Enhancing Self-regulation Strategies through Peer Feedback in Online Higher Education

被引:0
|
作者
Guardia, Lourdes [1 ]
Fernandez-Ferrer, Maite [1 ]
Cabrera, Nati [1 ]
Mancini, Federica [1 ]
Maina, Marcelo [1 ]
机构
[1] Univ Oberta Catalunya, Psychol & Educ Sci, Rambla Poble Nou 156, Barcelona 08018, Spain
来源
CENTRAL EUROPEAN CONFERENCE ON INFORMATION AND INTELLIGENT SYSTEMS, CECIIS 2022 | 2022年
关键词
Peer feedback; Chatbot; Self-regulated learning; e-Assessment; e-Feedback; LEARNER;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Specific research addresses the adoption of self-regulation strategies through peer feedback and the use of chatbots for supporting Higher Education institutions to transform online assessment. The purpose of the study presented below was to evaluate the design of a learning activity containing a peer-feedback intervention in order to suggest improvements. A set of data collection instruments was designed and distributed after the first iteration of the experience to gain insights into the students' perception of the peer-review task, designed to enhance their self-regulation capacity and supported by the use of a chatbot throughout the learning activity. The data collected allowed us to identify the learning activity design aspects that should be improved for future iterations to enhance student process performance skills.
引用
收藏
页码:241 / 247
页数:7
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