Digital Fluency in the Artificial Intelligence-Enabled Enterprise Course Descriptor

Course Overview

This course is delivered as a two-week, intensive, face-to-face bootcamp. Organisational leaders preparing for the future of digital advancement recognise the importance of accurately assessing the value of information resources, improving processes at all levels of the organisation, and preparing their workforce to make the most efficient and effective use of information systems deployed. Leaders faced with the challenge of preparing themselves and others for the next generation of human-computer interaction recognise that technology is a double-edged sword that presents opportunities and threats simultaneously. To meet this challenge, leaders must improve their digital fluency – the syntax knowledge, sociolinguistic sensibility, accessibility, sustainability issues – and strategic expertise that a person gains and demonstrates in their use of information resources.

This course considers cognitive frameworks, including critical thinking, design thinking, and systems thinking. It introduces learners to the integration of artificial intelligence into information systems, fostering an understanding of its applications. Learners gain insights into the multifaceted aspects of AI, discerning its value, potential, and challenges. The course focuses on design and deployment aspects, enabling participants to focus on the practical implementation of AI rather than development and coding.

Learning Outcomes

On successful completion of the course, students will be able to:

Knowledge and Understanding

Subject Specific Skills

Transferable and Employability Skills

Teaching and Learning

This is a face-to-face bootcamp, of two weeks duration, taught once every year.

This course can be offered as a standalone short course.

Teaching and learning strategies for this course will include:

• Lectures
• Informal discussion groups
• Practical sessions
• Assessment

Course information and supplementary materials will be available on the University’s Virtual Learning Environment (VLE).

Learners are required to attend and participate in all the formal and timetabled sessions for this course. Learners are also expected to manage their self-directed learning and independent study in support of the course.

The course learning and teaching hours will be structured as follows:

• Off-the-job learning and teaching (12 days x 7 hours) = 84 hours
• On-the-job learning (10 days x 7 hours) = 70 hours

Apprentices will complete workplace activities before and after the bootcamp, as part of their on-the-job learning. Preliminary activities include reading and workplace research and post-bootcamp activities will include completion of the assignments (see below).

Assessment

Formative

Learners will be formatively assessed during the course by means of set assignments. These will not count towards the final degree but will provide learners with developmental feedback.

Summative

Assessment will be in two forms:

Feedback

Learners will receive formal feedback in a variety of ways: written (via email correspondence); oral and indirectly through discussion during group tutorials. Learners will also attend a formal meeting with their Academic Mentor and Employer. These tri-partite reviews will monitor and evaluate the learner’s progress. 

Feedback is provided on summatively assessed assignments and through generic internal examiners’ reports, both of which are posted on the VLE.

Indicative Reading

Note: Comprehensive and current reading lists for courses are produced annually in the Course Syllabus or other documentation provided to learners; the indicative reading list provided below is used as part of the approval/modification process only.

Books

• Briggs, C. and Makice, K., (2012), Digital Fluency: Building Success in the Digital Age, Digital Fluency
• Callan, R., (2003), Artificial Intelligence, Basingstoke: Palgrave Macmillan
• Van Emden, J. and Becker, L., (2016), Presentation Skills for Students, Basingstoke: Palgrave Macmillan

Journals

Learners are encouraged to read material from relevant journals on Digital Fluency and/or Artificial Intelligence as directed by their course trainer.

Electronic Resources

Learners are encouraged to consult websites on Digital Fluency and/or Artificial Intelligence.

Indicative Topics

• Artificial Intelligence within Information Systems
• Recommendation Engines
• Voice-Activated Transaction Processing

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