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Csizmadia, Andrew; Standl, Bernhard; Waite, Jane – Informatics in Education, 2019
In computer science education at school, computational thinking has been an emerging topic over the last decade. Even though, computational thinking is interpreted and integrated in classrooms in different ways, an identification process about what computational thinking is about has been in progress among computer science school-teachers and…
Descriptors: Constructivism (Learning), Computation, Thinking Skills, Class Activities
Kwon, Kyungbin; Cheon, Jongpil – International Journal of Computer Science Education in Schools, 2019
Although teachers need to assess computational thinking (CT) for computer science education in K-12, it is not easy for them to evaluate students' programs based on the perspective. The purpose of this study was to investigate students' CT skills reflected in their Scratch programs. The context of the study was a middle school coding club where…
Descriptors: Computer Science Education, Computation, Thinking Skills, Coding
Pugachev, Sarah – portal: Libraries and the Academy, 2019
Since 2014, the University Libraries at the University of Oklahoma in Norman has been a member of the Software Carpentry Foundation (now part of "The Carpentries"), a nonprofit organization dedicated to teaching basic computing skills to researchers. Through this partnership, we have taught over a dozen introductory programming workshops…
Descriptors: Academic Libraries, Computer Science Education, Partnerships in Education, Introductory Courses
Payne, Lisa – Journal of Further and Higher Education, 2019
Student engagement is a complex phenomenon, with diverse interpretations, even within further and higher education. This article presents three potential, interconnected, novel models which provide a measure of unification of the range of interpretations and hence may improve understanding of the broad phenomenon. The models emerged from a study…
Descriptors: Learner Engagement, College Students, Models, Learning Processes
Hao, Qiang; Smith, David H.; Iriumi, Naitra; Tsikerdekis, Michail; Ko, Andrew J. – ACM Transactions on Computing Education, 2019
As the societal demands for application and knowledge in computer science (CS) increase, CS student enrollment keeps growing rapidly around the world. By continuously improving the efficacy of computing education and providing guidelines for learning and teaching practice, computing education research plays a vital role in addressing both…
Descriptors: Computer Science Education, Educational Improvement, Guidelines, Teaching Methods
Vainionpää, Fanny; Molin-Juustila, Tonja; Arhippainen, Leena – Journal of Information Systems Education, 2022
Information Systems education has been concerned with student recruitment and diversity. We asked 123 students in an introductory course why they had chosen the Information Technology field. The course provided an opportunity to inquire the motivation of a diverse set of students as the course is open to anyone. We wanted to learn about our…
Descriptors: Student Characteristics, Student Interests, Identification (Psychology), Age Differences
Auyelbek, Murat; Ybyraimzhanov, Kalibek; Andasbayev, Erlan; Abdykerimova, Elmira; Turkmenbayev, Asset – Journal of Turkish Science Education, 2022
Based on the consistent development of technologization, robotics has become widely used in many fields of activity as a tool and an educational resource. This article presents some arguments about insufficiency, as well as the importance of further academic discourse, which can serve as a starting point for similar studies and the development of…
Descriptors: Teaching Methods, Robotics, Instructional Effectiveness, Research Reports
del Olmo-Muñoz, Javier; Cózar-Gutiérrez, Ramón; González-Calero, José Antonio – International Journal of Technology and Design Education, 2022
The inclusion of Computational Thinking (CT) in the classroom along with the promotion of positive attitudes in early ages towards technology have great relevance in the current educational paradigm. This study analyses whether CT instruction may improve pupils' attitudes towards technology, and also considers whether instructional approaches and…
Descriptors: Grade 2, Elementary School Students, Student Attitudes, Comparative Analysis
Kleinman, Erica; Shergadwala, Murtuza N.; Teng, Zhaoqing; Villareale, Jennifer; Bryant, Andy; Zhu, Jichen; Seif El-Nasr, Magy – Journal of Learning Analytics, 2022
Educational technology is shifting toward facilitating personalized learning. Such personalization, however, requires a detailed understanding of students' problem-solving processes. Sequence analysis (SA) is a promising approach to gaining granular insights into student problem solving; however, existing techniques are difficult to interpret…
Descriptors: Problem Solving, Learning Analytics, Decision Making, Educational Technology
Innocent, Willy A.; Kipene, Visent Tisima – International Journal of Education and Development using Information and Communication Technology, 2022
Information and communication technology (ICT) is regarded as the key building block for accelerating development in the contemporary world. The rate of female integration in the ICT area continues to be low, despite the tremendous growth of science and technology. Using Mbeya University of Science and Technology as a case study, this study…
Descriptors: Student Attitudes, Females, Foreign Countries, Information Technology
Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
Sibley F. Lyndgaard; Corey E. Tatel; Ruth Kanfer; Julia E. Melkers; Justin C. Sabree – Computer-Based Learning in Context, 2022
The disruptive effects of the COVID pandemic on vulnerable and/or minority demographic groups among 1) student populations and 2) persons employed in low wage sectors are well-established. This study examined whether disparity in the disruptive effects of the pandemic extend to adult learners employed in "bright prospect" sectors (e.g.,…
Descriptors: COVID-19, Pandemics, Minority Group Students, Adult Students
Laovisutthichai, Vikrom; Srihiran, Kaweekrai; Lu, Weisheng – Industry and Higher Education, 2023
Building information modeling (BIM) has been a disruptive development in the global architecture, engineering, construction and operations (AECO) industry. While architecture schools have sought to integrate BIM into their curricula, most current pedagogical approaches and lessons are derived from engineering and construction management…
Descriptors: Architectural Education, Case Studies, Creativity, Construction Industry
Prates, Jorge Marques; Melo, Silvana Morita; Valle, Pedro Henrique Dias; Garcia, Rogério Eduardo; Maldonado, José Carlos – Informatics in Education, 2023
Nowadays, SPOCs (Small Private Online Courses) have been used as complementary methods to support classroom teaching. SPOCs are courses that apply the usage of MOOCs (Massive Open Online Courses), combining classroom with online education, making them an exciting alternative for contexts such as emergency remote teaching. Although SPOCs have been…
Descriptors: Computer Software, Computer Science Education, COVID-19, Pandemics
Dan Frederking; Ajay Srikanth; Carrie Scholz – American Institutes for Research, 2023
PUMP-CS (Preparing Urban Milwaukee Pathways in Computer Science) is a researcher-practitioner partnership (RPP) among Milwaukee Public Schools (MPS), Marquette University, the Learning Partnership, and the American Institutes for Research® (AIR®). The partnership's goal is to solidify and strengthen a preK-12 computer science pathway throughout…
Descriptors: Educational Research, Partnerships in Education, Urban Areas, Computer Science Education

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