jgHigher Nationals

Internal verification of assessment decisions – BTEC (RQF)

INTERNAL VERIFICATION – ASSESSMENT DECISIONS

Programme title BTECH Higher National Diploma in Computing
Miss Maheesha Dashantha Mr. Indika Sandanuwan
Assessor Internal Verifier
Unit 13: Computing Research Project
Unit(s)
Computer Research Project- Artificial Intelligence
Assignment title
K.L.H.SEWWANDI
Student’s name
List which assessment Pass Merit Distinction
criteria the Assessor has P
awarded.
INTERNAL VERIFIER CHECKLIST
Do the assessment criteria awarded match Yes
those shown in the assignment brief? Y/N

Is the Pass/Merit/Distinction grade awarded Yes

justified by the assessor’s comments on the Y/N
student work?

Has the work been assessed Yes

Y/N
accurately?
Is the feedback to the student: Yes to all
Give details:

• Constructive?
Y/N
• Linked to relevant assessment
criteria? Y/N

• Identifying opportunities for

improved performance?
Y/N
• Agreeing actions? Y/N
Does the assessment decision need No
Y/N
amending?
maheesha@esoft.lk 11/8/2019
Assessor signature Date
indika@esoft.lk 11/8/2019
Internal Verifier signature Date
Programme Leader signature (if
Date
required)
 Confirm action completed
Remedial action taken

Give details:

Assessor signature Date

Internal Verifier
Date
signature
Programme Leader
Date
signature (if required)
 Higher Nationals - Summative Assignment Feedback Form

Student Name/ID K.L.H.SEWWANDI KJ86849

Unit Title Unit 13: Computing Research Project
Assignment Number 1 Assessor
Date Received 1st
Submission Date
submission
Date Received 2nd
Re-submission Date
submission
Assessor Feedback:

LO1 Examine appropriate research methodologies and approaches as part of the research process

Pass, Merit & Distinction P1 P2 M1 D1

Descripts

Grade:P Assessor Signature:maheesha@esoft.lk Date:11/8/2019

Resubmission Feedback:

Grade: Assessor Signature: Date:

Internal Verifier’s Comments:The learner need to improve analytical and evaluation skills. the assessor’s grade is confirmed

Signature & Date:indika@esoft.lk 11/8/2019

* Please note that grade decisions are provisional. They are only confirmed once internal and external moderation has taken place and grades
decisions have been agreed at the assessment board.
Assignment Feedback
Formative Feedback: Assessor to Student

Action Plan

Summative feedback

Feedback: Student to Assessor

Assessor Date
signature
Student signature Date

Pearson
Higher Nationals in
Computing
Unit 13: Computing Research Project
Project Proposal
General Guidelines

1. A Cover page or title page – You should always attach a title page to your assignment. Use previous
page as your cover sheet and be sure to fill the details correctly.
2. This entire brief should be attached in first before you start answering.
3. All the assignments should prepare using word processing software.
4. All the assignments should print in A4 sized paper, and make sure to only use one side printing.
5. Allow 1” margin on each side of the paper. But on the left side you will need to leave room for
binging.

Word Processing Rules

1. Use a font type that will make easy for your examiner to read. The font size should be 12 point, and
should be in the style of Time New Roman.
2. Use 1.5 line word-processing. Left justify all paragraphs.
3. Ensure that all headings are consistent in terms of size and font style.
4. Use footer function on the word processor to insert Your Name, Subject, Assignment No, and
Page Number on each page. This is useful if individual sheets become detached for any reason.
5. Use word processing application spell check and grammar check function to help edit your
assignment.

Important Points:

1. Check carefully the hand in date and the instructions given with the assignment. Late submissions
will not be accepted.
2. Ensure that you give yourself enough time to complete the assignment by the due date.
3. Don’t leave things such as printing to the last minute – excuses of this nature will not be accepted
for failure to hand in the work on time.
4. You must take responsibility for managing your own time effectively.
5. If you are unable to hand in your assignment on time and have valid reasons such as illness, you
may apply (in writing) for an extension.
6. Failure to achieve at least a PASS grade will result in a REFERRAL grade being given.
7. Non-submission of work without valid reasons will lead to an automatic REFERRAL. You will then
be asked to complete an alternative assignment.
 8. Take great care that if you use other people’s work or ideas in your assignment, you properly
reference them, using the HARVARD referencing system, in you text and any bibliography,
otherwise you may be guilty of plagiarism.
9. If you are caught plagiarising you could have your grade reduced to A REFERRAL or at worst you
could be excluded from the course.

