Personalized Education for a Programming Course in Higher Education

The purpose of this chapter is to present the intervention in personalized education for the Programming Methodology course in higher education. Indicators such as dropout rate, failing rate, and poor academic performance of the students of Universidad Tecnológica de Puebla (UTP) are necessary to propose strategies that improve education quality. Therefore, during the four-month periods of September – December in 2016 and 2017, the authors performed interventions with the strategy of personalized education with the objective to improve the indicators mentioned above. The four strategy elements are 1) content, 2) work methods, 3) pace and times, and 4) assessments options. The study that is presented in this chapter is original because it avoids a unique starting point for all students. The study attempts to go over what the students have in common; this is why the authors were able to stimulate each student to be in charge of their own knowledge freely and responsibly.

Sistem Informasi Rekam Medis Berbasis Web Pada Klinik Risa Rafana Menggunakan Metodologi Extreme Programming

Risa Rafana is a clinic that located at Wage Batujai West Praya, Central Lombok, West Nusa Tenggara Province. Risa Rafana clinic has problems in medical records processing because the existing system could not systematically assess patient, so the clinicians had trouble for finding the data of patients when had been in manual system. The is development method that was used is Extreme Programming methodology. The method prioritizing of clients as a resource person who understand the system that will be created, from the client itself acquired user story. The Stages that will be created such as planning, design, coding and testing. The information system is designed by concept of UML (Unified Modeling Language) and developed using Framework PHP (Hypertext Preprocessor), which is a web-based CodeIgniter. The processing of database by MySQL. The information system could process data of patients, doctors, specialists, labs, rontgen, medications, so it could make medical records information and made report of patient’s surgery, reporting of laboratory check, reporting of medicine prescription, reporting of drug selling that has been given to patients, so it made easier to diagnose the disease

A novel developmental genetic programming methodology for mathematical modeling and neuroevolution

A novel developmental genetic programming methodology for mathematical modeling and neuroevolution

A novel developmental genetic programming methodology for mathematical modeling and neuroevolution

A novel developmental genetic programming methodology for mathematical modeling and neuroevolution

On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology

In this thesis, we design a method that uses Ant Colonies as a Model-based Search to Cartesian Genetic Programming (CGP) to induce computer programs. Candidate problem solutions are encoded using a CGP representation. Ants generate problem solutions guided by pheromone traces of entities and nodes of the CGP representation. The pheromone values are updated based on the paths followed by the best ants, as suggested in the Rank-Based Ant System (ASrank). To assess the evolvability of the system we applied a modified version of the method introduced in [1] to measure rate of evolution which considers variability and neutrality as the major influences in the evolution of a system. Our results show that such method effectively reveals how evolution proceeds under different parameter settings and different environmental scenarios. The proposed hybrid architecture shows high evolvability in a dynamic environment by maintaining a pheromone model that elicits high genotype diversity.

On the Evolvability of a Hybrid Ant Colony-Cartesian Genetic Programming Methodology

In this thesis, we design a method that uses Ant Colonies as a Model-based Search to Cartesian Genetic Programming (CGP) to induce computer programs. Candidate problem solutions are encoded using a CGP representation. Ants generate problem solutions guided by pheromone traces of entities and nodes of the CGP representation. The pheromone values are updated based on the paths followed by the best ants, as suggested in the Rank-Based Ant System (ASrank). To assess the evolvability of the system we applied a modified version of the method introduced in [1] to measure rate of evolution which considers variability and neutrality as the major influences in the evolution of a system. Our results show that such method effectively reveals how evolution proceeds under different parameter settings and different environmental scenarios. The proposed hybrid architecture shows high evolvability in a dynamic environment by maintaining a pheromone model that elicits high genotype diversity.

Progress and Perspective on Chiral Plasmonic Nanostructures Enabled by DNA Programming Methodology

Chirality, a fascinating property ubiquitous in nature, plays an important role for living matters. DNA molecules as construction materials can precisely organize metal nanoparticles into chiral geometry at nanoscale. These...

Towards Understanding Information Systems Students’ Experience of Learning Introductory Programming: A Phenomenographic Approach

Aim/Purpose: This study seeks to understand the various ways information systems (IS) students experience introductory programming to inform IS educators on effective pedagogical approaches to teaching programming. Background: Many students who choose to major in information systems (IS), enter university with little or no experience of learning programming. Few studies have dealt with students’ learning to program in the business faculty, who do not necessarily have the computer science goal of programming. It has been shown that undergraduate IS students struggle with programming. Methodology: The qualitative approach was used in this study to determine students’ notions of learning to program and to determine their cognitive processes while learning to program in higher education. A cohort of 47 students, who were majoring in Information Systems within the Bachelor of Commerce degree programme were part of the study. Reflective journals were used to allow students to record their experiences and to study in-depth their insights and experiences of learning to program during the course. Using phenomenographic methods, categories of description that uniquely characterises the various ways IS students experience learning to program were determined. Contribution: This paper provides educators with empirical evidence on IS students’ experiences of learning to program, which play a crucial role in informing IS educators on how they can lend support and modify their pedagogical approach to teach programming to students who do not necessarily need to have the computer science goal of programming. This study contributes additional evidence that suggests more categories of description for IS students within a business degree. It provides valuable pedagogical insights for IS educators, thus contributing to the body of knowledge Findings: The findings of this study reveal six ways in which IS students’ experience the phenomenon, learning to program. These ways, referred to categories of description, formed an outcome space. Recommendations for Practitioners: Use the experiences of students identified in this study to determine approach to teaching and tasks or assessments assigned Recommendation for Researchers: Using phenomenographic methods researchers in IS or IT may determine pedagogical content knowledge in teaching specific aspects of IT or IS. Impact on Society: More business students would be able to program and improve their logical thinking and coding skills. Future Research: Implement the recommendations for practice and evaluate the students’ performance.