Research Papers On Data Mining 2011

Research Papers On Data Mining 2011-68
(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.

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