Science, Technology, Engineering And Mathematics Courses Research Articles

Exploring the learning experiences of neurodivergent college students in STEM courses

AbstractNeurodivergent students exhibit an inclination towards Science, Technology, Engineering and Mathematics (STEM) fields, yet their learning experiences in STEM courses remain underexamined. Utilizing an online survey of neurodivergent (n = 60) and neurotypical (n = 83) US college students, this study identified various factors influencing their self‐perceived learning experiences, including interest in the course content, instruction quality and performance outcomes. Compared to their neurotypical peers, neurodivergent students attributed negative experiences in STEM courses less frequently to performance‐related factors and more often to a mismatch between their interests and the course content. Both groups also articulated a variety of strengths and challenges encountered in their STEM studies. Neurodivergent students were more likely to report having interest and passion for STEM and less likely to report having peer support and effective study skills and habits as their primary strength for studying STEM. Conversely, while neurotypical students cited difficult content as their central challenge, neurodivergent students more commonly faced challenges with focus and attention. Despite the study's limited sample size, it revealed emerging patterns that emphasize the importance of developing inclusive teaching methods and specific support mechanisms to cater to the unique strengths and challenges of neurodivergent students in higher education.

Test anxiety's influence on attitudes, confidence and efficacy in STEM courses: a pilot study

PurposeThis pilot study aims to examine the prevalence of test anxiety and its interplay with attitudes, confidence, efficacy, academic performance and socio-demographic factors within the domain of science, technology, engineering and mathematics (STEM) courses.Design/methodology/approachThe authors employed a quantitative, cross-sectional design with 549 sixth-grade students from public lower secondary schools in Prishtina, Kosovo, using the Student Attitudes Toward STEM Survey (S-STEM) for middle/high schools and the test anxiety questionnaire.FindingsOver 70% of Kosovo's sixth-grade students reported moderate to severe test anxiety. The age of students was found to be inversely related to academic performance in STEM. The father's employment was associated with favorable STEM attitudes, confidence, efficacy and academic performance. Having a personal study environment was connected with favorable STEM attitudes, confidence and efficacy in STEM, whereas access to technology was associated with positive academic performance. Test anxiety, academic performance and personal study space predicted students' attitudes, confidence and efficacy in STEM and 21st-century learning.Practical implicationsEducational institutions should prioritize student well-being. By addressing test anxiety, these institutions can create supportive learning environments that improve attitudes, confidence and efficacy in STEM fields. These efforts are crucial for STEM career development and student success in the 21st-century workforce.Originality/valueThe current study findings contribute to a deeper understanding of the factors influencing STEM student engagement and performance, highlighting the importance of addressing test anxiety for positive learning outcomes while emphasizing the need to consider socio-economic and contextual factors in education.

Same Classroom, Different Affordances? Demographic Differences in Perceptions of Motivational Climate in Five STEM Courses

Students vary in their perceptions of teachers’ motivational supports, even within the same classroom, but it is unclear why this is the case. To enable the design of equitable environments and understand the theoretical nature of motivational climate, this study explored demographic differences in university students’ perceptions of instruction across five large, introductory STEM (science, technology, engineering, and mathematics) courses (N = 2,486), along with end-of-semester outcomes. Results indicated that women and students from traditionally underrepresented racial or ethnic groups (Black, Hispanic/Latino/a, or Indigenous students) tended to perceive slightly higher motivational support in their courses compared to men and traditionally overrepresented (White or Asian) students, respectively. However, patterns were not uniform across all courses or variables. Men and women did not significantly differ on end-of-semester interest in any course, but women tended to have lower self-efficacy in some courses and significantly higher grades in programming compared to men. Implications include a caution for researchers against interpreting sample-specific or aggregated evidence of demographic differences as generalizing to broader populations or specific settings.

