Constructivism in computer science education
SIGCSE '98 Proceedings of the twenty-ninth SIGCSE technical symposium on Computer science education
Factors affecting performance in first-year computing
ACM SIGCSE Bulletin
Contributing to success in an introductory computer science course: a study of twelve factors
Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education
The effect of student attributes on success in programming
Proceedings of the 6th annual conference on Innovation and technology in computer science education
Learning styles and performance in the introductory programming sequence
SIGCSE '02 Proceedings of the 33rd SIGCSE technical symposium on Computer science education
Perspectives on testing for programming aptitude
ACM '71 Proceedings of the 1971 26th annual conference
Wanted: CS1 students. no experience required
Proceedings of the 35th SIGCSE technical symposium on Computer science education
The dimensions of variation in the teaching of data structures
Proceedings of the 9th annual SIGCSE conference on Innovation and technology in computer science education
Interacting factors that predict success and failure in a CS1 course
Working group reports from ITiCSE on Innovation and technology in computer science education
Programming: factors that influence success
Proceedings of the 36th SIGCSE technical symposium on Computer science education
Novice Java programmers' conceptions of "object" and "class", and variation theory
ITiCSE '05 Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
Factors affecting the success of non-majors in learning to program
Proceedings of the first international workshop on Computing education research
Examining the role of self-regulated learning on introductory programming performance
Proceedings of the first international workshop on Computing education research
What does it take to learn 'programming thinking'?
Proceedings of the first international workshop on Computing education research
Proceedings of the first international workshop on Computing education research
An investigation of potential success factors for an introductory model-driven programming course
Proceedings of the first international workshop on Computing education research
Women catch up: gender differences in learning programming concepts
Proceedings of the 37th SIGCSE technical symposium on Computer science education
Introductory computer programming: gender, major, discrete mathematics, and calculus
Journal of Computing Sciences in Colleges
Students learn CS in different ways: insights from an empirical study
Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education
Predictors of success in a first programming course
ACE '06 Proceedings of the 8th Australasian Conference on Computing Education - Volume 52
Is abstraction the key to computing?
Communications of the ACM
Differing ways that computing academics understand teaching
ACE '07 Proceedings of the ninth Australasian conference on Computing education - Volume 66
The role of social networks in students' learning experiences
Working group reports on ITiCSE on Innovation and technology in computer science education
Evaluating a breadth-first cs 1 for scientists
Proceedings of the 39th SIGCSE technical symposium on Computer science education
Learning educational research methods through collaborative research: the PhICER initiative
ACE '08 Proceedings of the tenth conference on Australasian computing education - Volume 78
Dangers of a fixed mindset: implications of self-theories research for computer science education
Proceedings of the 13th annual conference on Innovation and technology in computer science education
Concrete examples of abstraction as manifested in students' transformative experiences
ICER '08 Proceedings of the Fourth international Workshop on Computing Education Research
Classifying computing education papers: process and results
ICER '08 Proceedings of the Fourth international Workshop on Computing Education Research
CS1 students speak: advice for students by students
Proceedings of the 40th ACM technical symposium on Computer science education
Affective and behavioral predictors of novice programmer achievement
ITiCSE '09 Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
The learning context: Influence on learning to program
Computers & Education
Exploring teachers' attitudes towards object oriented modelling and programming in secondary schools
Proceedings of the Sixth international workshop on Computing education research
Introductory programming and the didactic triangle
Proceedings of the Twelfth Australasian Conference on Computing Education - Volume 103
Study habits of CS1 students: what do they do outside the classroom?
Proceedings of the Twelfth Australasian Conference on Computing Education - Volume 103
A Motivation Guided Holistic Rehabilitation of the First Programming Course
ACM Transactions on Computing Education (TOCE)
Learning to Program with Personal Robots: Influences on Student Motivation
ACM Transactions on Computing Education (TOCE)
A student perspective on prior experience in CS1
Proceeding of the 44th ACM technical symposium on Computer science education
MOOC as semester-long entrance exam
Proceedings of the 14th annual ACM SIGITE conference on Information technology education
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In this paper we present a phenomenographic analysis of computer science instructors' perceptions of student success. The factors instructors believe influence student success fell into five categories which were related to: 1) the subject being taught, 2) intrinsic characteristics of the student, 3) student background, 4) student attitudes and behaviour and 5) instructor influence on student development. These categories provide insights not only into how instructors perceive students, but also how they perceive their own roles in the learning process. We found significant overlap between these qualitative results, obtained through analysis of semi-structured interviews, and the vast body of quantitative research on factors predicting student success. Studying faculty rather than students provides an alternative way to examine these questions, and using qualitative methods may provide a richer understanding of student success factors.