Student Declaration

I hereby, declare that I know what plagiarism entails, namely to use another’s work and to present it as
my own without attributing the sources in the correct way. I further understand what it means to copy
another’s work.

1. I know that plagiarism is a punishable offence because it constitutes theft.

2. I understand the plagiarism and copying policy of the Edexcel UK.
3. I know what the consequences will be if I plagiaries or copy another’s work in any of the
assignments for this program.
4. I declare therefore that all work presented by me for every aspects of my program, will be my own,
and where I have made use of another’s work, I will attribute the source in the correct way.
5. I acknowledge that the attachment of this document signed or not, constitutes a binding
agreement between myself and Edexcel UK.
6. I understand that my assignment will not be considered as submitted if this document is not
attached to the attached.

Student’s Signature: Date:

(Provide E-mail ID) (Provide Submission Date)
Assignment Brief
Student Name /ID Number K.L. Hansani Sewwandi
KJ86849

Unit Number and Title Unit 13 – Computing Research Project

Academic Year

Unit Tutor

Assignment Title Final Research Project Proposal

Issue Date

Submission Date

IV Name & Date

Submission Format:
The submission is in the form of an individual written report. This should be written in a concise,
formal business style using single spacing and font size 12. You are required to make use of headings,
paragraphs and subsections as appropriate, and all work must be supported with research and
referenced using the Harvard referencing system. Please also provide a bibliography using the
Harvard referencing system.
Research Project Proposal - Please provide a referencing list using the Harvard referencing system.
The recommended word limit is minimum 2000 words.

Unit Learning Outcomes:

LO1. Examine appropriate research methodologies and approaches as part of the research process .
Assignment Brief and Guidance:

Artificial Intelligence (AI)

Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by
machines, in contrast to the natural intelligence displayed by humans and other animals. Computer
science defines AI research as the study of "intelligent agents": any device that perceives its
environment and takes actions that maximize its chance of successfully achieving its goals.
Artificial Intelligence covers computer systems which are able to perform tasks normally requiring
human intelligence. These tasks might include visual perception, speech recognition, decision-
making, and translation between languages and many more.
AI impacts on every aspect of society and has the potential to be fully integrated into daily work and
social lives in the very near future.

Learner requires to select a suitable area from the areas given below to conduct a research and
further, needs to develop appropriate Topic, Research Questions and Research Objectives.
 How does AI aid the in-depth exploration of an environment or system?
 What role may AI play in generating content for big brand products and services?
 How does AI and machine learning contribute to the innovative use of technology e.g.
robotics, automotive transportation?
 What impact will the future influences of AI have in our daily lives?

………………………………………………………………………………………………………………………………………………………………………
…….

The Learner requires to produce a research proposal that clearly defines a research question or hypothesis,
supported by a literature review (Use the project proposal and ethical consideration form template formats)

Project Proposal should cover following areas;

 1. Definition of research problem or question. (This can be stated as a research question,
objectives or hypothesis)
2. Provide a literature review giving the background and conceptualisation of the proposed
area of study. (This would provide existing knowledge and benchmarks by which the data
can be judged)
3. Consider and define research methodology and research process. Demonstrate
understanding of the pitfalls and limitations of the methods chosen and ethical
issues that might arise.
4. Draw points (1–3, above) together into a research proposal by getting agreement with your tutor.

Acknowledgment
We need a lot of guidance and encouragement to complete this Assignment. I'm
lucky, because I have all these things. I thank Mr. Indika Sandaruwan for our
assistance as our Project Coordinator. I am especially grateful for the support
provided by Ms. Maheesha Dashantha as our subject coordinator. Finally, I would
like to thank friends and parents for encouraging me to complete this assignment
successfully.

