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Dawar, Deepak – Journal of Information Systems Education, 2023
For most beginners, learning computer programming is a complex undertaking. Demotivation and learned helplessness have been widely reported. In addition to the subject's complexity, low in-class involvement has been linked to poor student performance. This work introduces a novel instructional technique called Student-Driven Probe Instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, Teaching Methods
Tan, Wee Lum; Venema, Sven; Gonzalez, Ruben – International Association for Development of the Information Society, 2017
Transitioning to university is recognised as a challenging endeavour for commencing students. For commencing Computer Science students specifically, evidence suggests a link between poor performance in introductory technical courses, such as programming, and high attrition rates. Building resilience in students, particularly at the start of their…
Descriptors: College Freshmen, Computer Science Education, Programming, Introductory Courses
Baugh, Jeanne M. – Information Systems Education Journal, 2015
All Computer Information Systems programs require a database course for their majors. This paper describes an approach to such a course in which real world examples, both design projects and actual database application projects are incorporated throughout the semester. Students are expected to apply the traditional database concepts to actual…
Descriptors: Undergraduate Students, Computer Science Education, Information Systems, Databases
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
Kortsarts, Yana; Morris, Robert W.; Utell, Janine M. – Information Systems Education Journal, 2010
Bioinformatics is a relatively new interdisciplinary field that integrates computer science, mathematics, biology, and information technology to manage, analyze, and understand biological, biochemical and biophysical information. We present our experience in teaching an interdisciplinary course, Introduction to Bioinformatics, which was developed…
Descriptors: Interdisciplinary Approach, Introductory Courses, Biology, Information Science
Rague, Brian William – ProQuest LLC, 2010
Almost all collegiate programs in Computer Science offer an introductory course in programming primarily devoted to communicating the foundational principles of software design and development. The ACM designates this introduction to computer programming course for first-year students as CS1, during which methodologies for solving problems within…
Descriptors: Control Groups, Introductory Courses, Sequential Approach, Programming Languages
Urbaczewski, Andrew; Urbaczewski, Lise – 1997
The objective of this study was to find the answers to two primary research questions: "Do students learn programming languages better when they are offered in a particular order, such as 4th generation languages before 3rd generation languages?"; and "Do students learn programming languages better when they are taken in separate semesters as…
Descriptors: Academic Achievement, Higher Education, Information Science Education, Instructional Effectiveness