Conference Session

Best Paper, Best Diversity Paper

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Maija A Benitz, Roger Williams University

Tagged Divisions

Ocean and Marine

, reflection papers, peerevaluations, and course surveys. More specifically, the aim of this work is to explore the efficacyof the project in meeting a variety of learning outcomes, including enhancing 21st century skillsin audiovisual communication, and deepening the students’ knowledge of ocean engineeringconcepts. Finally, this paper shares lessons learned and provides recommendations for futureimplementations of this course project.IntroductionExperiential learning has gained ample traction in engineering education for its efficacy inmotivating students [1], increasing understanding of content [2], strengthening innovativethinking [3] and boosting self-efficacy [4], among other benefits. A wide range of pedagogiesfall under the umbrella of

Conference Session

Best Paper, Best Diversity Paper

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Jeroen Pruyn, Delft University of Technology; Edwin van Hassel, University of Antwerp

Tagged Divisions

Ocean and Marine

over the past decade. It has proven to be a highly appreciated andeffective way to teach students of both fields.The paper discusses the course design and history, demonstrates its success based on evaluationsand continued expansion of the user base, and explains the success of the design by linking it toeducational theories such as the use of scaffolding, direct instruction, assessment for learning, therole of feedback and the importance of context.The final discussion/reflection focuses on the impact of online and distant learning on achievingthe learning goals, based on five courses at five different institutions given in the periodSeptember 2020-January 2021.IntroductionThe importance of multi-disciplinarity in education is not new

Conference Session

Microsoft Teams, Deep Learning, and Classroom Flipping

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Grace Nolan, California Polytechnic State University, San Luis Obispo ; Franz J. Kurfess, California Polytechnic State University, San Luis Obispo; Kathirvel A. Gounder; Damon Tan; Casey Daly, California Polytechnic State University, San Luis Obispo; Caroline Skae, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Ocean and Marine

,‌‌the‌‌model‌‌identifies‌‌two‌‌objects‌‌of‌‌interest,‌‌draws‌‌boxes‌‌around‌‌them‌‌shown‌‌in‌‌  red,‌‌assigns‌‌the‌‌labels‌‌“1”‌‌to‌‌identify‌‌the‌‌first‌‌category‌‌(sharks,‌‌in‌‌our‌‌case),‌‌and‌‌indicates‌‌a ‌‌confidence‌‌factor‌‌for‌‌each‌‌(very‌‌close‌‌to‌‌1.0,‌‌which‌‌means‌‌the‌‌model‌‌is‌‌quite‌‌certain‌‌that‌‌the‌‌ object‌‌belongs‌‌into‌‌the‌‌category‌‌identified).‌‌While‌‌the‌‌results‌‌are‌‌not‌‌always‌‌as‌‌clear‌‌as‌‌in‌‌this‌‌ example,‌‌the‌‌overall‌‌performance‌‌of‌‌the‌‌model‌‌is‌‌very‌‌good,‌‌especially‌‌considering‌‌the‌‌  challenges‌‌of‌‌recognizing‌‌small‌‌objects‌‌in‌‌often‌‌murky‌‌waters,‌‌with‌‌waves,‌‌foam,‌‌reflections,‌‌ and‌‌other‌‌distractions.‌‌   ‌Results‌  ‌For‌‌basic‌‌results

Conference Session

Microsoft Teams, Deep Learning, and Classroom Flipping

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Paul M. Kump, SUNY Maritime College

Tagged Divisions

Ocean and Marine

to completing the exam. The remaining 25 minutes of exam periods werereserved for students to reflect and complete a survey about the flipped course format. The surveyresponses were anonymous and collected in an envelope handled by the students.Prior to flipping the course in 2019, ENGR 383 was taught in the traditional lecture-based format forwhich students were expected (but not required) to come to class and take notes. In this format,students were graded on weekly homework assignments and a single group project, as well as threehigh-stakes exams, the last of which was a long comprehensive final exam. Student participation,which was not graded, was limited to responding to the instructor’s timely questions, sometimesvolunteering with a

Conference Session

Microsoft Teams, Deep Learning, and Classroom Flipping

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Robert Kidd, State University of New York Maritime College

Tagged Divisions

Ocean and Marine

suggests that the groups are able to prepare for oradjust to the last two and a half weeks of remote instruction department-wide.With the expected performance defined, the Fall 2020 data can be analyzed. The data is shown inTable 4 and reflect significantly better results across all performance indicators. Performance Indicator Poor Adequate Good Excellent 5.a) Leadership 2% 7% 37% 55% 5.b) Collaborative Environment 1% 5% 31% 63% 5.c) Inclusive Environment 3% 3% 26% 69% 5.d) Establish Team Goals 3% 14% 41% 42% 5.e) Plan Team Tasks 2% 8

Conference Session

Best Paper, Best Diversity Paper

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

James Buchholz, University of Iowa; Jae-Eun Russell, University of Iowa; Venanzio Cichella, University of Iowa; Casey Harwood, University of Iowa; Shaoping Xiao, University of Iowa; Pablo M. Carrica, University of Iowa

Tagged Divisions

Ocean and Marine

under-represented minorities in the sample is too small to draw strongconclusions.When survey results were filtered according to students’ academic year of study, third yearstudents reported the most interest in the certificate program. 48% of third year students wereinterested in the certificate program. Fourth year students, on the other hand, reported the leastinterest across academic year. This is a likely a reflection of the fact that fourth-year studentswho have not already begun to complete the certificate will not have an opportunity to do sowithout delaying graduation. Although there was no difference regarding interest in the programfor males, females on average were less likely to be interested (23%). Additionally, first-generation