EdTech & AI Updates
Notes on EdTech and AI in education: research, tools, and trends that inform how Sudar is built and where we think adaptive learning is heading.
Adaptive instruction & ITS
VanLehn (2011), Aleven et al. (2016), and others show that adaptive learning and intelligent tutoring outperform one-size-fits-all delivery. Mainstream LMSs still rarely offer longitudinal learner models or memory-aware tutoring; Sudar is built to close that gap.
Multimodal & dual coding
Mayer, Clark & Mayer: offering content in multiple formats (text, audio, visual, interactive) supports different learners and deepens encoding. Sudar is modality-agnostic so learners can choose or be guided to the format that fits.
Cost collapse in AI inference
Open-weight models and zero-cost TTS (e.g. Edge-TTS) make AI-native learning economically viable at pennies per learner per month in our reference setup, compared with traditional authoring tools and proprietary AI stacks.
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