Programming Students Research Articles

Teaching computer programming: impact of Brown and Wilson's didactical principles

This research studies the effects of the application of didactics to the teaching of computer programming, focusing on programming skills in the Python computer language. The problem arises from the failure and dropout rates of students in computer programming in computer science careers in INACAP and the consequent interest in promoting better learning. The general objective is to study the effects of an innovative methodology, based on Brown and Wilson's didactic principles, on the teaching process of Python programming in computer science students at INACAP. The theoretical framework is based on the didactics of teaching computer programming and the concepts of computational thinking skills of various theoretical references, and in particular on the didactic principles of Brown and Wilson. This research is carried out with a quantitative methodology of explanatory scope and with a quasi-experimental design, with a purposive sample, for the experimental stage the sample will consist of 100 first year undergraduate students of Computer Science, of which 50 will be the experimental group and 50 will be the control group. The hypothesis proposed is that “The students in the experimental group obtain a higher performance when applying Brown and Wilson's didactic principles than the students in the control group who are taught in a traditional way.” The data collection technique used will be a 45-question multiple-choice test. The data analysis will be performed by applying statistical criteria, comparison of means and variances, among others.

School Library Service for Pre-Kindergarten Students: An Analysis of Certification and Standards

Abstract Enrollments in publicly funded pre-kindergarten (pre-K) programs are on the rise in the United States with bi-partisan support for universal pre-K increasing. Hypothetically, pre-K students should be able to access the school library and receive services and instruction from the school librarian. However, it is unclear if school librarians have either the leverage to serve these pre-K students or the necessary guidance to do so. This document analysis study involved a systematic review of school librarian certification documents, school library standards, and early childhood standards for each of the 50 states and the District of Columbia. Findings reveal uneven justification for pre-K student services and programming through school libraries. School librarians are certified to serve pre-K students in approximately half of the states, but few states have school library standards for pre-K, leaving school librarians with little direction about how best to instruct them. Implications for practice, policy, and research are discussed.

ORGANIZATION OF CONTROL AND EVALUATION OF THE FORMATION OF COMPETENCIES IN THE PROCESS OF TEACHING PROGRAMMING

This article presents suggestions and recommendations for teaching students programming languages and forming their programming competence based on the competency approach.

Investigating Programming Students Problem Comprehension Ability and its Association With Learning Performance

Contribution: Students’ problem-understanding abilities and their relationship with programming learning were investigated using a methodology little explored in the existing literature. Background: Problem comprehension is an ability used during software development. Current research points to conflicting results on students’ ability to interpret problems, which calls for further research. In addition, the influence of this skill in programming learning also deserves additional studies. Research Questions: The following research questions were developed: RQ1) Can introductory programming students correctly interpret the statement of programming questions? RQ2) Is the student’s problem comprehension ability associated with creating correct programs? Methodology: Forty-eight students enrolled in an online introductory programming course participated in the investigation. Students’ problem-understanding externalizations were analyzed, and statistical tests were performed to assess the association of this ability with programming learning performance. Findings: Most students externalized a satisfactory degree of problem-understanding competency. The cases in which students’ misinterpreted the problem were associated with creating faulty software. However, a closer analysis suggests that there are other factors that must also be considered.

Energy Conservation Analysis Using Arduino

Studies have shown that students have difficulties in explaining concepts related to energy. Here, we report on an activity in which students analyze three similar energy scenarios, examining their own data taken with the aid of an Arduino microcontroller. In addition to learning about energy, students gain electronic skills, programming skills, and data analysis skills through these exercises.

