Piecewise latent growth modeling (PLGM) is a class of longitudinal models using a structural equation modeling framework to describe stage-like, discontinuous change of individuals over time. PLGM breaks the overall time window into non-overlapped segments where separate functions can be fitted to represent differential growth patterns for each…

The article describes a study carried out on pupils aged 12-13 with no prior programming experience. The study examined how they learn to use loops with a fixed number of repetitions. Pupils were given a set of programming tasks to solve, without any preparatory or accompanying instruction or explanation, in a block-based visual programming…

Researchers have studied children's exposure to television and the impact it has on children's academic development, and have discovered that educational television programs may positively influence children's vocabulary growth (Fuenzalida, 2017; Heintz & Wartella, 2012; Larson & Rhan, 2015; Linebarger, Moses, Liebeskind, & McMenamin,…

Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…

Serious games or educational games have attracted the interest of instructors and researchers for several years. In the field of education, serious games are being used for motivating students, attracting their interest in cognitively demanding fields and making the teaching and learning process more fun. Moreover, learning through implementing…

Computer Programming is believed to have effect on creativity, reasoning, analytic and mathematical skills. This cognitive development is at a cost from both ends of students and teachers of computer programming. Its abstractive nature makes it difficult to teach and learn hence, the enormous hours spent in teaching, learning and developing…

This research was aimed at summarizing experimental evidence regarding computational thinking and programming conducted in early childhood education in terms of the variables of plugged-in versus unplugged, age, and gender. For this purpose, the WoS, Scopus, and ERIC databases were scanned, and studies determined to be within the scope of the…

The aim of this study is to examine middle school students' perceptions of information technology self-efficacy and their attitudes towards coding according to various variables and to determine the difference between secondary school students' perceptions of information technology self-efficacy and their attitudes towards coding. The study was…

For the last decades, programming courses are being taught in nearly every educational sector. Students are now more likely to use an e-learning platform compared to traditional system because of lower internet costs, remote access, and faster communication facilities. For a programming course studied in both manual and e-learning platforms,…

Background and Context: We replicated and expanded on previous work about how well students learn dynamic programming, a difficult topic for students in algorithms class. Their study interviewed a number of students at one university in a single term. We recruited a larger sample size of students, over several terms, in both large public and…

The purpose of this convergent mixed-methods study was to evaluate the effect of educational robotics on pre-service teachers' programming comprehension and motivation. Computer science is increasingly being integrated into K-8 curricula. However, a shortage of teachers trained to teach basic computer science concepts remains unresolved. This…

In this study, the effects of Arduino IDE and C++ programming languages were investigated on the computational thinking skills of preservice teachers. The Computational Thinking Skills Scale was administered to preservice teachers. Firstly, a basic programming training was given and then it was asked to create group projects on a voluntary basis.…

Controlling complexity through the use of abstractions is a critical part of problem solving in programming. Thus, becoming proficient with procedural and data abstraction through the use of user-defined functions is important. Properly using functions for abstraction involves a number of other core concepts, such as parameter passing, scope and…

Biology is a data-driven discipline facilitated greatly by computer programming skills. This article describes an introductory experiential programming activity that can be integrated into distance learning environments. Students are asked to develop their own Python programs to identify the nature of alleles linked to disease. This activity…

This systematic literature review examines the use of computer games as instructional aids in the teaching and learning of programming. With the ubiquitous nature of technology permeating various aspects of modern life, the integration of gaming devices into educational settings has garnered increased attention. This paper investigates whether…