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i-Read

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Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

i-Read is an online reading environment developed by Omheni et al. in which learners upload, annotate, archive, and share texts while the system analyzes annotation traces for reader profiling.

Components

  • i-Read online reading environment with personality profiling from annotations: i-Read is an online reading environment where learners upload reading materials, annotate them, and share annotated documents. Its architecture includes a user annotation interface, an annotation analyzer module, a profile constructor module, and three databases with two servers. The analyzer computes six annotation features (total, average, graphical, textual, reference, and compounding annotation counts), and the profile constructor applies multivariate linear regression to estimate Big Five trait scores. The system "offers, besides the traditional annotation functionalities of creation, archiving and sharing, the functionality of readers' personality modeling based on their digital annotation traces." (Omheni et al. (2017))

Claims

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Key Sources

  • Omheni, N., Kalboussi, A., Mazhoud, O., & Hadj Kacem, A. (2017). Computing of Learner’s Personality Traits Based on Digital Annotations. International Journal of Artificial Intelligence in Education, 27, 241-267. https://doi.org/10.1007/s40593-016-0124-x
Page metadata
Field Value
type product
id i-read
title i-Read
description i-Read is an online reading environment developed by Omheni et al.
status review
product_kind software
generated by process:settle-candidates on 2026-10-27
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