Abstract
Artificial intelligence, sometimes called machine intelligence, is represented by machines in
contrast to natural intelligence displayed by humans and other animals. In computer science, AI
research is defined as the study of "intelligent agents": any device that understands its environment
and takes actions that maximize its chances of success. Artificial intelligence usually covers
computer systems that can perform tasks that require human intelligence. These tasks may include
visual perception, speech recognition, decision making, language translation, and more.AI affects
every aspect of society and has the potential to be fully integrated with daily work and social life in
the near future. The purpose of this research is to use the chatbot in Sri Lanka for mobile phone
users to learn English. This program is conducted by the ESOFT Metro Campus HND in Kalutara.
Research Proposal Form

Student Name :K.L.H.SEWWANDI Student number:

KJ86849

Centre Name : ESOFT Metro College-KALUTARA

Tutor : Miss Maheesha Dashantha Date: 20/04/2019

Unit : Computing Research Project

Proposed title: Uses of chat bots by mobile users in Sri Lanka
for learning English

Section One: Title, objective, responsibilities

Title or working title of research project (in the form of a question, objective or hypothesis):
Research project objectives (e.g. what is the question you want to answer? What do you want to learn
how to do? What do you want to find out?):
Title of research project
Uses of chatbots by mobile users in Sri Lanka for learning English
Question
1. What are the chat bots which are available?
2. What are the uses of chat bots?
3. Is it effective for learning English?

Objectives of the research project

Main objective
To find the Usage of chat bots by mobile users in Sri Lanka for learning English
Specific objectives
 To figure out available chatbots
 To figure out usage of chatbots
 To figure out effectiveness of chatbots when learning English.

Hypothesis of research project

Hypothesis 1:
H1- Significant amount of chatbots are available in different industries.
H2- Significant amount of chatbots are not available in different industries.

Hypothesis 2:
H1- Chatbots are very helpful for users in various industries.
H2- Chatbots are not very helpful for users in various industries.

Hypothesis 3:
H1- Chatbots are very effective when learning English.
H2- Chatbots are not very effective when learning English.

Section Two: Reasons for choosing this research project

Reasons for choosing the project (e.g. links to other subjects you are studying, personal interest, future
plans, knowledge/skills you want to improve, why the topic is important):

Instruction

Chatbot is an artificial intelligence software that can mimic a conversation with a user in natural language
via messaging apps, websites, mobile apps or the phone. Chatbot is often described as the most advanced
and promising expression of interactions between people and machines. However, from a technical
standpoint, a chatbot represents only the natural evolution of a question-and-answer system that
stimulates natural language processing. Responding to questions in natural language is one of the most
common examples of natural language processing used by end-users in various enterprises. Chatbot apps
improve the customer experience by streamlining interactions between people and services. At the same
time, they provide new opportunities for companies to improve customer engagement processes and
operational efficiency by reducing the average cost of customer service. In order to be successful, a
chatbot solution must be able to perform both of these tasks effectively. Human support plays a major role
in this. Human intervention is critical to configuring, training and optimizing the chatbot system. There
are various approaches and tools we can use to develop chatbots. Depending on the usage case we want to
address, some chatbot technologies may be better suited than others. A combination of various AI models,
such as natural language processing, machine learning, and semantic comprehension, may be the best
option to achieve the desired results.
Chatbots can be categorized using different criteria. In practice, this means that the user selects the next
step in a dialog from a list of options or types in a custom footer. Some chatbot platforms offer predefined
templates, which allow us to configure a chatbot for a specific use case with just a few clicks.

Chatbot learning is more complex. With the help of AI and NLP, they are based on machine learning and
artificial intelligence. They can understand the free form text input and react to it accordingly. They can
collect data from previous conversations and develop them for future work. Simply put - they learn and
become more talented. This technology is still fairly fresh, but it is definitely the direction that Chatbot
will evolve into in the future.

Significance of the research

There are many reasons why I chose chat bots for this project.

