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Direct linkHaley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
Download full textSamson O. Adeoye; Heather Lindberg; B. Bagby; Anne M. Brown; Feras A. Batarseh; Eric K. Kaufman – NACTA Journal, 2023
Cyberbiosecurity is an emerging field at the convergence of life sciences and the digital world. As technological advances improve operational processes and expose them to vulnerabilities in agriculture and life sciences, cyberbiosecurity has become increasingly important for addressing contemporary concerns. Unfortunately, at this time,…
Descriptors: Computer Security, Biology, Biological Sciences, Labor Force Development
Incorporating Coding into the Classroom: An Important Component of Modern Bioinformatics Instruction
Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
Thom Kunkeler; Aletta Nylen – IEEE Transactions on Education, 2024
Contribution: This article applies science capital research to computing education in order to understand why students engage with a programme involving computing, and what they aspire to get out of their education. Background: Capital is a concept which has been used in educational research to study inequality, aspiration and achievement.…
Descriptors: Computer Science Education, Biology, Information Science, Learner Engagement
Emine Turhal; Oktay Bektas – International Journal of Education in Mathematics, Science and Technology, 2025
This research will analyze the issues encountered by two science teachers implementing Arduino-based robotic coding projects. This research employed a case study design. This research has used a criterion sampling group. This study used semi-structured observation, interviews, and video observations as data collection tools. The teachers conducted…
Descriptors: Science Teachers, Teacher Attitudes, Science Instruction, Robotics
Andrea C. Bardales; Quynh Vo; Dmitry M. Kolpashchikov – Journal of Chemical Education, 2024
It has been shown that active learning strategies are effective in teaching complex STEM concepts. In this study, we developed and implemented a laboratory experiment for teaching the concepts of Boolean logic gates, molecular beacon probes, molecular computing, DNA logic gates, microRNA, and molecular diagnosis of hepatocellular carcinoma, which…
Descriptors: Active Learning, STEM Education, Scientific Concepts, Concept Formation
Caughman, Alicia M.; Weigel, Emily G. – CBE - Life Sciences Education, 2022
Quantitative and computational skills are required of 21st-century biologists. While biology student abilities and attitudes toward math have been studied extensively, less is known about corresponding attitudes toward computer science (CS). It is important to understand how students perceive math and CS subjects and whether those perceptions are…
Descriptors: Biology, Mathematics Skills, Computer Literacy, Computer Science Education
John Nesbit; Qing Liu; Joan Sharp; Diana Cukierman; Holly Hendrigan; Daniel Chang; Bahareh Shahabi; Qingyan Deng; Azar Pakdaman Savoji – Journal of Interactive Learning Research, 2024
The Dialectical Map (DMap) is an open-source, web-based argument visualization tool developed and used at a Canadian University to scaffold argument construction. To illustrate the ways that argument mapping can be used in undergraduate courses, this article presents five cases selected from courses in biology, psychology, computing science, and…
Descriptors: Foreign Countries, Undergraduate Students, Open Source Technology, Persuasive Discourse
Amanda A. Barrett; Colin T. Smith; Courtni H. Hafen; Emilee Severe; Elizabeth G. Bailey – Computer Science Education, 2024
Background and Context: While biology has strong female representation, computer science is the least gender equitable of the STEM fields. A better understanding of the barriers that keep women out of computational fields will help overcome those barriers to create a more diverse workforce. Objective: We investigated the complexities that…
Descriptors: Sex Role, Majors (Students), Prior Learning, Computer Science Education
Ozlem Oktay; Ilknur Reisoglu; Seyda Gul; Dilek Teke; Mustafa Sozbilir; Ilayda Gunes; Rumeysa Yildiz; Gulsah Atila; Aysegul Yazar; Lauri Malmi; Päivi Kinnunen; Jarkko Lampiselkä; Arja Kaasinen – Scandinavian Journal of Educational Research, 2025
The aim of this study is to compare the master's (MA) theses in Türkiye (TR) and Finland (FIN) published between 2015-2019. A total of 765 theses were analysed in terms of year, discipline, methodological approach, research method, didactic foci, data collection tool, target group, and sample size. The results showed that FIN theses grounded on…
Descriptors: Foreign Countries, Masters Theses, STEM Education, Intellectual Disciplines
Amanda Peel; Sugat Dabholkar; Gabriella Anton; Mike Horn; Uri Wilensky – Computer Science Education, 2024
Background and Context: To better reflect the computational nature of STEM disciplines and deepen learning of science content computational thinking (CT) should be integrated in science curricula. Teachers have a critical role in supporting effective student learning with CT integrated curricula in classroom settings. Objective: Our team worked…
Descriptors: Biology, Computer Science Education, Science Instruction, Thinking Skills
Bush, Eliot C.; Adolph, Stephen C.; Donaldson-Matasci, Matina C.; Hur, Jae; Schulz, Danae – Journal of College Science Teaching, 2021
This paper describes an introductory biology course for undergraduates that heavily incorporates quantitative problem solving in activities and homework assignments. The course is broken up into a series of units, each organized around a motivating biological question or theme. Homework assignments address the theme or question, and typically…
Descriptors: Biology, Science Instruction, Teaching Methods, Problem Solving
Arastoopour Irgens, Golnaz; Dabholkar, Sugat; Bain, Connor; Woods, Philip; Hall, Kevin; Swanson, Hillary; Horn, Michael; Wilensky, Uri – Journal of Science Education and Technology, 2020
Despite STEM education communities recognizing the importance of integrating computational thinking (CT) into high school curricula, computation still remains a separate area of study in K-12 contexts. In addition, much of the research on CT has focused on creating generally agreed-upon definitions and curricula, but few studies have empirically…
Descriptors: Thinking Skills, Biology, Scores, Pretests Posttests
Sara Genut; Yifat Ben-David Kolikant – Informatics in Education, 2023
Programs in bioinformatics, offered in many academic institutes, are assumed to expand women's representation in computer science (CS). Women's enrolment in these programs is high. Our questions are: Do these programs attract different women from those attracted to CS programs? What factors underlie women's decision to enroll in bioinformatics…
Descriptors: Biology, Information Science, Computer Science Education, Disproportionate Representation
Hodges, Jaret; Mun, Rachel U.; Oveross, Mattie E.; Ottwein, Jessica K. – Gifted Child Quarterly, 2021
Lewis M. Terman's "Genetic Studies of Genius" stands as one of the landmark studies of the 20th century in the educational and psychological sciences. This longitudinal study of individuals in the top 1% of general cognitive ability has sparked interest and debate among scholars for nearly 100 years. In this study, we examine how…
Descriptors: Academically Gifted, Cognitive Ability, Intelligence Quotient, Bibliometrics
