Game-based learning (GBL) can allow learners to acquire and construct knowledge in a fun and focused learning atmosphere. A systematic literature review of 42 papers from 2010 to 2020 in this study showed that the current difficulties in implementing GBL in classrooms could be classified into the following categories: infrastructure, resources, theoretical guidance, teacher’s capabilities and acceptance of GBL. In order to solve the above problems, the study constructs a technology enhanced GBL model, from the four parts of learning objective, learning process, learning evaluation, and smart classroom. In addition, this study adopted the Delphi method, inviting a total of 29 scholars, experts, teachers and school managers to explore how to implement GBL in smart classrooms. Finally, the technology enhanced GBL model was validated and the utilization approaches were provided at the conclusion part.
Massive Open Online Courses (MOOCs) have gained rising popularity in recent years. However, MOOCs have faced a challenge of a large number of students dropping out from courses. Most studies predict dropouts based on some general features extracted from historical learning behavior and ignore the diversity of the behaviors. To solve this problem, we first analyze each type of learning behavior independently to get the different behavior patterns between dropout and retention students. We then derive multiple kinds of features from the corresponding types of learning behavior records. After that, we propose three algorithms that make use of these features. The first one trains several detectors based on each types of features. The second utilizes multi-view ensemble learning to anticipate dropouts. The third applies semi-supervised co-training to train the detector. Experimental results justify the rationality of the multi-view features and the proposed approaches achieve better prediction performances.
With the rapid development of modern science and technology, the hole-making technique of punched cast-in-situ piles has also developed rapidly. As punched cast-in-situ piles still belong to the indirect hole-making perfusion, which is elusive, it is difficult to find out problems happening during the construction process. And these problems tend to cause very serious results. Combined with the practical engineering, this essay makes deep research into problems arising in the construction process and puts forward solutions in order to provide the technical personnel with references.
In this paper, using geophysical exploration methods, it investigates the distribution characteristics of the S243 Yuxian road sections' mined areas, ground fissures, collapse columns and underground of the soil cave, analyzes the main causes of collapse, and makes a rational management program.
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