Section Three: Literature sources searched

Use of key literature sources to support your research question, objective or hypothesis:
Literature review
  Let’s Talk About Race: Identity, Chatbots, and AI
In this article we will discuss technologies, theories, history,
And experiences that allow us to take issues of the track and chatbot seriously. This enables us to uncover
links between race, technology, conversation and chatbot. We connect these connected networks with
network connections, as they work together to concrete the problem. Describing a problem, naming it, and
allowing the problem to be "a social and physical it that combines dispersed experience into something
tangible." Connect from specific code lines to abstract structures of theories. With Tee and Blacklist as our
foundation, we will explore the networking links of three technical AI chatbot domains, databases, natural
language processing and machine learning. All of these areas serve as a working model, avoiding track
handling difficulties and detecting potential for change. First, machine learning algorithms reveal how
trained data, race, and racism are integrated into the data sets. We argue for the creation of diverse and
ethnically-conscious databases, pushing against the often-implicit trend with database development. Next,
we will explore the technical and theoretical understanding of the language of the NLP. We highlight the
three-dimensional structures that have influenced the field. Depending on the phrase, race and racism are
often difficult to account for in their subtle, contextualized ways. For the NLP, we presented a challenge
to embrace a large number of contexts for language. Machines can then relate to the complexities inherent
in race. Finally, we examine ML with a focus on the transparency of some ML algorithms.[ CITATION
Fra19 \l 1033 ]
In writing this article, we have put together two essential questions to guide this work. Given the
complexities of the nation and chatbot issues, these questions were exposed to many narrow, domain-
specific questions as we worked through technologies in each domain. The challenges of searching the
databases, the intersection of theoretical and intersectional theories with natural language processing and
machine learning lead us to ask the essential questions. These questions open up the possibility of creating
new technological social contexts that link people and machines. By making the abstract and disparate
qualities of working with race and chatbot tangible, this article serves as an artificial guide, wherever
possible, the chatbot is deliberately able to handle race-talk in a more diverse way.[ CITATION Var19 \l
1033 ]

 Engaging High School Students Using Chatbots

Chatbots have been used on multiple occasions to obtain
People who have been interested in CS for decades. However, their potential for teaching basic concepts
and their attractive effects are not measured. In this article we have presented a chatbot software platform
that teaches basic CS concepts such as variability, conditionality and finite state automation.

In this article, we document the experience of using a well-known educational tool, Alice and the Chatbot,
a chatbot programming platform, in an online competition and in classroom environments. The goal of
creating the tool was to increase student retention and involvement, especially in girls. Teaching basic CS
concepts is a way of promoting interest in CS related careers and contributing to an increasingly important
discussion of what CS concepts should be taught. School and how to reach them. For example, working
with Alice may be more structured, requiring each student to focus on building a particular game rather
than choosing their favorite, and following a specific schedule each week. The aspect of the game has
been solved and students are given feedback on the quality of what they do. The final problem is that their
programming support and feedback can be done in class, and an online competition requires a huge
amount of resources to provide the same level of support and feedback. The difference in engagement
may be because the programming concepts of coverage are not exactly the same. For example, Alice has
data types, methods and parameters, which are the key to CS and are difficult to understand. If the chatbot
is somehow "incomplete" and can be attributed to the difference in engagement, then a teaching strategy
for girls can only be described as "imperfect" tools that start with the most earnest and move them to a
"need for further learning". In spite of the scholarly interest in researching the importance of separate
variables, their combined value is ours the highlights and future agenda include a deeper exploration of
the essential approaches to how to engage and engage students in CS.[ CITATION For18 \l 1033 ]

Literature souses search(references)

 S. Furber. Shut down or restart? The way forward for computing in UK schools. Technical report,
The Royal Society, London, 2012.
 A. Shaw. Using chatbots to teach socially intelligent computing principles in introductory
computer science courses. In Proceedings of the IEEE 2012 Ninth International Conference on
Information Technology, pages 850–851, 2012.
 "How chatbots are killing jobs (and creating new ones)". June 2017. Retrieved 2019-04-01.
 "Rare Carat's Watson-powered chatbot will help you put a diamond ring on it". TechCrunch.
February 15, 2017.

