scholarly journals Students' Attitudes toward the Application of Mobile Augmented Reality in Higher Education

2020 ◽  
Vol 29 (4) ◽  
pp. 535-554
Author(s):  
Ivan Stojšić ◽  
Anđelija Ivkov-Džigurski ◽  
Olja Maričić ◽  
Jelena Stanisavljević ◽  
Jelena Milanković Jovanov ◽  
...  
Keyword(s):  
Higher Education ◽  
Augmented Reality ◽  
Teaching And Learning ◽  
Positive Attitude ◽  
Science Technology ◽  
Significant Difference ◽  
Stem Students ◽  
Students Attitudes ◽  
Mobile Ar ◽  
And Mathematics

Virtual (VR) and augmented reality (AR) have emerged from the framework of academic and industrial laboratories and have acquired global attention. Currently, the focus shifted from the technologies themselves to finding adequate teaching and learning applications. In this paper, the students' attitudes toward the application of mobile AR (MAR) in higher education (HE) were researched (with a focus on augmented textbooks). The results showed that the students have a mostly positive attitude, and it is concluded that there was no statistically significant difference between the STEM (science, technology, engineering, and mathematics) and non-STEM students' opinions regarding this topic. Based on the results, the further research and integration of this technology into HE settings can be suggested.

Online and Handwritten Homework in Calculus for STEM Majors

2018 ◽  
Vol 57 (6) ◽  
pp. 1513-1533 ◽  
Author(s):  
Lawrence Smolinsky ◽  
Gestur Olafsson ◽  
Brian D. Marx ◽  
Gaomin Wang
Keyword(s):  
Online Homework ◽  
Stem Majors ◽  
Math Scores ◽  
Science Technology ◽  
Significant Difference ◽  
Quasi Experimental ◽  
Stem Students ◽  
And Mathematics ◽  
Assessment Questions ◽  
Large Sections

Calculus is an essential intellectual gateway and initiation in the education of science, technology, engineering, and mathematics (STEM) students. In this study, graded online computer homework was compared with graded handwritten homework in second-semester calculus for STEM students. Previous calculus studies excluded STEM students or compared graded online computer homework with ungraded uncollected handwritten homework. Two large sections and two small sections of Calculus II were studied using a quasi-experimental design. Students were given the same lecture by the same instructor for each class. Students were not aware of the type of homework to be assigned when they registered. Online homework sections used WebAssign, which is one of the most widely used textbook and homework systems. The analysis indicates that there was no significant difference in performance between handwritten and online homework. Assessment questions that required graphical answers provided the greatest contrast between handwritten and online homework and were separately evaluated. Controls were included for entering math scores and a socioeconomic indicator. This study does not find any significant difference due to homework type. As a secondary question, the effect of class size is examined.

scholarly journals Analysis of University STEM Students’ Mathematical, Linguistic, Rhetorical–Organizational Assignment Errors

2021 ◽  
Vol 11 (4) ◽  
pp. 173
Author(s):  
María-José Arévalo ◽  
María Asun Cantera ◽  
Vanessa García-Marina ◽  
Marian Alves-Castro
Keyword(s):  
Foreign Language ◽  
Mother Tongue ◽  
Writing Skills ◽  
Mathematics Students ◽  
Educational Design ◽  
Science Technology ◽  
Communicative Strategies ◽  
Precise Diagnosis ◽  
Stem Students ◽  
And Mathematics

Although Error Analysis (EA) has been broadly used in Foreign Language and Mother Tongue learning contexts, it has not been applied in the field of engineering and by STEM (Science, Technology, Engineering, and Mathematics) students in a systematic way. In this interdisciplinary pilot study, we applied the EA methodology to a wide corpus of exercises and essays written by third-year students of mechanical engineering, with the main purpose of achieving a precise diagnosis of the students’ strengths and weaknesses in writing skills. For the analysis to be as exhaustive as possible, the errors were typologized into three main categories (linguistic, mathematical, and rhetorical–organizational), each of which is, in turn, subdivided into 15 items. The results show that the predominant errors are rhetorical–organizational (39%) and linguistic (38%). The application of EA permits the precise identification of the areas of improvement and the subsequent implementation of an educational design that allows STEM students to improve their communicative strategies, especially those related to the writing skills and, more precisely, those having to do with the optimal use of syntax, punctuation, rhetorical structure of the text, and mathematical coherence.

