Modeling and Analysis of Learners’ Emotions and Behaviors Based on Online Forum Texts

Abstract

Under the continuous impact of the epidemic, online learning methods represented by MOOC have developed rapidly. The course forum area has produced a large amount of text-based unstructured data, which can reflect the potential characteristics of learners’ emotional states and behavioral interactions, and has an important impact on students’ learning outcomes. To this end, this paper constructs an emotional and behavioral analysis model based on online forum texts, obtains forum data from the “Python Language Programming” course on the Chinese University MOOC platform, uses domain dictionary emotion classification method to analyze learning emotions, and based on the method of cognitive behavior coding table and knowledge construction behavior coding table analyzes learners’ cognitive behavior and knowledge construction behavior. It can dynamically analyze learners’ emotions, behavior changes, and evolutionary trends. This research provides opinions and suggestions on the improvement of platform interactive functions for teachers’ online teaching, students’ online learning, and platform management, which can effectively improve the efficiency and effectiveness of online learning.

Using Social Media Data to Explore Urban Land Value and Sentiment Inequality: A Case Study of Xiamen, China

“…The reason may be that sentiments derived from social media data in these studies were scored using keyword dictionaries, making it difficult to quantify sentiments accurately. This approach cannot distinguish whether a high-quality living environment (i.e., a high land value) has a positive effect on the sentiment, or whether the higher cost of living in an area with a high land value has a negative effect on the sentiment [44][45][46]. In addition, most studies did not classify the land-use types (such as green space and industrial land), resulting in inconsistent research conclusions.…”

Using MOOC to Learn the Python Programming Language

“…Consolidation of acquired knowledge in practice occurs through virtual learning environments where students learn and simultaneously supplement educational content [11], through modules embedded in MOOC [17], and interactive practical tasks [13]. The problem of lack of support from teachers can be solved through blended learning [9], advanced interactive features of the online learning platform [16], embedded software tools [27]. On the other hand, applied software (proprietary mobile applications, educational environments, etc.)…”

“…Many researchers pay attention to the low percentage of online courses completion. This is partly due to the accumulation of difficulties and problems while doing the course [16], misunderstanding of certain software structures or program code presented in the form of an example, uninteresting or boring theoretical information, etc.…”

“…In this case, the study of programming is carried out simultaneously at an educational institution and with the help of MOOC. To provide feedback, communication with the teacher [16], support service, forum and e-mail [10], [28], instant messaging, etc. are used.…”

“…One of the modern means of learning programming, in particular the Python language, is the massive open online course (MOOC). Learning the Python language is achieved through interactive lessons [13] and examples of program code [14], blended learning approach [15], analysis of learner emotions and behavior while doing online courses [16], etc. At the same time, the number of online courses on learning programming languages is constantly increasing, since modern trends in the IT sphere are taken into account.…”