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Jon-Paul Paolino – Teaching Statistics: An International Journal for Teachers, 2024
This article presents a novel approach to introducing principal component analysis (PCA), using summary tables and descriptive statistics. Given its applicability across a variety of academic disciplines, this topic offers abundant opportunity for class discussion and activities. However, teaching PCA in an introductory class can be challenging…
Descriptors: Statistics Education, Factor Analysis, Teaching Methods, Introductory Courses
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Yusuf, Abdullahi; Noor, Norah Md – Journal of Computer Assisted Learning, 2023
Background: Several attitude scales have been developed to measure students' attitudes toward computer programming, including the prominent one developed by Cetin and Ozden. The development of these scales stemmed from the elusive nature of attitude and the lack of specific constructs to measure attitude. These instruments measure students'…
Descriptors: Programming, Computer Science Education, Attitude Measures, Student Attitudes
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Torres Jiménez, Stephanie; Ramírez-Echeverry, Jhon Jairo; Restrepo-Calle, Felipe – Journal of Educational Computing Research, 2024
This article presents the design, construct validation, and reliability of a self-report instrument in Spanish that aims to characterize different types of strategies that students can use to learn computer programming. We provide a comprehensive overview of the identification of learning strategies in the existing literature, the design and…
Descriptors: Test Construction, Construct Validity, Test Reliability, Questionnaires
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Kunkle, Wanda M.; Allen, Robert B. – ACM Transactions on Computing Education, 2016
Learning to program, especially in the object-oriented paradigm, is a difficult undertaking for many students. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting with different introductory…
Descriptors: Teaching Methods, Programming, Programming Languages, Computer Science Education
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Lacave, Carmen; Molina, Ana I.; Redondo, Miguel A. – IEEE Transactions on Education, 2018
Contribution: Findings are provided from an initial survey to evaluate the magnitude of the recursion problem from the student point of view. Background: A major difficulty that programming students must overcome--the learning of recursion--has been addressed by many authors, using various approaches, but none have considered how students perceive…
Descriptors: Student Attitudes, Attitude Measures, Difficulty Level, Programming
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Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
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Chen, Kuanchin; Rea, Alan – Journal of Information Systems Education, 2018
Agile methods and approaches such as eXtreme programming (XP) have become the norm for successful organizations not only in the software industry but also for businesses seeking to improve internal software processes. Pair programming in some form is touted as a major functionality and productivity improvement. However, numerous studies show that…
Descriptors: Computer Software, Programming, Coding, Information Systems
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Doukakis, Spyros; Giannakos, Michail N.; Koilias, Christos; Vlamos, Panayiotis – Informatics in Education, 2013
This paper presents results of a questionnaire focused on investigating students' confidence and behavioral intention in the area of programming, particularly that of structures, problem solving, and programming commands (Conditional--Loop). Responses from 116 1st year students regarding informatics were used. The results indicate that the…
Descriptors: Foreign Countries, Programming, Computer Science Education, Problem Solving
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Bringula, Rex P.; Manabat, Geecee Maybelline A.; Tolentino, Miguel Angelo A.; Torres, Edmon L. – World Journal of Education, 2012
This descriptive study determined which of the sources of errors would predict the errors committed by novice Java programmers. Descriptive statistics revealed that the respondents perceived that they committed the identified eighteen errors infrequently. Thought error was perceived to be the main source of error during the laboratory programming…
Descriptors: Error Patterns, Programming, Programming Languages, Predictor Variables
Korkmaz, Özgen; Altun, Halis – Online Submission, 2014
The attitude of students towards computer programming learning is a subject which is not widely researched in the current literature. In fact, there is little generally accepted scale, which is tested and accepted in terms of reliability and validity in literature in order to measure the attitude of students towards computer programming learning.…
Descriptors: Computer Science Education, Programming, Test Validity, Test Reliability