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Ahmad, Adnan; Zeshan, Furkh; Khan, Muhammad Salman; Marriam, Rutab; Ali, Amjad; Samreen, Alia – ACM Transactions on Computing Education, 2020
Gamification is the use of game elements in domains other than games. Gamification use is often suggested for difficult activities because it enhances users' engagement and motivation level. Due to such benefits, the use of gamification is also proposed in education environments to improve students' performance, engagement, and satisfaction.…
Descriptors: Educational Games, Educational Objectives, Computer Science Education, Instruction
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Akpinar, Nil-Jana; Ramdas, Aaditya; Acar, Umut – International Educational Data Mining Society, 2020
Educational software data promises unique insights into students' study behaviors and drivers of success. While much work has been dedicated to performance prediction in massive open online courses, it is unclear if the same methods can be applied to blended courses and a deeper understanding of student strategies is often missing. We use pattern…
Descriptors: Learning Strategies, Blended Learning, Learning Analytics, Student Behavior
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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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Simic, Danijela – International Journal for Technology in Mathematics Education, 2015
Stepwise program refinement techniques can be used to simplify program verification. Programs are better understood since their main properties are clearly stated, and verification of rather complex algorithms is reduced to proving simple statements connecting successive program specifications. Additionally, it is easy to analyse similar…
Descriptors: Mathematics, Computer Science, Computer Science Education, Comparative Analysis
Margolis, Jane; Goode, Joanna; Ryoo, Jean J. – Educational Leadership, 2015
Computer science programs are too often identified with a narrow stratum of the student population, often white or Asian boys who have access to computers at home. But because computers play such a huge role in our world today, all students can benefit from the study of computer science and the opportunity to build skills related to computing. The…
Descriptors: Computer Science Education, Computer Science, High School Students, Programming
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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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Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
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