What is COMM2953 Precision Writing for Digital Engagement?

Direct answer: COMM2953 is the RMIT Vietnam Saigon South code for course 055688, an undergraduate course worth 12 credit points in the School of Media and Communication. Students sharpen digital writing skills with no assumed knowledge, and the handbook marks it as not counting towards an Honours Weighted Average Mark.

The RMIT handbook entry opens with the aim: "Writing a precise sentence that will cut through to your intended audience is a highly valued skill for digital communicators" (RMIT University, n.d.). The description adds that students "examine principles of readability and how word choice and text interact with algorithms to capture audience attention" (RMIT University, n.d.).

Learning runs through face-to-face workshops, tutorials, group and class discussion, online activities and individual and group research, and the handbook lists delivery as hybrid blended learning and online (RMIT University, n.d.). The same course carries a different code on each campus, so read the row that matches yours. Students at RMIT University Vietnam use COMM2953 for Saigon South and COMM2954 for Hanoi.

Source: RMIT University course handbook, course 055688, entry version 1.2 published 2026-03-10, read 2026-10-27.

Direct answer: The handbook lists four course learning outcomes: discuss the ethical use of emerging technologies, apply precision-writing tools, produce content to a brief, and critically reflect on your practice. It publishes no task list or weights, so take assessment details from the Canvas course guide and your coordinator.

The third outcome asks you to "Produce a range of effective written content appropriate to professional digital communication contexts and adapt your writing according to a brief" (RMIT University, n.d.). The handbook version read on 2026-10-27 lists no assessment tasks or weightings, and its only assessment statement is "Feedback will be given on all assessment tasks" (RMIT University, n.d.).

Plan from the outcomes instead. When the task sheet arrives, match each task to one or more of the four outcomes below and gather the evidence in the right-hand column. For a second Media and Communication example of this method, compare the COMM2939 Introduction to Digital Communication guide.

Source: RMIT University course handbook, course 055688, read 2026-10-27. The right-hand column is a planning aid written by MAAS, not an RMIT rubric.

Direct answer: Cut words that carry no information, put the key word first, give each paragraph one idea and format for scanning. Then test with real readers, because lowering a reading-grade score alone did not raise knowledge in a randomised trial of 2,235 adults (Mac et al., 2025).

Start with verbs. U.S. General Services Administration (n.d.) observes that "Too often, we hide verbs by turning them into nouns, making them less effective and using more words than we need." The 30-word notice hid "analyse" inside "conducting an analysis of".

Readers scan more than they read. Morkes and Nielsen (1997) tested five versions of one website with 51 users, and the concise version scored 58% higher in measured usability, the scannable version 47% higher and the combined version 124% higher. Pernice (2019) reports that "In the absence of subheadings and bullets, users tend to fixate on the words toward the beginning of lines and toward the top of the page", so open each heading with its information-carrying word, as the inverted pyramid does.

Treat formulas as a check, not a target. By the Flesch Reading Ease formula, MAAS hand calculation gives the 30-word sentence about 55 (43 syllables) and the 9-word rewrite about 47 (16 syllables), so the formula rates the better sentence as harder. Mac et al. (2025) found a similar gap between score and understanding among 2,235 adults: mean knowledge stayed between 8.9 and 9.1 across grade 8, 10, 12 and 14 versions, and "there is limited value in reducing grade reading level without attention to other health literacy principles" (Mac et al., 2025, p. 1820).

Direct answer: Follow the guidance your course coordinator gives for each activity, use a tool only where that guidance allows it, check everything it produces and acknowledge the use. The handbook says students must reference generative AI tools "according to the Library guidelines" (RMIT University, n.d.).

The handbook states that "Students must acknowledge and reference the use of generative AI tools according to the Library guidelines and in accordance with academic integrity requirements and policies" (RMIT University, n.d.). Because the first outcome asks you to discuss ethical use, a tool is both a method and a topic in this course.

Verification matters because of how these tools work. Rentier (2025) explains that "It does not retrieve information, it generates based on those near-500 billion tokens of text from databases such as Wikipedia and Reddit" (Rentier, 2025, p. 3422), and that the result can be "text that feels coherent but lacks factual or logical accuracy" (Rentier, 2025, p. 3422).

Declaring is where students slip. At King's Business School, up to 74% of students failed to complete a mandatory AI declaration, and in the survey 79% reported using AI tools while only 65% of them consistently completed it (Gonsalves, 2025). Gonsalves (2025) wrote that "A pervasive theme among students was the fear of academic repercussions associated with declaring AI use". Keep a log of the tool, its purpose, what you changed and what you checked, and read our guides on disclosing AI use and what to do if accused of using AI.

Direct answer: Write the reflection as an argument about your own drafts: name one choice, show the before and after, explain why it suits the reader and say what you would change next time. The fourth outcome makes this reflection assessable, so evidence beats description.

The University of Edinburgh (n.d.) Reflection Toolkit explains that "Gibbs' Reflective Cycle was developed by Graham Gibbs in 1988 to give structure to learning from experiences" and sets out six stages: description, feelings, evaluation, analysis, conclusion and action plan. The toolkit adds that "by thinking about each stage you are more likely to engage critically with your learning experience" (University of Edinburgh, n.d.). The cycle is one model of reflective practice, so follow the format your task sheet sets.

Source: stages from University of Edinburgh (n.d.); the example column is written by MAAS for this guide.

A critical reflection for COMM2953 Precision Writing for Digital Engagement also admits limits. The formula score of 47 for the rewrite is the kind of tension worth discussing instead of hiding. Our guide on how to write a reflection essay and the COMM2495 Professional Writing guide show how to turn such a tension into an argument.