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A Presentation on Thesis
Defense - 2019
Prepared by
RAJ KUMAR SHRESTHA
College Roll No: 35/2072
T.U. Reg. No. : 9-2-50-293-2012
Exam Roll No. : 7221048
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Presentation agendas

Research topic

Problem of the statements

Research objectives

Research questionnaires

Delimitation of the study

Literature reviews

Research methodology

Research findings

Conclusions
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Research Topic
“Practices of Search Engine
in E-learning of Higher
Education Students”
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Chapter I
INTRODUCTION
•
Statement of the problem
•
Objectives of the study
•
Research questionnaires
•
Delimitation of the study
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Statement of the problem

Accessibility of internet

Lack of knowledge about E-learning

Lack of using ICT tools in education

Lack of knowledge about functionality of the search engines

Lack of knowledge about new and emerging search engines

Lack of effective searching types and techniques

Lack of facing unsuitable result display
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Objectives of the study

To identify the types and frequency of search engine use by the Higher
Education Students.

To examine the tools and techniques use for search engines by students.

To identify the difficulties and satisfaction of using search engine.
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Research questionnaires

What are the various types of search engines use by colleges’ students?

What is the frequency of usage of Search engines among Higher
Education Students?

What are the searching devices or tools used by Higher Education
Students?

What are the searching techniques uses by students in internet?

What is the level of satisfaction by students when they use Search
engines?

What are the challenges encountered by Higher Education Students?
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Delimitations of the study

This study was delimited to identifying the practices of using Search Engine
in educational institutions.

The study was delimited within Tribhuvan University’s three educational
campuses and data was collected from higher education students only.

The data was collected through only close ended questionnaire.

The study was done on the respondents of ICT department only; therefore
it might be inappropriate to generalize in other subjects
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Chapter II
REVIEW OF LITERATURE
•
Review of related literature
•
Conceptual framework
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Review of related literature:

Active learning theory, Jean-Jacques Roussea

History of search engine

Studies on search engine

Search engine algorithm

Conceptual framework
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Conceptual
framework
Participators:
• Students
• Teachers
• Faculty
Members
Devices Used:
• Smart Phone
• Laptop
• Desktop
• Tablet
E-learning
and Search
Engine
Search Engines:
• Google
• Yahoo
• Baidu
• Bing
Searching Types:
• Text-Based
• Voice-based
• Image-Based
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Chapter III
RESEARCH METHODOLOGY
•
Research design
•
Population sampling
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Data collection tools
•
Data collection process
•
Data analysis and interpretation procedures
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Research design

Study Methodology: Quantitative Method

Study Design: Descriptive research design
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Population and sampling

Population of the study was carried from three educational campuses of
Kathmandu valley.

Among 270 students from three campus, researcher selected 102
respondents of ICT department bachelor’s and master’s student.

The colleges and respondents were selected non-probability, purposive
sampling with the active participation of the respondents questions.
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Data collection tools

Primary and secondary

Primary data was collected from questionnaire and secondary data was
collected from web sites and journals.
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Data collection process

Researcher visited colleges with the college approval letter and
questionnaire tools
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Data analysis and interpretation procedure

Tabulation and classifications of data

Multiple bar diagrams

Use of pie charts

Mean and standard deviation (SD)
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Chapter IV
ANALYSIS AND INTERPRETATIONS
•
Analysis and interpretations of data
•
Summary of the findings
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Analysis and interpretations of data

Access of internet

Source of information

Types of search engines

Frequency of using search engine

Devices use to access internet

Searching types

Use of advance search option

Searching techniques
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Analysis and interpretations of data

Search results preferred by respondents

Refining search results

Problems or challenges of using search engine

Satisfaction level of using search engine
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Summary of the findings
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Every students has a access of internet

Mostly use search engine(99) and ask to teacher to get information(77).

Google is a mainly used search engine (98%)

Less familiar with new or emerging search engines

Most of respondents use search engine daily in educational purpose

Smart phone and laptop are mostly used tools (95%, 89%)

Mostly used text-bases search (95%)

Mostly used advance search option(65%)
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Summary of the findings (cont..)

Keyword and author based search techniques are use (95%,64%)

Did not use most of the searching techniques

Most of respondents looks all results including web (95%)

Search results mostly refined as academic journal(56%)

Major challenges of search engine is slow internet and too much
information (62%,57%)

Satisfactory with search results (55%)
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Chapter V
CONCLUSIONS AND RECOMMENDATIONS
•
Conclusion
•
Recommendations
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Problems

Poor use of search engine

Poor knowledge about emerging new search engine

Poor use of different search techniques

Poor search result refining techniques

Facing slow internet problems

No effective searching skills and too many result
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Recommendations

Policy related recommendations

Practices related recommendations

Future related recommendations
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Policy related recommendations

Policy to support ICT based learning by Government.

Policy to integrate ICT and E-learning in teaching and learning
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Policy to access of internet easily
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Policy to provide training about importance of E-learning and search
engine in education.
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Policy to integrate science, technology and education
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Practices related recommendations
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Free and easy access of internet in colleges
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Select trained and qualified teacher
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Focus on project and assignment based education

Increase the budget of ICT infrastructure in college
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Future research related recommendations

for the future researcher to research on same field taking large area

Further research should include other faculty and other universities also

Further research should focus on searching algorithm and working
mechanism of different search engines

for the future researcher to research on search engine optimization also
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Thank You