Attitudes of Saudi female students toward the use of mobile devices in learning computer programming: An empirical study

The purpose of this study is to explore the attitudes of Saudi Arabian female students toward mobile learning approaches pertaining to their learning experiences. Our methodology involved two groups–one that was subjected to a traditional teaching approach and the other (treatment group) that was subjected to a teaching approach with an intervention involving the ViLLE visualization tool during a semester in a programming class. We employed the Mobile Learning for Computer Programming framework to evaluate the perception of the use of mobile devices pertaining to the learning experience of female programming students in Saudi Arabia. Overall, the treatment group had positive attitudes toward mobile-based learning. This approach can promote engagement in learning systems, enhance the learning experience, improve the quality of learning, and help explain learner behavior.

Predictors of Academic Success in First Semester Nursing Students

The anticipated nursing shortage requires a closer look at academic predictors of success for first-year nursing students. Literature shows that there is a significant shortage of students graduating from nursing programs to replace the nurses leaving the workforce. This study examined whether self-efficacy and self-esteem predict student success for first-year baccalaureate nursing students taking an introductory science course: Biology for Science Majors (BIO 130). Understanding the relationships between self-efficacy, self-esteem, and the end-of-course grade to measure academic success can inform future student success programming for undergraduate nursing students. The study used a correlation design to determine relationships between students’ self-efficacy, self-esteem, and academic success. The independent variables were self-efficacy and self-esteem. The dependent variable was student academic success measured by students’ final course grades. Pearson correlation and linear regression analysis indicated a weak relationship between scores on the General-Self-Efficacy Scale (GSES) and final course grades. Similarly, a weak relationship was found between scores on the Rosenberg Self-Esteem Scale (RSES) and the final course grades. This finding remained consistent when controlling for each independent variable.

Validation of a Spanish-language Version of a Computer Programming Aptitude Test for First-year University Students

There is increasing interest in computer science and computing bachelor programs due to the growing importance of technology in the globalized world. Thus, as higher education institutions strive to serve a diverse student demographic, it is salient to gauge their programming abilities to improve guidance on learning processes regarding their initial knowledge state. Despite the availability of certain instruments to measure student programming skills, these are traditionally aimed at younger populations and do not accurately discriminate the different levels of ability among university students. This article introduces a translation into Spanish and validation of an existing English-language aptitude test for computing jobs that can be used to measure the programming abilities of students with no prior experience in the field. Following a cyclic research methodology, two iterations were carried out in this article. First, the aforementioned test was translated and validated via expert judgment and focus groups, in which certain items were removed subsequent to a quantitative analysis. The resultant instrument underwent a second validation using a larger population of students. Analysis conducted after the second iteration showed this instrument to deliver good internal consistency, good difficulty and discrimination indices, and a moderate correlation with the grades of the midterm exam of a programming course undertaken by first year engineering students. This work contributes to both increasing the number of tests available in the Spanish language with which to assess programming abilities, as well as to the broader literature regarding test adaptation, translation and validation.

Open badges and achievement goal orientation: a study with high-performing student programmers

Open badges and achievement goal orientation: a study with high-performing student programmers

POM QM for Windows Training for Industrial Engineering Students at the University of Serang Raya (UNSERA) in Solving Linear Programming Problems in Everyday Life and the World of Work

POM QM for Windows training on the Linear program is carried out with the aim of solving the problem of allocating resources which is quite complex in the best and easiest way to do it. This training was conducted for students by explaining the use of the POM QM application for Windows and ending with a simulation by students. The output of this training is that students already understand how to install and use the POM QM application in solving linear programming problems and students are quickly able to draw conclusions about linear programming problems based on the results of application calculations. As well as with the POM QM for Windows training, participants or industrial engineering students are able to solve complex linear programming problems quickly and precisely.

Motivating municipal engineering students to learn computer language with integration of specialised design problems and programming

ABSTRACT Computer programming and municipal engineering (ME) students’ specialised knowledge are still poorly integrated, leading to limited improvement of students’ programming abilities. This paper describes an effective attempt in ME at Xi’an University of Architecture and Technology (XAUAT). Students were divided into several teams and required to develop software tools for ME design problems using Visual C++ 6.0. In this teaching approach, students need to identify the solutions by integrating knowledge in mathematics, physics, chemistry, basic engineering science, and ME. Moreover, students should develop programmes with friendly interfaces, essential prompts, and reliable results. The example programmes, positive feedback from the survey, and better performance in the final examination proved that the students’ abilities of knowledge application and problem-solving had been developed, and their motivation in learning programming had been improved.