Enhancing STEM Education through Interactive Metaverses: A Case Study and Methodological Framework

In recent years, the rapid growth of virtual reality has opened up new possibilities for creating immersive virtual worlds known as metaverses. With advancements in technology, such as virtual reality headsets, and the emergence of applications with social interaction, metaverses offer exciting opportunities for STEM (Science, Technology, Engineering, and Mathematics) education. This article proposes the integration of metaverses into STEM courses, enabling students to forge connections between different subjects within their curriculum, to leverage current technological advancements, and to revolutionize project presentations and audience interaction. Drawing upon a case study conducted with students enrolled in the “Proyectos RII 1: Organización y Escenarios” course at the Escuela Politécnica Superior de Alcoy of the Technical University of Valencia (Spain), this article provides a comprehensive description of the methodology employed by the students and professors. It outlines the process followed, shedding light on the innovative use of metaverses in their projects. Moreover, the article shares valuable insights obtained through surveys and personal opinions gathered from students throughout the course and upon its completion. By exploring the intersection of metaverses and STEM education, this study showcases the transformative potential of integrating interactive virtual environments. Furthermore, this work highlights the benefits of increased student engagement, motivation, and collaboration, as well as the novel ways in which projects can be presented and interactions with audiences can be redefined.

Cultivating a Science, Technology, Engineering and Mathematics (STEM) community for two-year college student success and persistence.

Undergraduate students studying Science, Technology, Engineering and Mathematics (STEM) often fail to persist in critical "gateway" courses, resulting in students leaving the STEM pathway. Community college students leave STEM pathways at higher rates than students at universities. Implementation of a program designed to engage community college STEM students and faculty in a community of support was associated with increased persistence in STEM gateway courses and associate degree completion. Program elements included support staff, a STEM study room with peer tutors, faculty advisors, and transfer assistance. Over seven years, 415 students joined this opt-in support program. The majority of students in this program were economically disadvantaged and many were nontraditional college students. Using institutional data we tested the hypothesis that participation in this program was associated with increased student success and persistence in STEM courses and at the college. The mean GPA for students in the program in the ten courses with the highest STEM enrollments was higher (2.89) than that for other students (2.76). Quarter-to-quarter persistence was 87% for program students compared to 67% for non-program students in a matched student population. In STEM gateway courses, program students had between 1.2x to 3.5x greater likelihood than non-program students of progressing to precalculus-2 controlling for first-attempt GPA in precalculus-1. Similar persistence patterns were observed for other gateway STEM courses. Observed persistence for students in the program was higher than comparable groups of students, including persistence for those who experienced early failure in STEM courses. These data suggest students should be supported through early failure to enable persistence in critical STEM sequences, especially in gateway Math and Chemistry courses.

Investigation of Progressive Learning within a Statics Course: An Analysis of Performance Retention, Critical Topics, and Active Participation

Previous research has demonstrated a link between prior knowledge and student success in engineering courses. However, while course-to-course relations exist, researchers have paid insufficient attention to internal course performance development. This study aims to address this gap—designed to quantify and thus extract meaningful insights—by examining a fundamental engineering course, Statics, from three perspectives: (1) progressive learning reflected in performance retention throughout the course; (2) critical topics and their influence on students’ performance progression; and (3) student active participation as a surrogate measure of progressive learning. By analyzing data collected from 222 students over five semesters, this study draws insights on student in-course progressive learning. The results show that early learning had significant implications in building a foundation in progressive learning throughout the semester. Additionally, insufficient knowledge on certain topics can hinder student learning progression more than others, which eventually leads to course failure. Finally, student participation is a pathway to enhance learning and achieve excellent course performance. The presented analysis approach provides educators with a mechanism for diagnosing and devising strategies to address conceptual lapses for STEM (science, technology, engineering, and mathematics) courses, especially where progressive learning is essential.

