Supporting teachers in collaborative student modeling: a framework and an implementation

Collaborative student modeling in adaptive learning environments allows the learners to inspect and modify their own student models. It is often considered as a collaboration between students and the system to promote learners’ reflection and to collaboratively assess the course. When adaptive learning environments are used in the classroom, teachers act as a guide through the learning process. Thus, they need to monitor students’ interactions in order to understand and evaluate their activities. Although, the knowledge gained through this monitorization can be extremely useful to student modeling, collaboration between teachers and the system to achieve this goal has not been considered in the literature. In this paper we present a framework to support teachers in this task. In order to prove the usefulness of this framework we have implemented and evaluated it in an adaptive web-based educational system called PDinamet.Postprint (author's final draft

Intelligent Tutoring System Sebagai Upaya Inovatif dalam Pembelajaran untuk Pembelajaran Berbantuan Komputer

Perkembangan teknologi informasi dan komunikasi yang pesat juga telah merambah bidang pendidikan dan pengajaran. Penggunaan pembelajaran berbasis komputer dalam pembelajaran telah diteliti dan memberikan dampak positif dalam pembelajaran. Salah satu pembelaajran berbasis komputer yang saat ini masih  terus dikembangkan adalah  Intelligent Tutoring System (ITS) yang dikembangkan untuk mengatasi kelemahan pembelajaranberbasis komputer sebelumnya yang belum memperhatikan keberagaman siswa. ITS merupakan sebuah aplikasi komputer yang dibuat untuk meniru mimik manusia dalam memberikan materi pengajaran. ITS menggunakan pendekatan one-to-one.  ITS merupakan sistem yang cerdas karena memiliki komponen kecerdasan buatan

Intelligent Tutoring System sebagai Upaya Inovatif dalam Pembelajaran untuk Pembelajaran Berbantuan Komputer

Perkembangan teknologi informasi dan komunikasi yang pesat juga telah merambah bidang pendidikan dan pengajaran. Penggunaan pembelajaran berbasis komputer dalam pembelajaran telah diteliti dan memberikan dampak positif dalam pembelajaran. Salah satu pembelaajran berbasis komputer yang saat ini masih terus dikembangkan adalah Intelligent Tutoring System (ITS) yang dikembangkan untuk mengatasi kelemahan pembelajaran berbasis komputer sebelumnya yang belum memperhatikan keberagaman siswa. ITS merupakan sebuah aplikasi komputer yang dibuat untuk meniru mimik manusia dalam memberikan materi pengajaran. ITS menggunakan pendekatan one-to-one. ITS merupakan sistem yang cerdas karena memiliki komponen kecerdasan buatan

Dianosing Heart Diseases Using ANN and GA

The heart is complex systems that reveals many clues about its condition in electrocardiogram (ECG), and is one of the most important organs in a human body.The walls of the heart contain myocardial tissues which contract to push the blood through the body. This contract occurs because of passing electrical current in the heart muscle the electrical current can be captured and analyzed to diagnose the heart state. This operation is done by using electrocardiograph (ECG) device; this device captures the electrical signal, filters it from noise signals, and amplifies it. Then it displays the signal on the screen or prints it on the trace paper then the doctor interprets the ECG signal to diagnose the disease.This project discusses using artificial intelligent (AI) to process and analyze the ECG signal to diagnose the heart disease directly and display detailed report about the heart state by using the artificial neural network (ANN) after training it and finding the values of the connection weights using the genetic algorithm (GA) to choose the best values to the weights.The GA is qualified in enhancing the weights of the ANN since the ANN is trained using the classical algorithm (back-propagation), the genetic algorithm is used as a co-training algorithm for enhancing the connection weights values and minimizing the error value

TRIZ approach for machining process innovation in cryogenic environment

This paper presents the utilisation of TRIZ approach in machining process of AISI 4340 in cryogenic environment which lead to product improvement in turning process. The machining study is carried out in two stages; FEM simulation for finding the optimum condition and machining experiment to visualise the product improvement that involved plastic deformation. The simulation result revealed that at moderate to high cutting speed, high feed rate and high depth of cut will result in high temperature that enable for the change in phase of AISI 4340 from retained austenite to fully martensite. A sample from machining experiment at optimum cutting condition found that the microstructure changes beneath the machined until at the depth of ∼7 μm with high hardness to 8,500 N/mm2 Martens hardness at the machined surface. This hardness is equivalent to the hardness obtained in conventional case hardening process that is required after the machining of AISI 4340 in their application as automotive engine parts in order to enhance these parts in their service lives. This study reveals that the TRIZ approach helps to systematically analyse the various outcomes in this study started with process limitation, problem identification, axiomatic and Su-field analysis