Undergraduate Science Research Articles

The Frayer Model as Analysis of Instruction and Student Knowledge in Undergraduate Astronomy

The American public’s factual knowledge about science has remained relatively unchanged over the past two decades. Research on scientific literacy connects to science education, interactive instruction techniques, and how introductory undergraduate science courses are many students’ last formal exposure to science. This highlights a need for research on how these courses can contribute toward a scientifically-literate citizenry. This study qualitatively analyzes how instruction in an introductory undergraduate astronomy course informs students on an astronomy concept, specifically blackbody radiation. A case study method of thematic analysis was employed by administering a pre- and post-lesson Frayer Model to students in an ASTR 1010 section and recording the professor’s lecture. Thematic analysis was conducted on all Frayer Models and the lecture transcript. Three key themes (refined understanding, blackbody spectrum, and ideal physical body) emerged, summarizing how students’ knowledge changed following instruction. The results section contextualizes these themes within how the concepts were taught. Blackbody radiation was entirely foreign to most students. Students utilized a few keywords, such as “perfect absorber,” to describe blackbodies. Their visual comprehension improved, for they accurately drew and labeled blackbody spectra. This study is novel in using the Frayer Model as an assessment tool in astronomy education research. The findings contextualize scientific literacy and nuance our understanding of how students conceptualize lecture-based instruction. Educators can interpret the results when considering how to teach blackbody radiation. Implications are made to a growing body of knowledge on language in astronomy education.

Renewing an undergraduate science curriculum for the 21st century

IntroductionThe rapid pace of technological advancement, globalisation, and complex socio-economic challenges facing 21st-century society necessitates a rethinking of undergraduate science education. Undergraduate science curriculum reform is essential to prepare students for the demands of the modern workforce in an ever-changing world. Accordingly, in Trinity College Dublin (the University of Dublin), the oldest science degree course in Ireland was intensively reviewed and redeveloped between 2014 and 2021. This study aims to collate and disseminate the knowledge acquired by university staff through the experience of undertaking a major science curriculum redevelopment.MethodsNine senior staff members closely involved with the redevelopment were interviewed about why the curriculum reform was necessary, what it had achieved, and how the process could have been improved.ResultsThe reasons behind the curriculum changes are described and placed in the context of contemporary pedagogical research. Reflections from the academic and administrative staff involved in the redevelopment process are presented, emphasising the challenges and opportunities that emerged from that process.DiscussionRecommendations for other universities undertaking similar reforms are included. Aligning undergraduate science curriculum reform with the needs of 21st-century society is vital for ensuring that science graduates are well-prepared to make positive contributions to a sustainable future.

All You Need is Love (for Data)

This study illustrates the potential of data-centric methodologies in enriching the practicum experiences of Sport and Exercise Science (SES) undergraduates. By amalgamating learning analytics and text mining, we extract actionable insights from practicum reflections. Automated report generation and data visualisation techniques enable quick identification of students requiring intervention, while text mining and sentiment analysis decode the prevalent themes in practicum experiences. The resulting insights potentially enable personalised, data-informed support strategies, fostering improved student satisfaction, practicum outcomes, and industry-relevant course design. The fusion of data and pedagogy illustrated in this research underscores the potential for data-driven strategies in enhancing tertiary education.

Exploring Compassion towards Laboratory Animals in UK- and China-Based Undergraduate Biomedical Sciences Students.

Taking a compassionate approach to the non-human animals used in biomedical research is in line with emerging ideas around a "culture of care". It is important to expose biomedical sciences students to the concept of a culture of care at an early stage and give them opportunities to explore related practices and ideas. However, there is no simple tool to explore biomedical sciences students' attitudes towards laboratory animals. Accordingly, there is little understanding of students' feelings towards these animals, or a means of quantifying potential changes to these feelings. We developed a 12-item questionnaire designed to explore compassion (the Laboratory Animal Compassion Scale; LACS) and used it with UK-based and China-based samples of undergraduate biomedical sciences students. In the same samples, we also explored a harm-benefit analysis task and students' beliefs regarding some mental characteristics of laboratory animals, then drew correlations with the quantitative measure of compassion. Compassion levels were stable across years of study and were not related to students' level of experience of working with laboratory animals. We observed a higher level of compassion in females versus males overall, and a higher level overall in the UK-based versus China-based sample. In a task pitting animal suffering against human wellbeing, students' compassion levels correlated negatively with their acceptance of animal suffering. Compassion levels correlated positively with a belief in animals being conscious and possessing emotions. These data are in line with studies that show compassion is gender- and nationality/culture-dependent, and points to links between compassion, beliefs, and choices.