 "Better believe the bot boom is blowing up big for B2B, B2C businesses". VentureBeat. 2016-07-
 24.
 Network Working Group 1973—Transcript of a session between Parry and Eliza. (This is not the
dialogue from the ICCC, which took place October 24–26, 1972, whereas this session is from
September 18, 1972.)
 "GAGNER DU TEMPS AVEC LE CHATBOT BANCAIRE POUR GAGNER EN
INTELLIGENCE AVEC LES CONSEILLERS". Marketing Client. Retrieved April 1, 2019.
 "How chatbots are killing jobs (and creating new ones)". June 2017. Retrieved 2019-04-01.
 "Facebook launches Messenger platrofm with chatbots". 1 April 2019.

Section Four: Activities and timescales

Activities to be carried out during the research project (e.g. research, How long this will take:
development, analysis of ideas, writing, data collection, numerical analysis, It will take 12 weeks to
tutor meetings, production of final outcome, evaluation, writing the report) complete this research.

10 HNC/D in Computing 2017

Milestone one: Topic conformation and the submission

Target date (set by tutor): 27.04.2019

Milestone two: Literature review

Target date (set by tutor): 04.05.2019

Milestone three: Proposal submission

Target date (set by tutor): 18.05.2019

Milestone four: Create Questioners

Target date (set by tutor):25 .05.2019

Milestone five: Collect Data

Target date (set by tutor):01.06.2019

Milestone six: Analyze data

Target date (set by tutor):15.06.2019

Milestone seven: Draft research strategy and methods

Target date (set by tutor):60.07.2019

Milestone eight: Final report Preparations

Target date (set by tutor):11.07.2019

Milestone nine: Research Submissions

Target date (set by tutor):20.07.2019

Gantt Chart
Delimitation
The research conduct under ideas and Guidance of Alexa app users in HND student of ESOFT Metro College
Kalutara. The community is used to draw research from the data and information it collects.

Population and sample size

The community who participate in this research survey is 25 where the community is consisted of HND students
of ESOFT Metro College Kalutara.Out of that 95% is confidence and 5% is error and the sample size of the selected
population is 23.

Data collection Method

A group of students has been selected from the ESOFT Metro College in Kalutara branch. A questionnaire was
submitted to the selected group. Based on their feedback, research can continue.

Section Four: Research approach and methodologies

Type of research approach and methodologies you are likely to use, and reasons for your choice:

What your areas of research will cover:

Mythologies
Onion research will clarify research myths for studies with onion frame work.

The research onion development of this frame work. (photo)

 Positivism

Deductive

survey

Monomethod

cross sectionals

Data connectional
& Data Analysis

Outer layer-Positivism
Positivism generates testable assumptions and allows measurable explanations against accepted
knowledge of the world in which we live. The role of the researcher in positive studies is objectively
limited to data collection and interpretation. The research findings of these types of studies are generally
observable and quantitative.

2 layer -Deductive
Reduction means you start with a statement or question and your research will answer it. Answers to
questions or a speculation about the topic the researcher believes. The process of reductionist thinking
goes from theory to research question, data collection, discovery research question or confirmation.

3 layer -survey
Research onion research strategies are often associated with a reductionist approach. It is an excellent and
economical research strategy. It allows researchers to gather big data to answer who, what, where, when
and how.

4 layer -Monomethod
In mono-system, only one type of qualitative and quantitative information is collected. It may have to do
with the demands of the show. It can also demand philosophical choices and strategies used. We can also
use this method to research the opposite view of the mono-system.

5 layer-cross sectionals
We can use qualitative and quantitative research in the cross-sectional method. It helps us monitor the
behavior of a group or group of people. We can use the same method to study a person at one time.

6 layers- Data connectional & Data Analysis

In this section of Research Onions, we determine the content of the questionnaire and the sample groups.
We also think about the questions we ask in interviews and more. It is imperative to make sure that all the
decisions and tools we use are in line with philosophies.

Conceptual framework
 Effectiveness of chatbots
when learning English.

Uses of chatbots by mobile

users in Sri Lanka for learning
English.