Perceptions of Lecturers and Engineering Students of Sophism and Paradox: The Case of Differential Equations

One of the important topics that many STEM (science, technology, engineering, and mathematics) students learn at the tertiary level is differential equations (DEs). Previous studies have explored students’ perceptions of engaging in puzzle tasks in STEM courses; however, no study has explored lecturers’ and students’ perceptions toward using sophism and paradox tasks in teaching mathematics courses, including DEs. This study explores DEs lecturers’ and undergraduate engineering students’ perceptions of using sophism and paradox tasks in the teaching and learning of DEs. The perceptions of 17 lecturers and 134 undergraduate engineering students of sophism and paradox tasks were explored using a questionnaire and semi-structured interviews. The findings showed that more than 50% of lecturers and students perceived that sophism and paradox tasks are enjoyable and entertaining activities which improve students’ mathematical understanding and problem-solving skills, and enhance thinking skills. The findings suggest that sophism and paradox tasks can be used along with routine problems in teaching DEs to provide good opportunities for students to participate more effectively in classroom discussions and motivate them to learn DEs.

The STEM pipeline: pathways and influences on participation and achievement of equity groups

ABSTRACT Skills in science, technology, engineering and mathematics (STEM) are promoted by the Australian government as pivotal for Australia’s economic prosperity. Research on equity groups suggests that group membership is associated with several factors linked to ‘leakage’ from the STEM pipeline of school, university and transition to work. In this paper we draw on longitudinal Australian data to understand what factors influence the participation of equity group students in university STEM courses, and to explore how the STEM pathways of those groups differ from those of non-equity students. We identified several important factors which influence participation at two critical points of the STEM pipeline; transition from school into university, and transition from university into the STEM workforce. Our results indicated that higher levels of mathematics self-concept and instrumental valuing of mathematics in early adolescence predict continuation in the STEM pathway for all students and particularly those from low socioeconomic status backgrounds.

Investigating the challenges faced by female students in STEM courses: case study of a traditional South African University

The paper investigated the challenges faced by female students enrolled in the Science, Technology, Engineering and Mathematics (STEM) field of study. The social cognitive theory (SCCT) was employed to examine the role played by the environment, goals, behaviour, and self-efficacy factors of female students studying towards Engineering and Information Technology degrees at a traditional South African university. The study examined the interdependencies between these four factors and their role in female students’ success in STEM courses at the university. The finding revealed that female students possess the selfefficacy required to excel in their studies, despite overt or covert hostilities and other challenges they face during their study. The data analysis indicate that female students need the support of their families in achieving their goals. The fear of disappointing parents or family members if they fail to obtain their qualifications seem to be a key motivation to female students in STEM courses. It is recommended that all stakeholders be positively involved in ensuring that female students in the STEM fields get the needed support. Such support, in tandem with their self-efficacy, outcome expectations and goal setting, will ensure that they overcome obstacles and are adequately equipped to realise their dream of achieving qualifications in this critical segment of the economy.

Enriching Traditional Higher STEM Education with Online Teaching and Learning Practices: Students’ Perspective

In this paper, we aim to identify online teaching and learning practices that would be beneficial for blended and traditional on-campus education within STEM (Science, Technology, Engineering, and Mathematics) courses. Our university, as well as the majority of higher education institutions worldwide, has had few to no experience in delivering full online courses before 2020. The teaching process was, however, severely affected and modified by the COVID-19 pandemic, forcing an abrupt and unprepared shift towards online education. In this work, we look at the pandemic as causing a very favorable side effect that forced the university to study, test, apply, and evaluate the benefits and drawbacks of online education and assessment methods. The study is a result of joint efforts from different departments at the University of Aveiro, Portugal, connected to STEM undergraduate and graduate programs and is based on a questionnaire targeted towards students. In total, 167 valid STEM students’ answers have been collected and analyzed, both quantitatively and qualitatively. As the result, the best teaching and learning practices are identified and the main difficulties and obstacles experienced by students are detected. Some of the problems are common to many higher education institutions, such as the lack of teacher preparation in delivering quality online synchronous and asynchronous classes, technical limitations (network bandwidth/weak equipment), ineffective communication during synchronous classes, gaps in student skills, and low activity of some students and even teachers. We believe that the presented results would allow for improving future on-campus, distance, and blended learning courses, particularly through avoiding less effective teaching and assessment methods and favoring those techniques that students consider more efficient. This ultimately would lead to a more rewarding teaching/learning experience.

