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Numerous challenges in education emerge as our technology-driven society rapidly evolves and manifests more exigent requirements from engineering professionals. Higher education, nonetheless, seems to adapt to such requirements at an unequal speed, generating some tensions between industry and higher education institutions. The purpose of this paper is to share the experiences obtained through a process of assessment and redesign of a large enrollment course of programming from which the authors developed a systematic approach for course design/redesign.

A mixed method approach was deployed for data gathering and evaluation, consisting of close-ended surveys, open-ended questionnaires, information matrices and state of the art compilation. Triangulation of the information offered clear data about the necessity of curriculum redesign; therefore, a new programming course curriculum encompassed with relevant necessities in engineering and science was developed.

The authors produced a coherent and dynamic systematic path for assessment and design/redesign of course curriculum, which the authors find extremely helpful to improve negotiation processes inside higher education institutions, as it can be implemented to improve any large enrollment course curricula in engineering and science.

By following the systematic path for assessment and design/redesign of curricula the authors developed, higher education systems could embark more efficiently in the ever-challenging process of adapt their courses and programs to tackle the upcoming demands of our society.

So far, a systematic path for assessment and design/redesign of course curriculum was not published, and it supports the improvement of pedagogical approaches in academic institutions.

Seeks to argue that procedural literacy, of which programming is a part, is critically important for new media scholars and practitioners and that its opposite, procedural illiteracy, leaves one fundamentally unable to grapple with the essence of computational media.

This paper looks at one of the earliest historical calls for universal procedural literacy, explores how games can serve as an ideal object around which to organize a procedural literacy curriculum, and describes a graduate course developed at Georgia Tech, Computation as an Expressive Medium, designed to be a first course in procedural literacy for new media practitioners.

To achieve a broader and more profound procedural literacy will require developing an extended curriculum that starts in elementary school and continues through college. Encountering procedurality for the first time in a graduate level course is like a first language course in which students are asked to learn the grammar and vocabulary, read and comment on literature, and write short stories, all in one semester; one's own students would certainly agree that this is a challenging proposition.

New media scholars and practitioners, including game designers and game studies scholars, may assume that the “mere” technical details of code can be safely bracketed out of the consideration of the artifact. Contrary to this view, it is argued that procedural literacy, of which programming is a part, is critically important for new media scholars and practitioners and that its opposite, procedural illiteracy, leaves one fundamentally unable to grapple with the essence of computational media.

The purpose of this study was to investigate the effect of self-regulated programming learning on undergraduate students’ academic performance and motivation compared to traditional methods.

This study was conducted with an explanatory sequential mixed method. Participants consist of 31 undergraduate students studying in the department of computer and instructional technologies education. The students were separated into two groups as experimental (n = 15) and control (n = 16) in the robotic programming course. Academic performance tests, programming motivation scale and interview form were used as data collection tools. After collecting quantitative data, interviews were conducted with the students regarding their academic performance and motivation.

The results indicated that the self-regulated programming learning process can contribute positively to students’ academic performance and motivation compared to traditional methods. Students stated that self-regulated learning strategies can positively affect their academic performance and motivation.

In this study, a self-regulated learning support system was designed to encourage students to use self-regulated learning strategies. This study has the potential to contribute to the gap in the literature, especially as a study of adapting the phased model of self-regulated learning to programming teaching. Instructors can use the self-regulating programming learning framework by adapting it to different disciplines.

The purpose of this study is to analyse and discuss K-12 mathematics and technology teachers' perceptions on integrating programming in their teaching and learning activities, and perceptions on different programming tools.

The approach of a case study was used, with data collected from three instances of a professional development programming course for K-12 teachers in mathematics and technology.

The findings show that there are perceived challenges and opportunities with learning and integrating programming, and with different programming tools. Many teachers perceive programming as fun, but lack the time to learn and implement it, and view different programming tools as both complementary to each other and with individual opportunities and challenges.

The practical implication of the research is that it can provide guidance for teachers and other stakeholders that are in the process of integrating programming in K-12 education. Further, the research provides useful information on teachers' experiences on working with different programming tools.

The social implication of the research is that the overall aim of the nation-wide integration process might not succeed if the challenges identified in this study are not addressed, which could have negative effects on the development of students' digital competence.

The value of the research is that it identifies important challenges and opportunities for the integration of programming. That is, that many teachers perceive the different programming tools available as complimentary to each other, but are hesitating about what is expected of the integration. Findings could also be valuable for future course design of the teacher professional development.

Although many universities have begun to provide artificial intelligence (AI)-related courses for students, the influence of the course on students' intention to participate in the development of AI-related products/services needs to be verified. In order to explore the factors that influence students' participation in AI services and system development, this study uses self-efficacy, AI literacy, and the theory of planned behaviour (TPB) to investigate students' intention to engage in AI software development.

