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Siti Khadijah Mohamad; Zaidatun Tasir; Ibnatul Jalilah Yusof – Journal of Information Technology Education: Research, 2023
Aim/Purpose: Despite the growing interest in reflection, there is an issue regarding how to fortify the linkages between a learning experience and the reflection activity that follows it, as experience on its own is not the key to learning. In addition, studies have also shown that students are not able to transfer the newly acquired knowledge…
Descriptors: Electronic Publishing, Web Sites, Reflective Teaching, Graduate Students
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Huang, Joey; Parker, Miranda C. – Computer Science Education, 2023
Background and Context: Computational thinking (CT) is a critical part of computing education in middle school. The existing practices of collaboration and collaborative design activities at this education level pairs well with CT practices, but this interaction has previously been under-explored in the existing literature. Objective: In this…
Descriptors: Computation, Thinking Skills, Cooperative Learning, Skill Development
Julie Marie Smith – ProQuest LLC, 2023
The purpose of this study is to analyze which behaviors are or are not helpful for debugging when a novice is in a state of unproductive persistence. Further, this project will exploratorily use a variety of analytical techniques -- including association rule mining, process mining, frequent sequence mining, and machine learning-- in order to…
Descriptors: Employees, Programming, Novices, Persistence
Shan Jiang – ProQuest LLC, 2023
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…
Descriptors: Programming Languages, Structural Equation Models, Social Sciences, Research Methodology
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Jirí Vanícek; Václav Dobiáš; Václav Šimandl – Informatics in Education, 2023
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…
Descriptors: Secondary School Students, Misconceptions, Programming, Concept Formation
DiMarco, Kimberly – ProQuest LLC, 2023
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,…
Descriptors: Vocabulary, Educational Television, Childrens Television, Word Frequency
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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
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…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
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Koupritzioti, Dimitra; Xinogalos, Stelios – Education and Information Technologies, 2020
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…
Descriptors: Educational Games, Mathematics Activities, Mathematics Education, Programming
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Olumide, Obe O.; Iyamu, Tiko – International Association for Development of the Information Society, 2020
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…
Descriptors: Programming, Cognitive Development, Computer Science Education, Computer Interfaces
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Bati, Kaan – Education and Information Technologies, 2022
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…
Descriptors: Computation, Thinking Skills, Programming, Early Childhood Education
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Tasdöndüren, Tuba; Korucu, Agah Tugrul – Journal of Learning and Teaching in Digital Age, 2022
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…
Descriptors: Student Attitudes, Computer Attitudes, Self Efficacy, Programming
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Rahaman, Md. Afzalur; Hoque, Abu Sayed Md. Latiful – International Journal of Learning Technology, 2022
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,…
Descriptors: Evaluation Methods, Programming, Assignments, Automation
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Shindler, Michael; Pinpin, Natalia; Markovic, Mia; Reiber, Frederick; Kim, Jee Hoon; Carlos, Giles Pierre Nunez; Dogucu, Mine; Hong, Mark; Luu, Michael; Anderson, Brian; Cote, Aaron; Ferland, Matthew; Jain, Palak; LaBonte, Tyler; Mathur, Leena; Moreno, Ryan; Sakuma, Ryan – Computer Science Education, 2022
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…
Descriptors: Misconceptions, Programming, Computer Science Education, Replication (Evaluation)
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Fegely, Alex; Tang, Hengtao – Educational Technology Research and Development, 2022
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…
Descriptors: Programming, Robotics, Preservice Teachers, Comprehension
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Pala, Ferhat Kadir; Mihci Türker, Pinar – Interactive Learning Environments, 2021
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.…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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