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Contribution: A first-year programming course was redesigned with a large, open-ended robotics project. The course design aligns with best practices for promoting development of students’ self-efficacy in solving ill-structured software design problems. Background: From Jonassen’s theory, problem-solving outcomes are dependent on the problem structure, complexity, and representation; and the characteristics of the solver. These characteristics are diverse, including knowledge, familiarity, and psychometric qualities of the solver (e.g., self-efficacy and motivation). Thus, better problem-solving outcomes are dependent on the development of these traits, and on the problem characteristics. Intended Outcomes: Pre-2010, course learning activities and assessments overly focused on syntax. The course was redesigned with a focus on ill-structured problem solving and design in high-fidelity problem domains. Application Design: Complex and ill-structured lecture examples, assignments, and exams were redesigned to reinforce the importance of software design and problem solving. An open-ended cornerstone project using robotics was added as a structured means of providing students practice with solving ill-structured and open-ended problems. The assignment and exam questions, with the course cornerstone project, achieve instructional alignment in the course. Findings: The results show that students’ self-efficacy improved from start to end of term. The course design achieves several objectives: 1) students learned the requisite programming skills; 2) students developed their self-efficacy in programming and design; and 3) students demonstrated strong problem-solving outcomes. [ABSTRACT FROM AUTHOR]

Contribution: A semester-long, open-ended design project was implemented to promote intellectual development of first-year students while reinforcing event-driven/procedural programming principles. This paper describes this approach, and an evaluation strategy using Perry’s model for intellectual development. The results show that students can reach the relativism stage of Perry’s model in their first year of studies. Background: Students must move beyond a dualistic worldview to be engineers. Felder and Brent provided a list of recommendations to promote this type of intellectual development in students; active learning strategies strongly align with these recommendations. While active learning is common in programming courses (sometimes taking the form of project-based learning), they are typically tightly controlled by the instructor, and limited in scope (both in time and complexity), potentially reducing their impact on students. Intended Outcomes: This course and term-long project provided students a supportive environment in which to develop their decision-making skills, and promoted their intellectual development through Perry’s stages related to software design. Application Design: Aligned with Felder and Brent’s recommendations and Kuh’s High Impact Practices, a course was built to: 1) teach students procedural programming, with 2) a focus on software design and open-ended problem solving, while maintaining 3) a supportive environment for skill acquisition. Findings: A mixed methods study showed the majority of students align themselves with the relativism stage of intellectual development at the end of the course. This study also illuminated the decision-making processes of teams of students in a first-year software design course. [ABSTRACT FROM AUTHOR]

Web-based instruction shows great promise toward enriching the student learning experience. One particular area of interest is providing tutorial material and practice problems online so that classroom lecture time can be better utilized. However, the time and cost to develop full tutoring systems can be prohibitive. The project presented in this paper shows that low-cost online modules can be developed to complement existing course delivery methods. The key to the design is limiting the type of tutoring and focusing on instructional challenges involving the repetition of concepts that are introduced in the course lectures. For introductory programming courses, these challenges primarily involve the difficulties inherent in learning the syntax of a particular programming language and gaining sufficient familiarity with programming concepts, such as loops, conditional statements, and simple algorithms. The set of online modules was developed to reduce the need for repetition of these concepts during lectures. Thus, students benefit as they can gain knowledge and comprehension of these concepts at their own pace as they actively engage the tutorials and self-check exercises. The modules were used as an enhancement for an introductory programming course taught in C++ to first year university students, some of whom had little or no programming experience. Feedback from students and instructors shows that the modules were useful and aided student learning. [ABSTRACT FROM AUTHOR]