If you're an L&D expert, instructional designer, or anything in between, chances are you use Articulate Storyline and already know how to create interactive videos in the tool.
It's the learning industry's favorite tool to build responsive and interactive e-learning courses with gamification, branching scenarios, interactive video elements, and more.
But using an industry-favorite tool doesn't instantly guarantee the best results. Building courses with intention, and using research-based tips does.
So this blog post isn't about showing you how to create interactive videos in Articulate Storyline 360 from scratch or using all the different features of the software.
It's about showing you how you can elevate your e-learning content library and make interactive videos even more engaging by applying the Personalization Principle and using feedback in a constructive way that leads to subject mastery.
Tip #1: Use avatars as learning companions 👭
The first method explores using a friendly face for positive reinforcement throughout the e-learning experience in the form of an avatar.
But first, let's discuss the theory behind this.
Research: Personalization Principle
Let's turn to a classic in the L&D space, e-Learning and the Science of Instruction by Ruth Colvin Clark and Richard E. Mayer. More specifically, the Personalization Principle described in the book.
The Personalization Principle states that we, as humans, are naturally social creatures and we like to be engaged in conversation.
Following this logic, Clark and Mayer also suggest that adding a visual character can simulate a person-to-person interaction and increase learner engagement in e-learning.
The idea is that when we can visualize the person speaking, we feel more connected as if we’re having a conversation with someone.
A learner might even see the character as a guide of sorts, so they feel less isolated and more comfortable in the learning process.
When you’re a new employee or mastering a new task, a friend can be a huge help!
Examples of learning companions
Whether we know it or not, we've likely been exposed to a learning companion or two throughout our lives.
Think of Duo from the language learning app Duolingo, Wheatley from the game Portal, video hosts from Udemy learning videos, or coaches in workout videos.
Animated and real-life characters have been helping us throughout our learning journey by providing positive reinforcement and timely feedback, and it's a good idea to introduce one in your next e-learning project as well.
There's just one tiiiny caveat.
Problem: Personalization isn't easy
As a learning professional, you're probably already aware of the Personalization Principle and the importance of learning companions in e-learning.
But there are 3 main setbacks in using learning companions in interactive videos: price, time, and skills.
Whether you want to use an animated character, a subject matter expert (SME), or an actor in your interactive videos, you will encounter at least 2, if not all 3 of the setbacks.
Creating an animated character with a professional animation studio is costly, and time-consuming. Making it yourself requires skills and time to learn those animation skills.
Filming interactive videos with SMEs or actors in a professional studio can cost upwards of $2000 per minute of video. And take a few weeks to complete from start to finish. 😕
So what's the solution for those that have neither time, money, or video production skills, but want to level up their e-learning in Articulate Storyline 360?
Solution: AI avatars as learning companions
The solution is using human-like AI avatars, like those generated by Synthesia STUDIO.
Now, the concept of an AI avatar might be foreign to some of you, so let's have an AI avatar break it down:
3 reasons to use an AI avatar in e-learning
1. AI avatars are easy to use
Unlike animated characters, you don't need any design or animation skills to use AI avatars.
All you need to do is choose an avatar you like in Synthesia, type in your script, and the avatar will narrate the script in 60+ languages.
2. They are realistic and diverse
Synthesia's avatars are based on real actors, which makes them more realistic than computer-generated characters.
Besides, the library of avatars is constantly growing to represent a vast array of diversity, so you can pick an avatar your learners can relate to.
3. They are easy to update
With traditional video production, updating an interactive video isn't a lot of work - casting the actor again, paying for a studio and production crew... Doing that over and over again every time the video needs to be updated is just not scalable.
Editing a video with an AI avatar is as simple as adjusting the script in the video and generating it again. This can take as little as 5 minutes.
How to pick the right AI avatar
One of the most important factors you have to consider when using an AI avatar is choosing one that the learners can relate to.
When choosing an avatar, keep the following factors in mind about your target audience:
- Learner profile: gender, age, location
- Industry: corporate, industrial, creative
- Branding: clothing colors
- The subject matter of the training: compliance, onboarding, etc.
A compliance e-learning video in a corporate setting will require a different avatar than, let's say, an onboarding video for a design agency.
It's also important to keep the avatar's clothing colors in mind - make sure they complement the brand colors used in the video, otherwise, the clash of colors may be distracting for the learners.
Inserting and editing a Synthesia video in a Storyline project
If you're interested in learning how to insert Synthesia's learning companions into Articulate Storyline to create an interactive video, we made a whole webinar describing the process step by step.
Tip #2: Deepen engagement with custom feedback 🗣
According to a study done by Officevibe, 40% of employees feel disengaged when they receive little to no feedback.
When used correctly, feedback can be an invaluable tool for learners' engagement and motivation.
But what is the best way of giving feedback?
Let's turn to John Hattie and Helen Timperley for answers.
Research: The Power of Feedback
The 2007 paper by J.Hattie and H.Temperley analyzes the influence of feedback on learning & development
One of the analyses looked at how people react to feedback given through different mediums. The results show that people were very responsive to good feedback given in the form of audio, video, or computer-assisted feedback, whereas written feedback wasn't favored.
