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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
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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
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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
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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
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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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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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