Opting for open‐source? A review of free statistical software programs

AbstractStatistical software is commonly used in undergraduate social sciences statistics courses. Due to the increase in online/hybrid courses and the cost of SPSS, instructors may wish to switch to another statistical software. We cover seven programs: Excel, Google Sheets, jamovi, JASP, PSPP, R, and SOFA. We compare programs using the following criteria: ease of download, quality of online instructions, availability of instructor resources, sophistication of analyses available, ease of use, operating system requirements, whether it uses point‐and‐click or code, and whether a VPAT is available. Adopting new course materials is a valuable part of instruction but time‐consuming. Therefore, this review provides information about commonly available or free open‐source programs so instructors can choose based on the needs of their students and/or institutions.

“Out of my control”: science undergraduates report mental health concerns and inconsistent conditions when using remote proctoring software

Efforts to discourage academic misconduct in online learning environments frequently include the use of remote proctoring services. While these services are relatively commonplace in undergraduate science courses, there are open questions about students’ remote assessment environments and their concerns related to remote proctoring services. Using a survey distributed to 11 undergraduate science courses engaging in remote instruction at three American, public, research-focused institutions during the spring of 2021, we found that the majority of undergraduate students reported testing in suboptimal environments. Students’ concerns about remote proctoring services were closely tied to technological difficulties, fear of being wrongfully accused of cheating, and negative impacts on mental health. Our results suggest that remote proctoring services can create and perpetuate inequitable assessment environments for students, and additional research is required to understand the efficacy of their intended purpose to prevent cheating. We also advocate for continued conversations about the broader social and institutional conditions that can pressure students into cheating. While changes to academic culture are difficult, these conversations are necessary for higher education to remain relevant in an increasingly technological world.

Bolstering the Persistence of Black Students in Undergraduate Computer Science Programs: A Systematic Mapping Study

Background: People who are racialized, gendered, or otherwise minoritized are underrepresented in computing professions in North America. This is reflected in undergraduate computer science (CS) programs, in which students from marginalized backgrounds continue to experience inequities that do not typically affect White cis-men. This is especially true for Black students in general, and Black women in particular, whose experience of systemic, anti-Black racism compromises their ability to persist and thrive in CS education contexts. Objectives: This systematic mapping study endeavours to (1) determine the quantity of existing non-deficit-based studies concerned with the persistence of Black students in undergraduate CS; (2) summarize the findings and recommendations in those studies; and (3) identify areas in which additional studies may be required. We aim to accomplish these objectives by way of two research questions: (RQ1) What factors are associated with Black students’ persistence in undergraduate CS programs?; and (RQ2) What recommendations have been made to further bolster Black students’ persistence in undergraduate CS education programs? Methods: This systematic mapping study was conducted in accordance with PRISMA 2020 and SEGRESS guidelines. Studies were identified by conducting keyword searches in seven databases. Inclusion and exclusion criteria were designed to capture studies illuminating persistence factors for Black students in undergraduate CS programs. To ensure the completeness of our search results, we engaged in snowballing and an expert-based search to identify additional studies of interest. Finally, data were collected from each study to address the research questions outlined above. Results: Using the methods outlined above, we identified 16 empirical studies, including qualitative, quantitative, and mixed-methods studies informed by a range of theoretical frameworks. Based on data collected from the primary studies in our sample, we identified 13 persistence factors across four categories: (I) social capital, networking, & support; (II) career & professional development; (III) pedagogical & programmatic interventions; and (IV) exposure & access. This data-collection process also yielded 26 recommendations across six stakeholder groups: (i) researchers; (ii) colleges and universities; (iii) the computing industry; (iv) K-12 systems and schools; (v) governments; and (vi) parents. Conclusion: This systematic mapping study resulted in the identification of numerous persistence factors for Black students in CS. Crucially, however, these persistence factors allow Black students to persist, but not thrive, in CS. Accordingly, we contend that more needs to be done to address the systemic inequities faced by Black people in general, and Black women in particular, in computing programs and professions. As evidenced by the relatively small number of primary studies captured by this systematic mapping study, there exists an urgent need for additional, asset-based empirical studies involving Black students in CS. In addition to foregrounding the intersectional experiences of Black women in CS, future studies should attend to the currently understudied experiences of Black men.

