基于个性化的深度混合型电子学习模型,用于在线课程推系统
Subha S1, Baghavathi Priya Sankaralingam2, Anitha Gurusamy2
1Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai, Tamil Nadu, India.
PeerJ. Computer science
|December 11, 2023
概括
本研究介绍了一种混合深度学习 (HDL) 模型,用于在线学习平台推课程. 该系统使用人工智能来帮助学生做出明智的课程选择,减少手工干预的需要.
科学领域:
- 人工智能的人工智能
- 机器学习 机器学习
- 教育技术的教育技术
背景情况:
- 在线学习平台需要有效的课程选择,以获得学生的成功.
- 传统方法往往缺乏个性化的建议,导致课程入学率低于最佳水平.
- 深度学习为复杂的分析任务提供自动化解决方案.
研究的目的:
- 为在线学习平台的课程推系统开发混合深度学习 (HDL) 模型.
- 通过明智的建议,提高学生在课程选择中的决策能力.
- 通过预测学生课程偏好,为大学提供最佳课程安排.
主要方法:
- 开发了一个混合深度学习 (HDL) 框架,集成卷积神经网络 (CNN),残余网络 (ResNet) 和长短期记忆 (LSTM).
- 该模型分析学生数据,以预测未来课程的兴趣.
- 基于这种混合框架,设计了一个推系统.
主要成果:
- 拟议的HDL模型有效地向学生推适当的课程.
- 该系统鼓励对课程选择进行知情决策.
- 它帮助学习者做出正确的学习选择.
结论:
- 开发的混合深度学习推系统改善了在线学习中的课程选择过程.
- 这种方法既有助于学生选择课程,也有助于安排大学.
- 整合CNN,ResNet和LSTM为教育推系统提供了一个强大的解决方案.
相关概念视频
Classification of Systems-II
149
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
149
Classification of Systems-I
188
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
188
Combination Therapies and Personalized Medicine
4.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K
Associative Learning
399
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
399
Multi-input and Multi-variable systems
106
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...
106
Response Surface Methodology
137
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
The process of RSM involves several key steps:
137


