Research on Evaluation of Course Learning Outcomes Achievement for Data Jurisprudence
- DOI
- 10.2991/978-94-6463-803-5_72How to use a DOI?
- Keywords
- data jurisprudence; course teaching; teaching evaluation; learning outcomes achievement
- Abstract
The Data Jurisprudence is an interdisciplinary professional course integrating modern computer science technologies such as big data, artificial intelligence, cloud computing, and network connectivity with the field of law, aimed at training talents proficient in both law and big data[1]. This paper introduces the basic concepts and connotations of data jurisprudence, formulates the teaching objectives of the course, adopts evaluation methods including attendance, classroom teaching and interaction, computer training practice, and after-class assessments, and assigns specific weight proportions to various assessment methods to evaluate the achievement of the course’s learning outcomes[2]. Practice has shown that this outcome-based evaluation is reasonable and feasible, and it holds significant importance for the teaching effectiveness and high-quality development of the course.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuanwei Zhao PY - 2025 DA - 2025/07/31 TI - Research on Evaluation of Course Learning Outcomes Achievement for Data Jurisprudence BT - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025) PB - Atlantis Press SP - 740 EP - 748 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-803-5_72 DO - 10.2991/978-94-6463-803-5_72 ID - Zhao2025 ER -