Sequential Pattern Mining Model to Identify the Most Important or Difficult Learning Topics via Mobile Technologies

Sequential Pattern Mining Model to Identify the Most Important or Difficult Learning Topics via Mobile Technologies

The paper aim is to come up with methodology for performing video learning data history of learner’s video watching logs, video segments or time series data in accordance with learning processes via mobile technologies. To reach this goal, it is introduced a theoretical method of sequential pattern...

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Bibliographic Details
Main Authors: Edona Doko, Lejla Abazi Bexheti, Mentor Hamiti, Blerta Prevalla Etemi
Format: Article
Language:English
Published: International Association of Online Engineering (IAOE) 2018-08-01
Series:International Journal of Interactive Mobile Technologies
Subjects:
Sequential Pattern Mining (SPM)
Video
Learning
Most Important/Difficult Learning Topics (MIDLT)
Mobile
Online Access:http://online-journals.org/index.php/i-jim/article/view/9223

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