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Showing all 15 results Save | Export
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Yun Huang; Christian Dieter Schunn; Julio Guerra; Peter L. Brusilovsky – ACM Transactions on Computing Education, 2024
Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…
Descriptors: Programming, Computer Science Education, Error Patterns, Classification
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Ritter, Frauke; Standl, Bernhard – Informatics in Education, 2023
We live in a digital age, not least accelerated by the COVID-19 pandemic. It is all the more important in our society that students learn and master the key competence of algorithmic thinking to understand the informatics concepts behind every digital phenomena and thus is able to actively shape the future. For this to be successful, concepts must…
Descriptors: Algorithms, Information Science Education, Computer Science Education, COVID-19
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Christine Ladwig; Dana Schwieger – Information Systems Education Journal, 2024
Hollywood screenwriters worry about Artificial Intelligence (AI) replacements taking over their jobs. Famous museums litigate to protect their art from AI infringement. A major retailer scraps a machine-learning based recruitment program that was biased against women. These are just a few examples of how AI is affecting the world of work,…
Descriptors: Computer Science Education, Curriculum Development, Information Systems, Information Science Education
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
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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
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Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2022
No-code/low-code app development is transforming traditional information system development paradigms. This teaching tip uses an example of course unit of decision support systems (DSS) to demonstrate that introducing no-code system implementation assignments into a course as a replacement for computer programming language exercises can improve…
Descriptors: Information Systems, Information Science Education, Programming Languages, Teaching Methods
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Bubica, Nikolina; Boljat, Ivica – Informatics in Education, 2022
The new Croatian Informatics curriculum, which introduces computational thinking concepts into learning outcomes has been put into practice. A computational thinking assessment model reflecting the learning outcomes of the Croatian curriculum was created using an evidence-centered design approach. The possibility of assessing the computational…
Descriptors: Thinking Skills, Foreign Countries, Information Science Education, Computer Science Education
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Wolz, Sabine; Bergande, Bianca; Brune, Philipp – Cogent Education, 2022
Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…
Descriptors: Introductory Courses, Gender Differences, Computer Science Education, Nonmajors
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Marquardson, Jim; Elnoshokaty, Ahmed – Information Systems Education Journal, 2020
People starting cybersecurity careers have three main avenues for achieving entry-level job qualifications: learning in-demand skills, earning industry certifications, and graduating with a college degree. Though people can pursue skills, certificates, and degrees together, financial and time constraints often make people focus their efforts to…
Descriptors: Information Security, Computer Security, Employment Opportunities, Employment Qualifications
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Hartati, Sulis Janu; Vitianingsih, Anik Vega; Kurniati, Neny; Sulistyowati; Muhajir – International Education Studies, 2020
This paper examines the limited proficiency to engage in programming algorithms among university students in information technology and information system in several universities across Surabaya, Indonesia. The purpose of this research is to find the most influential factor in learning programming algorithm using a quantitative approach. The…
Descriptors: Mathematics Skills, Thinking Skills, Programming, Information Technology
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Donchev, Ivaylo – Informatics in Education, 2013
C++ is the most commonly used language in introductory and intermediate programming courses in Bulgarian universities. In recent years this language has developed greatly. Its abstractions are more flexible and affordable than ever before. Such great number of changes are related to the launch of the new standard (known as C++11) that we have…
Descriptors: Foreign Countries, Programming Languages, Information Science Education, Computer Science Education
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Xinogalos, Stelios; Satratzemi, Maya; Malliarakis, Christos – Education and Information Technologies, 2017
Teaching and learning programming constitutes a challenge. Although several teaching approaches and programming tools have been proposed, it seems that they have limited impact on classroom practice. This article investigates students' perceptions on five educational programming environments that are widely used and the features that any…
Descriptors: Computer Science Education, Programming, Introductory Courses, Student Attitudes
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Mironova, Olga; Amitan, Irina; Vendelin, Jelena; Vilipõld, Jüri; Saar, Merike – Interactive Technology and Smart Education, 2016
Purpose: This paper aims to present a teaching approach to achieve the most personal support for students with different backgrounds and preferences in studying an Informatics course. Design/Methodology/Approach: The presented methodology is based on the main principles of flexible and blended learning. The authors considered three main aspects:…
Descriptors: Electronic Learning, College Freshmen, Information Science Education, College Instruction
Mironova, Olga; Amitan, Irina; Vendelin, Jelena; Vilipõld, Jüri; Saar, Merike – International Association for Development of the Information Society, 2015
The present paper introduces some strategies used in teaching an Informatics course for non-IT first year university students. The strategies were developed during several years, using the main principles of flexible and blended learning. The methodology has been based on the results of experiments with students from social sciences, economics and…
Descriptors: Electronic Learning, College Freshmen, Information Science Education, College Instruction
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Cole, Anne; And Others – Gender and Education, 1994
Examines possible reasons for a gender bias toward males and against females studying computing at the secondary school level in Scotland. Recommendations for improvement are provided for the following areas: (1) access to the curriculum, (2) course design, (3) teachers' attitudes and teaching styles, (4) language, (5) assessment issues, and (6)…
Descriptors: Access to Education, Computer Science Education, Course Organization, Foreign Countries