Preparing for high-stakes exams in introductory physics courses is generally a self-regulated activity.
Compared to other exam reviewing strategies, doing practice exams has been shown to help students
recognize gaps in their knowledge, encourage active practicing, and produce long-term retention. However,
many students, particularly students who are struggling with the course material, are not guided by
research-based study strategies and do not use practice exams effectively. Using data collected from a fully
online course in Spring 2021, this study examines two interventions aimed at improving student selfregulated studying behaviors and enhancing student metacognition during exam preparation. We found that
a modified format of online practice exams with one attempt per question and delayed feedback, increases
the accuracy of feedback about student readiness for exams but does not change the accuracy of their
predicted exam scores or studying behaviors. Additionally, an added mock exam one week before the
actual exam impacts students’ intentions for studying but does not impact actual study behaviors or
facilitate metacognition. These results suggest that interventions designed to improve exam preparation
likely need to include explicit instruction on study strategies and student beliefs about learning.
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A Quantitative Analysis of When Students Choose to Grade Questions on Computerized Exams with Multiple Attempts
In this paper, we study a computerized exam system that allows students to attempt the same question multiple times. This system permits students either to receive feedback on their submitted answer immediately or to defer the feedback and grade questions in bulk. An analysis of student behavior in three courses across two semesters found similar student behaviors across courses and student groups. We found that only a small minority of students used the deferred feedback option. A clustering analysis that considered both when students chose to receive feedback and either to immediately retry incorrect problems or to attempt other unfinished problems identified four main student strategies. These strategies were correlated to statistically significant differences in exam scores, but it was not clear if some strategies improved outcomes or if stronger students tended to prefer certain strategies.
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- Award ID(s):
- 1915257
- NSF-PAR ID:
- 10200296
- Date Published:
- Journal Name:
- Proceedings of the Seventh ACM Conference on Learning @ Scale
- Page Range / eLocation ID:
- 329 to 332
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract Background There is overwhelming evidence that evidence-based teaching improves student performance; however, traditional lecture predominates in STEM courses. To provide support as faculty transform their lecture-based classrooms with evidence-based teaching practices, we created a faculty development program based on best practices, Consortium for the Advancement of Undergraduate STEM Education (CAUSE). CAUSE paired exploration of evidence-based teaching with support for classroom implementation over two years. Each year for three years, CAUSE recruited cohorts of faculty from seven STEM departments. Faculty met biweekly to discuss evidence-based teaching and receive feedback on their implementation. We used the PORTAAL observation tool to document evidence-based teaching practices (PORTAAL practices) across four randomly chosen class sessions each term. We investigated if the number of PORTAAL practices used or the amount of practices increased during the program.
Results We identified identical or equivalent course offerings taught at least twice by the same faculty member while in CAUSE (
n = 42 course pairs). We used a one-way repeated measures within-subjects multivariate analysis to examine the changes in average use of 14 PORTAAL practices between the first and second timepoint. We created heat maps to visualize the difference in number of practices used and changes in level of implementation of each PORTAAL practice. Post-hoc within-subjects effects indicated that three PORTAAL practices were significantly higher and two were lower at timepoint two. Use of prompting prior knowledge and calling on volunteers to give answers decreased, while instructors doubled use of prompting students to explain their logic, and increased use of random call by almost 40% when seeking answers from students. Heat maps indicated increases came both from faculty’s adoption of these practices and increased use, depending on the practice. Overall, faculty used more practices more frequently, which contributed to a 17% increase in time that students were actively engaged in class.Conclusions Results suggest that participation in a long-term faculty development program can support increased use of evidence-based teaching practices which have been shown to improve student exam performance. Our findings can help prioritize the efforts of future faculty development programs.
