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This paper presents a 10-year review study that focuses on the investigation of the use of computer card games (CCGs) as learning tools in Computer Science (CS) Education. Specific search terms keyed into 10 large scientific electronic databases identified 24 papers referring to the use of CCGs for the learning of CS matters during the last decade. The findings revealed that the CCGs reported by the reviewed papers were used for the learning of diverse CS issues. The motivation behind the use of the aforementioned CCGs was based on: (a) students' familiarity with the CGs at hand, so that they might focus on the construction of their simulation, (b) the fact that, the logic of CGs is suitable for the teaching of various CS concepts, and (c) CCG-play as a motivational activity to engage learners in their learning. CCGs were used in two ways: as CCG-construction context based on supportive data provided by educators, and as CCG-play educational tools. The constructivist learning approach was implied behind the design and use of most of the CCGs reported in the articles reviewed. Evaluation of some CCGs also provided positive results. [ABSTRACT FROM AUTHOR]

To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age children, with the intention to engage children and increase interest, rather than to formally teach concepts and skills. What is the educational quality of existing Computer Science resources and to what extent are they suitable for classroom learning and teaching? In this paper, an assessment framework is presented to evaluate the quality of online Computer Science resources. Further, a semi-systematic review of available online Computer Science resources was conducted to evaluate resources available for classroom learning and teaching and to identify gaps in resource availability, using the Australian curriculum as a case study analysis. The findings reveal a predominance of quality resources, however, a number of critical gaps were identified. This paper provides recommendations and guidance for the development of new and supplementary resources and future research. [ABSTRACT FROM PUBLISHER]

This paper proposes a scaffolded concept mapping strategy, which considers a student's (high or low) prior knowledge, and provides flexible learning aids (scaffolding and fading) for reading and drawing a concept map. The goal is that the whole class should progress in synchronized fashion through this strategy, with each student achieving meaningful learning. The scaffolding is tailored to the student's needs, with various levels of support. The increasing demand for scaffolding, and its constant evolution, means that software aids are needed. The authors adopted a systematic instructional design, with associated software, to create a learning environment that supports the execution of the strategy. The paper also investigates whether this strategy improved student learning for 54 undergraduates in a database management system course. The results indicate that the students who used the strategy had better learning achievements than those who only experienced traditional lectures. Moreover, the implementation of the strategy received positive student feedback. [ABSTRACT FROM AUTHOR]

Informatics or computer science (the terms informatics and computer science are used as synonyms in this paper) in Austrian secondary schools is often considered “difficult” and “not interesting” because of mainly mathematical and economical contents. But informatics is much more; it is used in almost every part of the working life and can also cooperate with every subject at school. It offers a wide range of possibilities for COOL (COoperative Open Learning), an Austrian teaching model based on the Dalton Plan that provides also cooperation between different subject matters. Besides the COOL concept this paper describes some ideas for cooperation between informatics and foreign languages at secondary schools and at University level besides just ICT (Information and Communication Technology) or computer-assisted language learning. The presented tasks are part of the project “COOL Informatics” (according to COoperative Open Learning) that aims at developing COOL teaching material based on neurodidactical (Neurodidactics is a relatively young research field that combines the findings of brain research, pedagogy, cognitive psychology and other related fields.) principles for informatics and cross-curricular cooperation from primary school up to University. On the basis of the developed material the following main research questions of the project shall be examined in the course of the next school year: (1) Can COoperative Open Learning methods help to enhance learning? (2) Can learning be enhanced by considering neurodidactical principles in the design of teaching material and in the classroom? As the first test phase of the developed material is still in progress the evaluation is not available at the moment. But the first informal feedback of a vocational school and a programming course at the University shows that it is worth fostering COoperative Open Learning and cross-curricular cooperation. [Copyright &y& Elsevier]

The issue of plagiarism is discussed in the context of university education in disciplines related to computing. The focus is therefore mainly on software plagiarism. First, however, a case is made for the claim that the most important reason that plagiarism cannot be tolerated lies in the essence of the concept of a university as it is rooted in the Western cultural tradition. The main contribution of this paper is in providing firsthand insight into students' views on some of the delicate questions related to student plagiarism. However, this paper presents views from both sides of the question, including the views of staff members. This paper is quite unique in that it is coauthored by students who provide independent comments and recommendations. [ABSTRACT FROM PUBLISHER]