The Dilemma of Social Media Benefits to College Programming Students

Social media has become part and parcel of students’ life in colleges as it occupies most of their free times. Over time, results of programming units have shown a downward trend among college students at Technical University of Mombasa in Kenya. Programming, like Mathematics, requires a lot of practice that is now consumed by social media. This study investigated the impact of Social Media on Grades in terms of hours spent and the time of day Social Media is used. Descriptive statistical research was used to gain understanding of the predictive power Social Media has on the Programming Grades. A total of 142 students pursuing Degree and Diploma courses in Information Technology participated in the study. The students were drawn from Technical University of Mombasa and Kenya Coast National Polytechnic. Over 90% of the students were active Social Media users. The research was conducted in 2018-2019 academic year. Results show that social media use could predict students who scored high grades in both Degree and Diploma courses. Such students controlled their usage of Social Media. They did not use Social Media in the early morning hours up to afternoons when they were engaged in serious studies. These students used Social Media anytime of the day - which means, in between serious study sessions. On the other hand, more average students used Social Media even in the early morning and up to afternoon sessions. Notably, more average Diploma students use Social Media at bedtime than anytime. Further research is recommended with more data using Machine Learning techniques to develop a model that will predict success or failure in Programming units depending on how one uses social media.

Model for evaluation of multiple abilities programming problems in online massive environments

Research indicates human being is endowed with multiple intelligences, skills, and abilities. In the context of education, many exercises demand multiple skills from students to successfully solve them in different areas of knowledge. In computer science, computer programming is one of the skills that involves the use of multiple skills for problem-solving, where problems can be solved in more than one way (paths). On massive environments for teaching programming, it is common for automatic assessment systems to observe only the final result of the student's interaction with the learning object, not identifying the individual interaction of multiple skills needed to solve the problem nor identifying a solution path adopted by the student. Many models were proposed based on Elo models, which use performance expectation, and Item Response Theory, but these models do not consider the various paths to solve problems. The objective of this work is to propose a model also based on performance expectation, which individually estimates multiple abilities of students in the context of massive online education, assuming problems have more than one solution, and there is access only to the final result (right or wrong). An experimental setup is proposed to validate the model, involving the use and analysis of the proposed model through an experiment in a database, named beecrowd, and a case study with programming students. Model results are satisfactory, since: i) it is possible to treat the student's abilities individually, as well as to follow the evolution of each ability over time; ii) it is possible to predict the paths adopted by them according to the student's abilities; iii) the model also shows positive results when integrated with a recommendation system, recommending problems compatible with the student's abilities.

RECONSTRUCTION OF ELECTRO-PNEUMATIC MECHANISM AS PART OF A LABORATORY ENVIRONMENT FOR TEACHING NEEDS

The paper discusses the proposal of a mechanism forming part of the training environment for the practical preparation of faculty students for the needs of industry. The training environment serves as an educational and practical workplace ena-bling the improvement of students in PLC programming as well as in describing the functions and design solutions of the represented components from the field of pneumatics, sensors, electrical safety devices and their combinations.The design of the described mechanism was implemented as an upgrade of the existing solution, which showed some imperfections during operation. The article presents the original solution and the proposal for a new one, while at the end a comparison of the pros and cons of both solutions is made.Both described solutions were created as outputs from the diploma solution, respectively. Bachelor thesis of our students.The article has an educational and descriptive character

The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation

The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation

PERANCANGAN SISTEM INFORMASI NILAI SISWA DI SMP NEGERI 2 BERASIS WEB

Technology has advanced by leaps and bounds, as have human demands. Web technology system have become one of the most frequently used applications in the lives of ordinary mortals. By using a computer as a tool that is able to store and manage data quickly, precisely, and accurately. As a result, technological advances play an important and much needed role, especially in the field of Education or school. The problem in SMP Negeri 2 Kisaran is that administrative employees are still recording student grades into a collection of grades manually, so it takes a very long time. Therefore, the solution that can be done to solve these problems is to use the student value programming application that has been built. The results of research that has been done and the website that was built that can help and facilitate the task of administrative employees in managing student grades effectively and efficiently, as well as making reports on student grades as a result of student learning.

