CurriM: Curriculum Mining

نویسندگان

  • Mykola Pechenizkiy
  • Nikola Trcka
  • Paul De Bra
  • Pedro A. Toledo
چکیده

Curriculum mining includes three main kinds of tasks: (i) actual curriculum model discovery, i.e. constructing complete and compact academic curriculum models that are able to reproduce the observed behavior of students, (ii) curriculum model conformance checking, i.e. checking whether the observed behavior of students match their expected behavior as defined by the previously discovered or pre-authored curriculum model, and (iii) curriculum model extension, i.e. projecting information extracted from the observed data onto the model, to make the tacit knowledge explicit, facilitate better understanding of the particular academic processes and enable decision making processes. We discuss student and education responsible perspectives on curriculum mining and present the achievements of the ongoing project aiming to develop curriculum mining software including process mining, data mining and visualization techniques.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parameter Bias from Unobserved Effects in the Multinomial Logit Model of Consumer Choice

Journal of Marketing Research Vol. XXXVII (November 2000), 410–426 *Charles Abramson is a lecturer, College of Business Administration, California State University, Long Beach (e-mail: [email protected]). Rick L. Andrews is an associate professor, Department of Business Administration, University of Delaware (e-mail: [email protected]). Imran S. Currim is Corporate Partners Research Scholar an...

متن کامل

Schema-Mediated Exchange of Temporal XML Data

When web servers publish data formatted in XML, only the current state of the data is (generally) published. But data evolves over time as it is updated. Capturing that evolution is vital to recovering past versions, tracking changes, and evaluating temporal queries. This paper presents a system to build a temporal data collection, which records the history of each published datum rather than j...

متن کامل

Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor through Educational Data Mining

This study examined the effectiveness of an educational data mining method – Learning Factors Analysis (LFA) – on improving the learning efficiency in the Cognitive Tutor curriculum. LFA uses a statistical model to predict how students perform in each practice of a knowledge component (KC), and identifies over-practiced or under-practiced KCs. By using the LFA findings on the Cognitive Tutor ge...

متن کامل

Discovering Process in Curriculum Data to Provide Recommendation

Process mining is an emerging technique that can discover the real sequence of various activities from an event log, compare different processes and ultimately find the bottleneck of an existing process and hence improve it. Curriculum data is the history of the courses effectively taken by students. It is essentially process-centric. Applying process mining on curriculum data provides a means ...

متن کامل

A Model for Inferring Market Preferences from Online Retail Product Information Matrices

A Model for Inferring Market Preferences from Online Retail Product Information Matrices Timothy J. Gilbride a,∗, Imran S. Currim b, Ofer Mintz c, S. Siddarth d a Mendoza College of Business, University of Notre Dame, Notre Dame, IN 46556, United States b Paul Merage School of Business, University of California, Irvine, CA 92697, United States c E. J. Ourso College of Business, Louisiana State ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012