Date
Publisher
arXiv
During the wake of the Covid-19 pandemic, the educational paradigm has
experienced a major change from in person learning traditional to online
platforms. The change of learning convention has impacted the teacher-student
especially in non-verbal communication. The absent of non-verbal communication
has led to a reliance on verbal feedback which diminished the efficacy of the
educational experience. This paper explores the integration of sentiment
analysis into learning management systems (LMS) to bridge the student-teacher's
gap by offering an alternative approach to interpreting student feedback beyond
its verbal context. The research involves data preparation, feature selection,
and the development of a deep neural network model encompassing word embedding,
LSTM, and attention mechanisms. This model is compared against a logistic
regression baseline to evaluate its efficacy in understanding student feedback.
The study aims to bridge the communication gap between instructors and students
in online learning environments, offering insights into the emotional context
of student feedback and ultimately improving the quality of online education.
Study at a glance
- Question: Can AI help teachers understand the emotional context of student feedback in online learning systems?
- Setting and data: Student feedback from online learning platforms during the Covid-19 pandemic.
- Method: Compares a deep neural network model against a baseline model (logistic regression) to analyze student feedback.
Why it matters
The shift to online learning has reduced non-verbal communication between teachers and students. This reliance on verbal feedback diminishes the efficacy of the educational experience and creates a communication gap in online learning environments.
Key findings
- In online learning platforms, sentiment analysis in learning management systems offers educators a way to interpret student feedback beyond its literal text.
- Advanced deep learning models can analyze emotional nuances in student feedback to bridge instructor-student communication gaps.
- The loss of non-verbal communication in remote learning diminished educational efficacy by forcing reliance strictly on verbal feedback.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
