Classical approaches for supporting tutoring services face several limitations for ill-defined domains. To overcome these limitations, we argue for the utilization of hybrid approaches for supporting tutoring services. In this paper, we describe a hybrid model that combines an expert system, the modeltracing paradigm, and a data mining approach in an ITS for learning to operate a robotic arm. T...

Online learning, defined broadly as recording and delivering classroom experience with technology, has tremendous potential. However, success to date has been very limited in science and engineering. We believe this is because traditional video recording is cumbersome and not suitable for technical lectures and removing live classroom interaction is detrimental to learning. ...

Facial emotion recognition has been very popular area for researchers in last few decades and it is found to be challenging complex task due large intra-class changes. Existing frameworks this type of problem depends mostly on techniques like Gabor filters, principle component analysis (PCA), independent analysis(ICA) followed by some classification trained given videos images. Most these works...

The knowledge discovery from student’s data can be very useful in predicting the employment under different categories. machine learning is helping this regard up to great extent. In paper, a hybrid model of has proposed predict jobs categories, students may get their campus placement. considered groups are undergraduate courses engineering stream having semester’s scheme academic. mapping pred...

In today's rapidly evolving digital landscape, ensuring the security of networks and systems has become more crucial than ever before. The ever-present threat hackers intruders attempting to disrupt compromise online services highlights pressing need for robust measures. With continuous advancement systems, new dangers arise, but so do innovative solutions. One such solution is implementation N...

Hybrid learning setting was developed to support the teaching of project risk management for an M. Sc. Course at NTNU. The course is also part of a master’s level continuing education program in organizational management. The hybrid learning setting presented in this paper contains the elements of a competitive game, group work, case study and a computer simulation. Its main aim is provide effe...