Paper ID #39646Exploring Differences in Planning between Students with and withoutPrior Experience in ProgrammingRyan Parsons, Western Washington University Ryan Parsons has taught introductory Computer Science for 6 years at Whatcom Community College. He served as the Program Coordinator for the newly created Software Development program there. He has been working on his Master’s in Computer Science at Western Washington University, where his research focus has been on Computer Science Education.Qiang Hao, Western Washington University Associate professor of computer scienceDr. Lu Ding, University of South Alabama Dr. Lu
tool, a set ofsurvey questions were given to those students whose schedules have been made using theadvising tool. The collected survey data has been analyzed statistically to determine the tool'sefficacy from students’ perspectives. The analyzed data indicate that the students were overallsatisfied and had positive attitudes towards different aspects of the tool.MotivationIn any major, preparing an effective and error-free course plan for undergraduate students eachsemester is crucial for their timely graduation. However, various constraints may arisethroughout the student’s four-year program, which can cause uncertainties in their graduationtiming. Students also often want a clear picture of their projected graduation date, including
, Effort/Importance, Pressure/Tension, PerceivedChoice, and Value/Usefulness. It is designed based on self-determination theory [1]. Stu-dents respond on a 5 point Likert scale of “Strongly agree” to “Strongly Disagree” to thefollowing 2 questions from each subscale. “I think this class is going to be boring” and “Ithink this class is going to be enjoyable”, “I think that I am going to be pretty good at thisclass” and “This is a class that I cannot do very well in”, “I plan to put a lot of effort intothis class” and “It is important to me to do well in this class”, “I am anxious about thisclass” and “I feel very relaxed about this class”, “I feel like it is not my own choice to do thisclass” and “I feel like I am taking this class because I have
learningcommunity (FLC) with a local two-year institution to foster a collaborative community andsupport faculty in adopting APEX materials, which included helping them to consider, plan,apply, and reflect on effective practices for integrating computing into their courses. Buildingupon these pilot efforts, we are actively expanding adoption of the APEX program in severalways. First, we have begun holding summer and winter training workshops for faculty at severaladditional community colleges. Second, we are refining and improving the FLC experience aswe initiate new FLCs with these institutional partners. Finally, we will continue to assess theprogram’s efficacy through a research plan that evaluates student and faculty experiences,allowing us to optimize
the number/percent of students who have taken the adapted CS course for eachparticipating school, as well as challenges and how project personnel adapted the project to address thesechallenges. The RPP approach and our results can benefit anyone working to increase access to high-qualityCS education at the K-12 levels.Background: Senate Bill 267 charged the WV Department of Education with creating a plan to make CSavailable to all K-12 students. Bill 267 makes WV one of the first states to require all students be exposedto a variety of CS experiences throughout their K-12 career. In addition, in 2017, the state Board ofEducation mandated College and Career Readiness Standards for Student Success for grades K-12 toprepare students for seamless
becomes very important. In the paper, we will present:• The list of certifications that were carefully selected and the fields they cover: o Promoting vendor neutral certifications o Allowing customized certifications for experienced students.• The complete degree plan with the embedded certification: o When to take the certification o What SLOs should be covered in courses leading to the certification• The course developments for these certifications and how they are delivered: o Department-wide course template and resources• Resources available to the students: o Internal and external o A live and ever-expanding compiled set of resources• Practical and mock exams• Compilation of ads
slow its inclusion into this field of study. This paper proposes the Dataying framework to teach data science concepts to young children ages 4–7 years old. The framework development included identifying K–12 data science elements and then validating element suitability for young students. Six cycled steps were identified: identifying a problem, questioning, imagining and planning, collecting, analyzing, and story sharing. This paper also presents examples of data decision problems and demonstrates use of a proposed Insight- Detective method with a plan worksheet for Dataying.IntroductionThe expected growth of data science careers worldwide over the next ten years means thatstudents of all ages
