English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

At present, innovation courses for college students play a vital role in universities. It has also become an important teaching platform for cultivating superior talents. How to improve the level of innovative thinking of college students into high-quality national strategic talents has become a research topic of great concern. However, many university teachers still follow traditional instructional design. It is impossible to implement a customized approach to education. Responding to the deficiencies in the instructional design of innovative training for university students, the support vector machine and K-means clustering algorithms are combined to create a revolutionary network instructional system, which is then used in an undergraduate course. A virtual reality classroom, real-time chat features, and an evaluation system are just a few of the elements that make up this system. It makes it possible to personalize learning, share open data, have real-time debates, and participate in a variety of virtual learning activities. Through the use of conventional datasets, this integrated multi-algorithmic system&#x2019;s dependability is illustrated. It can meet the diverse learning needs of college students and help solve the weaknesses of traditional instructional design. Since 2022, four evaluation techniques have been used to confirm the efficacy of this teaching strategy: student recognition analysis, final test passing rate, competition winning percentage, and classroom activity level assessment. The results support the following: Compared with the traditional teaching design, the novel network instructional system is more conducive to helping college students cultivate learning interests and enhance their innovative thinking level. The adoption and dissemination of this strategy will undoubtedly advance educational research and improve college students&#x2019; capacity for creative thought, fostering the development of top-notch creative talent and advancing sustainable societal development.

ieee access

Influence of College Teacher&#x2019;s Instructional Design on the Development of College Students&#x2019; Thinking of Innovation Multi-Algorithms Perspective Analysis