REM502 Research Methodologies Report Sample

REM502 Research Methodologies

Task Instructions

Write a critical literature review—an analysis and evaluation of published and unpublished materials which helps establish the current challenges and issues related to the topic under study. It should provide the reader with an overview of the research that has been already carried out on the topic and what challenges are yet to be overcome. It will also help identify research gaps.

You should address the following:

♣ Point out gaps in the literature or identify problems / issues to be solved.

♣ Highlight key issues essential to your ICT research.

♣ Summarise relevant academic/ professional resources and evaluate their strengths and weaknesses to demonstrate your critical understanding of the literature.

♣ Demonstrate that your research is rigorous and up-to-date by engaging with seminal and current work.
Guidelines to carry out a critical literature review:

♣ Browse discipline specific or area specific recent papers from reputable sources (academic and professional). (Note: 80% of the papers reviewed must be credible and reputable)

♣ Current sources published within the last 5 years are the best ones to consider since they reflect the newest discoveries and help avoid duplication of work, theories, processes, or best practices.

♣ A minimum of 8 recently published peer-reviewed sources including journal articles, books, and conference papers are to be considered. (Note: 80% of the papers reviewed must be journal articles, books, and conference papers)

♣ Refer to the library website to search for sources:
https://library.torrens.edu.au/home

♣ On the left-hand side, go to the “All databases” link and, once there, use the Popular Databases on the right-hand side. These links give you access to peer- reviewed papers that you may use in addition to those that you can locate in the main search area.

♣ Avoid using online blogs and non-peer-reviewed sources. Edited books are a good source of information because they have undergone an editorial process.

Detailed commentary on the analysis and critical evaluation presenting the strengths and weaknesses of the work must be provided for every resource. DO NOT JUST CUT AND PASTE THE ABSTRACT. You need to summarize the key findings from the papers, add their interpretations where appropriate, and
emphasize the significance of their findings in relation to your topic.

♣ The APA 7th referencing style guidelines should be used for both in-text referencing as well as the reference list.

Remember, the literature review is part of the research process. Like data collection and analysis, it should be systematic and thorough. This assessment task will later form part of the introduction of your final Research Proposal (Assessment task 3). The proposal may change depending on what is found in the literature search, and as the most suitable methodology is chosen.

Solution

Introduction

Artificial intelligence is widely accepted in modern sports for increased operational effectiveness in performing analysis, technical inclusions, and many more. Thus, the assessment critically evaluates different literature that is relevant to the research topic.

Problem statements

Technological adaptation, ethical perspectives and reduced training of the professionals are prime challenges to AI implication and machine learning.
Literature review

Article 1: Balbudhe, P., Khandelwal, D. B., & Solanki, D. S. (2022). Automated Training Techniques and Electronics Sensors Role in Cricket: A Review. Journal of Physics: Conference Series, 2286(1). https://lesa.on.worldcat.org/oclc/9567996663

In this article, Balbudhe, Khandelwal & Solanki (2022) reflect the automated training techniques and emerging Artificial Intelligence in Cricket.
The prime aim of this study is to evaluate the effectiveness of AI implications and automated training in the development of Cricket to justify the research objectives related to technological efficacy in physical processes.

This study for MBA assignment expert has been accomplished with the help of empirical analysis of different literatures and descriptive statistical analysis of the implication of technology in Cricket.

However, this peer-reviewed article presents the scope of understanding the effective integration of technological advancements in modern cricket operations such as ball tracking, DRS, measuring ball speed, bat speed, reflection timing of players and many more.

Therefore, it can be assumed that this study is significantly important for this research work in terms of understanding the modern-day impact of AI in sports and reflecting crucial technological mechanisms related to sports operations in Cricket.

Considering this literature, the prime limitation is its reduced exploration of principles with theoretical alignment.

Hence, this study provides strong evidence for the study to develop critical insights and further analyse scope to explore more.

I think that this article perfectly fits my research topic in terms of detailed explanations of different implications for understanding the topic.

Article 2: Rico-González, M., Pino-Ortega, J., Méndez, A., Clemente, F., & Baca, A. (2023). Machine learning application in soccer: a systematic review. Biology of sport, 40(1), 249-263. DOI: https://doi.org/10.5114/biolsport.2023.112970

AI implication is associated with simplifying complex procedures of sports such as Football, cricket and others that justify the effectiveness of machine learning.
This research work aims to explore the machine learning procedures in the modern sports field and generate key insights through systematic literature-based search processes.

This study creates the scope for effective learning related to the differentiated implications in the sports field to understand the concepts of staff assistance, evaluation of sports metrics, and greater data storage to present different statistics.

Considering the usefulness of this study, it reflects its integration into data management of sports such as cricket in terms of records management, streaming processes, high-resolution analysis and many more.