Factors Associated with the Development of Secondary School Students’ Interest towards STEM Studies

The aim of this study is to investigate the predictive factors that predispose secondary school students’ interest in studying STEM (Science, Technology, Engineering, and Mathematics) fields in higher education. For this purpose, an already existing questionnaire was used and modified properly, according to the Greek educational system. The survey was attended by 301 secondary school students, who study in Piraeus, one of the largest cities in Greece. Research findings indicated that the principles of Social Cognitive Career Theory (SCCT) are well supported. It is worth mentioning that this is the first time that such a number of variables had been examined, in order to support the SCCT. In particular, very few studies exist in literature—to the best of our knowledge—investigating the effect of more than four factors influencing students’ interest towards STEM higher studies. Learning experiences, students’ exposure to STEM activities within the school environment and outside of it (OR = 0.071, p = 0.002), as well as their involvement with high difficulty STEM courses (OR = 0.203, p = 0.038), appear to be positively correlated with the development of interest towards studies in the STEM fields. In addition, students from low-income families are more likely to follow STEM studies (OR = 0.198, p = 0.034). On the contrary, it has been revealed that parental educational background only supports the student’s decision to continue studies after high school, without specifying the educational field in higher education (OR = 0.769, p = 0.703; father’s educational level, OR = 0.698, p = 0.552; mother’s educational level). Data revealed that outcome expectations and self-efficacy (OR = 14.366, p = 0.005) are positively related to the procedure of students’ interest development to pursue STEM fields in higher education, while gender seems to be a non-regulatory factor (OR = 0.886, p = 0.831).

Flipped laboratory classes: Student performance and perceptions in undergraduate food science and technology

AbstractIn STEM (science, technology, engineering, and mathematics) courses, undergraduate laboratory classes are vital for students to develop competencies such as critical observation, collaboration, critical thinking, technical, and problem‐solving skills. Thus, for students to successfully acquire these competencies, preparation for laboratory classes is essential. This study aimed to explore the students' performance and perceptions of online pre‐laboratory videos and quizzes in undergraduate food science and technology. Quantitative data on student usage statistics of the videos, student performance in online quizzes and practical reports scores and student perceptions were analysed to provide a detailed perspective of the course. The students' performance was above 60% in all pre‐lab quizzes for both the 2018 and 2019 cohorts. The average pre‐lab video views were higher in the 2019 cohorts compared to the 2018 cohort. The majority of the students felt that the topics were well explained in the videos (M = 4.25 ± 0.84) and it was easy to learn from the videos (M = 4.31 ± 0.76). In terms of students perceptions, a strong positive correlations were found between course organisation and motivation and self‐efficacy (r = 0.86, p < 0.05); course engagement and motivation and self‐efficacy (r = 0.82, p < 0.05). The strongest positive correlation was between course organisation and online engagement (r = 0.95, p < 0.05). The results of this study suggest that the introduction of multimodal/digital preparation resources (pre‐lab videos and online quizzes) was positively received and benefited the students. Students have engaged enthusiastically with these resources and completed the majority of the tasks set. These findings will further expand research directed towards student perception of the lab experience and aid in the adaptation of food science and technology curriculums to accommodate both student and university needs.

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities.

Nowadays, how to encourage students' reflective thinking is one of the main concerns for teachers at various educational levels. Many students have difficulties when facing tasks that involve high levels of reflection, such as on STEM (Science, Technology, Engineering and Mathematics) courses. Many also have deep-rooted anxiety and demotivation towards such courses. In order to overcome these cognitive and affective challenges, researchers have suggested the use of "Problem-Solving before Instruction" (PS-I) approaches. PS-I consists of giving students the opportunity to generate individual solutions to problems that are later solved in class. These solutions are compared with the canonical solution in the following phase of instruction, together with the presentation of the lesson content. It has been suggested that with this approach students can increase their conceptual understanding, transfer their learning to different tasks and contexts, become more aware of the gaps in their knowledge, and generate a personal construct of previous knowledge that can help maintain their motivation. Despite the advantages, this approach has been criticized, as students might spend a lot of time on aimless trial and error during the initial phase of solution generation or they may even feel frustrated in this process, which might be detrimental to future learning. More importantly, there is little research about how pre-existing student characteristics can help them to benefit (or not) from this approach. The aim of the current study is to present the design and implementation of the PS-I approach applied to statistics learning in undergraduate students, as well as a methodological approach used to evaluate its efficacy considering students' pre-existing differences.

