Machine learning and pattern recognition are becoming increasingly popular trends in the computer science industry. Describe how educational establishments can make use of this trend Assignment | Get Homework Help

 

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Academic English Skills Coursework 1: Source Report

Name:

 

Class:

 

Date:

 

Essay title or question:

Title:

Machine learning and pattern recognition are becoming increasingly popular trends in the computer science industry. Describe how educational establishments can make use of this trend.

 

 

Plan for overall structure of essay:

Plan for overall structure
Introduction: Background information why machine learning and pattern recognition are useful trends in education sector.
P1. Analysing data using machine learning for scholarship awards.
P2. Pattern recognition and application in education establishment.
P3. Machine learning in solving class exercises.
P4. Potential Benefits of machine learning in higher education.
P5. Multi inter-disciplinary fields in education requiring machine learning and pattern recognition.
Conclusion: Education can benefitfrom machine learning and pattern recognition.

 

Part 1: Annotated List of Sources

Select TWO sources you have read and plan to use in your essay and complete the table belowoutlining:

  • why the text is useful for your essay
  • howyou found the source.

You will focus on three different sources in part 2. Note that you should summarise and paraphrase key information in the text in order to demonstrate that you have understood the sources. You may use bullet points. You are not marked for your language accuracy, but you will be penalised for copying text from the source.

Include a reference in the following format:

Books / chapters of books:
Surname, I. and Surname, I. (Year) Title of the book Place of Publication: Publisher

Surname, I. (Year) ‘Chapter of the book’ In: I. Surname & I. Surname (Eds) Title of the book Place of Publication:

Publisher pp.1 – 18

 

Journal articles (print/ online)
Surname, I. (Year) ‘The Title of the Article’ The Name of the Journal 1 (1), pp. 1- 18

 

Reports / articles online
Surname, I. (Year) ‘The Title of the Article or Report’[Online] The Name of the Organisation or website. Available at:

url [Last Accessed 23.07.19]

 

Lectures / talks
Surname, I. (Year) ‘The Title of the Lecture or Talk’ [Online] TED Available at: url [Last Accessed 23.07.19]

 

 

 

Source 1

Type of source:

Book

 

Reference:Asthana, P., & Hazela, B., 2020. Applications of Machine Learning in Improving Learning Environment. In:Tanwar, S., Tyagi, S., Kumar, N. (eds)Multimedia Big Data Computing for IoT Applications. Springer, Singapore. pp. 417-433
This source is relevant because…
The source is relevant considering that it majorly focuses on the topic under discussion that is application of machine learning in the field of education. Besides, the book section is beneficial in the sense that it explains manner in which machine learning is specifically useful in learning situations. The source expounds on how machine learning can help in customized teaching and learning approach for the purpose of helping the learner in their education.

 

I found this source by…
Using Google Scholar, I customized the question in order to realize the best materials. Specifically, I typed “application of machine learning in education” where several outcomes came,and I narrowed the years down. The source was second in displaylist.

 

 

Source 2

Type of source:

Journal article

 

Reference:do Nascimento, R. L. S., das Neves Junior, R. B., de Almeida Neto, M. A., & de Araújo Fagundes, R. A. 2018, July. Educational data mining: An application of regressors in predicting school dropout. In International Conference on Machine Learning and Data Mining in Pattern Recognition. Springer, Cham, pp. 246-257
This source is relevant because…
The source is relevant because it focuses on the question topic. Considering that school dropout is a major concern in the education sector, application of machine learning and other related tools can aid in analysing these cases and helping decision makers to formulate policies.

 

I found this source by…
I found this source using Google Scholar site. In the site, I typed “Machine learning and pattern recognition in education” and the source was second in display.

 

 

 

Part 2: Source Report

Complete the source report for THREE more sources you have read. Include:

  • The reference
  • How you have identified the source as suitable for academic use
  • Three main points from the source which are useful for your essay, the supporting information for each idea or argument and which paragraph in the essay each main point is useful for. Make sure you cover at least three different aspects of your essay.
  • Conclusions you have drawn from your reading.

 

Source 3
Reference:

Yates, H., & Chamberlain, C., 2017, December 18.  Machine learning and higher education. EDUCAUSE Review | EDUCAUSE. Available at: https://er.educause.edu/articles/2017/12/machine-learning-and-higher-educationLast Accessed: 15.05.20

Source Evaluation
Currency

When was the text published? Are the citations and references used in the text current?

The article was published on 18thDecember2017.

 

 

 

Authority

Who is the author / organisation? Are they qualified? Is the source peer-reviewed?

The authors of this article are Heath Yates and Craig Chamberlain.

Heath Yates is a PhD candidate and Software Engineer at Biosecurity Research Institute at Kansas State University.

Craig Chamberlain is Manager of Institutional Enrolment and Budget Planning at Pacific Lutheran University.

 

Accuracy

Where does the information in the article come from? Are academic conventions used?

The information comes from sixteen different references ranging from journal articles to books.  From these, it is clear that this text seems to be objective and accurate.

