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Santiago Ojeda-Ramirez; Daniel Ritchie; Mark Warschauer – CATESOL Journal, 2024
Artificial Intelligence technologies are becoming ubiquitous, transforming the workforce by altering or creating jobs and influencing decisions that affect minority communities. The necessity of AI literacy, comprising knowledge and skills for critical interaction with AI, is increasingly important. Multilingual learners, engaging with both every…
Descriptors: Middle School Students, Summer Programs, Camps, Artificial Intelligence
Minji Jeon; Kyungbin Kwon – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study investigated the computational thinking (CT) practices of eight pre-service teachers through their Scratch and Python programs. Conducted within an undergraduate-level computer science education course, students learned CT concepts via parallel instruction in block-based programming (Scratch) and text-based programming (Python). The…
Descriptors: Preservice Teacher Education, Preservice Teachers, Computation, Cognitive Processes
Fehaid Lafi Alshammari – Journal of Education and e-Learning Research, 2024
Microlearning is a modern learning modality that has been adopted in recent years for student education. This study aimed to reveal the effect of video-based microlearning on the development of programming skills and technology acceptance among intermediate school students. The study used a quasi-experimental design for two groups. A technology…
Descriptors: Foreign Countries, Middle School Students, Programming, Computer Science Education
Hao-Yue Jin; Maria Cutumisu – Education and Information Technologies, 2024
Computational thinking (CT) is considered to be a critical problem-solving toolkit in the development of every student in the digital twenty-first century. Thus, it is believed that the integration of deeper learning in CT education is an approach to help students transfer their CT skills beyond the classroom. Few literature reviews have mapped…
Descriptors: Computation, Thinking Skills, Problem Solving, Artificial Intelligence
Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Jan Olsson; Carina Granberg – Mathematical Thinking and Learning: An International Journal, 2024
Studies have shown that learning mathematics through programming can be complex and that the programming itself might even hamper students' learning. However, few studies have focused on the role of the teacher and the teacher-student interaction that aims to support students' learning when using programming. The present study examines a didactic…
Descriptors: Teacher Student Relationship, Communication (Thought Transfer), Creativity, Thinking Skills
Dorottya Demszky; Jing Liu; Heather C. Hill; Dan Jurafsky; Chris Piech – Educational Evaluation and Policy Analysis, 2024
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…
Descriptors: Online Courses, Automation, Feedback (Response), Large Group Instruction
Turan, Sedat; Aydogdu, Fatih – Education and Information Technologies, 2020
This study was carried out with the aim of determining the effect of robotic coding education on pre-school children's skills of scientific process. Study group consisted of 30 children aged five who studied in an independent kindergarten connected to Ministry of National Education in Refahiye district of Erzincan province in the first semester of…
Descriptors: Programming, Robotics, Preschool Children, Science Process Skills
Muuli, Eerik; Tõnisson, Eno; Lepp, Marina; Luik, Piret; Palts, Tauno; Suviste, Reelika; Papli, Kaspar; Säde, Merilin – Education and Information Technologies, 2020
There are thousands of participants in different programming MOOCs (Massive Open Online Courses) which means thousands of solutions have to be assessed. As it is very time-consuming to assess that amount of solutions manually, using automated assessment is essential. Since task requirements must be strict for the solutions to be automatically…
Descriptors: Online Courses, Programming, Computer Assisted Testing, Visual Stimuli
Özaydin Aydogdu, Yildiz; Yalçin, Nursel – Malaysian Online Journal of Educational Technology, 2020
Adaptive educational hypermedia is an environment that offers an individualized learning environment according to the characteristics, knowledge and purpose of the students. In general, adaptive educational hypermedia, a user model is created based on user characteristics and adaptations are made in terms of text, content or presentation according…
Descriptors: Educational Technology, Hypermedia, Computer System Design, Usability
Lee, Joohi – Contemporary Issues in Early Childhood, 2020
This article presents steps that can be used to expose children to concrete experiences of practicing coding using unplugged activities, including using directional words or directional arrows, using sequential words, combining both directional and sequential words, and connecting with grids.
Descriptors: Programming, Early Childhood Education, Learning Experience, Manipulative Materials
Sinclair, Nathalie; Patterson, Margaret – Mathematical Thinking and Learning: An International Journal, 2018
The goal of this paper is to explore dynamic geometry environments (DGE) as a type of computer programming language. Using projects created by secondary students in one particular DGE, we analyse the extent to which the various aspects of computational thinking--including both ways of doing things and particular concepts--were evident in their…
Descriptors: Mathematics Instruction, Programming, Computation, Thinking Skills
Zhu, Hongwei; Shen, Yuzhong – IEEE Transactions on Education, 2021
Contribution: An approach of integrating financial literacy into an introductory programming course is introduced. New learning materials are developed and the impact of the approach on motivating students and improving learning outcomes are evaluated using mixed methods. Background: More than two-thirds of college students in the U.S. graduate…
Descriptors: Money Management, Computer Science Education, Programming, Introductory Courses
Saqr, Mohammed; Ng, Kwok; Oyelere, Solomon Sunday; Tedre, Matti – ACM Transactions on Computing Education, 2021
The momentum around computational thinking (CT) has kindled a rising wave of research initiatives and scholarly contributions seeking to capitalize on the opportunities that CT could bring. A number of literature reviews have showed a vibrant community of practitioners and a growing number of publications. However, the history and evolution of the…
Descriptors: Computation, Thinking Skills, Bibliometrics, Educational Research
Saito, Daisuke; Yajima, Risei; Washizaki, Hironori; Fukazawa, Yoshiaki – Education Sciences, 2021
In evaluating the learning achievement of programming-thinking skills, the method of using a rubric that describes evaluation items and evaluation stages is widely employed. However, few studies have evaluated the reliability, validity, and consistency of the rubrics themselves. In this study, we introduced a statistical method for evaluating the…
Descriptors: Scoring Rubrics, Computer Science Education, Programming, Reliability

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