scholarly journals Problematizing teaching and learning mathematics as “given” in STEM education

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Yeping Li ◽  
Alan H. Schoenfeld
Keyword(s):  
Mathematics Education ◽  
Stem Education ◽  
Teaching And Learning ◽  
Science Technology ◽  
Teaching And Learning Mathematics ◽  
Learning Mathematics ◽  
Alternative Approach ◽  
And Mathematics ◽  
Scientific Engineering

AbstractMathematics is fundamental for many professions, especially science, technology, and engineering. Yet, mathematics is often perceived as difficult and many students leave disciplines in science, technology, engineering, and mathematics (STEM) as a result, closing doors to scientific, engineering, and technological careers. In this editorial, we argue that how mathematics is traditionally viewed as “given” or “fixed” for students’ expected acquisition alienates many students and needs to be problematized. We propose an alternative approach to changes in mathematics education and show how the alternative also applies to STEM education.

Fostering Persistence in Science, Technology, Engineering, and Mathematics (STEM): Creating an Equitable Environment That Addresses the Needs of Undergraduate Students

2022 ◽  
pp. 152102512110735
Author(s):  
Jennifer Louten
Keyword(s):  
Social Support ◽  
Student Retention ◽  
Undergraduate Students ◽  
Real World ◽  
Hispanic Students ◽  
Critical Issue ◽  
Degree Programs ◽  
Science Technology ◽  
Stem Students ◽  
And Mathematics

Student retention is a critical issue for universities, and nearly half of the students who start degree programs in science, technology, engineering, and mathematics (STEM) do not complete them. The current study tracks the progress of STEM students taking part in an entry-to-graduation program designed to build community, provide academic and social support, and promote engagement in academically purposeful activities. Although it had no effect on the number of students who changed their major, the program more than doubled the number of students who graduated in their original major. Black or Hispanic students taking part in the program also graduated at twice the rate of comparator students, largely attributable to the success of women in these groups. The results provide needed real-world insights into how to create an equitable environment that promotes the persistence and graduation of students, including those from groups historically underrepresented in STEM.

Data Analytics and STEM Student Success: The Impact of Predictive Analytics-Informed Academic Advising Among Undeclared First-Year Engineering Students

2018 ◽  
Vol 22 (3) ◽  
pp. 497-521 ◽  
Author(s):  
Yu (April) Chen ◽  
Sylvester Upah
Keyword(s):  
Higher Education ◽  
Student Success ◽  
Academic Advising ◽  
Data Analytics ◽  
Predictive Analytics ◽  
First Year ◽  
Program Of Study ◽  
Science Technology ◽  
Mathematics Student ◽  
And Mathematics

Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success. This study took the first step to investigate the influence of using predictive analytics on academic advising in engineering majors. Specifically, we examined the effects of predictive analytics-informed academic advising among undeclared first-year engineering student with regard to changing a major and selecting a program of study. We utilized the propensity score matching technique to compare students who received predictive analytics-informed advising with those who did not. Results indicated that students who received predictive analytics-informed advising were more likely to change a major than their counterparts. No significant effects was detected regarding selecting a program of study. Implications of the findings for policy, practice, and future research were discussed.

scholarly journals Breaking Boundaries: Pressing Issues in Equity, Computing, and Problem-Solving in STEM Undergraduate Education

2018 ◽  
Vol 4 (1) ◽  
pp. 2-12
Author(s):  
Anna Bargagliotti ◽  
Dorothea Herreiner ◽  
Jefrey A. Phillips
Keyword(s):  
Problem Solving ◽  
Undergraduate Education ◽  
National Science Foundation ◽  
Teaching And Learning ◽  
Main Research ◽  
Science Technology ◽  
The Common ◽  
Research Questions ◽  
And Mathematics ◽  
Education Conference

The April 2017 National Science Foundation-funded Breaking the Boundaries in STEM Education conference brought together Southern California science, technology, engineering and mathematics (STEM) faculty to explore equity, problem-solving, and computing in an interdisciplinary manner. Two main research questions guided the overall scope of the conference: (1) What are the common threads across disciplines to approach the teaching and learning of skills that are relevant in STEM? (2) What are the challenges and barriers that need to be overcome in order to foster collaboration across disciplines to impact the teaching and learning of skills relevant in STEM? We describe the background of the conference and provide an overview of the questions addressed.

