Undergraduate Science Education Research Articles

Competence and autonomous motivation as motivational predictors of college students’ mathematics achievement: from the perspective of self-determination theory

BackgroundApplied Calculus courses serve hundreds of thousands of undergraduates as quantitative preparation and gatekeepers across diverse fields of study. The current study investigated how motivational factors are associated with students’ learning outcomes in Applied Calculus courses from the perspective of self-determination theory—a sound comprehensive motivation theory that has been supported by considerable research in psychology and education. In order to have a nuanced understanding of students’ motivation and learning in Applied Calculus courses, we used three different types of learning measures to investigate students’ mathematics achievement, including course grades, a standardized knowledge exam, and students’ perceived knowledge transferability.ResultsWe tested the relationships between motivational factors and learning outcomes with a multi-semester sample of 3226 undergraduates from 188 Applied Calculus classrooms. To increase the precision of our analysis, we controlled for three demographic variables that are suggested to be relevant to mathematics achievement: gender, minority group status, and socioeconomic status. With a series of multilevel modeling analyses, the results reveal that: (1) competence satisfaction predicts college students’ mathematics achievement over and above the satisfaction of needs for autonomy and relatedness; and (2) autonomous motivation is a more powerful predictor of college students’ mathematics achievement than controlled motivation and amotivation. These findings are consistent across different types of learning outcomes.ConclusionsSelf-determination theory provides an effective framework for understanding college students’ motivation and learning in Applied Calculus courses. This study extends self-determination theory in the field of mathematics education and contributes to the dialogue on advancing undergraduate science, technology, engineering, and mathematics (STEM) education by providing evidence to understand how motivational factors are associated with students’ learning outcomes in undergraduate mathematics courses.

Investigating Instructor Talk among Graduate Teaching Assistants in Undergraduate Biology Laboratory Classrooms.

Instructor Talk—noncontent and nonlogistical language that is focused on shaping the classroom learning environment—is a recently defined variable that may play an important role in how undergraduates experience courses. Previous research characterized Instructor Talk used by faculty teaching in biology lecture classrooms. However, graduate teaching assistants (GTAs) and laboratory classrooms represent critical factors in undergraduate education, and Instructor Talk in this context has yet to be explored. Here, we present findings analyzing Instructor Talk used by GTAs teaching in undergraduate biology laboratory classrooms. We characterized the Instructor Talk used by 22 GTA instructors across 24 undergraduate biology laboratory courses in the context of a single, urban, Hispanic-serving and Asian American and Pacific Islander–serving Institution. We found that Instructor Talk was present in every course studied, GTAs with pedagogical training and prior teaching experience used more Instructor Talk than those without, and GTAs teaching laboratory courses used more Instructor Talk than previous observations of faculty teaching lecture courses. Given the widespread use of Instructor Talk and its varying use across contexts, we predict that Instructor Talk may be a critical variable in teaching, specifically in promoting equity and inclusion, which merits continued study in undergraduate science education.

Studying Gender While ‘Studying Up’

This article discusses the epistemological challenges of contending with hegemonic norms while ‘studying up’. In particular, I discuss the challenges that I faced in following feminist and queer approaches to gender while conducting fieldwork on the gendered norms and values produced through undergraduate computer science education in Singapore. These approaches suggest critical questions about the construction of computer science knowledge and of the common focus on the ‘woman problem’ in computer science. While feminist and queer approaches enabled me to find partial connections with participants, the heteronormativity in/of computer science and problem-solving-based hegemonic epistemology brought challenges in maintaining my methodological and theoretical approach. I highlight the need for closer examination of the power dynamics and how these shape the epistemological risks of fieldwork while studying up.