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null (Ed.)Engineering instructors often use physical manipulatives such as foam beams, rolling cylinders, and large representations of axis systems to demonstrate mechanics concepts and help students visualize systems. Additional benefits are possible when manipulatives are in the hands of individual students or small teams of students who can explore concepts at their own pace and focus on their specific points of confusion. Online learning modalities require new strategies to promote spatial visualization and kinesthetic learning. Potential solutions include creating videos of the activities, using CAD models to demonstrate the principles, programming computer simulations, and providing hands-on manipulatives to students for at-home use. This Work-in-Progress paper discusses our experiences with this last strategy in statics courses two western community colleges and a western four-year university where we supplied students with their own hands-on kits. We have previously reported on the successful implementation of a hands-on statics kit consisting of 3D printed components and standard hardware. The kit was originally designed for use by teams of students during class to engage with topics such as vectors, moments, and rigid body equilibrium. With the onset of the COVID-19 pandemic and shift to online instruction, the first author developed a scaled down version of the kit for at-home use by individual students and modified the associated activity worksheets accordingly. For the community college courses, local students picked up their models at the campus bookstore. We also shipped some of the kits to students who were unable to come to campus, including some in other countries. Due to problems with printing and availability of materials, only 18 kits were available for the class of 34 students at the university implementation. Due to this circumstance, students were placed in teams and asked to work together virtually, one student showing the kit to the other student as they worked through the worksheet prompts. One community college instructor took this approach as well for a limited number of international students who did not receive their kits in a timely manner due to shipping problems. Two instructors assigned the hands-on kits as asynchronous learning activities in their respective online courses, with limited guidance on their use. The third used the kits primarily in synchronous online class meetings. We found that students’ reaction to the models varied by pilot site and presume that implementation differences contributed to this variation. In all cases, student feedback was less positive than it has been for face-to-face courses that used the models from which the take home kit was adapted. Our main conclusion is that implementation matters. Doing hands-on learning in an online course requires some fundamental rethinking about how the learning is structured and scaffolded.more » « less
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This project aims to enhance students’ learning in foundational engineering courses through oral exams based on the research conducted at the University of California San Diego. The adaptive dialogic nature of oral exams provides instructors an opportunity to better understand students’ thought processes, thus holding promise for improving both assessments of conceptual mastery and students’ learning attitudes and strategies. However, the issues of oral exam reliability, validity, and scalability have not been fully addressed. As with any assessment format, careful design is needed to maximize the benefits of oral exams to student learning and minimize the potential concerns. Compared to traditional written exams, oral exams have a unique design space, which involves a large range of parameters, including the type of oral assessment questions, grading criteria, how oral exams are administered, how questions are communicated and presented to the students, how feedback were provided, and other logistical perspectives such as weight of oral exam in overall course grade, frequency of oral assessment, etc. In order to address the scalability for high enrollment classes, key elements of the project are the involvement of the entire instructional team (instructors and teaching assistants). Thus the project will create a new training program to prepare faculty and teaching assistants to administer oral exams that include considerations of issues such as bias and students with disabilities. The purpose of this study is to create a framework to integrate oral exams in core undergraduate engineering courses, complementing existing assessment strategies by (1) creating a guideline to optimize the oral exam design parameters for the best students learning outcomes; and (2) Create a new training program to prepare faculty and teaching assistants to administer oral exams. The project will implement an iterative design strategy using an evidence-based approach of evaluation. The effectiveness of the oral exams will be evaluated by tracking student improvements on conceptual questions across consecutive oral exams in a single course, as well as across other courses. Since its start in January 2021, the project is well underway. In this poster, we will present a summary of the results from year 1: (1) exploration of the oral exam design parameters, and its impact in students’ engagement and perception of oral exams towards learning; (2) the effectiveness of the newly developed instructor and teaching assistants training programs (3) The development of the evaluation instruments to gauge the project success; (4) instructors and teaching assistants experience and perceptions.more » « less
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Introductory engineering courses at large universities often number over a hundred students, while online classes can have even larger enrollments, significantly constraining instructors’ ability to provide feedback on homework, including the free-body diagrams (FBDs). Most online homework systems do not provide feedback on FBDs if the systems even allow the submission, and instructors often lack time or resources to provide this. A few systems have been developed that use a menu-based system allowing students to creative FBDs. There is a growing concern amongst engineering educators that student lacks critical sketching skills and the ability to idealize a real-world system as a free body diagram (FBD). A sketch-recognition based tutoring system, Mechanix, allows learners to hand-draw solutions just as they would with pencil and paper, while also providing iterative real-time personalized feedback. Sketch recognition algorithms use artificial intelligence to identify the shapes, their relationships, and other features of the sketched student drawing. Other AI algorithms then determine if and why a student’s work is incorrect, enabling the tutoring system to return immediate and iterative personalized feedback facilitating student learning that is otherwise not possible in large classes. Preliminary results using Mechanix, a sketch-based statics tutoring system built at Texas A&M University suggest that a sketch-based tutoring system increases homework motivation in struggling students and is as effective as paper-and-pencil-based homework for teaching method of joints truss analysis. The current project implements Mechanix at five different universities obtaining Pre/Post Concept Inventory, homework, and exam scores. It is compared against either the university's current online system or paper-based homework. Focus groups provide further insight into the students’ perceptions about the impact of Mechanix on their learning.more » « less
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3386527.3406740
