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Guangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
Petrie, Christopher – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) has been recently integrated into new and revised Digital Technologies content (DTC) in the Technology learning area of the New Zealand School Curriculum. Objective: To aid this change, this research examined how CT supports learning outcomes in both music and programming with the Sonic Pi…
Descriptors: Interdisciplinary Approach, Outcomes of Education, Computer Science Education, Programming
Shadi Alawneh – Discover Education, 2024
The HCS12 microcontroller and DRAGON12-Light Trainer boards are extensively utilized in microprocessor system design education. This paper details the rationale, approach, and outcomes from implementing the DRAGON12-Light Trainer board in teaching an upper-level undergraduate microprocessors course at Oakland University. The course's primary goal…
Descriptors: Computer Science Education, Programming Languages, Computer Software, Teaching Methods
Gabriella Coloyan Fleming; Michelle Klopfer; Andrew Katz; David Knight – Journal of Engineering Education, 2024
Background: Engineering curricula are built around faculty and accreditors' perceptions of what knowledge, skills, and abilities graduates will need in engineering careers. However, the people making these decisions may not be fully aware of what industry employers require for engineering graduates. Purpose/Hypothesis: The purpose of this study is…
Descriptors: Advertising, Job Applicants, Engineering, Engineering Education
Shaheen, Muhammad – Interactive Learning Environments, 2023
Outcome-based education (OBE) is uniquely adapted by most of the educators across the world for objective processing, evaluation and assessment of computing programs and its students. However, the extraction of knowledge from OBE in common is a challenging task because of the scattered nature of the data obtained through Program Educational…
Descriptors: Undergraduate Students, Programming, Computer Science Education, Educational Objectives
Donald M. Johnson; Will Doss; Christopher M. Estepp – Natural Sciences Education, 2024
Microcontrollers are widely used in agriculture, yet most undergraduate agriculture students do not have the programming skills necessary to make use of these devices in their academic programs or careers. However, generative artificial intelligence (AI) chatbots, such as ChatGPT, have the ability to write complex microcontroller programs when…
Descriptors: Undergraduate Students, Agricultural Education, Programming, Artificial Intelligence
Boldbaatar, Nomin; Sendurur, Emine – Journal of Educational Computing Research, 2019
The emergence of block-based environments aims to facilitate the problems caused by the abstractness of text-based languages. Recent studies generally focus on the effect of having block-based experience on programming education. This study is an attempt to observe the transfer of previous programming experiences (block-based vs. text-based) into…
Descriptors: Educational Games, Computer Games, Computer Simulation, Computer Software
Samuel Boguslawski; Rowan Deer; Mark G. Dawson – Information and Learning Sciences, 2025
Purpose: Programming education is being rapidly transformed by generative AI tools and educators must determine how best to support students in this context. This study aims to explore the experiences of programming educators and students to inform future education provision. Design/methodology/approach: Twelve students and six members of faculty…
Descriptors: Programming, Computer Science Education, Personal Autonomy, Learning Motivation
Boya-Lara, Carlos; Saavedra, Doris; Fehrenbach, Aaron; Marquez-Araque, Angel – International Journal of Educational Technology in Higher Education, 2022
In this work, BEAM robotics is proposed to enhance the STEM knowledge and skills of engineering students in the electrical, electronic, and mechanical domains. To evaluate the proposal, a course is designed and implemented based on a curriculum with objectives and learning activities centered on the design, construction, and operation of the BEAM…
Descriptors: Robotics, Technology Uses in Education, STEM Education, Curriculum Implementation
Wang, Sabrina Luxin; Zhang, Anna Yinqi; Messer, Samuel; Wiesner, Andrew; Pearl, Dennis K. – Journal of Statistics and Data Science Education, 2021
This article describes a suite of student-created Shiny apps for teaching statistics and a field test of their short-term effectiveness. To date, more than 50 Shiny apps and a growing collection of associated lesson plans, designed to enrich the teaching of both introductory and upper division statistics courses, have been developed. The apps are…
Descriptors: Student Centered Learning, Teaching Methods, Statistics Education, Introductory Courses
Francisco, Virginia; Moreno-Ger, Pablo; Hervas, Raquel – IEEE Transactions on Learning Technologies, 2022
Making students become intrinsically motivated to participate in daily class activities is an open challenge that has been addressed in different ways. In this article, we evaluate the impact of an educational innovation project, named TrivialCV, in terms of student motivation, engagement, and learning outcomes. We analyze the impact of two types…
Descriptors: Competition, Student Participation, Educational Innovation, Teamwork
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
Wang, Shouhong; Wang, Hai – Journal of Information Systems Education, 2021
No-code/low-code app development is transforming traditional information system development paradigms. This paper presents a pedagogical design and teaching method for no-code business app development. The contents of the teaching module include vital concepts of business app development and assignments for students. The teaching module can be…
Descriptors: Computer Software, Information Systems, Teaching Methods, Assignments
Leidig, Jonathan P. – Information Systems Education Journal, 2023
Educators are tasked with continually updating course objectives, content, assignments, and assessment to meet model curriculum guidelines. IS2020 proposes program level outcomes for required and elective areas. Two elective areas in IS2020 are Data and Business Analytics and Data and Information Visualization. IS2020 details 14 program level…
Descriptors: Course Objectives, Outcomes of Education, Curriculum Development, Required Courses
de Ruiter, Laura E.; Bers, Marina U. – Computer Science Education, 2022
Background and Context: Despite the increasing implementation of coding in early curricula, there are few valid and reliable assessments of coding abilities for young children. This impedes studying learning outcomes and the development and evaluation of curricula. Objective: Developing and validating a new instrument for assessing young…
Descriptors: Programming Languages, Computer Software, Coding, Computer Science Education