Dataset · Hugging Face

dedemerve/DecisionTrees-AICFT-Frames

Name: DecisionTrees-AICFT-Frames
Creator: dedemerve
License: cc-by-4.0
Keywords: task_categories:other, language:tr, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, region:us, education, multimodal-learning-analytics, decision-trees, screen-recording

DecisionTrees-AICFT-Frames: CODAP Arbor Screen-Recording Dataset This dataset contains 5,825 behaviour-coded screen-recording frames from CODAP Arbor sessions conducted as part of a decision tree learning activity. CODAP Arbor is an interactive, browser-based machine learning environment in which learners construct and evaluate decision tree classifiers on tabular datasets. Fifteen pre-service teachers were recorded while working in CODAP Arbor; frames were selected… See the full description on the dataset page: https://huggingface.co/datasets/dedemerve/DecisionTrees-AICFT-Frames.

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Author / organization	dedemerve
License (as declared)	cc-by-4.0
Downloads	687 (as reported by Hugging Face)
Likes	1
Created	10 October 2026
Last updated at source	29 October 2026

educationmultimodal-learning-analyticsdecision-treesscreen-recordingbehavior-codingMMLAAICFTUNESCO

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