TOSLS Cognitive Instrument to Measure Students' Scientific Literacy Abilities

Objective: This research is for the development of the TOSLS scientific literacy assessment instrument to determine the scientific literacy abilities of undergraduate science education students. Scientific literacy skills need to be known as a form of evaluation in learning. Scientific literacy skills are one of the abilities students must have after graduating from college and facing the work environment. Method: The quantitative method used in this research uses a Rasch model approach from 29 Bachelor of Science Education program students. Indicators of item suitability with Rasch model analysis measure this quality. The questions consist of 9 multiple choice questions with a correct score of 1 and an incorrect score of 0. Data processing uses MS Excel and SPSS 25 software. Results: The results show that all fit items, according to Rasch analysis, can be maintained without revision and used as a question instrument to measure the level of science literacy ability science for students with moderate scientific literacy abilities. Novelty: The research contribution of this question instrument can be used as reference material for evaluating the lecture process in biophysics courses on fermentation topics based on the level of scientific literacy ability.

393 Impact of Concurrent Enrollment in Laboratory and Lecture Sections of an Animal Reproduction Course on students’ Final Course Percentages

Abstract As undergraduate animal science student populations shift to more diverse backgrounds, hands-on learning activities have been shown to increase engagement and are necessary for students with diverse backgrounds in animal exposure. Student feedback and engagement in the classroom suggest that students value and seek hands-on learning opportunities. The outcomes of lecture courses with concurrent enrollment in laboratory or hands-on style courses warrant evaluation. Thus, our study aimed to investigate potential impacts of concurrent enrollment in lecture and laboratory sections on final course percentages. Data were collected from students enrolled in the farm animal reproduction lecture and (or) laboratory courses in the spring semesters of 2021 and 2022 including final course percentage in lecture, college classification (sophomore, junior, senior), gender, and degree option (science or production focus). Student learning outcomes and structure of the laboratory course were designed to provide hands-on learning opportunities that coincided with concepts discussed in lecture. A total of 193 students majoring in Animal Science were included in the analysis, of which 65 were concurrently enrolled in the laboratory and lecture, and 128 were enrolled in the lecture alone. Students concurrently enrolled in laboratory and lecture had a greater (P < 0.03) final course percentage in the lecture as compared with those enrolled in lecture alone. Students in the science degree option had a greater (P < 0.01) final lecture course percentage when compared with those in the production degree option. Neither student gender nor college classification affected (P > 0.10) final lecture course percentage. At the end of the semester, students were surveyed about perceived value of the laboratory course on their learning. Among students enrolled in laboratory sections, only 1.6% indicated the hands-on activities did not improve their learning of course concepts in lecture. In 2022, 82.2% of students enrolled in lecture, but not in a laboratory section indicated they wished they had enrolled in a laboratory section, because they believe it would have improved their grade in the lecture course. These student beliefs are supported by our results which indicate that not only did taking the laboratory and lecture together improve student final course percentages, but that students valued the hands-on learning opportunities provided in laboratory sections. Benefits of hands-on learning activities warrant providing student access to these types of activities and incorporating them in lecture courses when laboratory classes are unavailable to improve student performance and experiences.

Effect of Nutrition Education on Health Science University Students to Improve Cardiometabolic Profile and Inflammatory Status.