The only limitation of this study is its reduced focus on the emerging challenges of AI in terms of strategies and practices.

This literature reflects the predicted nature of technological advancements that will improve the overall credibility of different operational procedures.

I think that the outcomes of this literature can be helpful in measuring different components of cricket, such as players' profiles, records management, modification of data-driven observations and others.

Article 3: MLSA (Workshop) Turin, Italy). 2023 : (2024). Machine learning and data mining for sports analytic: 10th international workshop, MLSA 2023, Turin, Italy, September 18, 2023, revised selected papers (U. Brefeld, J. Davis, J. Van Haaren, & A. Zimmermann, Eds.). Springer. https://lesa.on.worldcat.org/oclc/1424588873

According to Brefeld et al. (2023), machine learning and technological advancement are integrated with the development phases of the sports industry and education. It encompasses the factors of advanced tracking mechanisms, ECMI, and others.

The prime aim of this study is associated with the sports analytics that become an integral part of modern sports development. Descriptive research has been implemented to explore the associated facts.

The prime scope of this study is its wide range of theoretical and practical implications that shape sports analytics and its mechanisms. However, this research might produce detailed insights related to analytical models and methods so that readers can understand the implications of machine learning.

Considering this research work, the selected literature of Brefeld et al. (2023) plays a vital role in terms of understanding different machine learning procedures in Cricket, such as ball trajectory measurement, turn direction vector and many more that induce the sports analysis for the coaches in training and development.

Based on the detailed exploration of this article, the only limitation is its base-level execution in the sports industry. However, the impact on technical procedures also seems to be missing, creating a knowledge gap for the readers.

Overall, it can be summarised that machine learning and AI implications make sports analytical frameworks more accurate and effective for training and development purposes.

I think that this research aligns with the critical evaluation of AI integration in Cricket to justify different operational aspects for team management, player analyses and coaching methods.

Article 4: Guo, Q., Li, B., & Saravanan, V. (2021). Role of AI physical education based on application of functional sports training. Journal of Intelligent & Fuzzy Systems, 40(2), 3337–3345. https://lesa.on.worldcat.org/oclc/8672722250

Physical training is integrated with the dimensions of sports, making the process more crucial and relevant.

This study, authored by Guo, Li & Saravanan (2021), aims to explore functional tests of AI to measure the physical fitness of college students. The objective of the study is to demonstrate different AI implications in the development of physical training procedures. A quantitative research method has been incorporated within this study to develop critical insights.

However, the study has scopes related to the evaluation of different machine learning and AI implication procedures that induce the functional tests of students and players. Therefore, it will create a scope for healthcare institutions to adopt this for effective health management.

Considering this literature, a gap in terms of the theoretical implication of technological acceptance seems to be missing, which can be considered a limitation of the study.

On the other hand, the outcomes of functional physical tests will be crucial for cricket players in terms of fitness tests and measurements, which makes this study crucial.

My feelings and observations of this specific literature reflect the core ingredients of sports mechanisms in terms of fitness training, durability tests, mental fitness measurement, and others that can be effective for further research.

Article 5: Hong Zhang. (2020). Value and Development Ideas of the Application of Artificial Intelligence in Sports Training. 1533(3). https://lesa.on.worldcat.org/oclc/8611388477

This article relates to the process of AI integration in the sports training processes.

The primary aim of this study is to determine the aspects and dimensions of AI implications in sports training and development through a qualitative approach.
Based on the findings of Hong Zhang. (2020), the synergy between humans and machines is the future of the sports industry in terms of performing operational tasks and other procedures.

Therefore, it presents the scope of monitoring different coaching methods, possible outcomes, animation, and other factors that influence learning procedures for players and students.

Based on the outcomes of this literature, it will be useful for the research work to include different dimensions of AI implication and adaptation by the sports industry and coaching organisations. This will create a greater understanding of the topic for the readers.

The prospective player’s psychology is not included and explained in this literature, which creates a limitation to the discussion.

Appropriate implications of AI in sports training create a greater coaching and learning environment for players to perform efficiently.

I realise that AI integration in sports training might affect individual brilliance and IQ levels, which are essential for cricket players to make certain decisions on the field.

Article 6: Yajun Zhang & Sang-Bing Tsai. (2021). Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training. Mobile Information Systems, 2021. https://lesa.on.worldcat.org/oclc/9270918314

In this article, Yajun Zhang & Sang-Bing Tsai. (2021) shed light on the AR, VR and other AI strategies that influence sports and the performances of associated devices.

This qualitative research study is dedicated to analysing the facts related to virtual reality, augmented reality, and other aspects of sports training procedures.

Based on the arguments and critical insights of this literature, it presents adequate scope to explore further the implications of VR and AR in Cricket to understand modern mechanisms of technological devices.

