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Hassenfeld, Ziva R.; Govind, Madhu; de Ruiter, Laura E.; Bers, Marina Umaschi – Journal of Information Technology Education: Research, 2020
Aim/Purpose: This paper presents findings on a curricular intervention aimed at integrating computer programming with reading and writing in early elementary school. The purpose of this research was to explore the relation between students' varying literacy levels and their level of success in mastering an introductory programming language.…
Descriptors: Programming, Teaching Methods, Introductory Courses, Scores
Jaroslaw Pawel Adamiak – Open Praxis, 2024
The academic success of first-year students' learning in science faculties is by no means assured, especially in an Open Distance Learning setting with its limited number of face-to-face encounters between students and lecturers or tutors. Therefore, such encounters should be highly efficient in view of the considerable amount of knowledge…
Descriptors: Fundamental Concepts, Teaching Methods, Computer Science Education, Open Education
Dorottya Demszky; Jing Liu; Heather C. Hill; Dan Jurafsky; Chris Piech – Educational Evaluation and Policy Analysis, 2024
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…
Descriptors: Online Courses, Automation, Feedback (Response), Large Group Instruction
Zhu, Hongwei; Shen, Yuzhong – IEEE Transactions on Education, 2021
Contribution: An approach of integrating financial literacy into an introductory programming course is introduced. New learning materials are developed and the impact of the approach on motivating students and improving learning outcomes are evaluated using mixed methods. Background: More than two-thirds of college students in the U.S. graduate…
Descriptors: Money Management, Computer Science Education, Programming, Introductory Courses
Maria Jesús Marco-Galindo; Julià Minguillón; David García-Solórzano; Teresa Sancho-Vinuesa – ACM Transactions on Computing Education, 2025
Objectives: This study addresses the challenges faced by students repeating an introductory programming course (CS1) at an online university, where dropout and failure rates remain high. While programming education has been widely studied, targeted interventions for repeating students remain scarce. Our research aims to analyze the experiences of…
Descriptors: Computer Science Education, Online Courses, Repetition, Introductory Courses
Anand Jeyaraj – Journal of Information Systems Education, 2024
A significant activity in the business analytics process is enrichment, which deals with acquiring and combining data from external sources. While different strategies for enrichment are possible, it can be accomplished more efficiently through automation using Python scripts. Since business students may not be immersed in technology skills and…
Descriptors: Scaffolding (Teaching Technique), Business Administration Education, Data Analysis, Programming Languages
Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
Elvina, Elvina; Karnalim, Oscar; Ayub, Mewati; Wijanto, Maresha Caroline – Journal of Technology and Science Education, 2018
Numerous Program Visualization tools (PVs) have been developed for assisting novice students to understand their source code further. However, none of them are practical to be used in the context of completing programming laboratory task; students are required to keep switching between PV and programming workspace since PV's features are…
Descriptors: Visualization, Programming, Computer Science Education, Intelligent Tutoring Systems
Van Petegem, Charlotte; Deconinck, Louise; Mourisse, Dieter; Maertens, Rien; Strijbol, Niko; Dhoedt, Bart; De Wever, Bram; Dawyndt, Peter; Mesuere, Bart – Journal of Educational Computing Research, 2023
We present a privacy-friendly early-detection framework to identify students at risk of failing in introductory programming courses at university. The framework was validated for two different courses with annual editions taken by higher education students (N = 2 080) and was found to be highly accurate and robust against variation in course…
Descriptors: Pass Fail Grading, At Risk Students, Introductory Courses, Programming
Meier, Heidi; Lepp, Marina – Journal of Educational Computing Research, 2023
Especially in large courses, feedback is often given only on the final results; less attention is paid to the programming process. Today, however, some programming environments, e.g., Thonny, log activities during programming and have the functionality of replaying the programming process. This information can be used to provide feedback, and this…
Descriptors: Programming, Introductory Courses, Computer Science Education, Teaching Methods
Kleb Dale G. Bayaras – Online Submission, 2023
In course design, topic outline organization encompasses the structuring and sequencing of topics to be delivered in a learning environment. Recent studies in topic outline optimization revolve around massive open online courses (MOOCs) due to their abundance but not much has been studied on the traditional courses. This study investigates the…
Descriptors: Foreign Countries, Universities, Introductory Courses, Programming
What! No GUI? -- Teaching a Text Based Command Line Oriented Introduction to Computer Science Course
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
Menon, Pratibha; Kovalchick, Lisa – Information Systems Education Journal, 2020
Concept mapping, a tool originally developed to facilitate student learning by organizing and visualizing key concepts and their relationships, can also be used to represent the composition of the knowledge contained in a course. In this paper, the authors describe a specific application of concept mapping to help instructors and students…
Descriptors: Concept Mapping, Introductory Courses, Programming, Computer Science Education
Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
Lishinski, Alex; Yadav, Aman – ACM Transactions on Computing Education, 2021
Research has repeatedly shown self-efficacy to be associated with course outcomes in CS and across other fields. CS education research has documented this and has developed CS-specific self-efficacy measurement instruments, but to date there have been only a few studies examining interventions intended to improve students' self-efficacy in CS, and…
Descriptors: Self Evaluation (Individuals), Intervention, Self Efficacy, Computer Science Education

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