A Systematic Literature Review on Performance Prediction in Learning Programming Using Educational Data Mining

WC Choi, CT Lam, AJ Mendes - 2023 IEEE Frontiers in …, 2023 - ieeexplore.ieee.org
Programming education has become an essential skill for the digital generation. However, it
presents a unique set of challenges that can be difficult for beginners. Educational data …

On Things that Matter in Learning Programming: Towards a Scale for New Programming Students

H Pesonen, A Hellas - 2022 IEEE Frontiers in Education …, 2022 - ieeexplore.ieee.org
Full research paper—In this paper, we report on the development of a succinct and easy-to-
administer 11-item scale that quantifies students' self-efficacy, social aspect, independence …

Supporting quality teaching using educational data mining based on OpenEdX platform

W Han, D Jun, G Xiaopeng… - 2017 IEEE Frontiers in …, 2017 - ieeexplore.ieee.org
Our lab-based small private online course (SPOC) combined online resources and
technology with engagement between faculty and students based on OpenEdX platform. It …

A systematic literature review on predictive cognitive skills in novice programming

JS Santos, WL Andrade, J Brunet… - 2022 IEEE Frontiers in …, 2022 - ieeexplore.ieee.org
This Research Full Paper presents a Systematic Literature Review (SLR) investigating
predictive programming skills and strategies to foster and measure such skills. Predictive …

A study of prediction models for students enrolled in programming subjects

M Zaffar, MA Hashmani… - 2018 4th International …, 2018 - ieeexplore.ieee.org
Educational Data Mining (EDM) is very appealing research area which can mine valuable
information from educational databases. The mined information from educational data can …

Classification and prediction based data mining algorithms to predict students' introductory programming performance

M Sivasakthi - … on inventive computing and informatics (ICICI), 2017 - ieeexplore.ieee.org
Data mining has been successfully implemented in the business world but, its use in higher
education is still comparatively new. Predicting students' performance becomes more …

A framework to analyze performance of student's in programming language using educational data mining

V Hegde, SR HS - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
In the current era, the knowledge of programming language provides a greater fortune in the
career of students'. This paper is on students' centric approach for analyzing their …

Types of assessing student-programming knowledge

A Gomes, FB Correia, PH Abreu - 2016 IEEE Frontiers in …, 2016 - ieeexplore.ieee.org
High failure and dropout rates are common in higher education institutions with introductory
programming courses. Some researchers advocate that sometimes teachers don't use …

Predicting students' performance in an introductory programming course using data from students' own programming process

A Vihavainen - 2013 IEEE 13th international conference on …, 2013 - ieeexplore.ieee.org
As the amount of data, facilities, and tools for understanding students' programming process
are improving, the time is ripe for analyzing students' actual programming process. In our …

Studies and proposals about initial programming learning

A Gomes, AJ Mendes - 2010 IEEE Frontiers in Education …, 2010 - ieeexplore.ieee.org
The difficulties many novices feel to learn programming are well known. They don't seem
directly related to the programming paradigm or language used. We present some studies …