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In the era of the digital economy, the continuous development of digital technology has had profound effects across various industries. The 20th National Congress report of the Party also emphasizes the need to “promote digitalization in education.” This paper aims to explore new approaches to teaching design in the context of digitization, addressing the needs and challenges of modern society. Starting from the issues encountered in the professional teaching process, it analyzes students’ psychology, the trends in different specialized directions, and industry demands such as visual communication design, product design, environmental design, and digital media art. Leveraging digital empowerment, the paper proposes several innovative teaching approaches, including interdisciplinary teaching, project-driven teaching, integrated teaching, and collaborative teaching. The exploration of these teaching design strategies aims to break down disciplinary barriers, providing a broader space for the art and design discipline. The goal is to cultivate professionals better suited to the demands of social development, contributing to the field of education.

Building Information Modelling(BIM) is the foundation of digital transformation in architecture, engineering, and construction(AEC)industry. BIM is the holistic process of creating and managing information for a built asset. A traditional CAD and 3D modelling technology is widely used in university’s architecture and landscape courses teaching today. Every single detail of traditional course education does not match the internationally market and BIM technology which is more common and popular today. Using BIM technology in university to teach architecture and landscape design will make changes to design education, and will improve the education practice in Environmental Design system. This article will introduce more detail about BIM technology, and how it changes and affects traditional architecture & landscape teaching, how this technology merged with professions, and how this technology brings comprehensive learning ways and new insight for students in their future career life.

Ecosystem functional types (EFTs) are the patches of land surface showing similar in carbon dynamics. EFTs are not defined by the structure and composition of vegetation and represent the spatial heterogeneity of ecosystem functions. Identifying EFTs based on low-resolution satellite remote sensing data cannot satisfy the needs of fine-scale characterization of regional ecosystem functional patterns. Here, taking Zhenlai County, Northeast China as an example, the heterogeneity in ecosystem functions was characterized by identifying EFTs from Sentinel-2 time series data using ISODATA algorithm. Ecosystem functional attributes derived from dynamics of the normalized difference vegetation index (NDVI), the fraction of absorbed photosynthetically active radiation (FAPAR), and canopy water content (CWC) in the growing season were calculated. The correspondence analysis (CA) method was used to reveal relationships between the EFTs and land cover types. Our results showed that the nine selected remotely sensed variables indicating carbon and water flux of the regional ecosystems could be adopted in ecosystem functions classification. The obtained EFTs based on Sentinel-2 images reflected the internal structure of carbon balance well and the distribution pattern of ecosystem functional diversity a fine scale. This study helps to understand the functional heterogeneity pattern of temperate terrestrial ecosystems.