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Yeomans, Lucy; Zschaler, Steffen; Coate, Kelly – ACM Transactions on Computing Education, 2019
Programming skills are an increasingly desirable asset across disciplines; however, learning to program continues to be difficult for many students. To improve pedagogy, we need to better understand the concepts that students find difficult and which have the biggest impact on their learning. Threshold-concept theory provides a potential lens on…
Descriptors: Programming, Student Attitudes, Attitudes, Concept Formation
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Emerson, Andrew; Rodríguez, Fernando J.; Mott, Bradford; Smith, Andy; Min, Wookhee; Boyer, Kristy Elizabeth; Smith, Cody; Wiebe, Eric; Lester, James – International Educational Data Mining Society, 2019
Recent years have seen a growing interest in block-based programming environments for computer science education. While these environments hold significant potential for novice programmers, they lack the adaptive support necessary to accommodate students exhibiting a wide range of initial capabilities and dispositions toward computing. A promising…
Descriptors: Programming, Computer Science Education, Feedback (Response), Prediction
Kovach-Hayes, Elizabeth A. – ProQuest LLC, 2019
This dissertation is a case study of State Public University (pseudonym), a large, public university in the United States, and the promising practice that improved student learning by redesigning an Information Technology course (pseudonym IT-101). The stakeholders were faculty who were involved in the redesign. As part of this qualitative study,…
Descriptors: Student Experience, College Students, Curriculum Design, Information Technology
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Dalal, Amy Csizmar; Oliver, Emily – Journal of Higher Education Outreach and Engagement, 2022
We present a case study of a multi-year, academic civic engagement (ACE) collaboration in a computer science capstone course. ACE projects in computer science provide an avenue for students to apply software development concepts to real-world projects with actual clients, and can offer meaningful engagement with ethical issues. The typical…
Descriptors: Case Studies, Computer Science Education, Capstone Experiences, Outcomes of Education
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Lin, Jian-Wei – Australasian Journal of Educational Technology, 2022
The COVID-19 pandemic has forced universities to make a radical switch from face-to-face traditional teaching (TT) to completely online learning (OL). Thus, many studies proposed the proper OL environment for a specific subject and evaluated its effectiveness. However, few studies have empirically compared the proposed OL environment with TT to…
Descriptors: Blended Learning, Computer Science Education, Educational Change, Universities
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Gresse Von Wangenheim, Christiane; Da Cruz Alves, Nathalia; Rauber, Marcelo F.; Hauck, Jean C. R.; Yeter, Ibrahim H. – Informatics in Education, 2022
Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…
Descriptors: Performance Based Assessment, Artificial Intelligence, Learning Processes, Scoring Rubrics
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Srichai, Kittipat; Wongsaphan, Montree – Journal of Educational Issues, 2022
Trisikkha principles consisting of morality, concentration, and wisdom discovered by the Lord Buddha, as well as the concept of contemplative education has been applied to learning-teaching management in Thailand for a long time. This research aimed to investigate the implementation of the learning management model based on the Trisikkha…
Descriptors: Moral Values, Student Attitudes, Student Characteristics, Teaching Methods
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Caspari-Sadeghi, Sima; Mille, Elena; Epperlein, Hella; Forster-Heinlein, Brigitte – Mathematics Teaching Research Journal, 2022
This collaborative action research highlights the need for developing students' evaluative competence and self-reflection by embedding self-and-peer assessment into online instruction. Over the course of a semester in an online master program in mathematics and computer sciences, students conducted research on assigned topics, held presentations,…
Descriptors: Graduate Students, Masters Programs, College Mathematics, Mathematics Education
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Kermek, Dragutin; Novak, Matija – Informatics in Education, 2016
In programming courses there are various ways in which students attempt to cheat. The most commonly used method is copying source code from other students and making minimal changes in it, like renaming variable names. Several tools like Sherlock, JPlag and Moss have been devised to detect source code plagiarism. However, for larger student…
Descriptors: Plagiarism, Programming, Assignments, Cheating
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Paaßen, Benjamin; Jensen, Joris; Hammer, Barbara – International Educational Data Mining Society, 2016
The first intelligent tutoring systems for computer programming have been proposed more than 30 years ago, mostly focusing on well defined programming tasks e.g. in the context of logic programming. Recent systems also teach complex programs, where explicit modelling of every possible program and mistake is no longer possible. Such systems are…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Data
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Bonner, Sarah; Chen, Peggy; Jones, Kristi; Milonovich, Brandon – Applied Measurement in Education, 2021
We describe the use of think alouds to examine substantive processes involved in performance on a formative assessment of computational thinking (CT) designed to support self-regulated learning (SRL). Our task design model included three phases of work on a computational thinking problem: forethought, performance, and reflection. The cognitive…
Descriptors: Formative Evaluation, Thinking Skills, Metacognition, Computer Science Education
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Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education
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Anthonysamy, Lilian; Ah Choo, Koo; Soon Hin, Hew – Malaysian Journal of Learning and Instruction, 2021
Purpose: The rise of digital learning and the prevalence of affordable devices are convenient for young adults who are accustomed to using their digital devices for almost everything such as communication, collaboration, and accessing multiple sources of information for solutions. However, the lack of ability to self-regulate learning processes…
Descriptors: Metacognition, Learning Strategies, Private Colleges, Foreign Countries
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Marco-Bujosa, Lisa M.; Joy, Lois; Sorrentino, Rachel – Community College Journal of Research and Practice, 2021
Community colleges are a vital source of students in the STEM career pipeline. Yet, research indicates that rather than diversifying the STEM workforce, community colleges may be perpetuating gender imbalances. This qualitative phenomenological study was designed to examine differences in male and female experiences in two male-dominated community…
Descriptors: Gender Differences, Gender Bias, Sex Stereotypes, Community Colleges
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Bati, Kaan; Ikbal Yetisir, Mehmet – Computers in the Schools, 2021
Over the past two decades, the integration of computational thinking, as well as information and communications technology within educational programs, has gained importance. A primary obstacle to integrating computational thinking into teaching and learning is the level of teachers' knowledge, skills, and perceptions related to this topic. This…
Descriptors: Middle School Teachers, STEM Education, Knowledge Level, Technological Literacy
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