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Register a new userPedagogical Principles in the Online Teaching of Text Mining: A Retrospection
المبادئ التربوية في التدريس عبر الإنترنت من التعدين النصي: استراتب
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أحضر جائحة Covid-19 المستمر التعليم عبر الإنترنت في طليعة المناقشات التربوية. لجعل هذه الفائدة المتزايدة المستدامة في حقبة ما بعد الوباء، يجب بناء الدورات التدريبية عبر الإنترنت على أسس ترياجية قوية. مع تاريخ طويل من البحث التربوي، هناك العديد من المبادئ والأطر والنماذج المتاحة لمساعدة المعلمين في القيام بذلك. تغطي هذه النماذج وجهات نظر تدريس مختلفة، مثل المحاذاة البناءة والتعليقات وبيئة التعلم. في هذه الورقة، نناقش كيف صممنا ونفذت دورة معالجة اللغات الطبيعية على الإنترنت (NLP) عبر الإنترنت بعد المحاذاة البناءة والالتزام بالمبادئ التربوية لل LTU. من خلال فحص الدورة التدريبية لدينا وتحليل نماذج تقييم الطلاب، نوضح أننا حققنا هدفنا وتقديمها بنجاح الدورة. علاوة على ذلك، نناقش الفوائد الإضافية الناتجة عن الوضع الحالي للتسليم، بما في ذلك زيادة إعادة استخدام محتوى الدورة التدريبية وزيادة إمكانات التعاون بين الجامعات. أخيرا، نناقش أيضا حيث يمكننا وسنمزيد من تحسين تصميم الدورة التدريبية الحالية.
The ongoing COVID-19 pandemic has brought online education to the forefront of pedagogical discussions. To make this increased interest sustainable in a post-pandemic era, online courses must be built on strong pedagogical foundations. With a long history of pedagogic research, there are many principles, frameworks, and models available to help teachers in doing so. These models cover different teaching perspectives, such as constructive alignment, feedback, and the learning environment. In this paper, we discuss how we designed and implemented our online Natural Language Processing (NLP) course following constructive alignment and adhering to the pedagogical principles of LTU. By examining our course and analyzing student evaluation forms, we show that we have met our goal and successfully delivered the course. Furthermore, we discuss the additional benefits resulting from the current mode of delivery, including the increased reusability of course content and increased potential for collaboration between universities. Lastly, we also discuss where we can and will further improve the current course design.
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In this paper we provide an account of how we ported a text and data mining course online in summer 2020 as a result of the COVID-19 pandemic and how we improved it in a second pilot run. We describe the course, how we adapted it over the two pilot r
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