A STEM Course Analysis During COVID-19: A Comparison Study in Performance and Affective Domain of PSTs Between F2F and F2S Flipped Classroom.

Due to the worldwide COVID-19 pandemic, university education has faced a significant challenge that requires adaptation to virtual and online education. Here, a fruitful flipped methodology with increased popularity can support adaption to and improvement of the current pandemic situation. This research presents a comparison of two different instruction situations with an identical teaching methodology, face-to-face (F2F) and face-to-screen (F2S) flipped methodology, in terms of students' performance and affective domain in a science, technology, engineering and mathematics (STEM) course. It was considered and designed as an examination of 132 pre-service teachers (PSTs), with 68 and 64 PSTs respectively for each group. The first group before the pandemic was applied by F2F flipped classroom and the second group after the pandemic was applied by F2S flipped classroom. The results after pertaining various data analyses of class activities and questionaries showed that performance had been improved for both groups toward the course. In addition, F2F had a significant difference in PSTs' emotion and perception toward the course and made classes more interactive. The mean score values of students' emotion and perception between two groups showed that the difference between these mean values were significant, suggesting a very large effect. Particularly, the effect size (ES) showed that positive emotions were more significant with different variables and the items Q7–Q9 of questionnaires indicated more significant different perceptions for both F2F and F2S after completing the course. Finally, the principal component analysis (PCA) test described that F2F answers were located mainly in the positive emotion, while F2S answers were grouped in the negative emotion, while no differences were observed for PSTs perceptions to the flipped methodology. Consequently, although F2F–F2S transition was an effective process, instructors and PSTs faced difficulties in the platform usage for online lectures reflecting emotions' results in F2S group. Thus, by solving the problems raised, it will allow PSTs to be more interactive in a virtual and online context for their future implementation by giving them active instruction methodology and educating future students to teach STEM contents.

An analysis of Italian university students\u2019 performance through segmented regression models: gender differences in STEM courses

This paper investigates gender differences in university performances in Science, Technology, Engineering and Mathematics (STEM) courses in Italy, proposing a novel application through the segmented regression models. The analysis concerns freshmen students enrolled at a 3-year STEM degree in Italian universities in the last decade, with a focus on the relationship between the number of university credits earned during the first year (a good predictor of the regularity of the career) and the probability of getting the bachelor degree within 4 years. Data is provided by the Italian Ministry of University and Research (MIUR). Our analysis confirms that first-year performance is strongly correlated to obtaining a degree within 4 years. Furthermore, our findings show that gender differences vary among STEM courses, in accordance with the care-oriented and technical-oriented dichotomy. Males outperform females in mathematics, physics, chemistry and computer science, while females are slightly better than males in biology. In engineering, female performance seems to follow the male stream. Finally, accounting for other important covariates regarding students, we point out the importance of high school background and students’ demographic characteristics.

Embedded Experts Supporting Instructional Practice of Faculty Transitioning from Industry to Academia

The transition from industry to academia can present unique challenges for new faculty members in STEM (Science, Technology, Engineering, and Mathematics) fields. Considering high drop, fail, withdraw (DFW) rates in undergraduate STEM courses and the need to increase the number of well-prepared graduates in these areas, it is important to better understand the needs of early-career faculty transitioning from outside of academia in order to support their development as effective scholars and educators. This study, which utilizes a Scholarship of Teaching and Learning (SoTL) framework, focuses on the experiences, views, and needs of two engineering faculty members who have recently moved from industry to academia. Findings inform practice and indicate a common lack of knowledge about new faculty’s teaching requirements, a need for personalized support structures for incoming faculty members, and a shift toward active approaches to teaching students when such supports are provided. In this process, leveraging an embedded experts model and acknowledging and understanding students’ needs through active listening emerged as important factors in faculty’s growth and personal development during their first semester in academia.

