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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
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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
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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
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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)
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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
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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
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Jayathirtha, Gayithri; Fields, Deborah; Kafai, Yasmin B.; Chipps, Joseph – Information and Learning Sciences, 2020
Purpose: The purpose of this paper is to report changes when a classroom-based makerspace moved from face-to-face to an online setting. Design/methodology/approach: To better understand changes in teaching maker activities, as they move from face-to-face to online contexts, the authors analyzed video and interview data from six weeks of an…
Descriptors: Online Courses, Computer Science Education, High School Students, School Closing
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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
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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
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Clarke, Shelley; Zakszeski, Brittany N.; Kern, Lee – Journal of Positive Behavior Interventions, 2018
The field of positive behavior support (PBS) has expanded and evolved significantly since the first issue of "Journal of Positive Behavior Interventions" ("JPBI") was published. To ascertain how evolution of the field was reflected in the research, we examined trends in empirical studies published in "JPBI" since its…
Descriptors: Periodicals, Trend Analysis, Behavior Problems, Intervention
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Henderson, J. Bryan; McNeill, Katherine L.; González-Howard, María; Close, Kevin; Evans, Mat – Journal of Research in Science Teaching, 2018
At the 2015 "NARST: A Worldwide Organization for Improving Science Teaching and Learning Through Research" Annual International Conference, a group of scholars held an extended pre-conference workshop to discuss key challenges and future directions faced by argumentation researchers around the world. This wide-ranging group of…
Descriptors: Educational Research, Educational Trends, Science Education, Persuasive Discourse
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Kwon, Kyungbin; Lee, Kyungbin; Chung, Jaehwa – International Journal of Computer Science Education in Schools, 2018
Evaluating the quality of students' programs is necessary for better teaching and learning. Although many innovative learning environments for computer science have been introduced, the scarcity of program evaluation frames and tools is a demanding issue in the teaching practice. This study examined the quality of students' Scratch programs by…
Descriptors: Computer Science Education, Programming, Programming Languages, Program Evaluation
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Smith, Justin G.; Tissing, Reid – Journal of Extension, 2018
This article introduces a process for computational text classification that can be used in a variety of qualitative research and evaluation settings. The process leverages supervised machine learning based on an implementation of a multinomial Bayesian classifier. Applied to a community of inquiry framework, the algorithm was used to identify…
Descriptors: Qualitative Research, Extension Education, Classification, Computer Uses in Education
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Meyers, Coby V.; Hitt, Dallas Hambrick – School Effectiveness and School Improvement, 2018
Research suggests that high-quality school improvement planning reflective of the school's needs and objectives is central to a principal's success in leading a school. Some American scholars contend that successfully planned and executed "quick wins" are critically important to launching high-level organizational change processes…
Descriptors: Educational Planning, School Turnaround, Principals, Educational Improvement
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Barry, Adam E.; Muraleetharan, Daenuka; Nelon, Jordan; Lautner, Shelby; Callahan, Megan; Zhang, Xiaoying; Herren, Michelle; Chaney, Beth; Stellefson, Michael – American Journal of Health Education, 2018
Background: Powdered alcohol, a new form of crystalline alcohol sold under the brand name Palcohol, has yet to be widely distributed in the United States due to political and public concerns surrounding potential for misuse. Purpose: Given the limited research on powdered alcohol, researchers examined YouTube videos on this controversial substance…
Descriptors: Alcohol Abuse, Social Media, Video Technology, Cultural Influences
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