Pros and Cons of Using Data Analytics for Predicting Academic Performance in Computer Science Courses

Pros And Cons ◽

Using Data

Predicting Student Academic Performance in Computer Science Courses: A Comparison of Neural Network Models

International Journal of Modern Education and Computer Science ◽

10.5815/ijmecs.2018.06.01 ◽

2018 ◽

Vol 10 (6) ◽

pp. 1-9 ◽

Cited By ~ 7

Author(s):

Abimbola R. Iyanda ◽

◽

Olufemi D. Ninan ◽

Anuoluwapo O. Ajayi ◽

Ogochukwu G. Anyabolu

Keyword(s):

Neural Network ◽

Academic Performance ◽

Computer Science ◽

Network Models ◽

Neural Network Models ◽

Science Courses ◽

Student Academic Performance

PERSONALITY TRAITS AND ACADEMIC PERFORMANCE IN COMPUTER SCIENCE COURSES

INTED2017 Proceedings ◽

10.21125/inted.2017.0974 ◽

2017 ◽

Author(s):

Sadeeqa Khan ◽

Syed Sarwar

Keyword(s):

Academic Performance ◽

Personality Traits ◽

Computer Science ◽

Science Courses ◽

2020 7th International Conference on Advance Informatics: Concepts, Theory and Applications (ICAICTA) ◽

A new system for analyzing contents of Computer Science courses

10.1109/icaicta49861.2020.9429072 ◽

2020 ◽

Author(s):

Peerapon Kamlangpuech ◽

Komate Amphawan

Keyword(s):

Computer Science ◽

Science Courses ◽

New System

Evaluating the Impact of Adaptive Parsons Problems on Students in Introductory Computer Science Courses

Proceedings of the 51st ACM Technical Symposium on Computer Science Education ◽

10.1145/3328778.3372640 ◽

2020 ◽

Author(s):

Mansi Shah ◽

Daniel D. Garcia

Keyword(s):

Computer Science ◽

Science Courses ◽

Introductory Computer Science ◽

The Impact

Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education - SIGCSE '01 ◽

Electronic peer review and peer grading in computer-science courses

10.1145/364447.364564 ◽

2001 ◽

Cited By ~ 36

Author(s):

Edward F. Gehringer

Keyword(s):

Computer Science ◽

Peer Review ◽

Science Courses ◽

Peer Grading

30th Annual Frontiers in Education Conference. Building on A Century of Progress in Engineering Education. Conference Proceedings (IEEE Cat. No.00CH37135) ◽

It is time to stand up and communicate [computer science courses]

10.1109/fie.2000.897702 ◽

2002 ◽

Cited By ~ 3

Author(s):

J.A. Polack-Wahl

Keyword(s):

Computer Science ◽

Science Courses ◽

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Emerging Technologies in Computing ◽

A Survey on the Use of e-Portfolios as a Form of Assessment in Online Computer Science Courses

10.1007/978-3-030-60036-5_19 ◽

2020 ◽

pp. 263-277

Author(s):

Nkaepe Olaniyi

Keyword(s):

Computer Science ◽

Science Courses ◽

Design of Methods of Teaching Computer Science Courses

Guide to Teaching Computer Science ◽

10.1007/978-3-030-39360-1_15 ◽

2020 ◽

pp. 321-348

Author(s):

Orit Hazzan ◽

Noa Ragonis ◽

Tami Lapidot

Keyword(s):

Computer Science ◽

Science Courses ◽

Proceedings of the 18th Koli Calling International Conference on Computing Education Research - Koli Calling '18 ◽

On Supplementing Theoretical Computer Science Courses using E-Learning

10.1145/3279720.3279734 ◽

2018 ◽

Author(s):

Arno Wilhelm-Weidner ◽

Nadine Bergner

Keyword(s):

Computer Science ◽

Theoretical Computer Science ◽

Theoretical Computer ◽

Science Courses ◽

E Learning

Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering ◽

An Action Research Study towards the Use of Cloud Computing Scenarios in Undergraduate Computer Science Courses

10.5220/0006644800150025 ◽

2018 ◽

Cited By ~ 1

Author(s):

Heleno Cardoso da Silva Filho ◽

Glauco de Figueiredo Carneiro

Keyword(s):

Cloud Computing ◽

Action Research ◽

Computer Science ◽

Research Study ◽

Science Courses ◽

Action Research Study