Investigating mobile based prediction modelling of academic performance for primary school pupils: a data mining approach. by Mvurya Mgala Supervisors:

Slides:



Advertisements
Similar presentations
P-20 Data Collaborative Grant University/College Work Group February 24, 2010.
Advertisements

Action Research Not traditional educational research often research tests theory not practical Teacher research in classrooms and/or schools/districts.
Chapter 1: An Overview of Program Evaluation Presenter: Stephanie Peterson.
RESEARCH PROPOSAL. WHAT IS IT? A plan of action that describes in detail how you plan to carry out a research & request permission to proceed with the.
Social Research Methods
Title Course opinion mining methodology for knowledge discovery, based on web social media Authors Sotirios Kontogiannis Ioannis Kazanidis Stavros Valsamidis.
B121 Chapter 7 Investigative Methods. Quantitative data & Qualitative data Quantitative data It describes measurable or countable features of whatever.
Expert Report By Prof. Rayko Genchev Raykov, Ph.D. On the research of experts’ views on the problems considered in the project “New Approach in Technology.
© 2002 McGraw-Hill Companies, Inc., McGraw-Hill/Irwin TURNING MARKETING INFORMATION INTO ACTION.
Business research methods: data sources
WRITING A RESEARCH PROPOSAL
GUHA method in Data Mining Esko Turunen Tampere University of Technology Tampere, Finland.
Data Mining By Andrie Suherman. Agenda Introduction Major Elements Steps/ Processes Tools used for data mining Advantages and Disadvantages.
Factors affecting contractors’ risk attitudes in construction projects: Case study from China 박병권.
E-POSTER PRESENTATION MPhild/Phd
Dr.Mohamed E. Osman & Prof.Thuwayba A. Al Barwani With Dr.Abdo M. Al Mekhlafi Dr. Khalid Al Saadi Ms.Laila Alhashar Ms.Fathiya Al Maawali Ms.Zuhor Al lawati.
Attention Deficit Hyperactivity Disorder (ADHD) Student Classification Using Genetic Algorithm and Artificial Neural Network S. Yenaeng 1, S. Saelee 2.
Data Mining. 2 Models Created by Data Mining Linear Equations Rules Clusters Graphs Tree Structures Recurrent Patterns.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence From Data Mining To Knowledge.
Gambling Research Think Tank December 7, About NSHRF Speaking the Same Language –Evidence, research and evaluation –Types of gambling research strategies.
Raising Academic Standards for all School Development Planning Initiative.
Developing Business Practice –302LON Introduction to Business and Management Research Unit: 6 Knowledgecast: 2.
An Evaluation of A Commercial Data Mining Suite Oracle Data Mining Presented by Emily Davis Supervisor: John Ebden.
LEARNING PRIORITY OF TECHNOLOGY PROCESS SKILLS AT ELEMENTARY LEVEL Hung-Jen Yang & Miao-Kuei Ho DEPARTMENT OF INDUSTRIAL TECHNOLOGY EDUCATION THE NATIONAL.
THE EFFECT OF USING PICTURES ON COMPREHENSION OF POETIC TEXT AMONG SECONDARY SCHOOL STRUGGLING READERS: A CASE STUDY Presentation.
TEMPLATE DESIGN © The Homework Effect: Does Homework Help or Harm Students? Katherine Field EdD Candidate, Department.
“School-family collaboration towards violence prevention in school pupils” Vlora Sylaj, University of Prishtina, Kosovo.
Developing Business Practice –302LON Introduction to Business and Management Research Unit: 6 Knowledgecast: 1.
HOW TO WRITE RESEARCH PROPOSAL BY DR. NIK MAHERAN NIK MUHAMMAD.
Copyright  2004 McGraw-Hill Pty Ltd. PPTs t/a Marketing Research by Lukas, Hair, Bush and Ortinau 2-1 The Marketing Research Process Chapter Two.
RESEARCH IN MATHEMATİCS EDUCATION Karadeniz Technical University Fatih Faculty of Education Prof.Dr. Adnan Baki.
Educational Objectives
Promoting the wellbeing of Africans through policy-relevant research on population and health 1 Impact evaluation of the East African Quality in Early.
SENIOR SECONDARY SCHOOL BIOLOGY TEACHER’S PERCEPTION OF THEIR NEEDS IN KWARA STATE, NIGERIA. M.Ed. Research Proposal Seminar By MORADEYO, Ismaila (12/68ON007)
IMPACT OF QUALITY ASSURANCE SYSTEM IN EFFECTIVENESS OF VOCATIONAL EDUCATION IN ALBANIA IMPACT OF QUALITY ASSURANCE SYSTEM IN EFFECTIVENESS OF VOCATIONAL.
English stress teaching and learning in Taiwan 林郁瑩 MA0C0104.
CHAPTER 2 Research Methods in Industrial/Organizational Psychology
ABSTRACT THE CHALLENGE OF INTEGRATING A RDU TRAINING MODEL INTO THE REALITY OF A HEALTH SYSTEM CONTEXT Problem Statement: The Dar es Salaam Urban Health.
What is Research? research is an unusually stubborn and persisting effort to think straight which involves the gathering and the intelligent use of relevant.
An Introduction Student Name: Riaz Ahmad Program: MSIT( ) Subject: Data warehouse & Data Mining.
ICT Implementation in Students team 3 rd December, 2012 Shastri Bhavan, New Delhi Points for discussion Education Draft Document.
Sotarat Thammaboosadee, Ph.D. EGIT563- Data Mining Individual Project Specification 1.
SAMPLING TECHNIQUES CHAPTER 2 Dr. BALAMURUGAN MUTHURAMAN
Initial Project Aims To increase the capacity of primary schools in partnership with parents to implement a sustainable health and sexuality education.
1 Evaluation of the Effectiveness of Most Vulnerable Children Quality Improvement Trainings in five Regions of Tanzania Author: Flora Nyagawa 1 ; Kusekwa.
The KDD Process for Extracting Useful Knowledge from Volumes of Data Fayyad, Piatetsky-Shapiro, and Smyth Ian Kim SWHIG Seminar.
Prepared by Fayes Salma.  Introduction: Financial Tasks  Data Mining process  Methods in Financial Data mining o Neural Network o Decision Tree  Trading.
Collage Score Card & Software defect prediction
Prediction Modelling of Academic Performance A Data Mining Approach
DATA COLLECTION METHODS IN NURSING RESEARCH
Unit 2 GCSE Business Communication Systems
Presented by Khawar Shakeel
A Methodology for Finding Bad Data
Introduction to Data Mining
MIS 451 Building Business Intelligence Systems
CHAPTER 2 Research Methods in Industrial/Organizational Psychology
Knowledge Discovery Systems: Systems That Create Knowledge
Prepared By: Mr. Eleazer Fianko Ofei
Week 11 Knowledge Discovery Systems & Data Mining :
Business Research Methods
Doing Educational Research By: T
P.K.S.S.Thilakarathna Department of Educational Psychology
Research Problem: The research problem starts with clearly identifying the problem you want to study and considering what possible methods will affect.
SERVICE QUALITY & OPERATIONAL PERFORMANCE OF TOUR OPERATORS IN KENYA
Exploring Marketing Research William G. Zikmund
SERVICE QUALITY & OPERATIONAL PERFORMANCE OF TOUR OPERATORS IN KENYA
Research design and techniques Workshop ICBEDC 2010
Effects of light on health
Findings Elieza Paul-ISLP-Country Coordinator
DR. Ibrahim H.M. Magboul Community College of Qatar
Presentation transcript:

Investigating mobile based prediction modelling of academic performance for primary school pupils: a data mining approach. by Mvurya Mgala Supervisors: Dr Audrey Mbogho and Prof Gary Marsden

Introduction Problem statement Low academic performance of primary school pupils in some regions has presented a worrying trend. Research has shown this to be a widespread problem among developing nations. The problem has been attributed to many factors, ranging from students’ personal factors, teacher factors, school factors, to family background factors.

Motivation The study will reveal the impact of the factors surrounding pupils’ low academic performance. Discover the causes with the highest impact which can be used to build a prediction model. The model will be used by education stakeholders to predict pupil’s performance. Will propose intervention measures and facilitate informed decision making.

Area of research Population: 649,931 Divisions: Kinango, Matuga, Msambweni, Kubo. Area: 832,200 ha

What a contrast

Crowded classes

Lack of facilities

Poverty

So what is the impact of these factors on academic performance in primary schools in the developing world?

Research Questions How can the Bayesian classifier be modelled from the primary schools’ data? How can a Bayesian model be used for prediction of primary school pupils’ academic performance? What mobile application artefact can be designed to automatically predict academic performance?

Significance of the study Findings of the study will contribute to the field of computer science and KDD in the following way: Provide a process to design and create a prediction model artefact that predicts academic performance for primary school pupils. Expose the social and technological issues that influence the successful design, implementation and adoption of an academic performance prediction model. Support and enrich the classification approaches in implementation and adoption of prediction systems.

 Gather data through semi-structured interviews, questionnaires and secondary data,  Pre-process the data to extract relevant factors that affect academic performance  Data mining: apply specific algorithms to extract patterns from data,  Interpretation: making sense out of the extracted patterns,  Knowledge: the sense made out of the patterns, Research Approach

Original Data Target Data Preprocessed Data Transformed Data Patterns Selection Preprocessing Transformation Data Mining Interpretation Data mining process Data from semi-structured interviews Questionnaires and secondary data Knowledge will be extracted by stakeholders from a mobile phone

Pupil, teacher, School, parent data Classification Algorithms Data General patterns “What factors determine low academic performance in primary schools ?” Classification Algorithm Mining Algorithm Bayesian networks Patterns coded into a mobile app

Methodology Target Population The research will be targeted towards primary school pupils of 10 primary schools in Kwale County in Kenya. Sampling Design Stratified sampling will be used since the target group is known. A list of the factors will be obtained through literature and semi-structured interviews with 18 education officers. Questionnaires will be given to 50 teachers and 200 pupils.

Model evaluation-Confusion Matrix Predicted Original classesC’B’A’Total C5000 B A Total Rows show the actual classes Columns show the predicted classes

Mobile artefact evaluation The mobile application artefact will be evaluated using a field-based usability evaluation methodology

Impact evaluation Five pupils in their final year will randomly selected. The prediction artefact will be used to determine their likely outcome in the final examination. Some intervention measures will be put in place and the pupils’ final results compared with the predicted grades. The study will therefore be able to propose possible interventions to the stakeholders.

Design and testing of a prediction model for academic performance of primary school pupils. Provides an alternative to dependence on final examinations to determine students’ abilities Provide means by which decision makers can make accurate decisions and effective policies. Contribution to Knowledge

The end!