iTest: A novel online testing system based on the WeChat platform

Abstract

Timely feedback is important for both teachers and students in teaching and learning practice. Teachers rely on feedback from students to gain a better understanding of their learning effects. Students also need feedback to identify gaps in their knowledge. Conducting in‐class tests is considered an effective way to obtain such feedback. However, traditional testing methods are inflexible and inefficient. In this paper, we introduce iTest, a novel online testing system developed on the popular WeChat platform. With the help of iTest, the teacher organizes an in‐class test conveniently, and the students take the test with their smartphones regardless of which operating systems the smartphones use. When the student answers questions in a test, abundant behavior data for the student are collected. According to the analysis of the behavior data and the testing results, the teacher gains a deeper insight into the learning effect for each student. A weighted knowledge graph is also constructed for each student by virtue of the prerequisite relationships among the knowledge points and the behavior data. On the basis of the weighted knowledge graph, iTest recommends personalized exercises in an appropriate order to each student after the test, which helps to improve the learning effect. Teaching practice in five courses verifies that iTest is effective and efficient in promoting teaching and learning. Both teachers and students have high praise for iTest.

Intelligent personalised exercise recommendation: A weighted knowledge graph‐based approach

“…To determine the testing behaviour of a student, we designed and built iTest +, an updated version of iTest [39]. Teachers and students can access the iTest + system through WeChat mini program.…”

“…Second, on the basis of the quantified ability of the students towards knowledge points, an intelligent exercise recommendation method is proposed that leverages the prerequisite dependencies between knowledge points to optimise the order of the recommended exercises; this method ensures that the recommendation order follows the law of learning from basics to advanced. Third, the proposed WKG‐R method and several baseline methods are implemented in iTest + (an updated version of iTest [39]), which is an online testing system we developed on the popular social platform WeChat [1]. Finally, the effects of various exercise recommendation methods are carefully evaluated in terms of enabling the self‐learning activities of students in the context of a ‘Database Principle’ course.…”

Theoretical Advancement of Xi Jinping’s Socialist Thought with Chinese Characteristics in the New Era under the Construction of Knowledge Map

“…The application of knowledge mapping in promoting the theoretical learning of Xi Jinping's socialist thought with Chinese characteristics in the new era will be more extensive and in-depth. With the development of artificial intelligence, big data, and other technologies, the construction and application of knowledge mapping will be more accurate and efficient [13][14]. Knowledge mapping technology plays an important role in promoting the theoretical learning and dissemination of Xi Jinping's socialist thought with Chinese characteristics in the new era.…”

Fast and Reliable System for Managing Customer Information of a Local Electric Power Generator

“…[3] and [4] mentioned advantages of managing customer information such as increasing business performance, customer satisfaction, loyalty and profitability. Web-based systems have been used for managing student, examination, medical, transportation, weather and organization information [5], [6], [7], [8], [9], [10], [11] and [12].…”