The key phrase in the above finding is "good feedback." In this case, good feedback provides cues or reinforcement to the user, and is:
1. Timely: immediate feedback is more effective than delayed.
2. Sensitive: people respond better to kind, friendly, and informal feedback.
3. Clear & concise: say it as it is and explain why. Don't recap the whole lesson or introduce new information.
4. Demonstrates real-life consequences: it helps people understand how knowing this information will impact their day-to-day activities.
Using avatars as coaches to give feedback
So using the above research as a building block, we're moving beyond using AI avatars as just learning companions - we're using them as coaches that deepen learners' engagement by providing personal, constructive, and good feedback.
3 reasons for using avatars for giving feedback
1. They can be a familiar face
If the avatars have been used consistently throughout the module/e-learning project as learning companions, they are seen as familiar, non-threatening faces to break the news and provide feedback.
2. They're more empathetic and personal
Hearing feedback from a real person is much more empathetic and personal than reading from a pop-up with text. And since the AI avatars are modeled after real people, they can invoke (almost) the same level of empathy as real coaches.
3. They are a good medium between real people and pop-ups
Using a real person from your organization, like the CEO or manager, might be off-putting and feel slightly too real to the employees while using text-based popups is not personal enough.
How to build custom feedback slides in Articulate Storyline
Instead of breaking down the process into a wall of text, check out this video for a live demonstration:
Tip #3: Build mastery with feedback 🎓
This last method of increasing engagement in Articulate Storyline videos uses feedback slides that reinforce learning and lead the users closer to mastery of a subject.
Research: Learning for Mastery
For this method, we're using a paper that shook up the L&D world in 1968, but one that is still relevant today - Learning for Mastery by Benjamin Bloom.
The paper describes how we can deepen learners' understanding and make sure they're taking away a full understanding of what they were supposed to have learned.
2 key takeaways from the paper
1. Mastery of the subject has to be demonstrated before moving on
2. If mastery is not demonstrated, intervention and reinforcement have to be implemented
To do this, we have to move away from a conventional learning model with generalized feedback, which can lead to disengagement and feeling self-conscious, leading to poor performance.
And move towards the mastery learning model, where you move on to the next topic once mastery is demonstrated, or go through re-teaching & correctives if non-mastery is demonstrated.
How to build reinforcement paths in Storyline
To put the mastery learning model into practice when creating interactive video in Storyline, you have to build reinforcement paths.
We have a whole video dedicated to that:
Tip #4: Create interactivity with avatars
Above we've discussed the science behind using AI avatars as learning companions in deepen engagement and provide custom feedback.
But, how do we move beyond using avatars as just narrators, and instead turn them into interactive learning agents?
Sure, interactivity in elearning and specifically Storyline can be created mechanically through buttons, variables, and branching. But knowing how to use avatars in conjunction with mechanical variability can take your learning experience to the next level. 🔝
The answer lies in using avatars as pedagogical agents, that represent different ways of receiving, perceiving, and learning information.
3 types of pedagogical agents
1. Avatars as authorities
In this case, authoritative avatars act as top-down educators: SMEs, teachers, mentors, facilitators, and the like.
Authoritative pedagogical agents are seen as domain experts, and learners trust that they know exactly what they're talking about.
In general, any topic can be delivered by an authoritative avatar. But we particularly recommend using them for the following scenarios:
Because these scenarios require factually-correct information to be delivered by a trusted, authoritative source.
2. Avatars as peers
Another option is to use avatars as peers to provide different perspectives and solutions to a problem and allow learners to interact with other people's ways of thinking.
In the case of corporate elearning, avatars would most often represent fictional colleagues as peers.
Using this method is most useful for topics like:
- customer service training
- modeling difficult conversations
This method works well for these situations because it provides a safe space to fail for the learner and shows a diversity of opinions.
3. Avatars as novices
This option is the least-used one in elearning, but it can be a powerful one if implemented correctly.
A novice is anyone that knows less than the learner. In this case, you essentially flip the experience back on the learner to help them recall and apply previously learned knowledge.
It's particularly useful for putting people in situations of uncertainty, where they are forced to use judgment calls and make decisions, i.e.:
- mastery testing (see tip #3)
- management training
How does it work?
Well, it forces the learner to identify gaps in their knowledge. Instead of being told what they need to know, learners need to extract their existing knowledge.
With these 3 types of pedagogical agents combined with mechanical interactivity in Storyline, you can create representations of human interactions and emulate life-like behavior in elearning.
See more in our webinar on the topic:
Take your next Articulate Storyline course to the next level
That’s it for our four research-based tips on how to make your storyline video more engaging. We hope you found these tips helpful and that you will take the time to experiment with them in your own videos.
By using avatars as learning companions, providing custom feedback, and using the mastery learning model to give feedback, you'll be on your way to creating videos that keep your viewers hooked from beginning to end.
And if you want to give AI avatars by Synthesia a go, you can create a free training video on the website.
Finally, remember that mastery takes practice – keep building those skills by experimenting with Synthesia and Storyline!