Evaluations form an important part of eLearning courses. But do you know how successful those tests are? Your learners could score by clever guesses for all you know without actually knowing the correct answers. I’m sure you already know how this can distort your eLearning assessment performance. It is where trust-based assessments will step in to make a significant difference.
If you want to remove the guesswork from learners and really be sure of their responses, try trust-based assessments.
Here’s how to support them:
- Identifying places for learners to change
- Stimulating comprehension and growing trust
- Fostering positive thinking
What is an eLearning Evaluation dependent on Confidence?
Here is an example to help you understand the idea of trust-based evaluations.
Assume that the new recruits in the sales department are going through an eLearning course on the products of the business that will soon be launched into the market. By the conclusion of the course, a standard summative evaluation consisting of multiple-choice questions (MCQs) is presented to them.
Now, some of the new recruits can be pretty sure of their responses because they’ve acquired the experience and are able to apply what they’ve learned on the job. And others may not be too confident and might be using guesswork to get the answers correct. Learners can achieve similar scores but that doesn’t mean they’re all able to apply the information on the job.
How can you then distinguish between these learners and determine that they are really able to apply the learning at work? Confidence-based tests will take care of this by removing the guesswork and combining MCQs with the self-perceived trust level of the learners.
Reasons for using Trust-Based Evaluations
Here are three reasons to start your eLearning course using confidence-based assessments.
1. Identify areas of learner development
Dr James Bruno, a professor of education at UCLA, led most work on confidence-based learning. His work led to the development of a 2-dimensional matrix known as the Learning Behavior Model in which each problem assesses both the validity and trust of the learners.
Here’s how every quadrant of the matrix classifies learners:
- Uninformed — Apprentices falling into this group realize they don’t have the expertise and thus lack trust.
- Doubt— Apprentices in this group possess the knowledge but are not secure enough to apply the knowledge. They are more likely to hesitate to perform on-the-job activities.
- Misinformed — Apprentices in this group lack awareness but have high levels of trust. That could set them up for organizational task failure.
- Mastery — In this group, the learners have the expertise and the courage to apply the expertise. Naturally, this makes them more successful on the job.
When using confidence-based tests, learners can be more readily classified and areas of progress established.
For example, when learners assume they know but they don’t really know, it means they’re misinformed and have a higher risk of making mistakes at workplace assigned tasks. Such learners could do more coaching and mentoring.
The spaced repetition can help learners who know but lack trust. Giving opportunities for regular practice to these learners will help improve their level of confidence.
2. Stimulate comprehension and boost levels of trust
Using guesswork, the use of confidence-based tests brings down the probability of performing well. Learners just need to be confident in their skills and then make their choices. This obviously means that learners will have to fully understand the material in the eLearning course before attempting the confidence-based assessment.
Confidence-assessments may also use a trust meter that monitors and shows a scale that changes to represent a positive or negative score, depending on the responses of the learners as they progress through the assessment.
We built a trust meter in Storyline that used’ states,’ which can be activated based on the interaction between a learner and the material. In this case, the reaction of a learner to cause a positive, neutral, or negative state was recorded, and the scale on the confidence meter moved accordingly.
3. Foster Analytical Thinking
A way of promoting positive learning is to use confidence-based tests informative evaluations. Here are some insightful questions that learners may ask themselves.
- Where do I learn my lesson?
- How can I better the way I learn?
Here’s how trust-based evaluations foster reflective learning:
- Learners are encouraged to consider and choose their reactions. That improves the skills of higher-order thinking.
- Apprentices should determine their learning because their responses are either based on sound information or on a guess.
- They boost deeper learning rates, as opposed to rotary learning.
Also, read The Future Of Online Learning
Tying it all together
Trust-Based eLearning assessments will help you get an accurate and practical assessment of the success of the learners. It also helps the staff because they understand that it is not possible to base sound information on guesswork. Self-realization on the value of trust comes along with it, and it will help them get started on ways to boost levels of trust.
Theodore Roosevelt was right when he said: “You should believe and you are halfway there.”
Confidence-based tests offer an incentive for the workers to test their competence and confidence, and to work for both. Have you pursued any of your eLearning courses with confidence-based assessments? If yes, please use the Comments section to let us know if this has helped your workers.