BSS056-6 Theory into Practice Project Assignment Sample
Module code and Title: BSS056-6 Theory into Practice Project Assignment Sample
Introduction
The term societal implications, therefore, refers to the implied or direct relationship between technological development and scientific development and one or more society and facets (Belokurows, 2021). This report aims with the problems of the topic which is the societal implications of the use of predictive analytics within Education.
In addition to this, the aims, scope and objectives of the topic of the report are also aimed over here. Moreover, the potential insightful outcomes and application of the theory into practice are also focused over here in this report in the context of the topic. The report aims to the evidence and the method of analysis in full detail.
Rationale
The core problem which is analysed over here in this part in regards to the topic is the societal implications of the use of predictive analytics within Education that the predictive analysis in education has several serious problems (Herodotou et al. 2019). One of the problems is that it new technology adoption.
In education, the new technology adoption becomes quotes difficult to grasp by all the students. However, the predictive analysis in the education section according to the societal implications is very much difficult in meeting all the challenges which are at the next step troubling the students.
Potential for insightful outcomes
The potential insightful outcomes in the context of the societal implications of the use of predictive analytics within Education are that education plays a significant role in the development of the socioeconomic in the nation. Therefore as an educational tool of management, predictive analysis thus helps in empowering the education system and also the growth of the institution.
Moreover, it can also, therefore, assist in identifying the areas which are eventually lagging behind and set up plans to increase their quality, cultivate recent chances or opportunities, and detect future and current risks. Although with the use of predictive analytics in the education system the social implication should also be grasped properly by the students and therefore flourish in their academic careers smoothly.
Scope
The scope and aims of the societal implications of the use of predictive analytics within Education are-
- In the identification of the student in the most requirement of advertising service
- In order to manage the enrollment
- It also helps to develop the adaptive courseware of learning that initially personalizes the procedures of learning.
Aim
To identify the learning outcomes in the education system and help out the students to grip the predictive analysis with advanced technology and also scientific development to flourish in their long run of studies.
Objectives
The objectives of the societal implications of the use of predictive analytics within Education include.
- To boost and helps the growth and development of the school and education with the best experience of learning.
- To improve the success rate of the students in achieving greater marks in the examination.
Application of theory to practice
The behaviourism theory is well applicable to the societal implications of the use of predictive analytics within Education. The behaviourism theory concentrates on the prime idea that all learned behaviours are eventually through the ultimate interaction with the environment. The behaviourism learning theory is mainly learned from the environment along with the societal implications. This learning theory is the key factor in understanding how to help the students and also motivate the growth and development of the education and the schools with their best learning experiences.
Transfer of information from learners to teachers from the response towards a correct stimulates is the basis of the behaviourism learning theory (Syafei and Ulfah, 2020). In addition to all this, the behaviourism theory of learning also focuses on the improvement in the success rate of the students in holding with high marks in the examinations. Through proper behaviour in the classroom along with predictive analysis within education, it helps the students to boost up their careers and indulge in advanced analytics that makes future predictions using the method of data mining, historical data, machine learning and so on (Braun and Clarke, 2019).
The behaviourism theory of learning also focuses on motivation as the primary subject as it indicates the direct and indirect relationship between technology and science. Therefore develop more facets in society along with education. However, the behaviourism learning theory primarily focuses on one goal and in the present study, it concentrates on the societal implication along with the predictive also in the education system. In addition to this, it disports clean predictions about the learners and the student’s behaviours under certain conditions like punishment and reinforcement.
The significant benefit of behavioural learning theory to implement in education is its capability to define the behaviour of the students to use the predictive analysis clearly and also to measure the major changes in the behaviour.
Evidence
The behavioural learning theory therefore very perfectly helps out the students to judge themselves and examine themselves in regard to their education level (Larsson and Lindström, 2020). However, this model holds many implications for the future to guide the students in the toughest situations along with the predictive analysis.
Moreover, the behavioural learning theory also helps the students to work according to the behaviour of the education system by cultivating the predictive analysis in accordance with the societal implications. However, the social growth of the students is also very much vital in performing education with advanced technologies (Medina, García and Olguín, 2018).
Method of analysis
Here, the theory is being searched and therefore behavioural learning theory is chosen. Moreover, thematic analysis is also used along with qualitative data (Braun and Clarke, 2019). The predictive analysis within education and in the context of the model thus implies that students learning route is therefore based on communication and interaction with technology (Peril, 2022).
Most importantly it helps to carry out the societal implications which thus means to imply the significant connection between technological development and scientific development in accordance with the predictive analysis (bin Ismail and Haniff, 2020,). In addition to all these, the behavioural learning theory also assists the education system to uphold the predictive analysis in terms of new technologies and advanced technologies (Penprase, 2018).
However, behavioural learning theory of learning had several advantages which impact education along with predictive analysis and societal implications as discussed below-
- It helps in identifying the preferences very easily.
- This learning model is very easy to use in accordance with the societal implications.
Research gap
The research gap clearly states the main problem that is the use of the behaviourism theory is at some point not appropriate. There occurs a lack of further research in this field along with the predictive analysis and societal implications in education. However, due to the dynamic changing structure of education is in the present world and day-to-day life, the students are also suffering.
Moreover, this becomes the main research gap which should be focused on in future research studies. This research study outlines the primary gap that is with the utilisation of the behavioural learning theory in education with the societal implication along with predictive analysis. The primary gap states that the students get to learn things in various different ways which might not be the same as the other students. In addition to this, the research gap also focuses on the key factor that it becomes more complex in nature to be together.
Conclusion
The entire report is therefore concluded with the societal implications of the use of predictive analytics within Education. Most importantly, the report therefore concludes and finds out the problem of predictive analysis over education in regard to societal implications.
Moreover, the scope, aims and objectives of the topic which is the main concern of the report are also found over here in this report. Further, it also added the application of theory, behavioural learning theory of learning styles is grasped for practice and also includes the evidence and future implications. Lastly, the report, therefore, concludes with the method of analysis.
Reference list
Belokurows, R.A., 2021. A Predictive Analysis of Academic Success at Universidade do Porto.
Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z. and Hlosta, M., 2019. A large-scale implementation of predictive learning analytics in higher education: the teachers’ role and perspective. Educational Technology Research and Development, 67(5), pp.1273-1306.
Larsson, A. and Lindström, N., 2020. Controversial societal issues in education: Explorations of moral, critical and didactical implications. Acta Didactica Norden, 14(4), pp.6-sider.
Medina, M., García, C. and Olguín, M., 2018. Planning and allocation of digital learning objects with augmented reality to higher education students according to the VARK model.
Penprase, B.E., 2018. The fourth industrial revolution and higher education. Higher education in the era of the fourth industrial revolution, 10, pp.978-981.
Syafei, I. and Ulfah, A.F., 2020. Implementation of Behaviorism Learning Theories in Arabic Learning Planning. Al Mi’yar: Jurnal Ilmiah Pembelajaran Bahasa Arab dan Kebahasaaraban, 3(2), pp.197-214.
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