Institutionalizing evidence-based STEM reform through faculty professional development and support structures

BackgroundEven though student-centered instruction leads to positive student outcomes, direct instruction methods are still prevalent. Multiple barriers prevent faculty from further adopting evidence-based student-centered practices and holistic approaches to faculty support are necessary to promote faculty change. The Collaborative for Institutionalizing Scientific Learning (CISL) is an HHMI-funded program to reform undergraduate science and mathematics education at a large Hispanic-Serving public research university. The program has established a Faculty Scholar support model to impact the number of science and mathematics faculty using evidence-based practices in their classrooms. Through this program, Scholars are selected to undertake a transformation of a course of their choice and conduct an assessment of the impact of the reform on students—while receiving multiple supports including summer salary, undergraduate Learning Assistants, professional development, course assessment and education research support, and opportunities to develop manuscripts on their course transformations.ResultsCISL has supported over 40 Faculty Scholars in the transformation of both introductory and upper division biology, chemistry, physics and mathematics courses. Faculty are motivated to transform a course due to factors related to their own experiences and beliefs, their students’ needs, the course structure, and/or departmental elements. Quantitative analysis of the impact of the project on student success show that, overall, students in CISL-supported courses have higher passing rates compared to students in traditional classrooms. Survey and interviews of Faculty Scholars identified that the most valuable elements of the program were the personnel support from undergraduate Learning Assistants during reform implementation and guidance from the program’s Assistant Director during design, implementation and evaluation.ConclusionsThe CISL program provides an example of significant effort sustained over several years to systematically improve the quality and culture of undergraduate education in a large research-intensive Hispanic Serving Institution. The program has had an overall positive impact on the professional development of Faculty Scholars and led to an increase in the number of STEM courses implementing evidence-based teaching practices, thus, taking a step towards solidifying a culture of evidence-based instructional strategies in STEM departments.

A Team-Based Activity to Support Knowledge Transfer and Experimental Design Skills of Undergraduate Science Students.

ABSTRACTExperimental design may be considered an essential learning objective of undergraduate science education. This skill not only requires learners to be able to identify novel questions, generate hypotheses, create experimental models, and anticipate data outcomes but also demands that students are able to effectively transfer and apply knowledge from previous learning experiences to novel contexts. Here, I describe a team-based activity for upper-level undergraduate science courses that aims to strengthen students’ skills in experimental design and transfer of knowledge. Instructional resources are provided to facilitate straightforward application in courses of diverse science disciplines and delivery modes.

An Interactive Feedback Model for Enhancing Teaching and Learning in Dental and Undergraduate Medical Science Education

Introduction and ObjectiveAs higher education institutions transitioned to fully online teaching and learning environments due to the Covid‐19 pandemic, the importance of effective pedagogical models was reinforced. This unexpected and abrupt change of curriculum delivery from previously well‐established educational programs has not been without challenges, and subsequently identified a need for improvements in online teaching and learning practices. In September of 2020, a group of dental students and motivated faculty at Western University Schulich School of Medicine and Dentistry came together in response to the pandemic and established an online feedback model (V1). This feedback model created the foundation for a Students as Partners program (SaP). SaP programs provide students and faculty the opportunity to foster academic partnerships and together be part of the teaching and learning process. This program allowed dentistry students to provide real‐time feedback on curricular content and delivery as teaching and learning shifted online. In order to evaluate the impact a real‐time feedback model has in enhancing teaching and learning, it is crucial to determine whether the feedback model closes the feedback loop. Closing the feedback loop is a systematic process where student feedback is shared with students and faculty, timely actions are taken to implement changes from the student voice, and the effectiveness of actioned improvements is monitored.Materials and MethodsTo assess if the V1 feedback system closes the feedback loop to enhance teaching and learning, we distributed Qualtrics surveys with 7‐point Likert scale statements and free‐text response questions to obtain student and faculty perspectives on their awareness, use, and perceived effectiveness of the V1 feedback system.ResultsAfter collecting pilot data from students and faculty on their perspectives of the V1feedback system, changes were made to the model of SaP and essential elements were re‐established. The student perspective reported that 73% (n=11) of students disagreed that they were well aware of the V1 feedback system and its intended use, 78% (n=10) disagreed that the V1 feedback system provided a solution for real‐time improvements, and 80% (n=5) disagreed that they were notified of changes being made to the feedback they provided. These results identified closing the feedback loop was not taking place in this V1 model.ConclusionSince increasing the awareness of the SaP program, an updated feedback system (V2) that closes the feedback loop to enhance teaching and learning in dental and undergraduate medical science education was developed and is being evaluated. Further analysis will determine if the V2 feedback system closes the feedback loop in a real‐time feedback model.SignificanceThis research is intended to assist researchers in dental and undergraduate medical science education with a feedback model that elicits student voices while enhancing the teaching and learning experience.

