Pedagogical Content Knowledge (PCK) is the establishment of academics that provides an interesting idea of teaching. PCK is an idea of the belief that teaching is considerably needed more than providing the knowledge of subject contents to students. It is also the knowledge teachers acquire over time and by the experience to explain particular contents in specific ways to students' understanding. The growth of the internet and larger digital technology has come up with various difficulties. The larger amount of data on the internet is probably unorganized and unstructured, making it difficult to utilize and manipulate the data process. Deep learning, as well as machine learning mechanisms for classifying the texts, is the importance of PCK. In the present research, the pedagogical contents are classified using Condensed Nearest Neighbor (CNN) with Bi-LSTM. In general, the CNN classifier is a simple process and constructs the subsets of example that classifies the original data correctly. The Bi-LSTM enhances LSTM, which improves the model's performance in the sequence classification process. The proposed CNN with Bi-LSTM has achieved an accuracy of 78.79compared to the existing KNN accuracy of 77.5% for the classification of pedagogical content in experiment analysis. © 2022 Seventh Sense Research Group.
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