A transition to an online text and data mining course was made in summer 2020 due to the COVID-19 pandemic. The course was initially planned for in-person teaching but was adapted using various online technologies. Over two pilot runs, relentless feedback from students was gathered to improve course delivery. Innovative teaching techniques were utilized, including digital badges and pair programming in breakout rooms. The lessons learned emphasized the significance of community building and adjusting teaching strategies based on feedback in a digital learning environment.
The transition to online learning during the COVID-19 pandemic necessitated rapid adaptation of pedagogical strategies, including the incorporation of new technologies for effective instruction.
Relentless feedback from students played a crucial role in improving the course structure and content over the two pilot runs of the text and data mining course.
Innovative techniques such as digital badges and pair programming in breakout rooms were instrumental in engaging students with varied backgrounds in Natural Language Processing.
Lessons learned emphasize the importance of community building and interaction in online education to enhance the learning experience and student satisfaction.
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