fromStanford University to Hampton University students. The course description is as the following:AA 274A: Principles of Robot Autonomy I (AA 174A, CS 237A, EE 160A, EE 260A)Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. Algorithmic approaches for robot perception, localization, and simultaneouslocalization and mapping; control of non-linear systems, learning-based control, and robot motionplanning; introduction to methodologies for reasoning under uncertainty, e.g., (partiallyobservable) Markov decision processes. Extensive use of the Robot Operating System (ROS) fordemonstrations and hands-on activities.Prerequisites: CS 106A or equivalent, CME 100 or equivalent (for linear
2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is As- sociate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV. ©American Society for Engineering Education, 2023 Engaging High School Teachers in Artificial Intelligence Concepts and ApplicationsIntroduction and Justification Artificial
students withmathematical concepts necessary to learning spatial transformations and allied mathematicalrepresentations. The project will also provide the foundation for planned further research addinga language-processing component to an AI for high school students, which would be trained on alarge dataset of common high school math topics and language used by students. To ensurerigorous evaluation of the project, the research team will anticipate confounding factors so as tominimize their effects, and two learning conditions (AI-powered and non-AI) will be employedand compared with the same essential visualization and functional manipulation, thus advancinginstruction that applies across multiple STEM disciplines. The project will create a
beyond robotics including Human-Machine Teaming and Cybersecurity.IntroductionDeveloping a diverse Artificial Intelligence workforce is a critical national need 1. This isrecognized by government funding agencies 2, and there is a focus on increasing participation ofunder-represented groups3 and addressing the gender gap4. A particular interdisciplinary spaceinvolving multiple engineering disciplines, mathematics, and computer science is Swarm AI-machine learning techniques to control groups of robots (called swarms) to accomplish a task.This involves skills such as mechatronics, mechanical engineering, sensors and signalprocessing, wireless communications, computer networking, machine learning, control theory,path planning and optimization, and
foster ML self-efficacy within these three audiences,as shown in Table 1. Table 1. Lao’s Learning Outcomes Adapted from [8]Knowledge Skills AttitudesGeneral ML Knowledge ML Problem Scoping InterestKnowledge of ML Methods ML Project Planning Identity and CommunityBias in ML Systems Creating ML Artifacts Self-EfficacySocietal Implications of ML Analysis of ML Design Intentions and Results Persistence ML Advocacy Independent Out-of-Class LearningWhile limited
perform file operations such as saving, viewing, and editing within their individual containers. 3. Progress Tracking and Reporting Component: This component tracks and reports student progress and performance metrics to the analytics service in a timely manner.Feedback ServiceThe Feedback Microservice offers APIs that facilitate communication and exchange of feedbackbetween students and course staff regarding their progress and performance in the assigned labs.This microservice enables students to request assistance from the course staff during milestones,and for the course staff to provide constructive feedback to support student progress andlearning.Functionality Testing and VerificationThe test plan for Lab Container is designed
according to some faculty. One instructor said it was alot of work to administer the HyFlex course, especially when they had multiple courses runningin separate modalities. The instructor noted that it was like teaching two separate classes eventhough the content was the same. The instructional mode made the courses almost independentof each other as technology issues had to be addressed especially when group work and classdiscussions were considered. In contrast, for another instructor it was minimal work to run aHyFlex course after the initial planning, training, and technology was implemented. Theseinstructors tended to have extensive experience teaching with online components, microphones,laptops, and recordings of class, prior to teaching a
this study were these students’ plan of preparation to practice fortechnical interviews, and whether anxiety played an integral role during their participation fortechnical interviews. From this work, it was found that anxiety was an underlying factor thatcould determine a student’s overall performance in an interview. It was also concluded that asstudents become more exposed to technical interview practices their anxiety decreases, while inturn their overall performance increases.3. MethodThe objective of the interactive whiteboard problem solving study is to examine the students’ability to conduct critical thinking, verbally communicate their ideas, and create solutions to agiven problem. So far, this assessment has been conducted over a
the shorter videos enabled them tofocus on one concept at a time while taking breaks in between the videos. On the other hand, 15%of the participants went in favor of longer videos and wished that all modules were offered in along video format. Their reasoning was mainly about longer videos enabled them to plan a strongercommitment to finish the module while connecting all concepts together without the need to jumpbetween videos or spreading them over multiple viewing sessions. Finally, 46% of the participantsindicated that they did not find a significant difference in preparing and studying long videos vs.the shorter one. They acknowledged that the count and length of videos of each module were rightfor the nature of the presented topics
University. From 2014 to 2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is As- sociate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV. ©American Society for Engineering Education, 2023 Analysis of Artificial Intelligence Edge Computing Devices for Undergraduate Computer Science and Engineering LabsAbstract
data-driven solutions using skills to collect the data, represent the data, and find insightinto the analysis. Making, tinkering, and mixed methods can be used for multiple other types ofprojects. The third level of the model is creating solutions. Almost all roles and solution-buildingrequire understanding the problem; preparing and planning; building; checking the solutions;and sharing the solutions. The five proposed steps were recommended with the expectation thatthe foundation necessary for each has been attained. For example, understand the problem bybreaking down complex problems into smaller parts, creating algorithms to solve the smallerproblems, and planning to save time and resources. PTD frameworks should be integrated
anonymity [8]. However, thereare no tools, to the best of our knowledge, that can allow anonymous grading for in-class paperexams and quizzes which form a majority of exams on campus.Approach and Plan of WorkOur proposed work has three distinct components listed below.● Development of a mobile system that helps instructors perform anonymous grading for paper exams● Data collection in courses and statistical analysis to understand grade differences using anonymous and non-anonymous grading.● Self-reporting data collection to understand the student and faculty perspective on anonymous grading.Mobile system that helps instructors perform anonymous gradingThe proposed workflow for the mobile application of anonymous grading is shown in figure 1
users to upload image files containing faces tobe identified, or access web cameras to stream and capture face images. For the uploaded and/orcaptured images, the backend of this module will first extract the facial landmarks of the faces[2]. If the face is identified, the name of the face with its related information from the applicationdatabase will be returned to the frontend and displayed. For the faces not identified by thesystem, users can name those faces for future usage.3.0 EvaluationThe prototype was verified through testing in order to determine whether it complies with thedesign specifications. A test plan was constructed and its details are provided in Appendix A.The prototype is tested for the functional requirement to determine
positive effect in solving puzzles in the pirate game.4 DiscussionWe have presented the design of two games that have found success in the classroom to helpunderstand university level linear algebra curriculum. The games were designed to work with anexisting inquiry oriented curriculum and demonstrated that games can be successfully integratedwith inquiry oriented pedagogy. In the next steps we plan to run a mixed-methods basedproficiency measuring study that looks at students of linear algebra from multiple demographics(novice/experienced; undergraduates/pre-service teachers) and collect data on decision choicesmade in both the bunny and pirate games. We are particularly interested in learning how thedecisions evolve with game repetition and if
RVfpga EdX course and the workshops that we havegiven internationally. We conclude by describing future improvements we plan to implement thisyear and by summarizing the course’s features and what we have accomplished.2. RVfpga Course Goals, Overview, and StructureThe RVfpga course aims to enable users to understand and use a commercial RISC-V core andsystem and then learn how to extend the system for learning, research, and experimentation.Users are expected to have a fundamental understanding of digital design and computerarchitecture in general before beginning the course. Such topics are covered in many textbooks,including Digital Design and Computer Architecture: RISC-V Edition [12]. The RVfpga coursethen builds on and expands those topics
tasks. It “involves solving problems,designing systems, and understanding human behavior” [3], all part of daily routine like trying tofigure out how to dress up or what to do when the water pipe in the bathroom breaks. Theseexamples involve identifying the problem and thinking of the best possible solution, breaking theoriginal problem into smaller tasks, reformulating the problem in a way it reminds us ofsomething we are familiar with, planning, learning, and developing an action plan in the presenceof uncertainty [3].Wing [4] comments that one of the most important aspects of CT is the concept of abstraction todefine patterns previously identified, generalize, and do a parametrization. The capacity toabstract is precisely what will allow
. This study showed apotential for black women to effectively identify with CS. One reason could be due to the natureof CS and the variety of spaces it provides to accommodate one’s interest. Moreover,establishing settings in CS that foster the equity and inclusion of black women may be vital toimprove representation. Aforementioned, support systems and mentorship opportunities couldassist in this effort, which could promote increased representation of black women inadministrative, managerial, and related positions of leadership in CS that could further motivateyounger black women to aspire to pursue careers in this field.To expand upon this study, it is the plan to explore specific problems and hurdles that racial,institutional, educational
planning lessons, educators must account for the applicable digital environment tocreate a comprehensive and effective learning experience for children [106]. The Facilitator element (Figures 3 and 4a) refers to any adult, such as familymembers, friends, or educators, who acts as a gatekeeper for technology for young children.Their determination of children’s technology access should be in accordance with appropriateselection, usage, integration, and evaluation strategies."Stakeholders are responsible forassessing educators’ capabilities and providing professional development training thatincludes “in-depth, hands-on technology exercises, ongoing support for the latest technologytools, and examples of successful practices to meet outcome
represents a significant investment [3] and[4], and the obsolescence time of many of these equipment's is relatively short, however, they areessential to guarantee the training of young people in STEM areas [2].In the case of schools, it has not been possible for the Dominican Republic to establish a plan thatallows for the massive and consistent incorporation of STEM contents into basic and middleeducation, despite several efforts to steer national education towards offering the competenciesthat this methodology provides [5]. For the public sector, the greatest results achieved are forpolytechnic high schools, which, thanks to strategic alliances with sectors such as the CatholicChurch or other institutions, have managed to establish policies
implementation of thedeveloped embedded stackable accelerated credentials.References[1] F. Khan (PI), M. Quweider (CO-PI), K. Crouse (CO-PI), D. Ortiz (CO-PI), AcceleratingCredentials of Purpose and Value Grant Program, THECB NOGA Award #2020-GE-84425,The University of Texas Rio Grande Valley (UTRGV), January 2022.[2] Texas Higher Education Coordinating Board (THECB), TX60x30 project,https://reportcenter.highered.texas.gov/agency-publication/miscellaneous/thecb-60x30-strategic-plan, [Accessed Feb. 28, 2023].[3] BS Cyber Security Curriculum, Informatics and Engineering Systems Department, TheUniversity of Texas Rio Grande Valley (UTRGV),https://www.utrgv.edu/cyberspace/academics/undergraduate/bscs, [Accessed Feb. 28, 2023].[4] Texas Senate Bill
theyhave benefited from it regarding how ready they are to approach the homework for that week inthe course. In the future, it would be interesting to see if by changing to more industry standardways of planning code such as the use of pseudocode or flowcharts would impact the studentoutcomes.6.0 Works Cited[1] J. P. Penny and P. J. Ashton, "Laboratory-style teaching of computer science," ACM SIGCSE Bulletin, vol. 22, no. 1, pp. 192-196, 1990.[2] O. Hazzan, N. Ragonis and T. Lapidot, Guide to Teaching Computer Science, Cham: Springer, 2020.[3] M. Prince and R. Felder, "The Many Faces of Inductive Teaching and Learning," J. College Science and Teaching, vol. 36, no. 5, pp. 14-20, 2007.[4] M. Prince and R. Felder, "Inductive Teaching and
interpretations, we propose conducting a qualitative study byinterviewing students. We plan to couple current exploratory study with performance data andsubmitted queries to more strongly identify successful problem-solving patterns and groups ofstudents in need of support. Ultimately, we aim to develop an automated analysis tool forinstructors to identify students who may require help during lecture sessions or collaborativeassignments, as some students who would benefit from help may feel shy from seeking it.ConclusionsOur study seeks to address the lack of knowledge about student group problem-solving behaviorsin a collaborative learning setting and assist instructors in understanding the temporal patterns instudent group submission sequences
top. To prepare the rollout plan for the sensitization and adoption ofOER, it is mandatory to understand the existing situation/awareness among the facultymembers. Determined Internally INDIVIDUALS may be Volition INSTITUTIONS may be against of OER adoption. against of OER adoption. to adopt OER Availability of relevant OER of requisite quality Capacity to find, use, create and/or