Related Experiment Video
Updated: Sep 20, 2025
04:12
Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
Published on: June 23, 2023
756
English Education Tutoring Teaching System Based on MOOC
1Zhejiang Industry and Trade Vocational College, Wenzhou, Zhejiang 325000, China.
Computational Intelligence and Neuroscience
|June 7, 2022
Summary
This study introduces a hybrid deep learning model to detect cheating in massive open online courses (MOOCs). The innovative approach enhances the accuracy of identifying academic dishonesty in online English learning environments.
Area of Science:
- Education Technology
- Artificial Intelligence
- Computer Science
Background:
- Traditional teaching methods are evolving with the rise of new educational technologies.
- Massive Open Online Courses (MOOCs) represent an advanced and effective teaching mode.
- Ensuring academic integrity in MOOCs is crucial for platform development and educational quality.
Purpose of the Study:
- To develop and evaluate a novel deep-learning-based hybrid model for detecting cheating behavior among MOOC learners.
- To improve the accuracy and efficiency of identifying academic misconduct in online learning environments.
- To support the integrity of MOOC platforms and enhance English language education counseling.
Main Methods:
- A hybrid deep learning model integrating Convolutional Neural Networks (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an attention mechanism was developed.
- The model was trained and validated using English learning behavior data from a MOOC platform.
- Performance was evaluated based on the model's ability to detect cheating behaviors.
Main Results:
- The proposed hybrid model demonstrated significantly improved detection performance compared to single-model approaches.
- The integration of CNN, BiGRU, and attention mechanisms effectively captured complex learning patterns indicative of cheating.
- Simulation results confirmed the model's efficacy in identifying cheating within MOOC English learning data.
Conclusions:
- The developed hybrid deep learning model offers a robust solution for MOOC cheating detection.
- This approach can significantly contribute to maintaining academic integrity in online education.
- The model shows promise for enhancing the quality and reliability of MOOC-based English education tutoring.
More Related Videos
12:55Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
8.6K
10:43Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
Published on: June 10, 2021
5.5K
Related Concept Videos
01:21Cognitive Learning
672
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
672
01:22Purposive Learning
212
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
212
01:18Introduction to Learning
552
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
552
01:12Observational Learning
323
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
323
01:26Metacognition
288
Metacognition is a conscious process where individuals are aware of their cognitive and executive processes, such as planning before solving a problem or self-monitoring during reading. For instance, a writer may need help with composing a piece. The situation involves a writer who is working on a piece of writing, but while doing so, they realize that something is missing. They notice that their characters lack depth or details. This realization occurs because the writer is reflecting on their...
288
01:22Multi-input and Multi-variable systems
157
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
157