Learners’ Perceptions of the Influence of Teachers’ Nonverbal Communication on Their Aspirations to Pursue STEM Courses

This paper reports the results of a study that investigated secondary school learners’ perceptions of the influence of their science and mathematics teachers’ nonverbal communication on their aspirations to pursue Science, Technology, Engineering and Mathematics (STEM) related courses in institutions of higher learning. The study further investigated if there were gender differences in learners’ perceptions. The nonverbal aspects of communication focused on were teachers’ actions in class and their dressing and grooming. A sample of 465 form three secondary school learners was selected using stratified simple random sampling technique, out of whom 221 were female while 244 were male from Nakuru County, Kenya. Data was collected using a secondary school learner’s questionnaire. The reliability of the questionnaire was estimated using Cronbach alpha and yielded a coefficient of 0.88. The findings show that learners’ perceived their teachers’ nonverbal communication moderately influences their aspirations to pursue STEM. However, the perception on the influence of maintaining eye contact when asking and responding to questions and being always clean and neat were high. Therefore, science and mathematics teacher education programs should enhance pre and in service teacher awareness of the effect of their nonverbal behaviour on their learners. The Teachers Service Commission which is the national teacher regulator and employer in Kenya should ensure that the policy guidelines on teachers’ dressing and grooming are straightforwardly interpreted by all teachers and properly enforced.

Context and Implications Document for: Recruitment to STEM studies: The roles of curriculum reforms, flexibility of choice, and attitudes

Context and Implications Document for: Recruitment to STEM studies: The roles of curriculum reforms, flexibility of choice, and attitudes

The Oswald-Gentile Model of Instruction: A Holistic Approach

The purpose of this article is to introduce a comprehensive instructional model that takes into consideration three frameworks for designing instruction (Universal Design for Learning, Understanding by Design, and the 7E Learning Cycle) and incorporates Technological Pedagogical and Content Knowledge and Mindset (attitudes, beliefs, dispositions toward teaching and learning) that serves to advance STEM (Science, Technology, Engineering, and Mathematics) instruction with pre-service teachers. The proposed model will be used in teaching pre-service prek-12 teachers in the following courses: Mathematics Methods, Science Methods, Human Development and Learning Theory, and Classroom Management. It explores how the frameworks, TPaCK, and Mindset can be integrated to form a holistic and interdisciplinary model for designing instruction, particularly in STEM courses. Each framework has a different focus, which is discussed, along with how TPaCK and Mindset can influence how one uses the framework to design instruction. Among these frameworks, there exists a convergence of pedagogy, instructional design, planning, and strategic use of technology that provides an opportunity for a holistic, interdisciplinary approach to designing instruction that serves both teacher and student: teachers in becoming more effective instructors, and students in becoming more effective learners. A brief review of each framework, TPaCK and Mindset is included as well as the description of The Oswald-Gentile Model of Instruction, a holistic approach to designing instruction that takes into consideration both the learner and the teacher.

Developing students’ scientific literacy through an e-portfolio project at a community college gateway science course

ABSTRACT Gateway science courses are an ongoing obstacle to recruitment into STEM (Science, Technology, Engineering, and Mathematics) fields, in part due to the large gains in vocabulary that are fundamental to scientific literacy. Students also struggle to achieve the technological literacy necessary for a STEM career. We implemented an ePortfolio-based project in 12 sections of General Biology I (n = 164) at an urban community college. This project was designed to aid students at integrating general biology vocabulary around a central topic – an organism of their choice – while also increasing their facility in using ePortfolio. We assessed the effectiveness of the project using a set of 17 survey questions, 12 of which were also delivered to control sections. Students responded positively to the project, and the project was effective at increasing scientific literacy and understanding of the technological platform. However, the project did not help students make gains in technological literacy. This project demonstrates that integrating general course-specific vocabulary around a central topic may be useful in helping students succeed in gateway STEM courses.