailed schedule A detailed schedule outlining the content of each session will be presented on the first day of the course and will be available on the course’s Virtual Campus, where students will find the various teaching materials deemed appropriate by the instructors and necessary information for effective course monitoring.

In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of assignment development, provided that the final outcome demonstrates a significant contribution from the student in terms of analysis and personal reflection. Students must clearly identify any content generated using AI, specify the tools employed, and include acritical reflection on how these technologies have influenced both the process and the final result of the assignment. Failure to disclose the use of AI in this assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Assessment system is divided in three different parts. The share of this different parts is:

a) Attendance to Seminars: 20%

a) Theoretical exercise: Written test about acquired knowledge throughout school year: 30%

b) Laboratory practice: 50%

Assessment criteria are directly related to the learning achievements. The final grade of students will be determined by the weighted average between marks acquired in different asessment activities. All laboratory exercises are mandatory.

Reassessment activities

Students will be entitled to reassessment in the course if they have been evaluated on a set of activities accounting for at least two-thirds of the total course grade.Students will be entitled to reassessment in the course if they have been evaluated on a set of activities accounting for at least two-thirds of the total course grade.The last three weeks of the academic year are dedicated to reassessment activities for students who have obtained a grade lower than 5 in the final weighted average. In any case the reassessment activities are available to increase marks.

They aren’t revalued tests: the previous exercises to the final exercise.

The main features of this reassessment activities will be promptly communicated.

Plagiarism

Suppose a student engages in any form of misconduct that could significantly affect the outcome of an assessment. In that case, they will receive a grade of zero for that particular assessment, regardless of any disciplinary actions that may follow. If multiple instances of misconduct are detected across different assessment components of the same course, the student will receive a final grade of zero for the entire subject.

This course/module does not provide for a single-assessment system.

Non-Assessable

Following point 9 of Article 266 of the UAB Academic Regulations, if it is determined that the student has not provided sufficient evidence to be evaluated, the subject will be classified as non-assessable.

Artificial Intelligence

In this course, the use of Artificial Intelligence (AI) technologies is not permitted at any stage. Any assignment containing content generated by AI will be considered a breach of academic integrity and may result in a partial or total penalty to the assignment grade, or more serious sanctions in severe cases.The performance of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless this use is expressly authorized by the teaching guide), which may lead to a significant variation in the grade, assumes that this act will be graded with a 0. In the event that the teaching guide foresees that in order to pass the subject it is an essential requirement to have obtained a minimum grade in this evaluation act or that there are several irregularities in the evaluation acts of the same subject, the final grade of this subject is 0. Apart from this, a disciplinary process may be instructed to the student that incurs any of these irregularities. Any student suspected of submitting assignments that have been generated by AI, written by others or copied; include unattributed AI-generated content, or fall outside the permitted scope, may be asked to provide the preliminary work or other materials that can demonstrate it is original work and the result of their own authorship. They may also be asked to separately explain or justify their work. Teachers may also use AI detection systems or carry out any verification tasks they deem appropriate. If, after review, the instructor detects irregularities, the assignment may be graded zero, and the student may be subject to further disciplinary action.