Titlebook: Computer Science and Education. Teaching and Curriculum; 18th International C Wenxing Hong,Geetha Kanaparan Conference proceedings 2024 The

MURAL

https://doi.org/10.1057/9780230508644 cultivate law students’ ability of “entrepreneurship and innovation” and character building. We should rely on judicial big data and take the “task-driven” teaching mode as the main line to create a “entrepreneurship and innovation” talent training path for law students.

harbinger

小卒

Constrain

Exploration and Analysis of the Training Path for of “Mass Entrepreneurship and Innovation” Talents cultivate law students’ ability of “entrepreneurship and innovation” and character building. We should rely on judicial big data and take the “task-driven” teaching mode as the main line to create a “entrepreneurship and innovation” talent training path for law students.

得体

Design on Experimental Dataset and Task for Teaching in Data Science and Machine Learningesign new experimental tasks and build dataset with the participation of the students. In this paper, we introduce our live examples to design experiments with hand-crafted dataset, crawling-base data, and live generated IoT data.

Semblance

准则

disparage

https://doi.org/10.1007/978-3-0348-5864-9asis of problem solving, the ability of computational thinking and collaborative learning of students was improved. Furthermore, the conclusion summarizes the main ideas, and further work perspectives.

Inculcate

Construct the Knowledge Graph of Information Security Introduction Course to Help Subject Teachingintelligent and efficient way of knowledge organization, is introduced into the teaching of information security introduction course. For the knowledge of “information security” course, a visual knowledge graph is constructed, and then the teaching resource platform of the course is formed.

coagulate