When Data Exploration and Data Mining meet while Analysing Usage Data of a Course
نویسندگان
چکیده
Learning Management Systems (LMS) are web-based systems that are increasingly used in education. If lecturers want to gain a deeper insight on whether and how students use the learning resources they put at their disposal in a course, user data stored by the LMS needs to be explored. To help explore these data, we have designed and implemented an application called ExtractAndMap [1] that structures and exports all data stored at various places and under various forms by a LMS into a consistent data base that can be used for numerous queries and further data mining. Using queries on the data base it is possible to answer questions like: “how many students have attempted self-evaluation exercise of week 1?”, “how many students have attempted self-evaluation exercise of week 2?” and so on, till the end of the semester. When looking at the results it may well be that these numbers diminish as shown in Figure 3 p. 7 in [1].
منابع مشابه
Estimation of geochemical elements using a hybrid neural network-Gustafson-Kessel algorithm
Bearing in mind that lack of data is a common problem in the study of porphyry copper mining exploration, our goal was set to identify the hidden patterns within the data and to extend the information to the data-less areas. To do this, the combination of pattern recognition techniques has been used. In this work, multi-layer neural network was used to estimate the concentration of geochemical ...
متن کاملSelection of new exploration targets using lithogeochemical data obtained for Taknar deposit located in NE of Iran
Taknar deposit is located about 28 km to the north-west of Bardaskan in the Khorasan-e-Razavi province, which is situated in the north-eastern part of Iran. This deposit is unique, formed within the Taknar formation in the Ordovician time. As a result, it is of much interest to many researchers working in this field. By choosing the lithogeochemical study performed to recognize new exploration ...
متن کاملS3PSO: Students’ Performance Prediction Based on Particle Swarm Optimization
Nowadays, new methods are required to take advantage of the rich and extensive gold mine of data given the vast content of data particularly created by educational systems. Data mining algorithms have been used in educational systems especially e-learning systems due to the broad usage of these systems. Providing a model to predict final student results in educational course is a reason for usi...
متن کاملExploration of Kahang porphyry copper deposit using advanced integration of geological, remote sensing, geochemical, and magnetics data
The purpose of mineral exploration is to find ore deposits. The main aim of this work is to use the fuzzy inference system to integrate the exploration layers including the geological, remote sensing, geochemical, and magnetic data. The studied area was the porphyry copper deposit of the Kahang area in the preliminary stage of exploration. Overlaying of rock units and tectonic layers were used ...
متن کاملUnderstanding Web usage at di erent levels of abstraction: coarsening and visualising sequences
As Web sites begin to realise the advantages of engaging users in more extended interactions involving a semi-structured combination of information and communication behaviour, the log les recording Web usage become more complex. While Web usage mining provides for the syntactic speci cation of structured patterns like association rules or (generalised) sequences, it is less clear how to analys...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010