This video is part of an onboarding program specifically tailored to new college graduates.
Audience: New college graduates at a large corporation who are working in an office setting for the first time. They come from a wide variety of backgrounds, socioeconomic statuses, gender, race, etc. These learners lack exposure to the professional workplace and they are digital natives.
Responsibilities: Instructional design, scripting, video creation, and video editing
Tools Used: ChatGPT-4, Google Docs, Vyond Studio, WellSaid Labs
The Problem
New college graduate hires were freshmen when the COVID-19 pandemic hit. As a result, they have little experience acting professionally in an office setting. More experienced colleagues and senior staff members have been unhappy with email correspondence from these new hires.
The most common issues that management is seeing include: the use of unprofessional email addresses; no text in the subject line, all caps in the subject line, or vague or off-topic subject lines; no salutation or an inappropriate salutation such as “Hey”; the use of slang, emojis, text message abbreviations, or all caps in the body of the email; body paragraphs that are unclear and create more work for the recipient; a lack of proofreading for grammatical, spelling, and mechanical errors; no professional email signature with contact information; and attachments that are missing or have vague names like “My Resume”.
The eLearning Solution
Since this training is part of a larger onboarding program, I decided that an animated video would be an ideal solution because:
Videos are engaging and appropriate for this audience and content. The learners in this case are digital natives who are used to consuming a lot of video content on any given day, so this method respects their preferences and that they're comfortable with. To increase engagement, I focused on:
Keeping the video as brief as possible.
Using conversational language with a voiceover that speaks fairly quickly and enthusiastically.
Tapping into learners' visual and auditory processing can maximize working memory. By combining the cognitive load theory of Sweller (1998) and the theory of multimedia learning of Mayer & Moreno (2003), I was able to create a solution that enhances learning and retention. I included the following elements:
Segmenting to chunk information and manage the intrinsic load.
Leveraging the modality principle by limiting on-screen text to the most relevant and impactful, thereby aiding learners' germane load.
Flexible: Learners can use this tip sheet anytime they want and on any device.
Customizable: This tip sheet could be used as a template to deliver any bite-sized learning desired, with minimal re-development time.
This video is part of a larger program that includes ways for learners to actively learn by applying what they've experienced in real-world situations. The follow-up activity to this video is an interactive scenario in which learners guide a new hire as they communicate with their team via email over the course of a week. It's essential to offer opportunities for active learning because:
Learner motivation is increased when they need to immediately apply what they're learning in a real-world situation.
Students can self-assess their understanding of the content more easily when presented with active learning activities instead of a traditional quiz or assessment.
Process
Research
I leveraged the power of AI for this project, along with the expertise of experienced employees and managers. After consulting these SMEs and gaining a deep understanding of their pain points, I jumped into ChatGPT-4 to help me write a script that would target the learning goals we had collaborated on.
The AI Prompt
ChatGPT-4 is a powerful tool designed to assist with tasks that require creativity and advanced reasoning. As with all AI tools, ChatGPT-4 is limited in its functionality and must be guided by robust prompts and a professional instructional designer.
I started by following some best practices for prompt generation.
Context: I asked the AI to take on the specific role of an instructional design consultant tasked with helping me create a ready-for-production video script.
Detailed Information: I included detailed information in the initial prompt and told the AI to ask questions to ensure it had the necessary information to make the script as robust as possible.
Real-Life Examples: To make sure that the response was tailored to the specific company requesting the training, I gave the AI real examples (provided by my SMEs) of mistakes the new grads were making, such as unprofessional email addresses, the use of slang and emojis, inappropriate salutations, etc.
Length of Response: I wanted this video to be less than 4 minutes, so I provided that information up-front in my initial prompt.
Elaboration: Based on my request, the AI came up with eleven questions for me to answer so it could fulfill my request properly. I took my time answering these questions, referring back to notes from my SME interviews, and contacting stakeholders again as needed.
Visual Design
Vyond offers three options for visual design: Business Friendly, Contemporary, and White Board. I decided that the Contemporary scheme would best suit the style of this company and would be easiest to replicate in any accompanying content (Storyline scenarios, PDFs/Job Aids, etc.). I used colors that matched the company style guide and focused on the consistency of font, color, transitions, animations, and backgrounds throughout the video. In all of my visual design work, I focus on the C.R.A.P framework described by Robin Williams in her book "The Non-Designer's Design Book" (2008).
Full Development
After collaborating with Chat-GPT-4 to create a workable video script, I moved it into Google Docs. Here I developed a full script with visual notes, which I shared with my SMEs to get their approval before moving into Vyond. I then developed the video using Vyond Studio, using the built-in text-to-speech to time the animations. To add polish, I recreated the voiceover using one of my favorite AI tools, WellSaid Labs.
Results and Takeaways
This project was a great opportunity to develop my video creation and AI prompt-building skills, both of which are highly requested in the industry. I enjoyed tweaking my conversation with ChatGPT-4 to get the best results and cut down on overall development time. Since this was a fairly long video, I also appreciated the chance to hone my scripting skills.
Learners reported enjoying the video and their performance on the follow-up scenario was high. By adhering to instructional design theory and the principles of multimedia design, I was able to reduce cognitive load and increase learner engagement.