Educators developing data mining courses face a difficult task of designing curricula that are adaptable, have solid foundations, and are tailored to students from different academic fields. This task could be facilitated by debating and sharing the ideas and experiences gained from the practice of data mining as well as from teaching data mining. The shared body of knowledge would be a valuable resource which would help educators design better data mining curricula. The aim of this paper is to make a contribution to such a debate. The paper presents a reflection and evaluation of the author's experience with developing and delivering a postgraduate unit Knowledg
Data mining is the process of discovering “hidden messages, ” patterns and knowledge within large am...
Data and the information culled from that data is an extremely valuable organizational re-source. Ev...
Educational data mining and learning analytics promise better understanding of student behavior and ...
Making sense of the exponentially expanding sources of structured electronic data collected by organ...
Data mining courses are increasingly being taught at many universities at both undergraduate and gra...
The third chapter, data mining in education, examines potentials and constraints in the use of data ...
The number of data mining courses in Busi-ness Schools is growing. Due to the differ-ences in the pr...
Role of Educational Data Mining Model in university course selection by the students
The aim of the article is to discuss and argue teaching educational data mining for pedagogical stu-...
Educational data mining and learning analytics promise better understanding of student behavior and ...
The paper addresses and explains some of the key questions about the use of data mining in education...
Although a Data Mining Methods course sequence is a late comer to the Information Systems curriculum...
Data mining is slowly but surely making its way into the educational field after dominating the busi...
The development in networking, processor and storage technologies have led to the increase in the am...
Data and the information culled from that data is an extremely valuable organizational re-source. Ev...
Data mining is the process of discovering “hidden messages, ” patterns and knowledge within large am...
Data and the information culled from that data is an extremely valuable organizational re-source. Ev...
Educational data mining and learning analytics promise better understanding of student behavior and ...
Making sense of the exponentially expanding sources of structured electronic data collected by organ...
Data mining courses are increasingly being taught at many universities at both undergraduate and gra...
The third chapter, data mining in education, examines potentials and constraints in the use of data ...
The number of data mining courses in Busi-ness Schools is growing. Due to the differ-ences in the pr...
Role of Educational Data Mining Model in university course selection by the students
The aim of the article is to discuss and argue teaching educational data mining for pedagogical stu-...
Educational data mining and learning analytics promise better understanding of student behavior and ...
The paper addresses and explains some of the key questions about the use of data mining in education...
Although a Data Mining Methods course sequence is a late comer to the Information Systems curriculum...
Data mining is slowly but surely making its way into the educational field after dominating the busi...
The development in networking, processor and storage technologies have led to the increase in the am...
Data and the information culled from that data is an extremely valuable organizational re-source. Ev...
Data mining is the process of discovering “hidden messages, ” patterns and knowledge within large am...
Data and the information culled from that data is an extremely valuable organizational re-source. Ev...
Educational data mining and learning analytics promise better understanding of student behavior and ...