HKU Data Repository

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Reason: The dataset contains sensitive information from the study participants

SupportingData for "Supporting Students’ Collective Idea Improvement Through Analytics-Augmented Metadiscourse in Knowledge Building"

posted on 2023-09-11, 03:11 authored by Yawen YuYawen Yu

The study was conducted in a Singaporean secondary school science class and the participants were 22 8th grade students. The study lasted in six-weeks and was supported by two types of learning analytical tools. The study was designed in four phases to examine the impact of different learning analytics and meta discourse on students’ different types of knowledge building inquiries. Multiple types of data were collected, including tests on students’ conceptual understanding, open-ended questions, students’ KF discourse, artifacts including concept maps and group worksheets, and classroom discourse. Multiple types of analytical techniques were used, including thematic, inferential, social network analysis, and epistemic network analysis.