張林鳳 丁希祥
摘 ?要:文章旨在探討基于數(shù)智化的物流管理專業(yè)教學(xué)改革。數(shù)智化時(shí)代為教育帶來(lái)了新機(jī)遇和挑戰(zhàn),闡述了課程內(nèi)容優(yōu)化、教學(xué)方法創(chuàng)新和教學(xué)資源數(shù)字化共享等改革策略。同時(shí),強(qiáng)調(diào)智能化教學(xué)工具的應(yīng)用和與企業(yè)合作的實(shí)際項(xiàng)目實(shí)踐在教學(xué)中的重要性。然后,分析了教學(xué)改革面臨的技術(shù)應(yīng)用挑戰(zhàn)與模式變革難點(diǎn),并展望了人工智能與大數(shù)據(jù)在教學(xué)中的未來(lái)應(yīng)用。文章將有助于培養(yǎng)更具實(shí)際操作能力和創(chuàng)新思維的物流管理人才,為數(shù)智化時(shí)代的物流行業(yè)發(fā)展做出貢獻(xiàn)。
關(guān)鍵詞:數(shù)智化;教學(xué)改革;人工智能;大數(shù)據(jù)
中圖分類號(hào):F250; G642文獻(xiàn)標(biāo)志碼:ADOI:10.13714/j.cnki.1002-3100.2024.11.047
Abstract: This paper aims to explore the educational reform of logistics management based on digital intelligence. The digital intelligence era has brought new opportunities and challenges to education. This study elucidates reform strategies such as curriculum content optimization, innovative teaching methods, and digital sharing of teaching resources. Emphasis is also placed on the importance of applying intelligent teaching tools and engaging in practical projects with enterprises. Subsequently, the challenges posed by technological application and the difficulties in transforming teaching modes are analyzed, followed by a prospect of the future applications of artificial intelligence and big data in education. This research will contribute to cultivating logistics management professionals with practical operational skills and innovative thinking making a significant contribution to the development of the logistics industry in the digital intelligence era.
Key words: digital intelligence; educational reform; artificial intelligence; big data
0 ?引 ?言
隨著信息技術(shù)、人工智能、大數(shù)據(jù)等技術(shù)的迅猛發(fā)展,數(shù)智化逐漸成為現(xiàn)代社會(huì)的核心特征。數(shù)智化,即數(shù)字智能化,是將信息技術(shù)與各個(gè)領(lǐng)域深度融合的過(guò)程,它以數(shù)據(jù)為基礎(chǔ),借助人工智能和機(jī)器學(xué)習(xí)等手段,實(shí)現(xiàn)信息的智能化加工、分析和運(yùn)用。在物流管理領(lǐng)域,數(shù)智化不僅涵蓋了信息化的范疇,更強(qiáng)調(diào)了數(shù)據(jù)的智能應(yīng)用,通過(guò)全面連接、實(shí)時(shí)監(jiān)控以及智能決策,為物流運(yùn)作提供了更高效、更精準(zhǔn)的方式。因此,深入理解數(shù)智化的內(nèi)涵與特征,對(duì)于構(gòu)建基于數(shù)智化的物流管理教育具有重要意義[1]。
數(shù)智化技術(shù)的廣泛應(yīng)用正深刻地改變著物流管理的方式和模式。數(shù)字化的信息流、物流和資金流在數(shù)智化背景下實(shí)現(xiàn)高度集成,為物流過(guò)程帶來(lái)了更強(qiáng)大的透明度和可控性?!?br>