Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates

Research article (Computational Brain & Behavior, 2021) · cited 33× · AI/ML
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Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates

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Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates. Retrieved May 24, 2026, from https://4ort.xyz/entity/alleviating-the-cold-start-problem-in-adaptive-learning-using-data-driven-difficulty-estimates
MLA “Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/alleviating-the-cold-start-problem-in-adaptive-learning-using-data-driven-difficulty-estimates.
BibTeX @misc{4ortxyz_alleviating-the-cold-start-problem-in-adaptive-learning-using-data-driven-difficulty-estimates_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates}}, year = {2026}, url = {https://4ort.xyz/entity/alleviating-the-cold-start-problem-in-adaptive-learning-using-data-driven-difficulty-estimates}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates — https://4ort.xyz/entity/alleviating-the-cold-start-problem-in-adaptive-learning-using-data-driven-difficulty-estimates (retrieved 2026-05-24)

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