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Sanal Kumar T. S.; R. Thandeeswaran – Education and Information Technologies, 2024
The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These platforms never considered the essential attributes of student characteristics and learning preferences while designing such a problematic subject having high dropout and failure rates. The traditional…
Descriptors: Blended Learning, Electronic Learning, Higher Education, Programming
Regina Célia Coelho; Matheus F. P. Marques; Tiago de Oliveira – Informatics in Education, 2023
Learning programming logic remains an obstacle for students from different academic fields. Considered one of the essential disciplines in the field of Science and Technology, it is vital to investigate the new tools or techniques used in the teaching and learning of Programming Language. This work presents a systematic literature review (SLR) on…
Descriptors: Electronic Learning, Programming, Computer Science Education, Logical Thinking
Ling Zhang – Pedagogical Research, 2024
In the face of the challenges posed by the COVID-19 pandemic, the hybrid teaching model has garnered significant attention for its combination of the depth of traditional education with the convenience of distance learning. Focusing on the domain of computer programming language instruction, this study innovatively designs a hybrid teaching…
Descriptors: COVID-19, Pandemics, Blended Learning, Programming Languages
Daradoumis, Thanasis; Marquès Puig, Joan Manuel; Arguedas, Marta; Calvet Liñan, Laura – Journal of Computing in Higher Education, 2022
Several studies have explored the factors that influence self-efficacy as well as its contribution to academic development in online learning environments in recent years. However, little research has investigated the effect of a web-based learning environment on enhancing students' beliefs about self-efficacy for learning. This is especially…
Descriptors: Students, Programming, Programming Languages, Computer Science Education
Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence
Nie, Rui; Guo, Qi; Morin, Maxim – Educational Measurement: Issues and Practice, 2023
The COVID-19 pandemic has accelerated the digitalization of assessment, creating new challenges for measurement professionals, including big data management, test security, and analyzing new validity evidence. In response to these challenges, "Machine Learning" (ML) emerges as an increasingly important skill in the toolbox of measurement…
Descriptors: Artificial Intelligence, Electronic Learning, Literacy, Educational Assessment
Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel for "Introduction to Java Programming" aims to give students an…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
Fay, Derek; Armstrong, Mark; McEldoon, Katherine; Ridley, Julia – Pearson, 2020
Programming and coding skills are in high demand, and can provide access to employment in growing fields. But a high percentage of undergraduates who enroll in relevant programs do not persist until they achieve competency in the subject and employment in the field. Revel is an interactive learning environment intended to help students prepare for…
Descriptors: Introductory Courses, Programming, Computer Science Education, Electronic Learning
Xing, Wanli – Interactive Learning Environments, 2021
Previous research has invested much effort in understanding how programming can contribute to the development of young learners' computational thinking (CT) in traditional K-12 classroom settings. Relatively few studies have examined programming for CT in informal online communities, especially for large scale quantitative research. With the…
Descriptors: Programming, Thinking Skills, Computation, Programming Languages
Rani Van Schoors; Sohum M. Bhatt; Jan Elen; Annelies Raes; Wim Van den Noortgate; Fien Depaepe – International Journal of Designs for Learning, 2024
Due to swift technological changes in society, programming tasks are proliferating in formal and informal education around the globe. However, challenges arise regarding the acquisition of programming skills. Many students are unequipped to develop programming skills due to limited instruction or background and therefore feel insecure when…
Descriptors: Secondary School Students, Grade 1, Individualized Instruction, Electronic Learning
Minnegalieva, Chulpan Bakievna; Khabibullin, Timur Vakhtangovich; Giniyatullina, Gulchachak Rishatovna; Giniyatullin, Lenar Ildarovich – International Journal of Higher Education, 2020
Online courses on different platforms provide thousands of students with the knowledge and skills they need. This paper presents the results of a survey of students, during which they expressed their opinion on the use of electronic resources in teaching. The survey showed that students are more motivated to study when they understand how their…
Descriptors: Difficulty Level, Electronic Learning, Online Courses, Student Attitudes
Zhi Liu; Huimin Duan; Shiqi Liu; Rui Mu; Sannyuya Liu; Zongkai Yang – Educational Technology & Society, 2024
Conversational agents (CAs) primarily adopt knowledge scaffolding (KS) or emotional scaffolding (ES) to intervene in learners' knowledge gain and emotional experience in online learning. However, the ill-defined design for KS and ES, as well as insufficient understanding of their interactive effects on learning outcomes, have hindered the…
Descriptors: Electronic Learning, Achievement Gains, Knowledge Level, Emotional Experience
Zitouniatis, Athanasios; Lazarinis, Fotis; Kanellopoulos, Dimitris – Education and Information Technologies, 2023
This paper proposes a scenario-based learning (SBL) methodology for teaching Computational Thinking (CT). The presented scenario includes educational material that teaches the basic concepts of a Python course for beginners. The scenario allows the educator to utilize a combination of tools and services and follow a mind map. Moreover, it presents…
Descriptors: Students, Computation, Thinking Skills, Programming Languages
Attard, Lara; Busuttil, Leonard – Informatics in Education, 2020
Programming is one of the most important aspects of a Computing course. Teaching programming is a challenging task due to a number of factors, ranging from lack of student problem solving skills to different teaching methods. This paper focuses on Maltese Computing teachers' perspectives about the difficulties encountered when teaching programming…
Descriptors: Teacher Attitudes, Programming, Electronic Learning, Video Games
Eloy, Adelmo; Achutti, Camila F.; Fernandez, Cassia; Lopes, Roseli de Deus – Informatics in Education, 2022
Integrating computational thinking into K-12 Education has been a widely explored topic in recent years. Particularly, effective assessment of computational thinking can support the understanding of how learners develop computational concepts and practices. Aiming to help advance research on this topic, we propose a data-driven approach to assess…
Descriptors: Computation, Thinking Skills, Learning Processes, Evaluation Methods