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Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
Yang, Jeong; Lee, Young; Fernandez, Amanda; Sanchez, Joshua – Journal of Cybersecurity Education, Research and Practice, 2020
As the cyber security landscape dynamically evolves and security professionals work to keep apace, modern-day educators face the issue of equipping a new generation for this dynamic landscape. With cyber-attacks and vulnerabilities substantially increased over the past years in frequency and severity, it is important to design and build secure…
Descriptors: Computer Security, Programming Languages, Programming, Computer Uses in Education
Erümit, Ali Kürsat – Education and Information Technologies, 2020
Purpose of this study is determined effects of different teaching approaches on programming skills. Therefore, the effect of three different types of activities prepared with Scratch on 423 sixth grade students' attitudes towards computer technologies, algorithmic thinking skills and reflective thinking skills on problem solving were investigated.…
Descriptors: Teaching Methods, Instructional Effectiveness, Programming, Programming Languages
Patton, Belinda Andromeda – ProQuest LLC, 2020
The rise in demand for computer programming jobs has created a significant need for computer programming training. Online learning can be an effective tool for meeting the needs of these job demands. The challenge for universities is that computer programming is perceived as a difficult course by many students (Askar & Davenport, 2009; Baser,…
Descriptors: Student Attitudes, Undergraduate Students, Programming, Computer Science Education
Cansu, Sibel Kiliçarslan; Cansu, Fatih Kürsat – International Journal of Computer Science Education in Schools, 2019
Computers and smart devices have become ubiquitous staples of our lives. Computers and computer-controlled devices are used in all industries from medicine to engineering, and textile production. One field where computers have inevitably spread into is education, and one pre-requisite of controlling computers, or increasing the level and…
Descriptors: Computation, Thinking Skills, Problem Solving, Computer Science Education
Comparing Loops Misconceptions in Block-Based and Text-Based Programming Languages at the K-12 Level
Mladenovic, Monika; Boljat, Ivica; Žanko, Žana – Education and Information Technologies, 2018
Novice programmers are facing many difficulties while learning to program. Most studies about misconceptions in programming are conducted at the undergraduate level, yet there is a lack of studies at the elementary school (K-12) level, reasonably because computer science neither programming are regularly still not the part of elementary school…
Descriptors: Programming, Misconceptions, Elementary School Students, Teaching Methods
Reinhart, Alex; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…
Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education
Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
Revelo, Oscar Sanchez; Collazos Ordonez, Cesar Alberto; Redondo, Miguel A.; Ibert Bittencourt Santana Pinto, Ig – IEEE Transactions on Learning Technologies, 2021
The incorporation of collaborative work in the educational field grows day after day, as does the research associated with this topic. One of the most recurring problems faced by teachers who want to employ this learning strategy is the good students' group formation since this task can be complex both conceptually and computationally, especially…
Descriptors: Homogeneous Grouping, Cooperative Learning, Personality Traits, Genetics
Dickson-Karn, Nicole M.; Orosz, Steven – Journal of Chemical Education, 2021
Proper sampling techniques are of the utmost importance in obtaining accurate and precise results in chemical analysis. A Python language computer simulation providing fast feedback on sampling concepts and statistics was delivered to students through Google Colab. Students used the simulation to aid in their exploration of sampling and sampling…
Descriptors: Programming Languages, Chemistry, Computer Simulation, Sampling
Aivaloglou, Efthimia; van der Meulen, Anna – ACM Transactions on Computing Education, 2021
Courses in computer science curricula often involve group programming assignments. Instructors are required to take several decisions on assignment setup and monitoring, team formation policies, and grading systems. Group programming projects provide unique monitoring opportunities due to the availability of both product and process data, as well…
Descriptors: Student Attitudes, Grading, Cooperative Learning, Programming
Torun, Berkay; Karakurt, Serdar; Aydin, Taha Bilal; Altunel, Yusuf – Turkish Online Journal of Educational Technology - TOJET, 2021
In this paper we present the result of our work on implementation of an interactive environment that can be used to develop adaptive games with animating characters. The environment is designed to run in design and run mode, whereas certain design mode characteristics are still applicable in run mode so that the player can enhance the game and…
Descriptors: Educational Games, Instructional Design, Computer Games, Computer Simulation
St. Fleur, Abdah; deWinter, Jennifer – American Journal of Play, 2021
Using interview data from six Black content creators for "The Sims 4" (2014), the authors consider the politics of representation and self-expression in computer games. Black content, the authors find, consists not merely of depictions of skin tones, but also of the diverse global cultures of Black lived lives and Black…
Descriptors: Computer Games, African Americans, Diversity, Disproportionate Representation
Christian, Wolfgang; Belloni, Mario; Hanson, Robert M.; Mason, Bruce; Barbato, Lyle – Physics Teacher, 2021
Physlets, educational applets developed at Davidson College, are a widely used teaching resource designed to simulate a variety of physical phenomena. Originally, each Physlet was a Java simulation that was embedded in an HTML page as an applet and then customized using JavaScript to simulate a specific physics concept. The use of Java to simulate…
Descriptors: Physics, Computer Oriented Programs, Programming Languages, Simulation
Sengupta, Ishita – Journal of Chemical Education, 2021
Introducing elementary concepts of nuclear magnetic resonance spectroscopy (NMR) to a beginner can be challenging. Using an interactive graphical platform can greatly aid in demonstrating key concepts in such cases. This paper aims to bridge this gap in teaching basic NMR spectroscopy through simple standalone interactive Python programs or a…
Descriptors: Scientific Concepts, Spectroscopy, Science Instruction, Teaching Methods