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Linjing Wu; Shuang Yu; Qingtang Liu; Junmin Ye; Xinxin Zheng; Jianhu Wang – Journal of Computing in Higher Education, 2025
Interdisciplinary collaboration is widely used in research, industry, and education. Understanding the differences in cognitive processes between cross-discipline and same-discipline groups can improve instruction in collaborative learning. In this study, students volunteered to participate in cross-discipline or same-discipline collaborative…
Descriptors: Intellectual Disciplines, Cooperative Learning, Comparative Analysis, Interdisciplinary Approach
James Lamb; Tim Fawns; Joe Noteboom; Jen Ross – Higher Education Research and Development, 2025
Ideas of space within higher education are changing, influenced by pedagogical innovation, emerging technologies, and the experiences of the COVID-19 pandemic. This is most obvious in the expansion of hybrid education, where teaching happens simultaneously both online and on the physical campus. Hybrid learning spaces emerge from dynamic,…
Descriptors: Foreign Countries, Graduate Students, College Faculty, Blended Learning
Jenna A. P. Sim; Mary E. Jung; Rishma Chooniedass; Jannik Haruo Eikenaar – Journal of Teaching and Learning, 2024
Equity, diversity, and inclusion (EDI) gaps persist in science, technology, engineering, and math (STEM) fields, as demonstrated by the discrimination, stereotyping, and inequities that historically and persistently marginalized groups face. Recognition of this gap led a transdisciplinary team to develop foundational-level e-learning modules,…
Descriptors: Foreign Countries, Diversity Equity and Inclusion, Learning Modules, STEM Education
Nievergelt, Yves – PRIMUS, 2021
Answering a call by the "Common Vision" for instructional material to "establish stronger connections with other disciplines" and "work with professional-level technology tools," the present article shows how various aspects of fitting circles to data fit in existing courses from basic calculus to advanced calculus.
Descriptors: Mathematics Instruction, College Mathematics, Calculus, Undergraduate Study
Thompson, JaCoya; Arastoopour Irgens, Golnaz – Journal of Statistics and Data Science Education, 2022
Data science is a highly interdisciplinary field that comprises various principles, methodologies, and guidelines for the analysis of data. The creation of appropriate curricula that use computational tools and teaching activities is necessary for building skills and knowledge in data science. However, much of the literature about data science…
Descriptors: Data Analysis, Middle School Students, Statistics Education, Student Centered Learning
Mendoza, Dayra Fallad; Kerl, Elizabeth – Learning Assistance Review, 2021
In fall of 2017, the Center for Academic Program Support at the University of New Mexico revamped its Online Learning Assistant (OLA) Program, which focuses on embedding undergraduate peer tutors in multidisciplinary fully online courses. Students who had an OLA during the Spring 2020 and Fall 2020 semesters, were surveyed to better understand the…
Descriptors: Academic Support Services, Online Courses, Interdisciplinary Approach, Computer Assisted Instruction
Iwasaki, Patsy Y. – IAFOR Journal of Education, 2021
Information about the overall documentary filmmaking process is available; however, there is a lack of literature and educational resources about how to conduct subject research and data collection. As documentary filmmaking becomes an increasingly democratic endeavor due to technology, and information distribution and education use increases,…
Descriptors: Film Study, Documentaries, Computer Assisted Instruction, Teaching Methods
Johnson, Shereé M.; Owens, Tamara L.; O'Neil, Jahn N. – Advances in Physiology Education, 2019
Although human patient simulation (HPS) began more than a decade ago, substantial evidence argues for increased use of simulation in teaching basic science courses, such as physiology and the full integration of simulation into medical school curricula so as to benefit both educators and learners. The introduction and application of simulation in…
Descriptors: Physiology, Medical Education, Simulation, Case Method (Teaching Technique)
Suárez-Gómez, Andrés-David; Pérez-Holguín, Wilson Javier – Journal of Technology and Science Education, 2020
Educational robotics has become one of the most effective methods to teach STEM concepts in a practical and didactic way at all educational level. In this context, the LEGO Mindstorms robotic platforms have been widely used due to their versatility ease of use and modularity. Despite this, most of the papers focus on K-12 and undergraduate levels,…
Descriptors: Visualization, Teaching Methods, Educational Experience, Mathematics Instruction
Siem Buseyne; Amelie Vrijdags; Annelies Raes – International Journal of Designs for Learning, 2023
Collaborative Problem Solving (CPS) skills are receiving increased attention in the current workforce and in lifelong learning. In learning and labor contexts, successful teamwork is however not always guaranteed, due to several reasons, such as an unequal level of individual participation. Training in CPS for all groups is therefore needed.…
Descriptors: Problem Solving, Cooperative Learning, Labor Force Development, Teamwork
Sidou, Lais Feltrin; Borges, Endler Marcel – Journal of Chemical Education, 2020
Principal component analysis (PCA) is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. Running a PCA results in two main elements, the score plot and the loading plot; the score plot provides the location of the samples, and the loading plot indicates correlations among variables, the trends in…
Descriptors: Factor Analysis, Chemistry, Science Instruction, Teaching Methods
Saltz, Jeffrey; Skirpan, Michael; Fiesler, Casey; Gorelick, Micha; Yeh, Tom; Heckman, Robert; Dewar, Neil; Beard, Nathan – ACM Transactions on Computing Education, 2019
This article establishes and addresses opportunities for ethics integration into Machine-learning (ML) courses. Following a survey of the history of computing ethics and the current need for ethical consideration within ML, we consider the current state of ML ethics education via an exploratory analysis of course syllabi in computing programs. The…
Descriptors: Ethics, Interdisciplinary Approach, Course Descriptions, Computer Science Education
Suvorov, Ruslan; Gruba, Paul – Language Learning & Technology, 2023
Grounded in the three-tiered transdisciplinary SLA framework of the Douglas Fir Group (2016), we explore how the concept of 'semiotic resources' may be integrated into CALL activity designs. Starting at the macro level, we discuss how language ideology may influence where to situate semiotic resources within initial design considerations. We next…
Descriptors: Semiotics, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Losada-Gutierrez, Cristina; Espinosa, Felipe; Santos-Perez, Carlos; Marron-Romera, Marta; Rodriguez-Ascariz, Jose Manuel – IEEE Transactions on Education, 2020
Hands-on experimentation has widely demonstrated its efficacy in engineering training, especially in control formation, since experimentation using computer-aided control system design (CACSD) tools is essential for future engineers. In this context, this article describes a case study for Control Engineering formation, based on a new lab practice…
Descriptors: Case Studies, Robotics, Student Motivation, Computer Assisted Instruction
Yong, Lou – International Education Studies, 2020
Embedded system is an interdisciplinary, profound foundation and practice-oriented course; at present, in the traditional teaching mode, embedded systems in colleges and universities generally have problems such as disconnected theory and practice, outdated assessment methods, and low enthusiasm of students. Arming to cultivate compound embedded…
Descriptors: Engineering Education, Teaching Methods, Student Projects, Active Learning