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Sharon Pisani; Alan Miller; Mark Hall – Education and Information Technologies, 2024
Cultural heritage is no longer something that can only be experienced in a museum exhibition. Digital tools have facilitated the distribution of material relating to artefacts, both in its representation and in presenting its context. This paper describes how digital modelling techniques can be synthesised with 3D scanning to digitally restore…
Descriptors: Cultural Background, Sculpture, Heritage Education, Media Adaptation
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John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
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Ruiz, Jenny; Serral Asensio, Estefania; Snoeck, Monique – IEEE Transactions on Learning Technologies, 2020
The user interface (UI) is a key component of an interactive software application; therefore, it is important to provide software developers with basic UI design skills. However, teaching UI design is challenging, even at a basic level, and there is little teaching support. In this article, we investigate the benefits of the feedback-enriched…
Descriptors: Computer Interfaces, Computer System Design, Computer Software, Feedback (Response)
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Smith, Mariah; Peterson, Donna J.; Downey, Laura H. – Journal of Extension, 2020
The lesson study methodology allows Extension educators to reflect on instructional practices and gather formative data that can be used to refine curricula. We trained Extension educators and formed a community of practice (CoP) of agents who used the lesson study method to inform improvements of a 4-H coding curriculum. The CoP planned and set…
Descriptors: Curriculum Development, Extension Education, Teacher Collaboration, Communities of Practice
Somyürek, Sibel; Brusilovsky, Peter; Guerra, Julio – Research and Practice in Technology Enhanced Learning, 2020
Research has demonstrated that people generally think both their knowledge and performance levels are greater than they are. Although several studies have suggested that knowledge and progress visualization offered by open learner modeling (OLM) technology might influence students' self-awareness in a positive way, insufficient evidence exists to…
Descriptors: Knowledge Level, Self Evaluation (Individuals), Self Concept, College Students
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Lockwood, Elise; De Chenne, Adaline – International Journal of Research in Undergraduate Mathematics Education, 2020
When solving counting problems, students often struggle with determining what they are trying to count (and thus what problem type they are trying to solve and, ultimately, what formula appropriately applies). There is a need to explore potential interventions to deepen students' understanding of key distinctions between problem types and to…
Descriptors: Thinking Skills, Programming Languages, Computer Science Education, Introductory Courses
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Goudouris, Cesar; de Abreu Mol, Antônio Carlos; Legey, Ana Paula; de Carvalho, Paulo Victor Rodrigues; Freire, Joana Loureiro; Martins, Bianca Maria Rego; Jatobá, Alessandro – Education and Information Technologies, 2020
Teaching computer programming to children and adolescents has become popular in recent years. This popularity has resulted in increased research into techniques for teaching introductory programming using visual languages, especially block-based languages. This study aims to explore new possibilities for teaching programming by adopting a hybrid…
Descriptors: High School Students, Computer Science Education, Programming, Teaching Methods
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Smith, Julie M. – Journal of Computers in Mathematics and Science Teaching, 2020
In contrast to the experience of other professional fields, the percentage of women in computer science has decreased substantially in recent decades. This phenomenon is a significant and growing problem in a society where new technologies impact nearly every facet of life, including criminal justice and health care. This study examines whether…
Descriptors: Females, Computer Science Education, College Students, Predictor Variables
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Chen, Chen; Sonnert, Gerhard; Sadler, Philip M.; Malan, David J. – Journal of Computer Assisted Learning, 2020
Massive open online course (MOOC) studies have shown that precourse skills (such as precomputational thinking) and course engagement measures (such as making multiple submission attempts with assignments when the initial submission is incorrect) predict students' grade performance, yet little is known about whether these factors predict students'…
Descriptors: Computation, Thinking Skills, Assignments, Predictor Variables
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Spieler, Bernadette; Grandl, Maria; Ebner, Martin; Slany, Wolfgang – Electronic Journal of e-Learning, 2020
Knowledge in Computer Science (CS) is essential, and companies have increased their demands for CS professionals. Despite this, many jobs remain vacant. Furthermore, computational thinking (CT) skills are required in all contexts of problem solving. A further serious problem arises from the gender disparity in technology related fields. Even if…
Descriptors: Computer Science Education, Online Courses, College Freshmen, Foreign Countries
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Bass, Eric; De Jong, David – International Journal of Educational Leadership Preparation, 2020
Computer science education has seen a large national push to be included in the K-12 curriculum (Fluck, Webb, Cox, Angeli, Malyn-Smith, Voogt, & Zagami, 2016; Theresa Avancena & Nishihara, 2014; Veletsianos, Beth, Lin, & Russell, 2016; Yadav, Gretter, Hambrusch, & Sands, 2016). Students are leaving schools and entering an economy…
Descriptors: Computer Science Education, Graduation Requirements, Elementary Secondary Education, High School Students
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Sirakaya, Didem Alsancak – International Journal of Computer Science Education in Schools, 2020
This research aims to determine the change in students' computational thinking skills according to their ICT and mobile technology experience and frequency of use. The sample of the study, designed with the survey model, consisted of 269 students attending a vocational school of higher education. Data were collected using the Computational…
Descriptors: Thinking Skills, Information Technology, Handheld Devices, Electronic Learning
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Gillott, Lauren; Joyce-Gibbons, Andrew; Hidson, Elizabeth – International Journal of Computer Science Education in Schools, 2020
This study compares computational thinking skills evidenced by two groups of students in two different secondary schools: one group per school was studying a qualification in Computer Science. The aim was to establish which elements of computational thinking were more prevalent in students studying Computer Science to a higher level. This in turn…
Descriptors: Computation, Thinking Skills, Computer Science Education, Exit Examinations
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Kussmaul, Clif – Information Systems Education Journal, 2020
This case describes a classroom activity that explores a fictional software product company to help students learn about ways that businesses make money from software, including Free & Open Source Software (FOSS). The activity shows how a company might evolve through different business models, but does not imply that some models are always…
Descriptors: Class Activities, Computer Software, Computer Science Education, Inquiry
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Iatrellis, Omiros; Savvas, Ilias K.; Kameas, Achilles; Fitsilis, Panos – Education and Information Technologies, 2020
The present research work proposes the development of an integrated framework for the personalization and parameterization of learning pathways, aiming at optimizing the quality of the offered services by the Higher Educational Institutions (HEI). In order to achieve this goal, in addition to the educational part, the EDUC8 framework encloses the…
Descriptors: Higher Education, Learning Processes, Electronic Learning, Semantics
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