2022/3, Trimester 2, FACE-TO-FACE,
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Occurrence: | 001 |
Primary mode of delivery: | FACE-TO-FACE |
Location of delivery: | HONG KONG |
Partner: | |
Member of staff responsible for delivering module: | Simone Kurtzke |
Module Organiser: | |
Learning, Teaching and Assessment (LTA) Approach: |
Learning & teaching methods including their alignment to LOs: Online delivery blends with face-to-face introduction and assessment briefings. A core textbook recommended. Students gain experience of a digital learning environment and planning study autonomously. The Module Leader gives online support, moderates a discussion and an exercise sourcing materials. Embedding of employability/PDP/scholarship skills: Students undertake an industry-developed Digital Analytics course that will equip them with practical skills in the main tool used in industry (formative). Students complete aMoodle online workbook including class test covering the role and evaluation of key concepts, tools and techniques of digital analytics (Assignment 1). Students also write a critical essay on Digital Analytics based on a topic from a choice of three (Assignment 2). For both assignments they engage with both academic and practitioner sources to allow critical engagement and facilitate deep understanding of how theory applies to practice. Research/teaching linkages: The searching for appropriate sources in the above sourcing exercise and both assignments ensure familiarity with recent research. Supporting equality and diversity: The delivery mode is adaptable and suited to both full and part-time students. Internationalisation. Examples from Europe, the US and the Far East are used and student-generated examples are encouraged. Summative Assessment: Assignment 1 is an individual assessment (LO2, 3). It consists of a class test (a Moodle quiz for summative ‘take home’ assessment) covering the role andevaluation of key concepts, tools and techniques of digital analytics (30%). Assignment 2 is an essay (3,000 words, 70%) based on a major issue of digital analytics (LO1, 4).
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Formative assessment takes place throughout the weeks of attendance. Students also undertake an industry-developed Digital Analytics course that will equip them with practical skills in the main tool used in industry (formative).
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Summative Assessment: Assignment 1 is an individual assessment (LO2, 3). It consists of a class test (a Moodle quiz for summative ‘take home’ assessment) covering the role and evaluation of key concepts, tools and techniques of digital analytics (30%). Assignment 2 is an essay (3,000 words, 70%) based on a major issue of digital analytics (LO1, 4).
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Student Activity (Notional Equivalent Study Hours (NESH)) |
Mode of activity | Learning & Teaching Activity | NESH (Study Hours) |
Face To Face | Lecture | 15 |
Face To Face | Tutorial | 15 |
Independent Learning | Guided independent study | 170 |
| Total Study Hours | 200 |
| Expected Total Study Hours for Module | 200 |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
Class Test | 30 | 2,3 | 9 | HOURS= 00.00 |
Essay | 70 | 1,4 | 13 | , WORDS= 3000 |
Component 1 subtotal: | 30 | |
Component 2 subtotal: | 70 | | | |
Module subtotal: | 100 | | | |