Predictors of Programming Abilities of Information Technology Students in UNP

Programming is one of the essential skills to be learned in the Information Technology curriculum. However, the subject is considered complicated and categorized as one of the biggest challenges in computing education. This paper is conducted to analyze and discuss the variables and limitations faced by students in learning programming. A survey of 100 University of Northern Philippines Information Technology students was achieved through questionnaires. The responses and views from the students were analyzed and investigated regarding their attitude toward learning programming. In the survey, the needs and concerns about the variables are highlighted and answered, leading to the inferences made and recommendations to enhance learning programming understanding, thus minimizing failure rates.

EFFECTIVENESS OF LEARNING OUTCOMES OF TOURISM GEOGRAPHY TEXTBOOK FOR STUDENT IN GEOGRAPHY EDUCATION STUDY PROGRAM

This study aims to determine the effectiveness of the resulting textbook development subject Tourism Geography. Development textbook using the Borg and Gall model with five steps. The steps are (1) initial study to find problems related to geography teaching materials tourism as a product to be developed. (2) create planning development teaching materials, (3) develop products based on the problems found, ( 4 ) conduct field tests on the products being developed, and ( 5 ) revise to correct weaknesses in the field trial phase. The data were obtained from the teaching material validation team, which included material experts, linguists, and learning design experts. The validation results from the expert team showed the textbooks of tourism geography obtain values 92, 4, or category very suitable for learning. While data from the results study class of 2019 programming students subject tourism geography show effective results with an average value of 84.56 or category A-. Keywords: effectiveness, textbooks, geography tourism, learning.

Effect of augmented reality-based virtual educational robotics on programming students’ enjoyment of learning, computational thinking skills, and academic achievement

The use of educational robotics for programming education has been shown to be effective in fostering students’ computational thinking (CT) skills. However, physical educational robots are expensive, which may limit their wide use in the classroom. This study used augmented reality technology to develop a virtual educational robotic system (AR Bot for short), which offers 3D visual learning feedback to strengthen spatial ability, as well as delayed feedback and auto-scoring feedback to promote students’ deeper CT processes. To examine the impact of AR Bot on programming learning, this study used a quasi-experimental design to compare an experimental group of 41 first-year university students who used AR Bot and a control group of 34 first-year university students who used Scratch. We assessed the impact of the two CT tools on students’ internal learning processes (enjoyment of learning), CT skills (problem decomposition, algorithm design, and algorithm efficiency skills), and academic achievement. The results showed that students who used AR Bot had higher enjoyment of learning, algorithm design skills, and algorithm efficiency skills but not higher problem decomposition skills and academic achievement than students who used Scratch. Enjoyment of learning led to higher problem decomposition, algorithm design, and algorithm efficiency skills but not academic achievement. Problem decomposition and algorithm design skills, but not algorithm efficiency skills, led to academic achievement. The theoretical and practical implications of the proposed tool and other CT tools in programming education are discussed.

Graduate Student Orientation:

This study surveyed graduate student orientation programming (GSOP) professionals (n = 33) on the current programmatic landscape for graduate orientation to build a taxonomy of interventions. The results indicate that GSOP addresses campus logistics and interpersonal belonging more frequently than institutional belonging, academic acculturation, or adjustment for students’ supporters. Additionally, orientation professionals were not involved in GSOP. Implications for practice are presented.