Hardware-based courses in computer science studies require much effort from both students and teachers. The most important part of students' learning is attending in person and actively working on laboratory exercises on hardware equipment. This paper deals with a specific group of students, those who are marginalized by not being able to regularly attend lessons and perform the laboratory exercises. This group of “busy students” includes older students, and those who travel, are employed or are parents. In particular it describes how such students achieved impressive results in a hardware-based course by using Open Educational Resources (OER). These facilitated students' learning process and gave busy students the opportunity to organize their learning time so as to work on the hardware courses remotely from home when they had time and opportunity. The results of the evaluation show significant improvements, both in grade distribution and course throughput, after implementing the new Open Educational Resources approach. [ABSTRACT FROM AUTHOR]

This paper describes a one-year introductory robotics course sequence focusing on computational aspects of robotics for third- and fourth-year students. The key challenges this curriculum addresses are scalability, i.e., how to teach a robotics class with a limited amount of hardware to a large audience,student assessment, i.e., how to assess the students' success on robotic design and programming assignments, and depth versus breadth, i.e., how to down-select content from the interdisciplinary field of robotics to computer science students. This is achieved by combining simulation-based laboratory assignments, which can be conducted anywhere and anytime, with compatible hardware devices that allow a seamless transition from simulation to real hardware, and a focus on performance-based assessment with an open-ended final project/competition. Content learning and retention is assessed for a subset of students who successfully went through the proposed curriculum. All class materials as well as hardware—in particular, a low-cost, highly articulated robotic arm developed for teaching advanced robotics concepts—are open-source and available online. [ABSTRACT FROM PUBLISHER]

Teaching larger software engineering project courses at the end of a computing curriculum is a way for students to learn some aspects of real-world jobs in industry. Such courses, often referred to as capstone courses, are effective for learning how to apply the skills they have acquired in, for example, design, test, and configuration management. However, these courses are typically performed in small teams, giving only a limited realistic perspective of problems faced when working in real companies. This paper describes an alternative approach to classic capstone projects, with the aim of being more realistic from an organizational, process, and communication perspective. This methodology, called the company approach, is described by intended learning outcomes, teaching/learning activities, and assessment tasks. The approach is implemented and evaluated in a larger Master's student course. [ABSTRACT FROM AUTHOR]

An intelligent genetic algorithm (IGA) is proposed to solve Japanese nonograms and is used as a method in a university course to learn evolutionary algorithms. The IGA combines the global exploration capabilities of a canonical genetic algorithm (CGA) with effective condensed encoding, improved fitness function, and modified crossover and mutation. In this paper, the condensed encoding ensures that the chromosome is a feasible solution in all rows for Japanese nonograms. In the reconstruction process of a Japanese nonogram, the numbers in the left column are used as encoding conditions, and the numbers in the top row with the improved fitness function are employed to evaluate the reconstruction result. From the computational experiments, the proposed IGA approach is applied to solve Japanese nonograms effectively, with better results than using a CGA. The students of the Department of Computer Science, National Pingtung University of Education, Taiwan, have gained practical experience of applying evolutionary algorithms to solve Japanese nonograms using both the proposed IGA and a CGA. The students learn that the IGA can find the right solution of the puzzle effectively, but the CGA cannot. [ABSTRACT FROM PUBLISHER]

The authors conducted a qualitative interview-based study to reveal students' misconceptions about state in sequential circuits. This paper documents 16 misconceptions of state, how students' conceptions of state shift and change, and students' methodological weaknesses. These misconceptions can be used to inform and direct instruction. This study revealed a need for the development and adoption of standard terminology and a need to focus digital logic instruction upon a central concept of information encoding. In addition, these misconceptions will serve as the basis for the creation of standard assessments called concept inventories. A concept inventory will provide rigorous and quantitative metrics to assess the effectiveness of new teaching methods. [ABSTRACT FROM PUBLISHER]

Computer science education should not be based on short-term developments but on content that is observable in multiple domains of computer science, may be taught at every intellectual level, will be relevant in the longer term, and is related to everyday language and/or thinking. Recently, a catalogue of central concepts for computer science education such as algorithm, computer, and data has been empirically determined. This paper now concentrates on central processes relevant for computer science education. Experts of computer science rated 44 general-education processes regarding four criteria. By using a cluster analysis approach the following central processes for computer science education have been identified: problem solving and problem posing, analyzing, generalizing, finding relationships, classifying, and investigating. [ABSTRACT FROM AUTHOR]