Background: Online team-based learning is a crucial teaching method to successfully increase students’ engagement during the pandemic. This study provides a report on online team-based learning during a traditional medicine course attended by undergraduate students from different higher education institutions in Indonesia and overseas.    Methods: A questionnaire was administered to determine the active participation of team members and to carry out a course evaluation   Results: The learning outcome was successfully achieved as 96% of the groups scored above the passing grade for the team-based projects. Students from various institutions had generally positive opinions on the course, especially on the course design, course material and the speakers, and the collaborative working with students from diverse backgrounds.    Conclusion: Language barriers and technical difficulties were some factors that hindered the students from gaining full benefit from the course, and thus should be mitigated in the implementation of online team-based learning. Additionally, a well-designed pre-test and post-test survey should be conducted to aid the assessment of students’ comprehension of the course.

Diabetes is a major public health burden whose prevalence has been steadily increasing over the past decades. Glycated hemoglobin (HbA1c) is currently the gold standard for diagnostics and monitoring glycemic control in diabetes patients. HbA1c biosensors are often considered to be cost-effective alternatives for smaller testing laboratories or clinics unable to access other reference methods. Many of these sensors deploy nanomaterials as recognition elements, detection labels, and/or transducers for achieving sensitive and selective detection of HbA1c. Nanomaterials have emerged as important sensor components due to their excellent optical and electrical properties, tunable morphologies, and easy integration into multiple sensing platforms. In this review, we discuss the advantages of using nanomaterials to construct HbA1c sensors and various sensing strategies for HbA1c measurements. Key gaps between the current technologies with what is needed moving forward are also summarized.