The inadequate lifestyle associated with university life may have a negative impact on various cardiometabolic factors. The aim of this study was to evaluate the effect of a one-year nutrition education course on cardiometabolic parameters in undergraduate health science students. During the 2021-22 academic year, 1.30 h nutrition sessions were conducted twice a week. Capillary blood samples were collected and centrifuged to measure cardiometabolic and inflammatory biomarkers in serum. The sample studied consisted of 49 students: 20.4% male and 79.6% female. The nutritional intervention resulted in changes in dietary patterns, with increased consumption of vegetables, nuts and legumes. After the course, females showed an increase in HDL-cholesterol levels (p = 0.007) and no change in LDL-cholesterol levels (p = 0.189). On the other hand, males showed significant changes in HDL-cholesterol (p = 0.001) and LDL-cholesterol (p = 0.043) levels. The atherogenic index was also significantly reduced (p < 0.001) in both males (p = 0.009) and females (p = 0.002). Differences were also observed in the increase in vitamin D levels in both males and females, although the magnitude of the increase was greater in the men (Δ = 7.94, p = 0.016 in men vs. Δ = 4.96, p = 0.001 in women). The monocyte-to-HDL ratio (MHR) showed a significant reduction, although these differences were only significant in males. Students with low vitamin D levels had higher LDL-cholesterol values (p = 0.01) and atherogenic index (p = 0.029). Adjusted linear regression analysis showed a significant association between post-course vitamin D MHR (β = -0.42, IC: -0.29, -0.06, p < 0.01). These findings suggest the importance of including nutrition education programs during the university stage for the prevention of long-term health problems.

The lockdown experience scale for students (LESS)

BackgroundThe Covid-19 pandemic has resulted in many student populations learning online in lockdown. While the mental health consequences of lockdown are increasingly understood, the core features of ‘cabin fever’ – the experience of lockdown – are poorly described.MethodsWe conducted a questionnaire survey of 649 undergraduate medicine and health sciences students. Item content was developed based on current literature and input from student representatives.ResultsMokken scaling identified seven questions that together formed a strongly unidimensional scale which comprised two domains: social isolation/cabin fever and demotivation / demoralisation. Scale scores were significantly associated with depression, self-rated mental health, impaired study efficacy and doomscrolling.ConclusionsThe adverse effects of lockdown on student wellbeing appear to be driven to an important extent by an experience of isolation and demotivation that corresponds to narrative descriptions of cabin fever. In the foreseeable event of future pandemics, these experiences are a promising target for health promotion in students studying in lockdown.

Polymer Science in Action: Transforming the Learning Experience for Undergraduates with Active Learning Strategies

Active learning is a powerful teaching and learning approach that enhances students' capacity to construct understanding and apply their knowledge in real-world contexts. However, in university science classes, lectures remain the predominant method employed by instructors, primarily due to time constraints and limited familiarity with active learning strategies. This study aimed to explore practical guidelines for implementing active learning in undergraduate polymer science classrooms, as well as the perspectives of instructors and students on this approach and student satisfaction with active learning. The research involved two instructors and 34 second-year students from the Faculty of Science at a university based in Bangkok, Thailand. Data were collected through classroom observation, a student satisfaction questionnaire, and instructor and student interviews. Data were analyzed quantitatively, using means and standard deviations, as well as qualitatively, using content analysis. The study identified four practical guidelines for implementing active learning in the undergraduate polymer science classroom, which are: using a variety of active learning strategies and techniques that match the nature of students; providing helpful learning media and technology; using higher-level questioning to promote thinking processes; and linking authentic assessment and constructive feedback with real-life situations. These four guidelines proved effective for both on-site and online forms of learning. Furthermore, the students expressed very high satisfaction levels (M = 4.64, SD = 0.49) and positive opinions regarding active learning.

Packing soft spheres: experimental demonstrations with hydrogels

Abstract We describe a number of different experimental set-ups that use hydrogel spheres to demonstrate dense packings of deformable spheres in various geometries. The arrangements are similar to those of bubbles in foams, drops in emulsions, biological cells, etc. The experiments are easy to perform in the class-room or an undergraduate science laboratory. They are described in the context of the history of packing problems to which this convenient system, not yet fully explored, can add significant new findings.

