E-learning platforms are being used in higher education to liberate teaching and learning from the constraints of time, pace, and space. These platforms provide rich media content, collaborative assessment, and analytics tools and support learning through a variety of online possibilities. However, the focus of most of this research is on learning analytics inside e-learning platforms and does not cover other related institutional surveys and educator professional development activities. This paper outlines a novel conceptual approach for the creation of a teaching and learning data warehouse analytics system that utilizes a Multi-Dimensional Analysis approach to teaching and learning analytics across these e-learning platforms in combination with other institutional data sources, such as various institutional surveys, tracking of professional development activities, and analysis of the use of the learning management system. The novel teaching and learning data warehouse analytics system (TLDWAS) is being developed at Lingnan University, a leading liberal arts university in Hong Kong. The genesis of this project is analyzing large volumes of teaching and learning data and presenting a big picture for senior management to gain insight from massive amounts of student courses and teacher evaluation data, fill the research gaps mentioned above, and help educators identify problems and solutions more effectively. The TLDWAS provides a visual interface for identifying some indicators and storing, classifying, and analyzing teaching and learning data in various forms to generate statistics, analyze models, and identify meaningful patterns in the data in order to improve teaching and learning. The TLDWAS not only provides more evidence-based decision-making for senior management but is also capable of being applied to identify patterns and relations pertaining to students’ academic performance, usage of e-learning systems, and associated staff development activities.

While the COVID-19 pandemic has been raging across the continents, performing arts educators have unlearned and adjusted their pedagogies in course delivery to surmount the challenges caused by the COVID-19 pandemic. Subject to the COVID-19 pandemic situation easing in Hong Kong and around the world, the whole education sector seems to be bouncing back to normal gradually. Meanwhile, there are effective lessons and insights to be learned from the hybrid pedagogy during the pandemic, which could further benefit the new normal period (post-pandemic) of performing arts education. To examine the current practice of digital learning among students and faculty (attitudes towards hybrid, online, and face-to-face learning and preferences about learning mode for professional development/training workshops), this empirical study looks at 408 students and 17 faculty members at a leading performing arts institute in Hong Kong. This study locates the key issues for performing arts educators regarding online/hybrid teaching and learning. It presents lessons and insights for quality insurance and improvement. Findings can inform the future development of digital teaching and learning for the performing arts as well as for other practice-based subjects.