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Hsu, Yu-Chang; Baldwin, Sally; Ching, Yu-Hui – TechTrends: Linking Research and Practice to Improve Learning, 2017
In this paper, we provide an overview of the current efforts in maker education, supported by a review of empirical studies. Our synthesis will inform the community about learning outcomes, potential and common issues, challenges, resources, and future research direction regarding maker education.
Descriptors: Programming, Coding, Teaching Methods, Literature Reviews
Mao, Ye; Shi, Yang; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2021
As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…
Descriptors: Programming, Computer Science Education, Learning Processes, Learning Analytics
Neumann, Maureen D.; Dion, Lisa – MIT Press, 2021
Computational thinking--a set of mental and cognitive tools applied to problem solving--is a fundamental skill that all of us (and not just computer scientists) draw on. Educators have found that computational thinking enhances learning across a range of subjects and reinforces students' abilities in reading, writing, and arithmetic. This book…
Descriptors: Thinking Skills, Computation, Problem Solving, Teaching Methods
Lottero-Perdue, Pamela S.; Mikeska, Jamie N.; Nester, M. Shae – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
In this report of an action research study, the authors describe how one elementary science teacher educator used transcript coding of simulated classroom discussions as a pedagogical approach to learn about her elementary preservice teachers' (PSTs') abilities to notice key aspects of scientific argumentation discussions. Elementary PSTs (n = 19)…
Descriptors: Preservice Teachers, Preservice Teacher Education, Science Instruction, Persuasive Discourse
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Battaglia, Onoforio Rosario; Di Paola, Benedetto; Fazio, Claudio – Physical Review Physics Education Research, 2019
A relevant aim of research in education is to find and study the reasoning lines that students deploy when dealing with problematic situations. This can be done through an analysis of the answers students give to a questionnaire. In this paper, we discuss some methodological aspects involved in the quantitative analysis of a questionnaire by means…
Descriptors: Correlation, Coding, Statistical Analysis, Questionnaires
Araujo, Rosa Cendros; Floyd, Lisa; Gadanidis, George – Journal of Computers in Mathematics and Science Teaching, 2019
With the increasing advocacy for Computational Thinking (CT) integration in K-12 education, it is important to consider how teacher education programs could better prepare teacher candidates (TCs). At the Faculty of Education at Western University, CT has been included in the curriculum as part of the teacher education program through the course…
Descriptors: Preservice Teachers, Student Attitudes, Computation, Thinking Skills
Cutumisu, Maria; Guo, Qi – IEEE Transactions on Education, 2019
Contribution: This paper employs the automatic scoring of short essays as a novel way to determine pre-service teachers' knowledge of and attitudes toward computational thinking (CT) from their written reflections. Implications about designing CT courses for pre-service teachers are discussed. Background: CT is an essential 21st-century competency…
Descriptors: Preservice Teachers, Computation, Reflection, Coding
Blackley, Susan; Howell, Jennifer – Australian Journal of Teacher Education, 2019
In this paper, we use our qualitative research notes and observations to portray a model for integrated STEM education and summarise primary school students' typical and recurring ways in which they engaged with each new robot. The purpose of this paper is two-fold: first, to unpack key elements of the Australian Curriculum: Technologies in order…
Descriptors: STEM Education, Robotics, Teaching Methods, Programming
Park, Jungho – International Journal of Higher Education, 2019
In the field of K-12 education, the demand for effective coding education is gradually expanding with various coding tools such as Scratch being popularly used as an effective learning environment. However, an answer to the question of what constitutes appropriate computing concepts for children (e.g. elementary school students) has not been fully…
Descriptors: Fairy Tales, Elementary School Students, Coding, Computer Science Education
Keuning, Hieke; Jeuring, Johan; Heeren, Bastiaan – ACM Transactions on Computing Education, 2019
Formative feedback, aimed at helping students to improve their work, is an important factor in learning. Many tools that offer programming exercises provide automated feedback on student solutions. We have performed a systematic literature review to find out what kind of feedback is provided, which techniques are used to generate the feedback, how…
Descriptors: Programming, Teaching Methods, Computer Science Education, Feedback (Response)
Lane, Mathew; Hui, Wendy; Murcia, Karen; Wongthongtham, Pornpit – International Association for Development of the Information Society, 2019
This article is an exploratory analysis and comparison of the demographic distributions of data collected from the 2016 New Coder Survey, with that obtained from the Integrated Postsecondary Education Data System (IPEDS). In comparing the data sets, the findings suggest that overall females were more likely to engage in online self-paced coding…
Descriptors: Electronic Learning, Coding, Computer Science Education, Postsecondary Education
Liao, Shu-Min – Journal of Statistics and Data Science Education, 2023
SCRATCH, developed by the Media Lab at MIT, is a kid-friendly visual programming language, designed to introduce programming to children and teens in a "more thinkable, more meaningful, and more social" way. Although it was initially intended for K-12 students, educators have used it for higher education as well, and found it…
Descriptors: Teaching Methods, Coding, Programming Languages, Computer Science Education
Zhanxia Yang; Patricia Moore Shaffer; Courtney Hagan; Parastu Dubash; Marina Bers – Grantee Submission, 2023
The aim of this study was to explore how the Coding as Another Language using ScratchJr (CAL-ScratchJr) curriculum, developed by Boston College's DevTech Research Group utilizing the ScratchJr app, impacted second grade students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly…
Descriptors: Coding, Programming Languages, Computer Science Education, School Districts
Lyon, Louise Ann; Green, Emily – Computer Science Education, 2020
Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the…
Descriptors: Coding, Females, Nontraditional Education, Computer Science Education