Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

Glitchspace:teaching programming through puzzles in cyberspace

There is an increasing need to address the player experience in games-based learning. Whilst games offer enormous potential as learning experiences, the balance between entertainment and education must be carefully designed and delivered. Successful commercial games tend to focus gameplay above any educational aspects. In contrast, games designed for educational purposes have a habit of sacrificing entertainment for educational value which can result in a decline in player engagement. For both, the player experience is critical as it can have a profound effect on both the commercial success of the game and in delivering the educational engagement. As part of an Interface-funded research project Abertay University worked with the independent games company, Space Budgie, to enhance the user experience of their educational game Glitchspace. The game aimed to teach basic coding principles and terminology in an entertaining way. The game sets the player inside a Mondrian-inspired cyberspace world where to progress the player needs to reprogramme the world around them to solve puzzles. The main objective of the academic-industry collaborative project was to analyse the user experience (UX) of the game to increase its educational value for a standalone educational version. The UX design focused on both pragmatic and hedonic qualities such playability, usability and the psychological impact of the game. The empirical study of the UX design allowed all parties to develop a deeper understanding of how the game was being played and the initial reactions to the game by the player. The core research question that the study sought to answer was whether when designing an educational game, UX design could improve philosophical concepts like motivation and engagement to foster better learning experiences.</p

Computational Thinking Integration into Middle Grades Science Classrooms: Strategies for Meeting the Challenges

This paper reports findings from the efforts of a university-based research team as they worked with middle school educators within formal school structures to infuse computer science principles and computational thinking practices. Despite the need to integrate these skills within regular classroom practices to allow all students the opportunity to learn these essential 21st Century skills, prior practice has been to offer these learning experiences outside of mainstream curricula where only a subset of students have access. We have sought to leverage elements of the research-practice partnership framework to achieve our project objectives of integrating computer science and computational thinking within middle science classrooms. Utilizing a qualitative approach to inquiry, we present narratives from three case schools, report on themes across work sites, and share recommendations to guide other practitioners and researchers who are looking to engage in technology-related initiatives to impact the lives of middle grades students

Unifying an Introduction to Artificial Intelligence Course through Machine Learning Laboratory Experiences

This paper presents work on a collaborative project funded by the National Science Foundation that incorporates machine learning as a unifying theme to teach fundamental concepts typically covered in the introductory Artificial Intelligence courses. The project involves the development of an adaptable framework for the presentation of core AI topics. This is accomplished through the development, implementation, and testing of a suite of adaptable, hands-on laboratory projects that can be closely integrated into the AI course. Through the design and implementation of learning systems that enhance commonly-deployed applications, our model acknowledges that intelligent systems are best taught through their application to challenging problems. The goals of the project are to (1) enhance the student learning experience in the AI course, (2) increase student interest and motivation to learn AI by providing a framework for the presentation of the major AI topics that emphasizes the strong connection between AI and computer science and engineering, and (3) highlight the bridge that machine learning provides between AI technology and modern software engineering

The future of technology enhanced active learning – a roadmap

The notion of active learning refers to the active involvement of learner in the learning process, capturing ideas of learning-by-doing and the fact that active participation and knowledge construction leads to deeper and more sustained learning. Interactivity, in particular learnercontent interaction, is a central aspect of technology-enhanced active learning. In this roadmap, the pedagogical background is discussed, the essential dimensions of technology-enhanced active learning systems are outlined and the factors that are expected to influence these systems currently and in the future are identified. A central aim is to address this promising field from a best practices perspective, clarifying central issues and formulating an agenda for future developments in the form of a roadmap

A review of the research literature relating to ICT and attainment

Summary of the main report, which examined current research and evidence for the impact of ICT on pupil attainment and learning in school settings and the strengths and limitations of the methodologies used in the research literature