Firstly, computation refers to a type of calculation that follows an unchangeable model called an algorithm (Ghergulescu 2016, p.225). The study of computer science refers to modeling a computation and developing a computer system. This involves experimentation, engineering and formulating a theory for the computation process. The whole process creates a foundation for managing and fulfilling the employability needs in any profession. Computer science means to design concrete patterns in the computer system and following these can help resolve problems. By using a computer, specific aims and objectives with regards to computation problems can be solved through this experience.
Computer science theory suggests that computers are related to education as one of the core essences of education is to solve problems and this is the main purpose of computers (Khan and Singh 2015, p.125). Computers tackle complex problems and offer solutions to issues that the human brain is incapable of calculating. The ontological approach specifies that computational thinking refers to following patterns. For example, Microsoft Word is used as a tool to display text. It can identify inaccuracies in spelling and offer possible solutions. Therefore, the epistemology of Microsoft word is that by following unchanged patterns, it identifies the needs of its users and offers solutions. As a result, it can create ease for the user.
This term is related to understanding how the brain works. One of the functions of the brain is to combine ideas together (Jalan 2016, p.87). The brain takes things from one context and uses them in another, via a process called synthesis. Research into this process could be used for computation as it can identify ways in which a computer can be used effectively, by using the processes of the brain as a foundation. This research will help fuel further developments both in understanding the human brain and developing newer computation methods to be used in computers. The fundamental aspect of cognitive science recognises that computation could be used as an instrument of creativity for educational purposes. For example, social media tools that are available online can be used in the context of education. Similarly, different devices such laptops, iPods, mobile phones, and recorders can be used in classrooms to help develop cognitive patterns when learning new theories and knowledge.
This term is related to the biology of the brain. It investigates the brain’s physical particles and the structure of its components (Stephens 2016, p.235). Research in this field has shown that neurons (brain cells) within the brain have endless synapses which create interconnections. One of the focuses of modern research in this field is on the creation of new neurons and therefore new connections between their synapses. This could be regarded to be conducive for computers as it shows how ideas could be connected together. Additionally, this knowledge identifies how computers can use the biology of the brain to become the tool of solving problems.
It is worth noting that some academics assert that many global academic figures have an ego central approach regarding new technology (Seymour 2008, p.231). Therefore, there is a lack of criticism of new technology. Contrary to this, it is argued that digital development is very complex. It is fastly growing and difficult to keep up with. It requires understanding different contexts and tools so it is complicated. Finally, it has an element of isolation from human connection. Therefore it can be a barrier for education. The reason is that one of the fundamental elements of education is that it is based on human connection. The concept of education is to have a social interaction and to learn. If there is no human connection, then there is no social interaction. This means that the core component of education is disappeared.
An alternative perspective is that education is about learning, without the necessity of social interaction. The combination of both connections with the computer and social interaction will enhance the human needs by preparing students for today’s world. Therefore, computation can act as humans and technically become facilitators. The learning area expands and extends beyond four walls. These three theories explicate that the pedagogy of computing can be effective if applied within an educational provision.
Ghergulescu, I. (2016) ‘To Compute: A Novel EEG-Based TimeOnTask Threshold Computation Mechanism for Engagement Modelling and Monitoring International.’ Journal of Artificial Intelligence in Education, v26 n3 p821-854
Jalan, S. (2016) ‘Students’ Thinking Process in Solving Combination Problems Considered from Assimilation and Accommodation Framework’. Educational Research and Reviews, v11 n16 p
Khan, F., and Singh, K. (2015) ‘ Curricular Improvements through Computation and Experiment Based Learning Modules.’ Advances in Engineering Education, v4 n4
Stephens, G. (2016) ‘Digital Liminality and Cross-Cultural Re-Integration in the Middle East.’CEA Forum, v45 n1 p20-50
Seymour, P. (2008) ‘Computer Criticism vs. Technocentric Thinking.’ Another version appeared in Educational Researcher vol. 16, no. I p100-230