SkillsRec: A Novel Semantic Analysis Driven Learner Skills Mining and Filtering Approach for Personal Learning Environments based on Teacher Guidance
Authors: Zaffar Ahmed Shaikh, Denis Gillet, Shakeel Ahmed Khoja
Presenter: Zaffar Ahmed Shaikh
Agenda
• The Problem
• Our Solution
• Abstract
• Introduction
• Related Work
• Results
• Conclusions
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 2Friday, March 27, 2015
Teacher guidance
Problem Solution
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 3Friday, March 27, 2015
Abstract• SkillsRec is a novel teacher guidance based learner skills mining and
filtering approach that identifies learner skills for PLE based learning scenarios using Latent Semantic Analysis (LSA) technique.
• SkillsRec is developed on PLE design and development principles of the guided PLEs model [1].
• This paper compares learner-skill similarity scores generated through the SkillsRec with those generated through conventional IR and KM techniques.
• We provide top N=8 user-user recommendations most likely to be similar for a given active learner.
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 4Friday, March 27, 2015
Introduction / PLE• Online PLE is a modern day personalized learning based
teaching/learning environment.
• PLE can be defined as “a highly flexible ‘one-size-fits-all’ solution to online learning that provides personalized, collaborative, inquiry-based and guided learning experiences to Internet users [4]”.
• PLE takes care of learner personality, mood, interests, and needs during her interaction with online environments [3].
• In addition, PLE concept addresses information overload problem through recommender technology [5,6].
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 5Friday, March 27, 2015
Introduction / gPLEs model• The gPLEs model incorporates teacher-based guidance mechanism into
the PLE concept through learner skills mining and filtering based recommendation mechanism [1].
• It identifies/develops learner skills through semantically analyzing teacher competencies [2] and learner interests.
• Using those skills of a learner, it provides her with skill-similarity based user-user recommendations.
• The model has been / can be implemented in online PLE(s).
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Introduction / LSA• LSA is a model-based natural language processing and data/document
retrieval technique that improves retrieval process through developing measures of semantic similarities between user and text [7].
• LSA performs various statistical computations to search items that match with user query based on contextual usage meaning of words in user query and item descriptions [7,8].
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 7Friday, March 27, 2015
Introduction / SkillsRec• SkillsRec is a model-based learner skills identification and assessment technique for CF based
recommendation systems. It works on descriptive/unstructured data.
Mines user data to identify user skills
Filters user skills matching with teacher roles
Generates user-user recommendations in ranked
order
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 8Friday, March 27, 2015
Related Work• Model-based techniques (Bayesian models or LSA) have been used
before in modeling user profile and her context [10,11,12].
• In existing literature there is no evidence about finding learner skills through analyzing learner interests against teacher roles.
• There is also a lack of information in literature about exploiting learner interests-related data for generating similarity recommendations.
• Hence, the main mission of this work was to develop a CF based recommendations system which employs natural language processing tool (LSA) to identify learner skills which are based on teacher guidance.
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 9Friday, March 27, 2015
Data Organization
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 10Friday, March 27, 2015
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 11Friday, March 27, 2015
Data Analysis
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 12Friday, March 27, 2015
Results
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 13Friday, March 27, 2015
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 14Friday, March 27, 2015
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 15Friday, March 27, 2015
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 16Friday, March 27, 2015
Conclusions• We have presented here the SkillsRec–a novel semantic analysis based
recommender model for PLEs.
• This provides the solution to how to overcome the massive, exponentially increasing [9], information overload problem.
• SkillsRec provided results have been compared with conventional IR and KM based similarity techniques.
• It can be concluded from the presented details and results that semantic analysis based data mining and filtering approaches provide promising results; thus, they need to be further explored and tested.
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Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 19Friday, March 27, 2015
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Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 20Friday, March 27, 2015
Questions?
Zaffar Ahmed Shaikh – EPFL /IBA Karachi - [email protected] –AINA 2015 (MAW’15) – March 25 2015 21Friday, March 27, 2015