Cognitive Processes and Success of Students in Instructional Computer Courses

Stevens, Dorothy Jo

doi:10.1080/00011037.1983.11008348

Cited by 32 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It reputedly has special signi®cance for science and engineering students who are reported to be more ®eld independent (Chamillard & Karolick, 1999;Guster & Batt, 1989;Stevens, 1983;Werth, 1986): an important skill for the computing students partaking in this study. Field independence has also been claimed to have special relevance for distance education (Moore, 1976;Thompson, 1984).…”

Section: Rationalementioning

confidence: 95%

Individual Differences in Learning: Cognitive control, cognitive style, and learning style

Price

2004

Educational Psychology

101

View full text Add to dashboard Cite

Section: Rationalementioning

confidence: 95%

Individual Differences in Learning: Cognitive control, cognitive style, and learning style

Price

2004

Educational Psychology

101

View full text Add to dashboard Cite

“…Other researchers were also concerned about predicting a student's ability to successfully complete a program or course in computing (Stephens, 1983;Fowler and Glorfeld, 1981;Mazlack, 1980). However, to our knowledge, no one has examined the issue of why students terminate or drop out of a course in computing.…”

Section: Review Of the Literaturementioning

confidence: 97%

Classroom Attrition in Computer Science

Norris

Poirot

Knezek

1990

Computer Science Education

View full text Add to dashboard Cite

“…A study investigated the relationship between learning orientation (independent/dependent) and the academic achievement of students enrolled in computer courses [32]. The academic achievement was measured by summing up the scores of general computer use, basic programming, and computer knowledge.…”

Section: Learning Orientation and Programmingmentioning

confidence: 99%

Impacts of Learning Orientation on the Modeling of Programming Using Feature Selection and XGBOOST: A Gender-Focused Analysis

Woo

Kim

2022

Applied Sciences

View full text Add to dashboard Cite

In programming, modeling is a generalized explanatory system that organizes key characteristics of a specific matter or object of interest using computer science concepts. Modeling is integral for both automation design in programming education and communication in the collaborative process. This study investigates the effect of learning orientation on the modeling stage based on gender. The study includes 756 male and 688 female elementary-school students. We analyzed the results of XGBOOST by extracting the influential characteristics from feature selection along with the basic statistics. As a result of the study, it was confirmed that learners, regardless of gender, had the largest gap in modeling and that this was the stage at which differences occurred in programming education. For male students, the process of collecting data for modeling or devising a solution was found to be an important learning method. This shows that it is necessary to create an environment to focus on activities that derive solutions from the collected data along with strengthening information retrieval education. Although female students showed a similar tendency to male students, the process of cooperating with friends as a differentiating factor was found to be an important learning method. It seems necessary to apply teaching and learning methods that can strengthen team projects that can collaborate with friends. The findings could serve as a reference for teaching and learning design and operation for effective programming education.

show abstract

Cognitive Processes and Success of Students in Instructional Computer Courses

Cited by 32 publications

References 7 publications

Individual Differences in Learning: Cognitive control, cognitive style, and learning style

Individual Differences in Learning: Cognitive control, cognitive style, and learning style

Classroom Attrition in Computer Science

Impacts of Learning Orientation on the Modeling of Programming Using Feature Selection and XGBOOST: A Gender-Focused Analysis

Contact Info

Product

Resources

About