The questionnaire was distributed online to collect university students' responses in central Taiwan. The research model and eleven hypotheses are tested using 151 responses. The testing process adopted SmartPLS 3.3 and SPSS 26 software.

AI programming self-efficacy, AI literacy, and course satisfaction directly affected the intention to participate in AI software development. Moreover, course playfulness significantly affected course satisfaction and AI literacy. However, course usefulness positively affected course satisfaction but did not significantly affect AI literacy and AI programming self-efficacy.

The model improves our comprehension of the influence of AI literacy and AI programming self-efficacy on the intention. Moreover, the effects of AI course usefulness and playfulness on literacy and self-efficacy were verified. The findings and insights can help design the AI-related course and encourage university students to participate in AI software development. The study concludes with suggestions for course design for AI course instructors or related educators.

Beginning with a detailed analysis of 24 published surveys and programmes of library and information science curricula from 1969–1975, the article discusses the professional continuity in changing courses. A particular problem is maintaining the identity of ‘core studies’ in professional curricula. The content and objectives of computer courses are listed and discussed. The coverage of the author's own survey is explained. All 17 schools in the U.K., 1 in Dublin and 13 in eastern U.S.A. and Canada were visited in 1978 involving interviews with over 130 people individually or in groups. Ten schools overseas provided further data in questionnaires. The results of the survey begin by summarising the various stated objectives for computer courses. There follows a review of the structure of such courses and the views on options in this subject. Outlining the titles, content, duration and staffing, the article reviews, with supporting tables, courses for computer appreciation, programming and library automation. Separate tables and commentary cover the data from the questionnaires. In the conclusions, it is emphasised that computing is now an essential part of professional education, though how much and for whom is not yet decided. Advanced courses will soon be needed for those wishing to specialise.

This chapter describes our innovative approach to the teaching of computer programming and writing; professors worked with students across classes united by a theme of narrative. A year-long study examined if using Alice, a three-dimensional microworld programming software that allows users to create interactive narratives, was more effective than Visual Basic (VB) in developing problem-solving abilities in first-year college students in introductory computer programming courses. Results revealed that although both the Alice and VB group showed a statistically significant (p<0.05) increase in performance for problem-solving questions related to computer programming, only the Alice group showed a significant increase in problem-solving abilities not directly related to computer programming, and an increase in student retention.

This paper aims to propose a maker’s approach to teaching an operating systems (OSs) course in which students apply knowledge of OSs to making a toy robot by focusing on input/outputs, hardware devices and system programming.

Classroom action research is involved in this study.

After the course was taught in this maker’s approach in two consecutive school years, some observations were reported. Students were enthusiastic in doing a series of assignments leading to the completion of a toy robot that follows a black line on the ground. In addition to enjoying the learning process by making tangible products, the students were excited to be able to demonstrate the skills and knowledge they learned with the robots they made.

The research results were based mainly on the instructor’s observations during the lectures and labs.

Lessons from this study can inspire other instructors to turn traditional engineering courses into maker courses to attract students who enjoy making. Industry should welcome engineering graduates to join the companies with more hands-on experiences they have gained from maker courses.

Although the maker movement has attracted much attention in K12 education, there is little research that studies how this maker spirit can be incorporated in traditional engineering courses that focus mainly on theories or software.

Including electronics and mechanical components in programming assignments would bring surprising effects on students’ motivation in learning.

In a programming course, students often need tutors' assistance to complete learning activities, as they lack enough background knowledge to complete tasks. A further problem is that without individual tutoring, the knowledge gap between students increases. Therefore, the authors have proposed an instant response learning supplement tool (IRLST) to support students' learning, in order to facilitate students' independent problem-solving skills.

The authors divided the students into two groups according to their learning styles: verbal and visual. The IRLST was used to collect and analyze the information on their usage and provide supplementary resources to facilitate their learning. The proposed system also analyzed the student usage, background knowledge and exam scores to assess their academic performance.

According to the results of statistical analysis, students' learning performance improved significantly, especially low-scoring students. Moreover, as compiler messages were not recognized, students tended to identify the same problems. Thus, it is suggested that teachers not only should focus on improving the students' syntax but also strengthening their background knowledge and debugging skills.

There are two main limitations in this study: (1) as most of the students were in the visual learning group, the size of the groups was impacted, thus it was not possible to establish a control group; (2) one specific version of the IRLST system did not send reliable advice or supplementary content occasionally.

The IRLST developed in this study can be used to provide immediate supplementary resources to help students overcoming programming problems and developing problem-solving skills.