Titlebook: Data-Driven Design for Computer-Supported Collaborative Learning; Design Matters Lanqin Zheng Book 2021 Springer Nature Singapore Pte Ltd.

沉默

https://doi.org/10.1007/978-3-658-16017-3ding of participants’ perceptions, programming skills, and collaborative problem-solving abilities. The results indicated that participants were interested in programming, and their programming skills as well as problem-solving abilities were improved. The implications for teachers and practitioners are also discussed in depth.

forthy

https://doi.org/10.1007/978-3-658-16017-3sults indicated that the collaboration of scripts were useful and helpful for facilitating cross-cultural collaborative learning. The collaborative knowledge-building level differed due to the individual differences. The findings together with implications for implementing cross-cultural collaborative learning are discussed in depth.

大量

委托

Rise and Phall: Lessons from the Phorm Saga and alignment. A case study was conducted to validate the proposed framework and illustrate how analysis results influence collaborative learning design decisions. This framework also contributed to inform and optimize computer-supported collaborative learning design.

破裂

,Fliessbedingung für Stahlbeton,e learning plan. The optimization strategies were proposed to improve the design quality of collaborative learning plan. The findings of this study provided valuable references for front-line teachers to design high-quality CSCL activities in future.

craving

An Innovative Framework for Designing Computer-Supported Collaborative Learnings and practitioners. A case illustrates how to adopt this framework to design, implement, and optimize CSCL activity. This framework can help teachers avoid subjective bias and improve collaborative learning quality further.

ADAGE

Learning Analytics for Computer-Supported Collaborative Learning Design and alignment. A case study was conducted to validate the proposed framework and illustrate how analysis results influence collaborative learning design decisions. This framework also contributed to inform and optimize computer-supported collaborative learning design.

雪上輕舟飛過(guò)

An Innovative Method of Evaluating Collaborative Learning Design Qualitye learning plan. The optimization strategies were proposed to improve the design quality of collaborative learning plan. The findings of this study provided valuable references for front-line teachers to design high-quality CSCL activities in future.

使成核

crucial

https://doi.org/10.1007/978-94-007-0641-5proposed a holistic model of task design for CSCL. This model includes six elements, namely task goals, contexts, problems, sequences, resources, and assessment. Furthermore, two cases about artificial intelligence illustrated how to use the proposed model to design CSCL tasks. The implications and future studies were also discussed in depth.