Exploring undergraduate students’ perceptions of food animal production and their sense of belonging in an introductory animal science course

New animal science undergraduates are further removed from agriculture than ever before, many coming from non-agricultural backgrounds lacking experience with food animals. In addition to beginning a degree program in which they have little experience, undergraduates face unique challenges during their transition to college, which could impact retention and success in their chosen major. The focal course, Food Animal Science: ANEQ 101, is an introductory animal science course composed primarily of first year animal science students. This course utilized experiential learning by implementing laboratories with dairy calves providing hands-on experience. Pre- and post-surveys were developed to assess students’ perceptions of food animal production, welfare, and sense of belonging in the Animal Science major at the beginning and end of this course that was characterized by hands-on opportunities; quantitative and qualitative analyses were performed on 114 paired survey responses. Respondents were mostly female (79%, n = 91), white (80.7%, n = 92), and from non-agricultural backgrounds (83.3%, n = 95). Despite only half (51.8%, n = 59) of respondents indicating that they had experience with food animals, most respondents indicated that they agreed being comfortable with food animal production (96.5%, n = 110) and working with food animals (95.6%; n = 109); agreement with these statements was similar in the post-survey (P &amp;gt; 0.05). More students agreed with the statement “In the United States, food animals are raised with an acceptable level of animal welfare” (P = 0.016) in the post-survey as compared with the pre-survey. In the pre- and post-survey, questions related to belonging garnered positive responses, consequently, there was no evidence that students’ sense of belonging in the major was altered during the course. Two free-response questions asked respondents to comment on their sense of belonging in the major. Thematic analysis of these answers identified themes related to belonging, including Learning and Curriculum, Career Goals and Aspirations, Passion for Working with Animals, Self-Assurance, and Community and Classroom Environment. The majority of students had positive views about production and their sense of belonging within the major highlighting the value of integrating experiential learning opportunities for students studying animal science.

Security Measures in Meeting Information Needs and Seeking Behaviour of Agricultural Science Students in Nigerian Universities

Security measures play a significant role in the accessibility and use of agricultural information resources among undergraduate science students in Nigeria. This results in overcoming obstacles to valuable information required by agricultural students to cultivate their products that would replicate food substances in the Nigerian economy. Nonetheless, unauthorised individuals have pervaded access to information that is meant for agricultural science students due to a lack of security of such information. There are unlimited assets and products to which agricultural students have access; hence, this paper investigates security measures in meeting information needs and seeking behaviour of agricultural science students in Nigerian universities. The paper employed a qualitative research method based on the explanatory research method. In so doing, the use of a systematic literature review was adopted to examine the information needs and seeking behaviour of agricultural students in Nigeria and again to find out the security measures put in place to ensure valuable information and preventive approaches to unauthorised individuals are sustained. Using a purposive sampling technique, the authors collected articles published between 2015 and 2023 on databases of Emerald and ResearchGate for the review. Findings reveal that agricultural science students in Nigerian universities have a diverse range of preferred information sources. Findings further reveal that students engage in information-seeking behaviour for various purposes, such as course assignments, practical experiments, exam preparation, general reading, discussions, seminars, workshops, conferences, and research projects. Challenges in information-seeking behaviour include inadequate access to current information materials and uncooperative attitudes of librarians and lecturers. The study concludes that security measures are crucial in shaping how students access information. The study recommends that universities ensure a balance between print and electronic resources to cater to students’ varied preferences to accommodate comprehensive support for their research and studies in the university environment. This would enhance sustainable security measures and accessibility to varied information resources for the students.

Examining students’ course trajectories using data mining and visualization approaches

The heterogeneous data acquired by educational institutes about students’ careers (e.g., performance scores, course preferences, attendance record, demographics, etc.) has been a source of investigation for Educational Data Mining (EDM) researchers for over two decades. EDM researchers have primarily focused on course-specific data analyses of students’ performances, and rare attempts are made at the domain level that may benefit the educational institutes at large to gauge and improve their institutional effectiveness. Our work aims to fill this gap by examining students’ transcripts data for identifying similar groups of students and patterns that might associate with these different cohorts of students based on: (a) difficulty level of a course category, (b) formation of course trajectories, and, (c) transitioning of students between different performance groups. We have exploited descriptive data mining and visualization methods to analyze transcript data of 1398 undergraduate Computer Science students of a private university in Pakistan. The dataset includes students’ transcript data of 124 courses from nine distinct course categories. In the end, we have discussed our findings in detail, challenges, and, future work directions.

