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Sirazum Munira Tisha – ProQuest LLC, 2023
Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the…
Descriptors: Computer Software, Grading, Programming, Assignments
Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
Zhadyra Akhatayeva; Kakim Sagindykov; Bazarbek Mukushev; Nurgul Kurmangaliyeva; Ardak Karipzhanova – Education and Information Technologies, 2024
The goal of the study is to create Visual Basic and MATHCAD apps to create programs that show the core force using physical forces as an example. The research subjects are high school teachers and students; the inherent context is high school STEM courses. Programs for computer visualization have been developed, and theoretical investigations have…
Descriptors: High School Teachers, High School Students, STEM Education, Computer Uses in Education
Kumar, Amruth N. – International Educational Data Mining Society, 2023
Is there a pattern in how students solve Parsons puzzles? Is there a difference between the puzzle-solving strategies of C++ and Java students? We used Markov transition matrix to answer these questions. We analyzed the solutions of introductory programming students solving Parsons puzzles involving if-else statements and while loops in C++ and…
Descriptors: Markov Processes, Puzzles, Introductory Courses, Computer Science Education
Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
Joel B. Jalon Jr.; Goodwin A. Chua; Myrla de Luna Torres – International Journal of Education in Mathematics, Science and Technology, 2024
ChatGPT is largely acknowledged for its substantial capacity to enhance the teaching and learning process despite some concerns. Based on the available literature, no study compares groups of students using ChatGPT and those who did not, more so in programming. Therefore, the main goal of this study was to examine how ChatGPT affects SHS students'…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Learning Processes
Hughes, Ciaran; Isaacson, Joshua; Turner, Jessica; Perry, Anastasia; Sun, Ranbel – Physics Teacher, 2022
Quantum computing is a growing field at the intersection of physics and computer science. The goal of this article is to highlight a successfully trialled quantum computing course for high school students between the ages of 15 and 18 years old. This course was designed to bridge the gap between popular science articles and advanced undergraduate…
Descriptors: Teaching Methods, Physics, Science Instruction, Quantum Mechanics
Wu, Ting-Ting; Chen, Jian-Ming – Journal of Educational Computing Research, 2022
Many countries have incorporated computational thinking (CT) and programming languages into their science and technology courses. Students can improve their CT ability by learning programming languages. Moreover, situated learning enables students to generate knowledge and master problem-solving skills through interaction with situations. This…
Descriptors: Computer Software, Thinking Skills, Programming, Situated Learning
Aimicheva, G.; Kopeyev, Zh.; Ordabayeva, Zh.; Tokzhigitova, N.; Akimova, S. – Education and Information Technologies, 2020
The article is devoted to the issues of teaching mobile application development and, as a consequence, training of highly qualified in-demand mobile developers. Nowadays, training professional mobile developers is a crucial task all over the world. The researchers emphasize the complexity of mobile application development associated with its…
Descriptors: Teaching Methods, Telecommunications, Handheld Devices, Undergraduate Students
Kostousov, Sergei A.; Simonova, Irina V. – International Association for Development of the Information Society, 2019
The purpose of the article is to identify conditions for the effective use of visual modeling tools that can help reduce the difficulty level of solving problems during the teaching high school students programming. Visual modeling tools are a type of software that allows you to create visual abstractions that reproduce concepts and objects of the…
Descriptors: Visual Aids, Models, Problem Solving, Computer Science Education
Benotti, Luciana; Martinez, Maria Cecilia; Schapachnik, Fernando – IEEE Transactions on Learning Technologies, 2018
In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be programmed to have a conversation with a human or robotic partner in some natural language such as English or Spanish. While…
Descriptors: Formative Evaluation, Introductory Courses, Computer Science, High School Students
Copp, David A.; Isaacs, Jason T.; Hespanha, João P. – Advances in Engineering Education, 2021
Recent changes have been made in Science, Technology, Engineering, and Mathematics (STEM) education in the United States with the goal of increasing the number of students pursuing degrees and careers in STEM. The Next Generation Science Standards (NGSS) integrate new science and engineering standards in an attempt to achieve this goal and are the…
Descriptors: Programming, Robotics, STEM Education, Standards
Akdemir, Zeynep Gonca; Menekse, Muhsin; Hosseini, Mahdi; Nandi, Arindam; Furuya, Keiichiro – Science Teacher, 2021
Quantum technologies refer to any technology developed based on the principles of quantum physics. Quantum communication, quantum computing, and quantum sensing are applications of such technologies, in which quantum mechanics underpins the key assumptions on their design and development. Quantum technologies promise revolutionary and disruptive…
Descriptors: Physics, High School Students, Science Instruction, Teaching Methods
Isomöttönen, Ville; Daniels, Mats; Cajander, Åsa; Pears, Arnold; Mcdermott, Roger – ACM Transactions on Computing Education, 2019
Literature on global employability signifies "enabling" learning environments where students encounter ill-formed and open-ended problems and are required to adapt and be creative. Varying forms of "projects," co-located and distributed, have populated computing curricula for decades and are generally deemed an answer to this…
Descriptors: Employment Qualifications, Student Projects, Student Motivation, Computer Software
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology