Exploring the use of AI in the e-learning system to facilitate pedagogy in secondary schools within Newham council

Exploring the use of AI in the e-learning system to facilitate pedagogy in secondary schools within Newham council

Introduction

Artificial Intelligence offers better teaching practices among educators since they can acquire and apply several literate ways of thinking and reasoning based on information understanding Most of the teachers are prepared with skills and knowledge to teach learners at their preferred intervals and locations. It offers useful tools and adequate resources which are instrumental to teachers’ and students in preparation for their sessions.AI shapes and help educators from all basis of life by implementing intelligent behaviors among the educationalists.It also focuses on studying animal as well as human intelligence using computational approaches, unlike schooling without AI.

Research Methodology

This segment of research methods and methodology outlines various stages from the collection of data, collation, analyzing, presentation techniques and interpretation of the data. This section gives a view on the process of obtaining data, the design process of the research, methods of analyzing data (Goddard & Melville, 2011). The methodologies, on the other hand, tend to show howthe distinctions between continuous and comprehensive assessment based on the previous system and the effect of AI on the previous regime. (Mark & Greer,1993).

It tends to enlighten and assess systems that are unrelated to AI and those that are related to AI(Bundy,1986).The distinction remains useful since it provides a precise definition of two systems. Community aspirations research commonly conducted through formative evaluation connect research with educational practices and implementing newly designed technologies. The research outcome would also be applied to address global concerns of other small states. The research methods for solving the problem statement helps to get the views of the students and teachers.(Conlon  & Pain,1996)Also proposed an idea of working together to ensure that the AI technologies are p valued to enhance the design and evaluation process.

Research Design

The research approach that recommended for this research will be an inductive one. The procedure is useful in observing specific issues relating to the research problem to get a generalized theory (Goddard & Melville, 2011).

A theory forms the master plan that helps show the processes of collecting and analyzing the information in the research. The design shows the infrastructural and structural side of the research study hence it helps to harmonize and address the research questions.

The study focuses on getting the views of the learners and instructors from various institutions sampled, analyzed and applied in answering the study questions. The design appropriate for the research is the use of case studies to be able to sample out specific institutions with the aim of explaining the research questions and solve the problem. Involvement of experts especially exploits researchers will help in design and evaluation thus helping in knowing the contribution of AI and educational theories and practices. A case study aids in the conduction of an explorative investigation, especially when using qualitative data.

Data Collection Methods and Tools

The sources of data include various websites of Education departments that are AI based. Interviews and questionnaires are also useful in data collection. Other web-based profiled, publications and journals related to the research topic are also valuable. Annual reports and various Law journals will also form part of sources of data.

Heads or representatives of Education departments willalso be interviewed and their views put together to help analyze data. Various theories and practices entities for the diverse educational organization as well are resourceful in the study. Knowledge representation will offer reasoning techniques to evaluate the world without making efforts thus help the researchers to make better decisions on what to put into action(Davis,1993).

The interviews will be conducted in person or online. The structure of the discussions will be formal or informal, focused, clear and will encourage an open-ended response from the students and teachers both for interviews. Knowledge representation again will help the researchers to share with interviewees their experience on the current educational systems.   Various limitations will come up with the interview process. The demerits will include incomplete process, no record, and lack of attention among other faults. However, despite the setbacks interviewing have many advantages like it enables easy correction of speech, it helps to develop a relationship between interviewer and interviewee, and it is less costly among other benefits.

Questionnaires and surveys will also be used in the research. To get the views of the migrants and the general public on the research topic structured questions will be put in place. The responses will then be analyzed by assigning numerical values that can then be interpreted (Dixon, 2010).

Case studies will also be used to get data for the research problem. They are focusing on a single phenomenon from a specific state, examining the people on issues relating to the topic being researched (Dixon, 2010). A combination of techniques such interviews will be used. Case studies might be subjected to section bias, they are insufficient in case of rare exposures, and it is subjected to observation bias.

Regarding the data collection tools, the research will involve semi-structured questionnaires will be used to guide the study. Some questions will be prepared to interview satisfying the research objective. Additional items will be introduced during the interviewing process.

 

 

 

Sample selection

The sample selections process relates to the samples with regards to their focus on the effects of AI  to education (Dixon, 2010). Within the context of participants, their views concerning the research problem will be sampled and analyzed to give the expected results.

Data analysis

The data analysis section shows how data collected will be interpreted, scrutinized, examined, edited and presented. Since the type of data will majorly be qualitative, hence content analysis will be used. Content analysis is the systematic description of the content of objects and material under the study. The investigation is vital in reductions and simplifications of data collected hence satisfying the research objectives.

Ethical considerations

The study will be subjected to various ethical issues. During the collection process, ethical issues will rise, participants will agree to participate voluntarily. The participants will not be harmed or abused, both psychologically and physically. Therefore, maintaining a comfortable climate will be necessary.

Research limitations

The research may face various challenges including the size of the samples, cost of preparing research materials, traveling, biasness in response to questionnaires and interviews. Notably, if the wrong methodology is used, the outcome of the results may not produce the expected results thus may not be applied in solving the real-time problem.

In conclusion, the integration of AI in education can enable experts to engage the learners in computational developments in their various communities.AI provides not only opportunities to the community as a whole but also connects persons with their future goals and objective.

 

References

Bundy, A.: What kind of field is artificial intelligence? In: DAI Research Paper No.305. Department of Artificial Intelligence, University of Edinburgh. (1986)

Conlon, T., Pain, H.: Persistent collaboration: a methodology for applied AIED. Journal of Artificial Intelligence in Education 7, 219–252 (1996).

Davis, R. What is knowledge representation? AI Magazine 14(1), 17–33 (1993).

Dixon, R. (2010). Methodology. Oxford: Oxford Univ. Press.

Goddard, W., and Melville, S. (2011). Research methodology. Kenwyn, South Africa: Juta & Co.

Mark, M.A., and  Greer, J. Evaluation methodologies for intelligent tutoring systems. Journal of Artificial Intelligence in Education 4, 129–153 (1993)

 
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