The Perceptions of Students and Lecturers on the Use of Animals in Biomedical Science Undergraduate Education in Brazil.

The use of animals in research and education is a controversial topic that has raised extensive debates. Undergraduate students (n = 404) and lecturers (n = 62) from biomedical science schools at the Federal University of Goiás (UFG) in the municipality of Goiânia, Jataí and Catalão, Goiás, Brazil, were asked about their knowledge and opinions on bioethics, the use and importance of animals in education, the replacement of animal use with non-animal alternatives, and the current legislation of the National Council for the Control of Animal Experimentation (CONCEA) that bans animal use in some practical classes within technical and higher education (i.e. Resolution No. 53/2021). Most students and lecturers agreed not only that animal use can contribute to education, but also that it is important to replace this animal use with innovative non-animal alternatives where appropriate. The lecturers emphasised that the replacement of animal models will be possible only with the provision of appropriate training to improve the skills of educators in their use, as well as ensuring reliable access to suitable facilities and materials.

Identifying plagiarised programming assignments based on source code similarity scores

ABSTRACT Background and Context Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, such tools do not identify plagiarism, nor suggest what assignment submissions are suspicious of plagiarism. Source code plagiarism detection tools simply evaluate and report the similarity of assignment submissions. Detecting plagiarism always requires additional human intervention. Objective This work presents an approach that enables the automated identification of suspicious assignment submissions by analysing similarity scores as reported by source code plagiarism detection tools. Method Density-based clustering is applied to a set of reported similarity scores. Clusters of scores are used to incrementally build an association graph. The process stops when there is an oversized component found in the association graph, representing a larger than expected number of students plagiarising. Thus, the constructed association graph represents groups of colluding students. Findings The approach was evaluated on data sets of real and simulated cases of plagiarism. Results indicate that the presented approach can accurately identify groups of suspicious assignment submissions, with a low error rate. Implications The approach has the potential to aid instructors in the identification of source code plagiarism, thus reducing the workload of manual reviewing.

Identifying Plagiarised Programming Assignments with Detection Tool Consensus

Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work presents a semi-automatic approach that enables the indication of suspicious assignment submissions by analysing source code similarity scores among the submissions. The proposed approach seeks the consensus of multiple source code plagiarism detection tools in order to identify program pairs that are consistently evaluated with high similarity. A case study is presented to demonstrate the use of the proposed approach. The results of this case study indicate that it can accurately identify assignment submissions that are suspicious of plagiarism.

Impacts on student learning, confidence, and affect in a remote, large-enrollment, course-based undergraduate research experience in physics

Over the last decade, course-based undergraduate research experiences (CUREs) have been recognized as a way to improve undergraduate science, technology, engineering, and mathematics education by engaging students in authentic discovery. CUREs have been shown to have positive benefits similar to traditional undergraduate research experiences; however, they can reach a larger number of students and are open to all students who enroll in the course. Motivated by the need to redesign the large introductory physics lab at The University of Colorado–Boulder to be fully remote in response to the COVID-19 pandemic, we designed and implemented the first remote, large-enrollment, physics CURE. Here, we detail the motivations and the challenges when designing the course, and provide detailed descriptions of the course components. Throughout the course, we collected course artifacts and administered surveys to the students. Based on these data sources, we find that this course helped students gain research skills and coding confidence, engage in productive and enjoyable teamwork experiences, and feel motivated and interested in experimental physics research.1 MoreReceived 31 January 2022Accepted 16 March 2022Corrected 28 April 2022DOI:https://doi.org/10.1103/PhysRevPhysEducRes.18.010129Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasInstructional materials developmentInstructional strategiesLearning environmentPhysics Education Research

Teaching Field Data Crowdsourcing Using a GPS-Enabled Cellphone Application: Soil Erosion by Water as a Case Study

