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Schulz, Sandra; Berndt, Sarah; Hawlitschek, Anja – Computer Science Education, 2023
Background and Context: Collaborative and cooperative learning is important to prepare students for their future work and to increase their learning performance in university courses. Several studies have shown promising results regarding team activities, such as pair programming. However, there is little information on how teamwork is currently…
Descriptors: Cooperative Learning, Computer Science Education, Higher Education, Foreign Countries
Miedema, Daphne; Fletcher, George; Aivaloglou, Efthimia – ACM Transactions on Computing Education, 2023
Prior studies in the Computer Science education literature have illustrated that novices make many mistakes in composing SQL queries. Query formulation proves to be difficult for students. Only recently, some headway was made towards understanding why SQL leads to so many mistakes, by uncovering student misconceptions. In this article, we shed new…
Descriptors: Computer Science Education, Novices, Misconceptions, Programming Languages
Jens Dörpinghaus; Johanna Binnewitt; David Samray; Kristine Hein – ACM Transactions on Computing Education, 2024
Objectives: The purpose of this study is to reveal the importance of informatics in continuing vocational education in Germany. The labour market is a field with diverse data structures and multiple applications, for example connecting jobseekers and trainings or jobs. The labour market heavily relies on vocational education and training and…
Descriptors: Foreign Countries, Information Science Education, Computer Science Education, Vocational Education
André Coners; Benjamin Matthies; Carolin Vollenberg; Julian Koch – Journal of Statistics and Data Science Education, 2025
The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a call to integrate such Data Literacy and Data…
Descriptors: Statistics Education, Higher Education, Information Science Education, Computer Science Education
Baucks, Frederik; Wiskott, Laurenz – International Educational Data Mining Society, 2022
Curriculum research is an important tool for understanding complex processes within a degree program. In particular, stochastic graphical models and simulations on related curriculum graphs have been used to make predictions about dropout rates, grades, and degree completion time. There exists, however, little research on changes in the curriculum…
Descriptors: Curriculum Development, Educational Change, Educational Policy, Prerequisites
Hawlitschek, Anja; Dietrich, André; Zug, Sebastian – Computer Science Education, 2023
Background and Context: During online learning, it is essential to provide instructional guidance to support learning. However, guidance can be given in different forms and quantities. Thus, one important challenge is to provide the right amount and type of instructional guidance. Objective: The aim of the study is to investigate types of guidance…
Descriptors: Computer Science Education, Electronic Learning, Distance Education, Teaching Methods
Patricia Brockmann – International Association for Development of the Information Society, 2023
A novel course concept to enable master's degree students to acquire research skills is described as an experience report. A hybrid, inquiry-based format was developed to simulate each phase of writing and presenting a research paper at a scientific conference. Students self-organized into groups to conduct each phase of the research process to…
Descriptors: Inquiry, Active Learning, Masters Programs, Graduate Students
Axel Gehrmann, Editor; Peggy Germer, Editor – Springer, 2025
This Open Access volume aims to inspire innovative and culturally-responsive transformations in teacher education practices and policies within Europe and beyond in the context of teacher shortage. It amalgamates the collaborative efforts during several years between the Center for Teacher Education and Educational Research (ZLSB) at TU Dresden…
Descriptors: Teacher Shortage, Educational Innovation, Culturally Relevant Education, Preservice Teacher Education
Krista Larue Keeley, Editor – IGI Global, 2025
Vocational and regional education systems undergo significant transformations through the integration of innovative approaches designed to meet the demands of local economies and global labor markets. Emphasizing practical skills, industry partnerships, and technology-driven learning, these new models focus on preparing students for real-world…
Descriptors: Educational Innovation, Career and Technical Education, School Business Relationship, School Community Relationship
Schätz, Eric; Martens, Alke – International Association for Development of the Information Society, 2022
As we talked with school teachers about the use of physical computing systems in class, one major drawback of these systems became obvious: almost nobody--next to enthusiastic autodidacts--has been able to tell us on an abstract basis for which educational purposes a certain physical computing system can be used, i.e. in a goal-oriented way. This…
Descriptors: Teacher Attitudes, Teaching Methods, Educational Improvement, Computer Science Education
Eric Schätz; Alke Martens – International Association for Development of the Information Society, 2023
Due the wideness of the term Physical Computing, there is a need for a better structure of this topic. This paper is about an approach of structuring this field by finding attributes of different physical computing devices which can be used in class. Those attributes are meant to enforce teachers as well as researchers to analyze different devices…
Descriptors: Computer Use, Handheld Devices, Telecommunications, Teaching Methods
Podworny, Susanne; Hüsing, Sven; Schulte, Carsten – Statistics Education Research Journal, 2022
Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…
Descriptors: Statistics Education, Programming, Programming Languages, Data Analysis
Schwerter, Jakob; Ilg, Lena – European Journal of Higher Education, 2023
Many women do not work in science, technology, engineering, and mathematics (STEM) occupations even though they have degrees in these subjects. To shed light on this problem, we use information from the German Graduate Panel and show a significant gender gap among STEM graduates working in degree-related occupations after graduation. Therefore, we…
Descriptors: Gender Differences, Labor Market, STEM Education, College Graduates
Inmaculada Arnedillo Sánchez, Editor; Piet Kommers, Editor; Tomayess Issa, Editor; Pedro Isaías, Editor – International Association for Development of the Information Society, 2025
These proceedings contain the papers and posters of 21th International Conference on Mobile Learning (ML 2025) and 10th International Conference on Educational Technologies 2025 (ICEduTech 2025), organised by the International Association for Development of the Information Society in Madeira Island, during 1-3 March 2025.
Descriptors: Electronic Learning, Educational Technology, Blended Learning, Online Courses
Shelley, Mack, Ed.; Sahin, Ismail, Ed. – International Society for Technology, Education, and Science, 2022
Education, science, and technology disciplines at all levels have never been more important, more exciting, or more crucial for its broader impacts on human society. The need for advanced technical skills is increasingly pressing to address climate change, combat COVID and other diseases, enhance the infrastructural built environment, grow food…
Descriptors: Access to Education, Foreign Countries, Education, Sciences
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