 

Use of Source
Relevant key point from the text Supporting evidence / example/ data for the key point This point is useful for paragraph…
In the United States, machine learning as well as the idea of pattern recognition are useful in higher education sector. Chamberlain was approached by the University to find out specific sources that would be awarded scholarship to increase retention rate. This was made possible clustering analysis parallel to k-nearest neighbor (kNN) type of data analysis (Yates, & Chamberlain, 2017). P1. The information is useful and relevant for first paragraph considering that it expounds on how machine learning applications can help analyse data useful for school situation.

 

Potential Benefits of machine learning in higher education Yates, & Chamberlain, (2017) states that use of machine learning could help education administrators in making better decision.

 

P4. The information is relevant and useful concerning it expounds on reasons and basis on which machine learning are useful.

 

Machine learning and success to students Yates, & Chamberlain (2017) highlights that machine learning contributes to success to students in higher institutions of learning.

 

P4. The information will be used to build up more on paragraph four since it expounds more on the topic.
Source 4
Reference:

Matusov, E. (2020). Pattern-recognition, intersubjectivity, and dialogic meaning-making in education. Dialogic Pedagogy: An International Online Journal8.

 

Source Evaluation
Currency

When was the text published? Are the citations and references used in the text current?

The text was published this year, 2020. It is most current on the topic. There are forty references used, which range from 1920 to 2020. It shows how exclusive the article is. Going forward, more research concerning the topic will be done since this is a new trend.

 

Authority

Who is the author / organisation? Are they qualified? Is the source peer-reviewed?

The author of the article is Eugene Matusov. He is a professor of Education at the University of Delaware, United States, which means that he is overall suitable and qualified to deliver such work.

 

Accuracy

Where does the information in the article come from? Are academic conventions used?

As mentioned above, the author has made to use forty references ranging from books to articles, among others. This is an evident that the article is properly researched, and the information is reliable.  From these, it is clear that this text seems to be objective and accurate.
Use of Source
Relevant key point from the text Supporting evidence / example/ data for the key point This point is useful for paragraph…
Pattern recognition is essential for the learners to incorporate new ideas and skills. Matusov 2020 confirms that in conventional schools, students are placed in a manner that they can absorb new skills and knowledge based on pattern recognition. P2. The point is useful and relevant for paragraph two considering that it provides useful data relating to the topic.
Pattern recognition helps learners in critical thinking

 

 

Matusov 2020 highlight that through pattern recognition students are able to think critically and use technology for learning purpose. P4. The point is useful and will be added on fourth paragraph since it has useful data relating to the topic.
Use of technology eases tension

 

Matusov 2020 ascertains that use of technology in learning provides better approaches of learning leading to less tension.

 

 

P4. The point is useful since it provides practical examples how technology is useful in learning.
Source 5
Reference:

Essinger, S. D., & Rosen, G. L. 2011, January. An introduction to machine learning for students in secondary education. In 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)IEEE. pp.243-248

 

Source Evaluation
Currency

When was the text published? Are the citations and references used in the text current?

 

The article was published in 2011.  There were thirteen reference used from 1984 to the year article was published.
Authority

Who is the author / organisation? Are they qualified? Is the source peer-reviewed?

There are two authors who have developed the article.  They are Steven D. Essinger and Gail L. Rosen. Both are instructors at Drexel University, Department of Electrical & Computer Engineering. This shows that they are qualified.

 

 

Accuracy

Where does the information in the article come from? Are academic conventions used?

The information in the articlecomes from thirteen sources including websites, journals and books. From these, it is clear that this text seems to be objective and accurate.

 

 

Use of Source
Relevant key point from the text Supporting evidence / example/ data for the key point This point is useful for paragraph…
Machine learning application are used to solve class application. Essinger & Rosen (2011), confirmed that machine learning application can be used in secondary schools’ education.

 

 

P3.The point is useful and relevant for paragraph three considering that it provides useful data relating to the topic.
Education fields where machine learning is used Essinger & Rosen (2011) highlight that machine learning and pattern recognition is applied in subjects such as engineering and mathematics.

 

 

P4. The point is relevant for this paragraph since it provides more data on different fields where machine learning is utilized.
Data driven learning methodologies Essinger & Rosen (2011) explainthat data driven learning methodologies are part of technology means associated with machine learning.

 

 

P3. The point is relevant since it expounds more on the said topic using relevant data.

 

Conclusions drawn from your reading
It is evident that learning machine learning and pattern recognition are useful emerging trends in the education establishment. Machine learning and pattern recognition aids at solving the class problems and offers not only creativebut also efficient ways of learning.

 

 

 

 

 

 

 

You will be given a tutorial following submission of the assessment. In the tutorial, you will be asked to:

  • Show your tutor how you found your sources
  • Talk your tutor through what you think are the useful parts of the sources

You will also be given opportunity to:

  • Ask any questions you have on the assessment
  • Get feedback on the work you have done so far

 

This assessment is worth 40% of your reading mark.

 

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