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Showing 1 to 15 of 26 results Save | Export
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Bojan Tomic; Jelena Jovanovic; Nikola Milikic; Vladan Devedžic – Journal of Computing in Higher Education, 2024
Earning Open Badges instead of regular grades and credits can be a motivating factor for high-performing students in terms of attending classes and completing assignments in extracurricular courses, but to what extent? And for what student profiles? To tackle these questions, we conducted a quantitative study with high-performing students. Each…
Descriptors: Recognition (Achievement), Goal Orientation, Programming, High Achievement
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Luedtke, Allison Oldham – Journal of Economic Education, 2023
The author describes an assignment in an undergraduate game theory course in which students work together in class to develop a computer algorithm to identify Nash equilibria. This assignment builds basic computer science skills while applying game theory knowledge to real-world situations. Students work as a team to delineate the steps and write…
Descriptors: Undergraduate Students, Game Theory, Programming Languages, Assignments
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Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
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Bettin, Briana; Jarvie-Eggart, Michelle; Steelman, Kelly S.; Wallace, Charles – IEEE Transactions on Education, 2022
In the wake of the so-called fourth industrial revolution, computer programming has become a foundational competency across engineering disciplines. Yet engineering students often resist the notion that computer programming is a skill relevant to their future profession. Here are presented two activities aimed at supporting the early development…
Descriptors: College Freshmen, Engineering Education, Programming, Coding
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Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
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Menon, Pratibha – Journal of Information Systems Education, 2023
This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…
Descriptors: Introductory Courses, Programming, Computer Science Education, Feedback (Response)
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Haglund, Pontus; Strömbäck, Filip; Mannila, Linda – Informatics in Education, 2021
Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…
Descriptors: Computer Science Education, Programming, Programming Languages, Problem Solving
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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
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Steven Sclarow; A. J. Raven; Mart Doyle – Journal of Information Systems Education, 2024
This paper presents field-tested improvements over an 11-year period of a large-scale "Introduction to Information Systems" core business school course and provides a framework for implementation. Engagement and learning in large-scale courses can prove challenging, especially when the class is a requirement within a business school's…
Descriptors: Learning Strategies, Information Systems, Large Group Instruction, Introductory Courses
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2022
No-code/low-code app development is transforming traditional information system development paradigms. This teaching tip uses an example of course unit of decision support systems (DSS) to demonstrate that introducing no-code system implementation assignments into a course as a replacement for computer programming language exercises can improve…
Descriptors: Information Systems, Information Science Education, Programming Languages, Teaching Methods
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Myint, Leslie; Hadavand, Aboozar; Jager, Leah; Leek, Jeffrey – Journal of Statistics Education, 2020
We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…
Descriptors: Statistics, Randomized Controlled Trials, Teaching Methods, Courseware
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Goldstein, Ira – Information Systems Education Journal, 2019
Computer Science students need to acquire knowledge about both the hardware and software aspects of computing systems. It is necessary for them to understand how each layer interacts with one another. However, since Graphical User Interfaces have become ubiquitous, the opportunities to interact with the computer via a command prompt as part of…
Descriptors: Computer Science Education, Computer Software, Introductory Courses, Programming
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Karnalim, Oscar – Themes in Science and Technology Education, 2017
This paper empirically enlists Python plagiarism attacks that have been found on Introductory Programming course assignments for undergraduate students. According to our observation toward 400 plagiarism-suspected cases, there are 35 plagiarism attacks that have been conducted by students. It starts with comment & whitespace modification as…
Descriptors: Plagiarism, Introductory Courses, Programming Languages, Taxonomy
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Moskal, Adon Christian Michael; Wass, Rob – Computer Science Education, 2019
Background and Context: Encouraging undergraduate programming students to think more about their software development processes is challenging. Most programming courses focus on coding skill development and mastering programming language features; subsequently software development processes (e.g. planning, code commenting, and error debugging) are…
Descriptors: Computer Software, Undergraduate Students, Programming, Programming Languages
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