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1. Jigsaw: A Tool for Decomposing and Planning Programming Problems

   https://doi.org/10.1109/VL/HCC60511.2024.00034  

   Reichert, Heidi; Tabarsi, Benyamin T; Price, Thomas; Barnes, Tiffany (September 2024, IEEE)

   Many students struggle with decomposition and planning despite the necessity of these skills in computing education. Hence, more tools are needed to scaffold these processes. In this paper, we present Jigsaw, a standalone visual planning tool to help students practice decomposition and planning before writing code. Jigsaw allows students to compose a solution to a new problem based on previously seen “patterns,” such as the accumulator pattern for summing values or the filter pattern for conditional input selection. Students can connect these patterns together to see how data flows between them and define a solution plan. Jigsaw’s goal is to scaffold students’ planning processes by presenting relevant patterns for a given problem. Using a within-subjects design, we evaluated Jigsaw by observing 17 undergraduate students as they planned for and implemented two programming assignments. The experimental task included Jigsaw, and the control task did not. This design aimed to understand how the tool impacted students’ planning and programming process. Subsequently, we conducted interviews with these students regarding their planning and programming experiences with and without Jigsaw. Many students explicitly mentioned they would employ Jigsaw for planning and appreciated the scaffolding it provided. Students also admired the Jigsaw’s novelty in visualizing programming problems. We conclude with our design takeaways and recommendations for future work. 

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2. Board 208: Achieving Active Learning through Collaborative Online Lab Experiences

   https://doi.org/10.18260/1-2--42620  

   Yoo, Julia; Sayil, Selahattin; Tcheslavski, Gleb (June 2023, ASEE Conferences)

   In engineering education, laboratory learning that is well aligned with core content knowledge is instrumental as it plays a significant role in students’ knowledge construction, application, and distribution. Learning in laboratories is interactive in nature, and therefore students who learn engineering through online platforms can face many challenges with labs, which were frequently documented during the recent pandemic. To address those reported challenges, innovative online lab learning modules were developed and learning strategies were implemented in five courses in electrical engineering, Circuits I, Electronics I, Electronics II, Signals and Systems, and Microcomputers I, through which students gain solid foundation before students take on senior design projects. Lab modules with open-ended design learning experience through using a lab-in-a-box approach were developed to allow students to solve lab problems with multiple approaches that allow problem solving independently and collaboratively. Because this innovative lab design allows problem solving at various cognitive levels, it is better suited for concept exploration and collaborative lab learning environments as opposed to the traditional lab works with a “cookbook” approach that tend to lead students to follow certain procedures for expected solutions with the absence of problem exploration stage. In addition to the open-ended lab modules, course instructors formed online lab groups through which students shared the entire problem-solving process from ideas formation to solutions through trial and error. To investigate the effectiveness of the open-ended online lab learning experiences, students in all courses were randomly divided into experimental and control groups. Students in the control group learned in labs through learning materials that are aligned with core concepts by following a completed given procedures students in the experimental group learned through inquiry-based labs learning materials that required them to work in teams by integrating core concepts together to find solutions with multiple approaches. To maximize the online lab learning effect and to replicate the way industry, commerce and research practice, instructor structured cooperative learning strategies were applied along with pre-lab simulations and videos. The research results showed that generally students in the experimental group outperformed their counterparts in labs especially with more advanced concept understanding and applications, but showed mixed results for the overall class performance based on their course learning outcomes such as quizzes, lab reports, and tests. Further, survey results showed that 72% of students reported open-ended lab learning helped them learn better. According to interviews, the initial stage of working with team members was somewhat challenging from difficulties in finding time to work together for discussion and problem solving. Yet, through many communication tools, such as course LMS and mobile apps they were able to collaborate in lab problems, which also led them to build learning communities that went beyond the courses. 

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3. Investigating the Impact of Context Choice on Learning Experience via Immersive Simulations in an Object-Oriented Programming Course

   Ozden, S.; Negahban, A.; Ashour, O.; Knight, D. (January 2023, ASEE Annual Conference proceedings)

   Researchers have looked into ways to make computer science assignments more engaging, practical, and beneficial to students to improve learning outcomes by increasing student appeal. Offering a pool of assignments and allowing students to choose their preferred assignments is considered as a potential method for improving learning outcomes. In this paper, we investigate the effect of context choice for assignments in an object-oriented programming course that covers various topics such as object-oriented programming concepts, database design and implementation, graphical user interface design, and web application development. Students complete three immersive simulation-based learning (ISBL) modules as course assignments. ISBL modules involve technology-enhanced problem-based learning where the problem context is represented via a three-dimensional (3D), animated discrete-event simulation model that resembles a real-world system or context, in this case, we have three simulated systems/contexts around which ISBL assignments are defined: an airport, a manufacturing system, and a hospital emergency department. The research experiments involve four groups: (1) students with no choice who use the same assigned simulated system for all three ISBL assignments; (2) students with no choice who are given a different simulated system for each ISBL assignment; (3) students who can choose their preferred simulated system at the beginning but cannot change their choice for future assignments; and, (4) students who can choose at the beginning and switch between the three simulated systems for subsequent assignments. Data are collected over multiple semesters and statistical analyses are conducted to compare the four groups in terms of motivation, experiential learning, and self assessment of learning. We also conduct qualitative assessments in the form of interviews to support and explain our statistical results. 

