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Menon, Pratibha – Information Systems Education Journal, 2022
The autonomy and flexibility that online learning contents provide students in a traditional face-to-face course require them to pick up newer strategies for regulating their learning process. This study focuses on identifying how students' self-reported traits of self-regulated learning may relate to the task value of the learning contents of an…
Descriptors: Learning Strategies, Programming, Computer Science Education, Metacognition
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Anael Kuperwajs Cohen; Alannah Oleson; Amy J. Ko – ACM Transactions on Computing Education, 2024
Collaboration is an important aspect of computing. In a classroom setting, working with others can increase a student's motivation to attempt more challenges, reduce the difficulty of complicated concepts, and bring about greater overall success. Despite extensive research in other domains, there has been minimal exploration within computing on…
Descriptors: College Students, Help Seeking, Student Behavior, Programming
Kim, Ji Yeon – ProQuest LLC, 2019
With the high influx of computer science enrollment in universities in the last decade, there is increasing value and wide-reaching effects in improving pedagogy in the field. This improvement is especially useful in introductory computer science courses (CS1). Student experience in the first programming course is known to heavily influence…
Descriptors: College Students, Computer Science Education, Introductory Courses, Programming
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Inan, Fethi; Yukselturk, Erman; Kurucay, Murat; Flores, Raymond – International Journal on E-Learning, 2017
The purpose of this study was to examine whether students' self-regulation skills impact their success and satisfaction in an online learning environment. Data was collected from one hundred and fifty-five students taking an online introductory programming course offered as a part of certification curriculum in a public university in Turkey. The…
Descriptors: Online Courses, Metacognition, Time Management, Help Seeking
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Price, Thomas; Zhi, Rui; Barnes, Tiffany – International Educational Data Mining Society, 2017
In this paper we present a novel, data-driven algorithm for generating feedback for students on open-ended programming problems. The feedback goes beyond next-step hints, annotating a student's whole program with suggested edits, including code that should be moved or reordered. We also build on existing work to design a methodology for evaluating…
Descriptors: Feedback (Response), Computer Software, Data Analysis, Programming
Ahmad, Khuloud Nasser – ProQuest LLC, 2012
A reexamination of the traditional instruction of introductory computer science (CS) courses is becoming a necessity. Introductory CS courses tend to have high attrition rates and low success rates. In many universities, the CS department suffered from low enrollment for several years compared to other majors. Multiple studies have linked these…
Descriptors: Computer Oriented Programs, Computer Science Education, Introductory Courses, Nonmajors