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Rizk, Nadya; McKenzie, Matt; Samrout, Marya – Teaching Science, 2022
Coding is a process often associated with computers. Nevertheless, coding is a thought process that can be mastered even without a computer. In NSW, primary students are introduced to computational and algorithmic thinking as early as Stage 1. Yet, teaching coding to young students is not always easy for teachers, mostly because the process is…
Descriptors: Programming, Computer Science Education, Computation, Thinking Skills
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Flanigan, Abraham E.; Peteranetz, Markeya S.; Shell, Duane F.; Soh, Leen-Kiat – ACM Transactions on Computing Education, 2022
Two studies investigated change in computer science (CS) students' implicit intelligence beliefs. Across both studies, we found that the strength of incremental and entity beliefs changed across time. In Study 1, we found that incremental beliefs decreased and entity beliefs increased across the semester. Change in implicit intelligence beliefs…
Descriptors: Attitude Change, Computer Science Education, Student Attitudes, Intelligence
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Hu, Yue; Su, Chien-Yuan; Fu, Anna – Education and Information Technologies, 2022
In recent years, increased attention has been given to programming instruction for primary and secondary students. Several game-based programming learning platforms, such as Code.org, Lightbot, and Run Marco, have been created to offer enticing, enjoyable, and visualizable programming learning conditions that facilitate student interest and…
Descriptors: Game Based Learning, Programming, Computer Science Education, Student Attitudes
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Arastoopour Irgens, Golnaz; Adisa, Ibrahim; Bailey, Cinamon; Vega Quesada, Hazel – Educational Technology & Society, 2022
As big data algorithm usage becomes more ubiquitous, it will become critical for all young people, particularly those from historically marginalized populations, to have a deep understanding of data science that empowers them to enact change in their local communities and globally. In this study, we explore the concept of critical machine…
Descriptors: Artificial Intelligence, Children, Algorithms, After School Programs
Green, Clare; Hughes, Sarah – Cambridge University Press & Assessment, 2022
The Digital High Stakes Assessment Programme in Cambridge University Press & Assessment is developing digital assessments for UK and global teachers and learners. In one development, the team are making decisions about the assessment models to use to assess computing systems knowledge and understanding. This research took place as part of the…
Descriptors: Test Items, Computer Science, Achievement Tests, Objective Tests
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Bulathwela, Sahan; Verma, Meghana; Pérez-Ortiz, María; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2022
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…
Descriptors: Video Technology, Lecture Method, Data Analysis, Prediction
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Olipas, Cris Norman P.; Luciano, Ruth G.; Leona, Rodibelle F.; Cochanco, Alexander S.; Bantug, Emilsa T. – Online Submission, 2022
Over the years, globalization has benefitted education in many aspects. This study aims to understand the students' perceptions and expectations of virtual faculty exchange programs conducted in higher learning institutions from the Philippines and Indonesia. This study utilized descriptive research to describe the undergraduate students'…
Descriptors: Student Attitudes, Expectation, Teacher Exchange Programs, Electronic Learning
Kong, Siu-Cheung, Ed.; Abelson, Harold, Ed. – MIT Press, 2022
Computing has become an essential part of today's primary and secondary school curricula. In recent years, K-12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems--"a fundamental skill for everyone,…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Artificial Intelligence
Elizabeth Plasky – ProQuest LLC, 2022
The COVID-19 pandemic caused educators across the country and around the world were required to replace in-person instruction of students with teaching/learning through online platforms for a period of months (Perifanou et al, 2021). Despite the numerous advantages that using technology with students were shown to have, many teachers remain…
Descriptors: Learning Activities, Programming, Computer Science Education, Conventional Instruction
Mary Conyers Tucker – ProQuest LLC, 2022
Learning to program is increasingly important. Yet, it is becoming clear that most students struggle when learning to program (McCracken et al., 2001). This is leading to a divide where some people can program but many others can't. Prior research has traced poor student outcomes to their early experiences learning programming. Still, little is…
Descriptors: Teaching Methods, Programming, Computer Science Education, Student Motivation
Casey, Cindy Lou – ProQuest LLC, 2022
The objective of this study is to survey existing and emerging post-secondary computing and technology programs and employment trends in Pennsylvania to determine if college graduates are being prepared for careers in artificial intelligence. Due to low enrollment, colleges and universities are continually revising or restructuring their existing…
Descriptors: Artificial Intelligence, Postsecondary Education, Program Evaluation, Computer Science Education
Hao Loi – ProQuest LLC, 2022
This action research study investigated how a community college faculty member can improve completion rates in introductory computer science (CS1) courses. Some students think the CS1 course is challenging or non-interesting after taking the class midway and then dropping out. Others would fail the exams repeatedly. Since the exams are mostly…
Descriptors: Community Colleges, College Faculty, Community College Students, Academic Persistence
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Codding, Diane; Alkhateeb, Bataul; Mouza, Chrystalla; Pollock, Lori – Journal of Technology and Teacher Education, 2021
The field of computer science continues to lack diverse representation from women and racially minoritized individuals. One way to address the discrepancies in representation is through systematic changes in computer science education from a young age. Pedagogical and instructional changes are needed to promote meaningful and equitable learning…
Descriptors: Computer Science Education, Teacher Attitudes, Culturally Relevant Education, Computer Science
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Ülker, Ezgi Deniz – Cypriot Journal of Educational Sciences, 2020
The ability of analysing and designing an algorithm is quite essential for computer science education. The students in the Analysis and Design of Algorithms (ADA) course are expected to be able to solve problems by choosing one of the proper design methods and to analyse the algorithm's performance in terms of various aspects. Instead of using…
Descriptors: Computer Science Education, Design, Mathematics, Programming
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Takada, Shingo; Cuadros-Vargas, Ernesto; Impagliazzo, John; Gordon, Steven; Marshall, Linda; Topi, Heikki; van der Veer, Gerrit; Waguespack, Leslie – Education and Information Technologies, 2020
Various computing subdisciplines, such as computer science and software engineering, each have their own curricular guidelines. They can be very difficult to understand and compare for people such as prospective students, industry personnel, and even faculty members. This is compounded by a lack of information surrounding undergraduate computing…
Descriptors: Computer Science Education, Curriculum Development, Academic Standards, Visualization
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