Abstract
Background: Hybrid teaching mode is a new trend under the Education Informatization environment, which combines the advantages of educators’ supervision offline and learners’ self-regulated learning online. Capturing learners’ learning behavior data becomes easy both from the traditional classroom and online platform. Methods: If machine learning algorithms can be applied to mine valuable information underneath those behavior data, it will provide scientific evidence and contribute to wise decision making as well as effective teaching process designing by educators. Results: This paper proposed a hybrid teaching mode utilizing machine learning algorithms, which uses clustering analysis to analyze the learner’s characteristics and introduces a support vector machine to predict future learning performance. The hybrid mode matches the predicted results to carry out the offline teaching process. Conclusion: Simulation results on about 356 students’ data on one specific course in a certain semester demonstrate that the proposed hybrid teaching mode performs very well by analyzing and predicting the learners’ performance with high accuracies.
Highlights
Education Informatization gives impetus to teaching mode and environment, and brings new ways of learning, such as Massive Open Online Courses (MOOCs), mobile learning, and blended learning
This paper aims to cope with the above-encountered problems in hybrid teaching, combining the advantages of machine learning to help instructors deeply understand students’ online behaviors, focus on students’ learning style characteristics, and pay more attention to the students in need of help, to reduce the number of students who may fail the course
In the evaluation and application phase, we evaluate the machine learning algorithms of the constructed models and apply their results to carry out the hybrid teaching process
Summary
Education Informatization gives impetus to teaching mode and environment, and brings new ways of learning, such as Massive Open Online Courses (MOOCs), mobile learning, and blended learning. Unal Cakiroglu analyzed the learning performances for distance learners [1] and Robert M illustrated the Principle of Instructional Design [2]. Existing research in hybrid teaching includes software development, platform improvement, and teaching practice. Armando Fox [4] introduced MOOC online class to replenish and serve the traditional class on the campus and improve the teaching quality significantly. Wu Di [5] proposed a blended learning mode SPOC (Small Private Online Course), which. Hybrid teaching mode is a new trend under the Education Informatization environment, which combines the advantages of educators’ supervision offline and learners’ self-regulated learning online. Capturing learners’ learning behavior data becomes easy both from the traditional classroom and online platform
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