@inproceedings{ba664c7e4da24d3dba792cc6e42e91c9,
title = "Process-Oriented Definition of Evaluation Indicators, Learning Behavior Collection and Analysis: A Case Study",
abstract = "The burgeon of online education platforms and online training platforms represented by MOOC has brought new development opportunities for educational innovation. In so many educational and training scenarios, there is a large amount of distributed users' learning data, which leads to the non-standardization of learning data collection and the non-uniformity of storage. In this paper, we design a process-oriented model for evaluating learning indicators. Then, we take KFCoding, which is an online training platform, as a case study to gather data for the learning process. Finally, we model the collected data and analyze the relationship between learning process data and learning outcomes.",
keywords = "Data collection, Learning behavior, Online learning platform, Process-oriented",
author = "Jiakuan Fan and Wei Wang and Haiming Lin and Yao Liu and Chang Liu",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 1st BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020 ; Conference date: 30-10-2020 Through 03-11-2020",
year = "2021",
doi = "10.1007/978-981-16-1160-5\_29",
language = "英语",
isbn = "9789811611599",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "369--380",
editor = "Wanling Gao and Kai Hwang and Changyun Wang and Weiping Li and Zhigang Qiu and Lei Wang and Aoying Zhou and Weining Qian and Cheqing Jin and Zhifei Zhang",
booktitle = "Intelligent Computing and Block Chain - 1st BenchCouncil International Federated Conferences, FICC 2020, Revised Selected Papers",
address = "德国",
}