On the other hand, the findings and process of this literature will be helpful for the study to understand different dimensions of training procedures through virtual assistance that impact player performance positively.

The prime limitation of this literature is its reduced discussion on the impact on player training procedures and progress.

Sports events and mechanisms have huge implementations of virtual reality that improve the overall quality of the sports.

I think VR, AR, and other technologies are seamless in modern times, allowing for targeted accuracy and professionalism in order to cope with modern trends.

Article 7: Wei, S., Huang, P., Li, R., Liu, Z., Zou, Y., & Chen, H. (2021). Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach. Complexity, 2021. https://lesa.on.worldcat.org/oclc/9046158574

AI is the modern trend in the sports industry to enhance operational effectiveness and coaching facilities for players and staff.

This literature aims to explore differentiated aspects of AI and its application in the sports training procedure. This literature is based on qualitative research to generate descriptive analyses of the findings.

As reflected by Wei et al. (2021), this study has a huge scope for researchers to develop adequate evaluation procedures for AI integration in sports training and development.

Considering the usefulness of this literature, it has huge prospects for understanding modern AI processes in sports training facilities, such as automated bowling machines, speed measurement, and others that impact player performance.

The key aspects of player development processes and implementation in the field are not well justified in this literature, which has been considered a potential limitation.

Generalised aspects of AI and machine development make the sports training procedures more effective for the players.

I think AI development in the training procedures will enhance the durability and skill sets which are crucial for cricketers to tackle different situations and the pulse of the game.

Article 8: Jie Liu, Le Wang, & Hang Zhou. (2021). The Application of Human-Computer Interaction Technology Fused With Artificial Intelligence in Sports Moving Target Detection Education for College Athlete. Frontiers in Psychology, 12. https://lesa.on.worldcat.org/oclc/9156459838

Human-computer interaction is the most effective outcome of AI integration in the sports field.

As opined by Jie Liu, Le Wang & Hang Zhou. (2021) AI integration is associated with the development of human learning through efficient machine performances. Therefore, the qualitative and dimensional approach of this literature aims to justify differentiated applications to measure different spin degrees of cricket and other sports in terms of trajectory and vector.

It presents the scope of practical implications for the cricket teams to get incorporated within match analysis and game readings that will impact the strategic management of play.

It is useful in real life for team analysts to be aware cricketers of the potential threat of bowlers and cricketing pitches.

The only limitation is its limited observation of real-time examples that create a wide assumptive outcome for the readers.

I have gathered key knowledge related to AI's implications as a technological device in the training and development process of cricket that provides a great learning experience.

Conclusion

Completing this assessment, it can be concluded that the literature accumulated in this stage set the purpose of the study and scope to generate a higher degree of knowledge related to the emergence of AI in the sports field.

Reference list

Balbudhe, P., Khandelwal, D. B., & Solanki, D. S. (2022). Automated Training Techniques and Electronics Sensors Role in Cricket: A Review. Journal of Physics: Conference Series, 2286(1). https://lesa.on.worldcat.org/oclc/9567996663

Guo, Q., Li, B., & Saravanan, V. (2021). Role of AI physical education based on application of functional sports training. Journal of Intelligent & Fuzzy Systems, 40(2), 3337–3345. https://lesa.on.worldcat.org/oclc/8672722250

Hong Zhang. (2020). Value and Development Ideas of the Application of Artificial Intelligence in Sports Training. 1533(3). https://lesa.on.worldcat.org/oclc/8611388477
Jie Liu, Le Wang, & Hang Zhou. (2021). The Application of Human-Computer Interaction Technology Fused With Artificial Intelligence in Sports Moving Target Detection Education for College Athlete. Frontiers in Psychology, 12. https://lesa.on.worldcat.org/oclc/9156459838

MLSA (Workshop) Turin, Italy). 2023 : (2024). Machine learning and data mining for sports analytic: 10th international workshop, MLSA 2023, Turin, Italy, September 18, 2023, revised selected papers (U. Brefeld, J. Davis, J. Van Haaren, & A. Zimmermann, Eds.). Springer. https://lesa.on.worldcat.org/oclc/1424588873

Rico-González, M., Pino-Ortega, J., Méndez, A., Clemente, F., & Baca, A. (2023). Machine learning application in soccer: a systematic review. Biology of sport, 40(1), 249-263. DOI: https://doi.org/10.5114/biolsport.2023.112970

Wei, S., Huang, P., Li, R., Liu, Z., Zou, Y., & Chen, H. (2021). Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach. Complexity, 2021. https://lesa.on.worldcat.org/oclc/9046158574

Yajun Zhang, & Sang-Bing Tsai. (2021). Application of Adaptive Virtual Reality with AI-Enabled Techniques in Modern Sports Training. Mobile Information Systems, 2021. https://lesa.on.worldcat.org/oclc/9270918314