(Ferguson 2012) LA and EDM research communities hold different perspectives on how educational data should be obtained and analyzed (Berland et al., 2014).Researchers in LA research employ more human-led methods of discovery, and focuses more on holistic systems and understanding constructs, and then seeks ways to inform and empower instructors and learners; for example, informing an instructor about ways a specific student is struggling, so the instructor can contact the learner and intervene in a positive manner to facilitate that student’s learning (Berland et al., 2014).
(Ferguson 2012) LA and EDM research communities hold different perspectives on how educational data should be obtained and analyzed (Berland et al., 2014).Researchers in LA research employ more human-led methods of discovery, and focuses more on holistic systems and understanding constructs, and then seeks ways to inform and empower instructors and learners; for example, informing an instructor about ways a specific student is struggling, so the instructor can contact the learner and intervene in a positive manner to facilitate that student’s learning (Berland et al., 2014).
The KM requires a convalesce of organizational culture, technology innovations, effective work force in culminating knowledge dissemination in all business domains.
The organizations implementing this knowledge enabled a CRM framework would be easily able to convert their business knowledge via the analytical CRM to solve many business issues, such as increase response rates from direct mail, telephone, e‐mail, and internet delivered marketing campaigns, increased sales and increased services. https://doi.org/10.1108/09696471111103731 Download as .
This paper presents an integrated KM and a CRM based framework using DM techniques.
All the firms may not be in favor of adopting KM while implementing a CRM.
The meaning of EDM is not clear for researchers to employ EDM approaches because EDM is closely tied to the research field of Learning Analytics (LA).
Learning analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.(International Conference on Learning Analytics and Knowledge et al.
Factors, such as time, sequence, and context are also important to consider in the study of educational data.
For instance, students’ learning behaviors (students’ participation, login frequency, number of chat messages, and the type of questions submitted to instructor) along with their final grades can be analyzed. 2012)The online learning platform used for recording the data and analyzing them determine what information about learning behaviors can be recorded.
Presently, little empirical evidence exists to support a theoretical framework able to gain wide acceptance in the scientific community (Papamitsiou & Economides, 2014).
Given that in the real world there is a great diversity of different learning contexts, they determine the analytical approaches utilized by EDM.
Comments Research Papers On Data Mining 2011
Web Mining Research and Future Directions SpringerLink
Web mining is one of the mining technologies, which applies data mining. CNSA 2011 Advances in Network Security and Applications pp 489-496 Cite as. The present paper deals with a preliminary discussion of WEB mining, few key.…
DATA MINING TECHNIQUES A SOURCE FOR CONSUMER.
Their paper “A Data mining approach to consumer behavior” tried to improve data mining. of Database Management Systems IJDMS, Vol.3, No.3, August 2011. mining research where the aim is to find interesting correlations among sets.…
A survey on educational data mining and research trends
Educational Data Mining EDM, EDM Components, DM Methods, Education Planning. Student performance analysis. Wang and Liao. 2011 68. ANN. -. By survey. This survey work studied around 50 EDM research papers from various.…
Data-mining technologies for diabetes a systematic review.
Nov 1;561549-56. Data-mining technologies for diabetes a systematic review. of data-mining techniques in the field of diabetes research. by the search, and selected 17 articles representing various data-mining methods used for.…
Operations Research in Data Mining - Wang - 2011 - Major.
Feb 15, 2011. Abstract Data mining DM and operations research OR are two largely independent paradigms of science. DM involves data driven methods.…
Data Mining. Concepts and Techniques, 3rd Edition - Sabancı.
Data Mining Practical Machine Learning Tools and Techniques with Java Implementations. 3rd Edition. set of selected research papers. Individual. the 2010–2011 academic year, who carefully went through the early drafts of this book.…
An Empirical Study of the Applications of Data Mining.
No.3, March 2011. 80 Page. data sets. This paper addresses the applications of data mining in. Data mining in higher education is a recent research field.…
Role of knowledge management and analytical CRM in.
Based on this research, a customized, integrated framework, to match the needs of. Hence, this paper explains the importance of data mining tools and techniques to. Citation Jayanthi Ranjan, Vishal Bhatnagar, 2011 "Role of knowledge.…