Crowdsourcing is an important tool for collecting spatio-temporal data, which has various applications in education. The objectives of this study were to develop and test a laboratory exercise on soil erosion by water and field data crowdsourcing in an online introductory soil science course (FNR 2040: Soil Information Systems) at Clemson University. Students from different STEM disciplines (wildlife biology, forestry, and environmental and natural resources) participated in the study in the fall of 2021. They completed a sequence of self-contained digital teaching modules or reusable learning objects (RLOs), which are often used in online learning. The exercise included a field exercise and learning module to teach students about different types of water-based soil erosion as well as field data collection and crowdsourcing tools. As a result of this exercise, student familiarity with crowdsourcing was effectively increased, as shown by the post-assessment survey with a +31.2% increase in the “moderately familiar” category and a +28.3% increase in the “extremely familiar” category. The online quiz contained ten questions and was taken by 56 students with an average score of 9.5 (out of 10). A post-assessment survey found that most of the students indicated that the laboratory was an effective learning experience about field data crowdsourcing using a GPS-enabled cellphone application. Detailed students’ comments indicated enjoyment of learning (e.g., data collection, learning about different technologies), the value of multimedia (e.g., ArcGIS Survey123, cellphone), the flexibility of learning (e.g., field work), the content applicability (e.g., actual field examples of erosion by water), and criticism (e.g., technical issues). A word cloud derived from students’ comments about their laboratory exercise experience indicated the most frequent words used by students, such as “erosion”, “enjoyed”, and “different”, among others. Incorporating a learning module and field exercise using modern data collection technology into an undergraduate soil science education course enabled students to understand the value and methods for leveraging cellphone-based field collection methods to crowdsource data for environmental assessment. Practical recommendations for planning and executing future crowdsourcing exercises were developed using the current study as an example.

Examining the role of self-efficacy and online metacognitive monitoring behaviors in undergraduate life science education

In STEM education, a thorough understanding of the interaction of self-efficacy and metacognitive monitoring behaviors is needed to refine theories and inform the design of instructional supports for students with varying levels of motivation and self-regulation skills. We examined how students' (n = 1063) exam scores in an undergraduate life science course were influenced by their self-efficacy and online metacognitive monitoring behaviors by integrating variable-centered and person-centered approaches. In a semester-long study, students' self-efficacy judgements made at the end of the semester were stronger predictors of students' final exam performance than those made at the beginning of the semester. Results further suggested that the influence of self-efficacy on exam scores decreased as online monitoring behaviors increased. Students’ prior GPA predicted membership in three latent profiles indicated by 1) high self-efficacy with high metacognitive monitoring activity; 2) high self-efficacy with low metacognitive monitoring activity; and 3) low self-efficacy with low metacognitive monitoring activity. Learners with high self-efficacy and high monitoring activity outperformed those with high self-efficacy and low monitoring, who outperformed those with low self-efficacy and low monitoring on exams.

How Undergraduate Students Learn Atmospheric Science: Characterizing the Current Body of Research

Abstract Educators can enrich their teaching with best practices, share resources, and contribute to the growing atmospheric science education research community by reading and participating in the scholarship of teaching and learning in atmospheric science. This body of scholarship has grown, particularly over the past 15 years, and is now a sizable literature base that documents and exemplifies numerous teaching innovations in undergraduate atmospheric science education. This literature base benefits the entire atmospheric science community because graduates of atmospheric science programs are better prepared to enter the workforce. This literature base has not yet been examined, however, to see how well the evidence supports education practices in the atmospheric science education literature. In this study, we characterized that evidence and show that the majority of papers we reviewed share education innovations with anecdotal or correlational evidence of effectiveness. While providing useful practitioner knowledge and preliminary evidence of the effectiveness of numerous innovative teaching practices, opportunities exist for increasing readers’ confidence that the innovations caused the learning gains. Additional studies would also help move conclusions toward generalizability across academic institutions and student populations. We make recommendations for advancing atmospheric science education research and encourage atmospheric science educators to actively use the growing body of education literature as well as contribute to advancing atmospheric science education research.

