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Belland, Brian R.; Kim, Chanmin; Zhang, Anna Y.; Lee, Eunseo – ACM Transactions on Computing Education, 2023
This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…
Descriptors: Predictor Variables, Preservice Teachers, Student Attitudes, Programming
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Chen, Chen; Jeckel, Stuart; Sonnert, Gerhard; Sadler, Philip M. – International Journal of Computer Science Education in Schools, 2019
This study examines the relationship between students' pre-college experience with computers and their later success in introductory computer science classes in college. Data were drawn from a nationally representative sample of 10,197 students enrolled in computer science at 118 colleges and universities in the United States. We found that…
Descriptors: Computer Science Education, Programming, Academic Achievement, College Students
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Adkins, Joni K.; Linville, Diana R.; Badami, Charles – Information Systems Education Journal, 2020
Online textbooks allow instructors to provide interactive and engaging activities for students. In this paper, we look at how providing an interactive online textbook is utilized and valued in a beginning computer programming course. In addition, we compare the utilization of the online textbook to the student final course grade. Our findings…
Descriptors: Instructional Effectiveness, Introductory Courses, Programming, Computer Science Education
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Tomkin, Jonathan H.; West, Matthew; Herman, Geoffrey L. – ACM Transactions on Computing Education, 2018
We present a methodological improvement for calculating Grade Point Averages (GPAs). Heterogeneity in grading between courses systematically biases observed GPAs for individual students: the GPA observed depends on course selection. We show how a logistic model can account for course selection by simulating how every student in a sample would…
Descriptors: Grade Point Average, Grading, Predictor Variables, Grades (Scholastic)
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Wiggins, Joseph B.; Grafsgaard, Joseph F.; Boyer, Kristy Elizabeth; Wiebe, Eric N.; Lester, James C. – International Journal of Artificial Intelligence in Education, 2017
In recent years, significant advances have been made in intelligent tutoring systems, and these advances hold great promise for adaptively supporting computer science (CS) learning. In particular, tutorial dialogue systems that engage students in natural language dialogue can create rich, adaptive interactions. A promising approach to increasing…
Descriptors: Intelligent Tutoring Systems, Self Efficacy, Computer Science Education, Dialogs (Language)
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Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2011
In the 21st century, the ubiquitous nature of technology today is evident and to a large extent, most of us benefit from the modern convenience brought about by technology. Yet to be technology literate, it is argued that learning to program still plays an important role. One area of research in programming concerns the identification of…
Descriptors: Foreign Countries, Academic Achievement, Information Technology, Least Squares Statistics
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Hui, Tie Hui; Umar, Irfan Naufal – Turkish Online Journal of Educational Technology - TOJET, 2011
This study aims to investigate the effects of metaphors and pairing activity on programming performance of students with different self-regulated-learning (SRL) level. A total of 84 computing students were involved in this seven-week study, and they were randomly assigned either to a group that received a combination of metaphor and pair…
Descriptors: Foreign Countries, Discussion, Figurative Language, Teaching Methods
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He, Jun; Freeman, Lee A. – Journal of Information Systems Education, 2010
Previous research has studied gender differences in people's perceptions and behaviors toward information technologies with mixed findings. In addition, the reasons causing these differences have been discussed but rarely empirically tested in the literature. In this study, we investigated the mechanisms through which gender affects the…
Descriptors: College Students, Self Efficacy, Gender Differences, Females
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Ismail, Mohd Nasir; Ngah, Nor Azilah; Umar, Irfan Naufal – Journal of Educational Computing Research, 2010
The purpose of the study is to investigate the effects of mind mapping with cooperative learning (MMCL) and cooperative learning (CL) on: (a) programming performance; (b) problem solving skill; and (c) metacognitive knowledge among computer science students in Malaysia. The moderating variable is the students' logical thinking level with two…
Descriptors: Thinking Skills, Hypothesis Testing, Control Groups, Cooperative Learning
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Robins, Anthony – Computer Science Education, 2010
Compared to other subjects, the typical introductory programming (CS1) course has higher than usual rates of both failing and high grades, creating a characteristic bimodal grade distribution. In this article, I explore two possible explanations. The conventional explanation has been that learners naturally fall into populations of programmers and…
Descriptors: Programming, Learning Processes, Grading, Simulation
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Randolph, Justus; Julnes, George; Sutinen, Erkki; Lehman, Steve – Journal of Information Technology Education, 2008
Methodological reviews have been used successfully to identify research trends and improve research practice in a variety of academic fields. Although there have been three methodological reviews of the emerging field of computer science education research, they lacked reliability or generalizability. Therefore, because of the capacity for a…
Descriptors: Computer Science Education, Research Design, Research Methodology, Science Education
Madhyastha, Tara M.; Tanimoto, Steven – International Working Group on Educational Data Mining, 2009
Most of the emphasis on mining online assessment logs has been to identify content-specific errors. However, the pattern of general "consistency" is domain independent, strongly related to performance, and can itself be a target of educational data mining. We demonstrate that simple consistency indicators are related to student outcomes,…
Descriptors: Web Based Instruction, Computer Assisted Testing, Computer Software, Computer Science Education