Analytics of scaffold compliance for self-regulated learning

被引:1
|
作者
Saint, John [1 ]
Fan, Yizhou [2 ]
Gasevic, Dragan [3 ]
机构
[1] Regents Univ London, London, England
[2] Peking Univ, Grad Sch Educ, Beijing, Peoples R China
[3] Monash Univ, Fac Informat Technol, Melbourne, Vic, Australia
来源
FOURTEENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, LAK 2024 | 2024年
基金
英国经济与社会研究理事会; 澳大利亚研究理事会;
关键词
Learning Analytics; Scaffolding; Scaffolding Compliance; Self-Regulated; Learning; Process Mining; Clustering; METACOGNITIVE PROMPTS;
D O I
10.1145/3636555.3636887
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The shift toward digitally-based education has emphasised the need for learners to have strong skills for self-regulated learning (SRL). The use of scaffolding prompts is seen as an effective way to stimulate SRL and enhance academic outcomes. A key aspect of SRL scaffolding prompts is the degree to which they are complied to by students. Compliance is a complex concept, one that is further complicated by the nature of scaffold design in the context of adaptability. These nuances notwithstanding, scaffold compliance demands specific exploration. To that end, we conducted a study in which we: 1) focused specifically on scaffolding interaction behaviour in a timed online assessment task, as opposed to the broader interaction with non-scaffolding artefacts; 2) identified distinct scaffold interaction patterns in the context of compliance and non-compliance to scaffold design; 3) analysed how groups of learners traverse compliant and non-compliant interaction behaviours and engage in SRL processes in response to a sequence of timed and personalised SRL-informed scaffold prompts. We found that scaffold interactions fell into two categories of compliance and non-compliance, and whilst there was a healthy engagement with compliance, it does ebb and flow during an online timed assessment.
引用
收藏
页码:326 / 337
页数:12
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