Digital Timeline Assignment of Key Opioid Research Articles Spanning Five Decades.

Learning to read scientific literature is a crucial component of an undergraduate science education. Undergraduate science students learn to analyze data, read primary literature, and integrate knowledge across articles into a cohesive understanding of a field of study. Often, a class includes students with varying experience reading primary literature, making it difficult to develop assignments that are adequately approachable yet challenging for every student. Here I describe a three-part assignment for an intermediate level neurobiology course that seeks to address this concern. Each student was first assigned a single article in the field of opioid research, which they summarized in an entry for a digital timeline. Second, students presented their timeline entries to the class, and the compiled digital timeline was made publicly available online. In the third part of the assignment, students wrote a brief perspective paper. Here, students explained how their assigned article fit into the field of study using their classmates' timeline entries, along with the option to include additional references outside of the timeline. This three-part assignment sought to provide a supportive yet challenging project for students at all levels. The project was designed as a non-disposable assignment, aligned with additional learning goals and pedagogical practices, including interdisciplinary awareness, writing-to-learn, and inclusive pedagogy. Versions of this assignment have been used for both in-person and remote instruction.

Addressing Education for Sustainable Development in the Teaching of Science: The Case of a Biological Sciences Teacher Education Program

Education plays a key role in ensuring that all learners are equipped with the knowledge and skills needed to promote sustainable development. The United Nations Sustainable Development Goals (SDG) set out the key challenges of our time with targets to protect the planet, end poverty, and improve the prospects of all people by 2030. As global challenges including access to healthcare and climate change escalate, the need for action is even more pressing. Education is an enabler of change and presents opportunities to support learners to explore how they can participate in transformative education experiences that focus on building a more sustainable world. Science education provides unique opportunities to explore sustainability given the nature of the discipline, the knowledge it reflects, and its focus on inquiry based pedagogical approaches. This study explores the nature of science as an academic discipline, as it is lived and perceived within the teaching of an undergraduate Science Education (biological sciences) program in a Higher Education Institution (HEI) and its capacity for the integration of Education for Sustainable Development (ESD). An ethnographic informed research design was adopted to document the social culture, perspectives, and practices inherent in the educational setting. Semi-structured interviews were conducted with academics and tutors from the HEI’s Science Department who contribute to the program (n = 11). Focus groups were held with pre-service teachers enrolled on the program (n = 21) and observations from lectures, laboratory sessions, and field trips were carried out. Findings arising from analysis of data point to a strong link between science and society in science education, and the need for learners to develop critical scientific literacy that enables them to meaningfully navigate the multiple perspectives presented in media and public debates relating to sustainability issues. Findings suggest that while sustainability themes permeated some modules in the program, the emphasis was on imparting hard, technical knowledge rather than allowing for the critical exploration of issues. Results also highlight some discipline specific challenges to adopting discursive pedagogical approaches in the science education program. Some ways of understanding these findings are explored.

Roles matter: Graduate student perceptions of active learning in the STEM courses they take and those they teach.

Despite many calls to reform undergraduate science, technology, engineering, and math (STEM) education to incorporate active learning into classes, there has been little attention paid to graduate level classrooms or courses taught by graduate students. Here, we set out to understand if and how STEM graduate students' perceptions of active learning change in the classes they take versus those they teach. We found that graduate students had taken relatively few graduate level classes using active learning and they felt that more time should be devoted to active learning in the courses they were taking. Teaching assistants felt that they were devoting the right amount of class time to active learning in the classes they taught. Graduate students also felt that they were using teaching methods in the classes they taught that were different from those they thought should be used when teaching undergraduates and were different from how they preferred to learn when taking classes.

