Learning Analytics
Identify meaningful progress signals, support early intervention, and improve retention through responsible data use.
DeepForth AI Research
We conduct rigorous research across learning analytics, AI in education, and teaching practice to help institutions make confident, evidence-based decisions.
Our agenda spans the learner experience, instructional design, and the wider education landscape.
Identify meaningful progress signals, support early intervention, and improve retention through responsible data use.
Evaluate how AI can strengthen feedback quality, personalization, and learner confidence without sacrificing rigor.
Translate sound pedagogy into practical instructional models, assessment design, and scalable classroom workflows.
Track policy, funding, and market developments to help organizations plan strategically in a changing environment.
We combine analytical depth with practical relevance, so findings can move from insight to implementation.
01
We align every study with decisions that institutions, educators, and product teams need to make.
02
Quantitative analysis and qualitative evidence are integrated to build findings that are both robust and actionable.
03
Results are communicated in clear recommendations that support product design, teaching strategy, and policy planning.
We are currently expanding this section with public-facing reports and collaborative studies.
Partner with us to investigate high-impact questions and turn evidence into educational progress.
Contact the Research Team