In this Experience Report, we describe a semester-long course in which university students develop original software products to teach K--12 learners ideas in artificial intelligence (AI) and machine learning (ML). The university students develop their knowledge of AI/ML, build expertise in software development, and gain skills in education research. We test the educational software tools with K--12 learners at ''AI Expos'' held at partner public schools. We teach our university students about human-subjects research and collaboratively obtain IRB approval for the school-based work. We develop pre/post surveys and conversation questions for the K--12 participants. Our students instrument their software tools to gather live interaction data from the K--12 student use. The university students complete final course papers which describe their tool design and present evidence of student understanding of AI/ML concepts based on the data they have gathered. Students of the course often continue their scholarship beyond the semester, successfully submitting their work to conferences. We are developing a growing collection of software tools to teach AI/ML that are available for use by curriculum developers. For many students, the course provides their first opportunity to create a working software product used by others; seeing others use one's system is deeply satisfying and motivational. The course also provides a full-cycle research experience, including experimental research design, data collection, analysis, and writeup; nearly all students gain their first introduction to educational research in the course. This paper presents the university course design and our insights from teaching four iterations of the course.

This innovative practice paper explores the varied perspectives of a computing faculty member and a group of instructional designers, who partnered to revise courses to increase active learning practices and integrate cross-disciplinary skills and dispositions into two face-to-face computing courses (CS 1 and CS 2), as part of a larger, grant-funded systemic change effort. The instructional design team members varied in terms of level of formal educational experience in engineering, computing, and instructional design

This work-in-progress research paper shares the findings of a survey of computing professionals regarding the importance of various dispositions on the job. Survey findings from recent graduates also include their perception of how well each disposition was covered in their undergraduate courses. Dispositions are beliefs, attitudes, or values, such as being ethical, being persistent, and valuing collaboration. Dispositions impact whether individuals will apply their knowledge and skills appropriately in any given situation. There is increasing recognition of the importance of dispositions in the realm of computing education, as evidenced by recent computing curricular guidelines (e.g., IT2017 and CC2020). However, few existing studies of professionals explicitly discriminate between dispositions and other types of competencies (e.g., cross-disciplinary or “soft” skills). Furthermore, little research has been focused on the degree to which professionals believe that dispositions have been adequately covered by computing education in the United States. This study will present the findings of a survey of computing professionals, utilizing items based on on a list of 30 dispositions derived from earlier studies. It will present practitioners' perceptions of the importance of each of the 30 dispositions and will also present the satisfaction recent graduates (who have graduated with an undergraduate degree within the last 5 years) have with the coverage of these dispositions during their undergraduate experience. Findings of this paper may reveal not only of the importance of dispositions in general, but which dispositions are most important, and which are most or least covered in current educational programs. The research team recommends that higher education administrators, curriculum designers and individual faculty members use the data-informed disposition list, in conjunction with college/university and departmental vision and values, to select a small number of dispositions to purposefully incorporate across their program. Findings may also be of interest to curricular guideline committees and scholars interested in dispositions, competency-based education, character education, or virtue ethics.

Competencies are knowledge, skills, and dispositions that enable professionals to successfully perform a goal-oriented task. A traditional education model focuses primarily on presenting and assessing knowledge, with student performance represented by grades. The Competency-Based Education (CBE) model focuses on each student developing and demonstrating knowledge, skills, and dispositions. This implies a difference in the approach towards curriculum (content), pedagogy (teaching methods), and assessment. This workshop will introduce basic concepts of competencies and CBE. We will present a competency list derived from research on computing professionals' experiences. Participants will develop a spiral curriculum and (re)design a course to purposefully integrate cross-disciplinary skills (e.g., communication) and dispositions (e.g., perseverance), along with computing skills. Takeaways will include: (1) an understanding of what competencies and CBE are, and what pedagogical and assessment approaches may align with CBE; (2) a document that integrates competencies across a spiral curriculum; and (3) a plan for (re)designing one of their courses. Collaborative ideation will be used to help generate ideas for each participant's unique context and goals. Higher education faculty/instructors and administrators who would like to learn more about competencies and apply CBE practices to their own program/course will find the most benefit from this workshop. Multiple people from the same program are encouraged to attend, allowing them to consider how they can plan for integrating competencies across their program-level curriculum. Please bring internet-enabled laptops/comparably sized devices, choose a course to (re)design, and have access to relevant course materials.

This paper explores Computing and Engineering (C&E) educators' perceptions about dispositions and investigates their readiness to integrate dispositions into their teaching. Dispositions are the underlying beliefs, attitudes, and values that influence how individuals apply their knowledge and skills. Employers recognize the importance of dispositions in the workplace, yet in C&E education the cultivation and assessment of dispositions is not frequently emphasized. Recent guidelines and frameworks in C&E education require dispositional competencies. However, implementing these guidelines requires pedagogical and curricular transformations, including authentic teaching and learning experiences and innovative assessment techniques. This study aims to address an important gap in C&E education by investigating educators' perceptions and readiness for integrating dispositions into curricula, thereby contributing to the ongoing efforts to align educational programs' objectives with industry needs to foster graduates' success in their careers. This work is guided by the Agency Influence Framework, adapted to incorporate educators' worldview (epistemology) in addition to their beliefs, abilities, and motivations towards their readiness for change. The study provides preliminary insights and serves as a foundation for future research in educators' perception about dispositions.

Background and Context. Dispositions are personal qualities including values, beliefs, and attitudes that impact an individual's actions and behaviors. Dispositions help a person identify why and when things need to be done and motivate them to follow through in action using their knowledge and skills. A person may have the appropriate skills and knowledge to perform a task and yet may not be able to perform due to the lack of suitable disposition. Objective. As part of a larger multi-institutional project aimed at improving computing education through a competency-based approach, we plan to create a research-informed competency model that includes knowledge, skills, and dispositions valued by computing professionals in the field. The objective of this paper is to report our findings on dispositions based on the National Research Council (NRC) framework. Method. We collected data from conducting a systematic literature review (SLR) and interviewing computing professionals from the United States. For the SLR, we started with 4949 articles from prominent databases (ERIC, SCOPUS, ACM, IEEE) which were filtered down to 52 research papers using rigorous inclusion-exclusion criteria. For conducting the semi-structured interviews, we used criterion and chain-link sampling to recruit 31 computing professionals, including software developers, network administrators, systems analysts, web developers, engineering managers, and others. Findings. Based on the aggregate findings from the SLR and interviews, in this paper we present the dispositions that are deemed necessary by computing professionals or employers to any computing career. The dispositions were categorized into the themes of Collaborative Orientation, Conscientiousness, Intellectual Openness, Self-Regulation, and Lifelong Learning Orientation. Implications. We discuss the importance of incorporating dispositions in computing curricula, interrelationship between skills and dispositions, and possible pedagogical techniques that can be used to cultivate dispositions.