A Meta-Analysis of Teacher and Student-Centered Practices and Processes in Undergraduate Science Education

This meta-analysis investigates the effects of four instructional dimensions rated on a scale from more Teacher-centered (T-C) to more Student-centered (S-C) plus several coded moderator variables on the achievement of undergraduate students in science education courses. More student-centered conditions served as the ‘treatment’ while more teacher-centered conditions were considered the ‘control.’ Hedges’ g, operationalized as the adjusted standardized differences between treatment and control means, served as the outcome measure. The weighted average difference between groups was g̅ = 0.34, k = 140 (random effects analysis), indicating an overall difference in favor of student-centered instruction. Out of four rated dimensions (Pacing, Teacher’s Role, Flexibility, and Adaptation) only Flexibility was significant in meta￾regression as a negative predictor of effect size. Two demographic variables (i.e., class size & subject matter), and one instructional moderator variables (i.e., technology use) were also significant when added to Flexibility, producing a model that accounted for 36% of total variation in effect size.

Improving Undergraduate Science Education Students’ Argumentation Skills through Debates on Socioscientific Issues

This research aims to examine undergraduate students’ argumentation skills during and after the learning process in the classroom setting and their responses toward the implementation of socioscientific issues (SSI) through debate in the learning process. This research involved 32 undergraduate students and implemented design-based research with pretest and posttest in a natural classroom setting using three topics of SSI debate that widely discussed in Indonesia: Nuclear Powerplant (Topic 1), Food Preservation (Topic 2), and Genetically Modified Organism (Topic 3). Data was collected using observation sheets, tests, and questionnaires. Observation is to measure argumentation ability when applying the debate method in class settings, the test measures the improvement of argumentation skills, and questionnaires measure students’ responses to the application of the debate method. In this study, argumentation scores were obtained from six indicators and divided by a maximum score of 24 times 100. Normalized gain (N-gain) was calculated to determine the effectiveness of the intervention in the classroom. T-test was also conducted to test the significance of the differences in the pretest and posttest results on argumentation skills. The results obtained in this study are: the argumentation skills score during the learning process for six groups were 95, 80.6, 90.3, 95, 83.3, and 77.5; the mean score of pretest and posttest were 52.22 ± 6.62 and 85.78 ± 4.72. The consistency of opinions shows the change from “agree” to “disagree” for Topics 1 and 3. The undergraduate students agree and consistently agree toward Topic 2. The paired t-test result also shows that the intervention statistically has a significant difference between the two means, indicating that the undergraduate students’ argumentation skills are better than before the intervention. Otherwise, most of the undergraduate students respond positively toward the implementation of the debate related to SSI. Despite some limitations, the debate on SSI can improve argumentation skills in classroom settings, especially in science education majors.

The e-learning survey analysis in Universitas Sarjanawiyata Tamansiswa: Should it be improved?

E-learning is not a new issue in education. This research aims to analyze the readiness of early-semester students to implement e-learning at Universitas Sarjanawiyata Tamansiswa. The readiness of students in facing lectures in this pandemic period is considered to be an important issue in the implementation of online lectures. This study is qualitative research using survey methods to describe students' responses to university e-learning in an even semester. This research was conducted by disseminating survey instruments using the RASE model to students using SIPEDAR (university e-learning platform) and academic portal. The research subjects were students in the Educational Research and Evaluation Post-Graduate program and undergraduate science education program in Universitas Sajanawiyata Tamansiswa. The finding of this study stated that Students' responses on e-learning resources had an average of 3.29 (excellent). The students' responses to the activity features in e-learning reached an average of 3.25 (excellent). The student's response to the support features in e-learning with an average of 3.16 (excellent), and The student's response indicator on evaluation in e-learning by 3.21 (excellent).

"Teach your children well" value-neutrality and CS202X

Beginning with the work of the ACM Curricular Committee on Computer Science in the early 1960s, and continuing approximately every decade since, ACM members have contributed to establishing curricular guidelines for undergraduate computer science education [1, 2]. This work is continuing with the recent formation of the CS202X Steering Committee, which is tasked with revising the recommendations for the next decade [3]. As such reports are reflect the work of their associated Steering Committees and the input of the computing community, "the reports are documents that reflect their time" [6]. Furthermore, curricular reports are not value-neutral, nor should they be (see below). Instead, as SIGCAS members, we should attempt to infuse into the CS202X curriculum the values we expect computer science graduates to exhibit throughout their computing careers. Naturally, what specific values should be included is up to our membership and, as a individual member of SIGCAS, I'll explore this topic in the remainder of this Parting Opinion column.