Computing trust: on writing ‘good’ code in computer science education

ABSTRACT What does it mean to produce trustworthy code for computer scientists? Based primarily on ethnographic fieldwork in an undergraduate computer science program in Singapore, this article explores what it means for computer science students to write ‘good code.’ In doing so, it explores the values that underlie ideas of trust in the computer science discipline. Drawing on the work of Rebecca Bryant, this article shows how, as students learn to become ‘good at’ writing code that is technically functional, aesthetically un-individuated, and decontextually efficient, they also learn to become ‘good’ computer scientists. These standards of good code are distributed across human and nonhuman actors and provide a framework for ‘trustless trust’ in code. That is, while computer science often assumes an omnipresence of mistrust, this article argues that the production of ‘good’ code and ‘good’ computer scientists works to build a system of distrust for computer scientists. At the same time, becoming a good computer scientist is intimately intertwined with students’ selfhoods, undermining the foundation of trustless trust even as the ideal of objectively ‘good’ and trustworthy code cuts this contradiction from view.

Curriculum mapping of a dental materials science course: a reality check and way forward

BackgroundDental materials science is an important subject, but research on curriculum mapping in preclinical dental materials science courses is still scarce. The present study aimed to conduct a curriculum mapping in analysing elements and suggesting recommendations for an institutional dental materials science course.MethodsCurriculum mapping was conducted for the Year 2 undergraduate dental materials science course (Bachelor of Dental Surgery programme) in a Malaysian dental school. Based on Harden’s framework, the following steps were used to map the curriculum of the institutional dental materials science course: (1) scoping the task; (2) deciding the mapping format; (3) populating the windows, and (4) establishing the links. Two analysts reviewed the curriculum independently. Their respective analyses were compared, and discrepancies were discussed until reaching a consensus. A SWOT analysis was also conducted to evaluate the strengths, weaknesses, opportunities, and threats associated with the curriculum.ResultsCourse learning outcomes, course contents, levels of cognitive and psychomotor competencies, learning opportunities, learning resources, learning locations, assessments, timetable, staff, curriculum management and students’ information were successfully scoped from the institutional dental materials science course. The present curriculum’s strengths included comprehensiveness, alignment with standards, adequate learning opportunities, well-defined assessment methods, and sufficient learning resources. However, the identified weaknesses were repetition in curriculum content, limited emphasis on the psychomotor domain, dependency on a single academic staff, and limited integration of technology. The SWOT analysis highlighted the opportunities for curriculum improvement, such as revising repetitive content, emphasising the psychomotor domain, and incorporating advanced teaching strategies and technology.ConclusionsThe present dental materials science curriculum demonstrated several strengths with some areas for improvement. The findings suggested the need to revise and optimise the course content to address gaps and enhance student learning outcomes. Ongoing monitoring and evaluation are necessary to ensure the curriculum remains aligned with emerging trends and advancements in dental materials science.

Interactive word walls for 3D learning: Visually representing the NGSS in elementary science methods courses

AbstractEven though the Next Generation Science Standards (NGSS) were released over a decade ago, science is still infrequently taught in early childhood and elementary classrooms. A lack of teacher confidence due to inadequate content knowledge may be a contributing factor, making access to high‐quality elementary science methods courses even more imperative. This article highlights preservice elementary teachers’ use of an interactive word wall, an instructional strategy that explicitly documented their experiences with disciplinary core ideas, scientific and engineering practices, and crosscutting concepts. Students enrolled in four undergraduate elementary science methods sections participated in the creation, implementation, and evaluation of their classroom's interactive word wall. Through written assignments, classroom discussions, and photographic documentation, students helped to identify seven benefits of using this strategy while collaboratively building their interactive word walls. This article describes the process of setting up the word walls, the students’ choices during the construction of the walls, and their reflections on the benefits and challenges associated with using an interactive word wall at the university level. This article provides teacher educators with a strategy to strengthen students’ understanding of the NGSS framework and encourages preservice teachers to reflect upon how to use this strategy in their future classrooms.

Instructional model for teaching blended math-science sensemaking in undergraduate science, technology, engineering, and math courses using computer simulations

Instructional model for teaching blended math-science sensemaking in undergraduate science, technology, engineering, and math courses using computer simulations