scholarly journals Adaptation of the Core CDIO Standards 3.0 to STEM Higher Education

2021 ◽  
Vol 30 (2) ◽  
pp. 9-21
Author(s):  
A. I. Chuchalin
Keyword(s):  
Applied Sciences ◽  
Higher Education ◽  
Engineering Education ◽  
Computer Science ◽  
High Tech ◽  
The Core ◽  
Science Technology ◽  
Postgraduate Studies ◽  
Systematic Training ◽  
And Mathematics

It is proposed to adapt the new version of the internationally recognized standards for engineering education the Core CDIO Standards 3.0 to the programs of basic higher education in the field of technology, natural and applied sciences, as well as mathematics and computer science in the context of the evolution of STEM. The adaptation of the CDIO standards to STEM higher education creates incentives and contributes to the systematic training of specialists of different professions for coordinated teamwork in the development of high-tech products, as well as in the provision of comprehensive STEM services. Optional CDIO Standards are analyzed, which can be used selectively in STEM higher education. Adaptation of the CDIO-FCDI-FFCD triad to undergraduate, graduate and postgraduate studies in the field of science, technology, engineering and mathematics is considered as a mean for improving the system of three-cycle STEM higher education.

scholarly journals An Analysis of Knowledge in STEM: Solving Algebraic Problems

2020 ◽  
Vol 16 (2) ◽  
pp. 131
Author(s):  
Teoh Sian Hoon ◽  
Parmjit Singh Aperar Singh ◽  
Cheong Tau Han ◽  
Nurul Akmal Md Nasir ◽  
Nor Syazwani Mohd Rasid ◽  
...  
Keyword(s):  
Error Analysis ◽  
Undergraduate Students ◽  
Positive Attitude ◽  
Qualitative Approach ◽  
Undergraduate Mathematics Education ◽  
Education Students ◽  
Science Technology ◽  
And Mathematics ◽  
Main Component ◽  
Analysis Of Knowledge

This study was conducted to assess the students’ level of abilities in solving algebraic word problems which is a main component in Science, Technology, Engineering and Mathematics (STEM). It also aims to determine the students’ difficulties in solving these problems by using Newman’s Model of Error Analysis (NMEA). Furthermore, this study was conducted to investigate the attitudes of undergraduate students towards STEM and its relationship to the achievement of the test. The instruments are a test on algebraic problems and a set of questionnaire on attitudes towards STEM. The test which was validated by an expert from a university was adopted and adapted from a problem solving source. The test contained questions from one of the main areas of algebra which focused on two parts namely algebraic knowledge (AK) and algebraic knowledge in the context of science (AKCS).  There were a total of 63 undergraduate mathematics education students who took part in this study. This study was carried out using the mixed-methods qualitative approach. The result showed that the majority of the students have a low level of algebraic knowledge as well as algebraic knowledge in the context of science. For the attitude towards STEM, findings displayed that the majority of the students were interested and gave positive attitude towards STEM. Keywords: algebraic knowledge (AK), algebraic knowledge in the context of science (AKCS), Newman’s Model of Error Analysis (NMEA), attitudes towards STEM

Navigating the Landscape of the STEM Professoriate

2019 ◽  
pp. 22-65
Author(s):  
Pamela M. Leggett-Robinson ◽  
Brandi Campbell Villa
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Women Of Color ◽  
Institutional Racism ◽  
Stem Fields ◽  
Self Presentation ◽  
Science Technology ◽  
Trade Magazines ◽  
And Mathematics ◽  
Theses And Dissertations

In 1976, the challenges faced by women of color who pursue careers in science, technology, engineering, and mathematics (STEM) fields were first brought to national attention. Forty-two years later, the authors re-examine the challenges, barriers, and successes of women of color in STEM higher education. This chapter examines the landscape of the STEM professoriate through a literature review (journals, trade magazines, theses, and dissertations) and reflective shorts and quotes from women of color navigating the STEM professoriate. The literature review spans a 10-year period (2008-2018). Both the review and the reflections focus on the areas of STEM belonging, self-presentation, stereotyping, institutional racism, discrimination, and tokenism as challenges faced by women of color in the STEM professoriate. Additionally, mechanisms used by women of color to navigate and succeed despite these barriers, such as mentoring, are explored throughout.

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