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4. The case for metacognition support in a flipped STEM course

   https://doi.org/10.1177/03064190241255113  

   Clark, Renee_M; Guldiken, Rasim; Kaw, Autar; Uyanik, Ozge (May 2024, International Journal of Mechanical Engineering Education)

   The metacognitive strategies of planning, monitoring, and evaluating can be promoted through systematic reflection to drive self-directed, lifelong learning. This article reports on a three-year study on systematic written reflection within an undergraduate Fluid Mechanics course to promote planning, monitoring, and evaluation. Students were prompted weekly to reflect on their in-class problem-solving, classroom and exam preparation, performance, behaviors, and learning in a flipped classroom at a large southeastern U.S. university. In addition, they received intentional instruction on how to plan, monitor, and evaluate their problem-solving during class. To enable a comparative assessment, a flipped classroom without these interventions was also implemented as a non-experimental cohort. The cohorts were compared using a final exam, concept inventory, and the Metacognitive Activities Inventory (MCAI). The MCAI indicated a significantly higher positive change (pre- to post-course) in self-regulatory behavior for the experimental cohort ( p = 0.037). The weekly reflections were studied using an inductive content analysis to assess students’ self-regulatory behaviors. They were also used to investigate statistical associations between reflection content and course outcomes. This revealed that academic self-discipline via planning, monitoring one's work, or being careful and diligent may be as aligned with course performance in STEM as is practice with the problem-solving itself. The effects for the final exam in the experimental cohort were positive overall as well as statistically or practically significant for various demographic strata. These results provided evidence for the potential enhancement of course performance with metacognition support. A positive shift in students’ perspectives regarding the value of the reflection questions was observed throughout the study. Therefore, as an implementation guide for other educators, the reflection questions and any changes made in posing them to students are discussed chronologically. Overall, the study points to the desirability of providing metacognition support in a STEM course. 

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5. The Effectiveness of Synchronous vs Asynchronous Modes of Instruction in an Online Flipped Design Thinking Course

   Mohandas, L. (July 2021, 2021 ASEE Annual Conference & Exposition)

   Motivation: This is a complete paper. There was a sudden shift from traditional learning to online learning in Spring 2020 with the outbreak of COVID-19. Although online learning is not a new topic of discussion, universities, faculty, and students were not prepared for this sudden change in learning. According to a recent article in ‘The Chronicle of Higher Education, “even under the best of circumstances, virtual learning requires a different, carefully crafted approach to engagement”. The Design Thinking course under study is a required freshmen level course offered in a Mid-western University. The Design Thinking course is offered in a flipped format where all the content to be learned is given to students beforehand and the in-class session is used for active discussions and hands-on learning related to the content provided at the small group level. The final learning objective of the course is a group project where student groups are expected to come up with functional prototypes to solve a real-world problem following the Design Thinking process. There were eighteen sections of the Design Thinking course offered in Spring 2020, and with the outbreak of COVID-19, a few instructors decided to offer synchronous online classes (where instructors were present online during class time and provided orientation and guidance just like a normal class) and a few others decided to offer asynchronous online classes (where orientation from the instructor was delivered asynchronous and the instructor was online during officially scheduled class time but interactions were more like office hours). Students were required to be present synchronously at the team level during the class time in a synchronous online class. In an asynchronous online class, students could be synchronous at the team level to complete their assignment any time prior to the deadline such that they could work during class time but they were not required to work at that time. Through this complete paper, we are trying to understand student learning, social presence and learner satisfaction with respect to different modes of instruction in a freshmen level Design Thinking course. Background: According to literature, synchronous online learning has advantages such as interaction, a classroom environment, and better course quality whereas asynchronous online learning has advantages such as self-controlled and self-directed learning. The disadvantages of synchronous online learning include the learning process, technology issues, and distraction. Social isolation, lack of interaction, and technology issue are a few disadvantages related to asynchronous online learning. Problem Being Addressed: There is a limited literature base investigating different modes of online instruction in a Design Thinking course. Through this paper, we are trying to understand and share the effectiveness of synchronous and asynchronous modes of instruction in an online Flipped Design Thinking Course. The results of the paper could also help in this time of pandemic by shedding light on the more effective way to teach highly active group-based classrooms for better student learning, social presence, and learner satisfaction. Method/Assessment: An end of semester survey was monitored in Spring 2020 to understand student experiences in synchronous and asynchronous Design Thinking course sections. The survey was sent to 720 students enrolled in the course in Spring 2020 and 324 students responded to the survey. Learning was measured using the survey instrument developed by Walker (2003) and the social presence and learner satisfaction was measured by the survey modified by Richardson and Swan (2003). Likert scale was used to measure survey responses. Anticipated Results: Data would be analyzed and the paper would be completed by draft paper submission. As the course under study is a flipped and active course with a significant component of group work, the anticipated results after analysis could be that one mode of instruction has higher student learning, social presence, and learner satisfaction compared to the other. 

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