Available chatbots

Usage of available
chatbots.

Conlution
Chatbot is an artificial intelligence program that simulates interactive human conversation using
previously calculated user phrases and audio or text-based compilations. Chatbots are frequently used for
basic customer service and marketing systems that are social network hubs and instant messaging clients.
Often included as intelligent virtual assistants in operating systems. The main purpose of the research
project is to explore the benefit of chatbots users.

Comments and agreement from tutor

Comments (optional):

I confirm that the project is not work which has been or will be submitted for another qualification and is
appropriate.

Agreed: hansisewwandi2010@gamil.com....................................................................................
(name) .....K.L.H. SEWWANDI............................................................................... date) 18 May 2019......................................................
Comments and agreement from project proposal checker (if applicable)
Comments (optional):

I confirm that the project is appropriate.

Agreed: hansisewwandi2010@gamil.com...................
(name) ........ hansisewwandi2010@gamil.com........................date) . 18 May 2019..........................................................................................................
Research Ethics Approval Form
All students conducting research activity that involves human participants or the use of data collected from
human participants are required to gain ethical approval before commencing their research. Please answer
all relevant questions and note that your form may be returned if incomplete.

Section 1: Basic Details

Project title: Uses of chat bots by mobile users in Sri Lanka for learning English
Student name: K.L.H. SEWWANDI

Student ID number: KJ86849

Programme: HND in computing

School: ESOFT metro college

Intended research start date:

Intended research end date:

Section 2: Project Summary

Please select all research methods that you plan to use as part of your project:

• Interviews:

• Questionnair
es:

• Observations:

• Use of
Personal
Records:

• Data
Analysis:

• Action
Research:

• Focus
 Groups:

• Other (please
specify):
Section 3: Participants
Please answer the following questions, giving full details where necessary.
Will your research involve human participants?

yes
Who are the participants? Tick all that apply:

Ages 12-16: Young People aged 17–18: Adults:

How will participants be recruited (identified and approached)?

Describe the processes you will use to inform participants about what you are doing:

Studies involving questionnaires: Will participants be given the option of omitting questions they do not wish to
answer?

Yes:

No:
If No please explain why below and ensure that you cover any ethical issues arising from this.

Studies involving observation: Confirm whether participants will be asked for their informed consent to be
observed.

Yes: No:
Will you debrief participants at the end of their participation (i.e. give them a brief explanation of the study)?

Yes: No:
Will participants be given information about the findings of your study? (This could be a brief summary of your
Section 4: Data Storage and Security
Confirm that all personal data will be stored and processed in compliance with the Data Protection Act (1998)
Yes: No:
Who will have access to the data and personal information?

During the research:

Where will the data be stored?

Will mobile devices such as USB storage and laptops be used?

Yes: No:
If yes, please provide further details:

Aer the research:

Where will the data be stored?

How long will the data and records be kept for and in what format?

Will data be kept for use by other researchers?

Yes: No:
If yes, please provide further details:
Section 5: Ethical Issues
Are there any particular features of your proposed work which may raise ethical concerns? If so, please outline
how you will deal with these:

Section 6: Declaration
I have read, understood and will abide by the institution’s Research and Ethics Policy:
Yes: No:
I have discussed the ethical issues relating to my research with my Unit Tutor:
Yes: No:
I confirm that to the best of my knowledge:
The above information is correct and that this is a full description of the ethics issues that may arise in the course
of my research.

Name:

Date:

Please submit your completed form to :

Grading Rubric

Grading Criteria Achieved Feedback

P1 Produce a research proposal that clearly defines a Achieved A research proposal is produced that clearly d
research question or hypothesis, supported by a literature hypothesis, supported by a literature review
review

P2 Examine appropriate research methods and conduct Achieved Research methods are found
primary and secondary research.

M1 Evaluate different research approaches and Not Not done

methodology, and make justifications for the choice of achieved
methods selected based on philosophical/ theoretical
frameworks.
D1 Critically evaluate research methodologies and Not Not done
processes in application to a computing research project to achieved
justify chosen research methods and analysis.