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Harmer, Nicholas J.; Hill, Alison M. – Journal of Chemical Education, 2021
The COVID-19 pandemic necessitated the move to online teaching and assessment. This has created challenges in teaching laboratory skills and producing assessments that are robust and fair. Our solution was to use bespoke laboratory videos to provide laboratory training and to generate unique data sets for each student in coursework and exams. For…
Descriptors: Pandemics, COVID-19, Science Instruction, Teaching Methods
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Tovar, Glomen – Biochemistry and Molecular Biology Education, 2018
A software to calculate the net charge and to predict the isoelectric point (pI) of a polypeptide is developed in this work using the graphical programming language LabVIEW. Through this instrument the net charges of the ionizable residues of the chains of the proteins are calculated at different pH values, tabulated, pI is predicted and an Excel…
Descriptors: Graduate Students, Computer Software, Biochemistry, Scientific Concepts
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Peiris, K. Dharini Amitha; Gallupe, R. Brent – Decision Sciences Journal of Innovative Education, 2018
Recommender-driven online learning systems (ROLS) are at the forefront of new computer-based learning. They incorporate machine learning to allow learning-by-doing, generating personalized recommendations in the process. This article describes the evaluations of a new type of online learning systems, ROLS. This evaluation was carried out in three…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming Languages, Conventional Instruction
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Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
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Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2022
No-code/low-code app development is transforming traditional information system development paradigms. This teaching tip uses an example of course unit of decision support systems (DSS) to demonstrate that introducing no-code system implementation assignments into a course as a replacement for computer programming language exercises can improve…
Descriptors: Information Systems, Information Science Education, Programming Languages, Teaching Methods
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Lockwood, J. R.; Castellano, Katherine E.; McCaffrey, Daniel F. – Journal of Educational and Behavioral Statistics, 2022
Many states and school districts in the United States use standardized test scores to compute annual measures of student achievement progress and then use school-level averages of these growth measures for various reporting and diagnostic purposes. These aggregate growth measures can vary consequentially from year to year for the same school,…
Descriptors: Accuracy, Prediction, Programming Languages, Standardized Tests
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So, Joseph Chi-ho; Wong, Adam Ka-lok; Tsang, Kia Ho-yin; Chan, Ada Pui-ling; Wong, Simon Chi-wang; Chan, Henry C. B. – Journal of Technology and Science Education, 2023
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students' particulars such as their academic background, current study and student activity records, their attended higher education institution's expectations of graduate attributes and self-assessment of their own generic…
Descriptors: Pattern Recognition, Artificial Intelligence, Higher Education, College Students
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Savonen, Candace; Wright, Carrie; Hoffman, Ava M.; Muschelli, John; Cox, Katherine; Tan, Frederick J.; Leek, Jeffrey T. – Journal of Statistics and Data Science Education, 2023
Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…
Descriptors: Open Source Technology, Multiple Choice Tests, Summative Evaluation, Formative Evaluation
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Menke, Erik J. – Journal of Chemical Education, 2020
UC Merced's upper-division analytical chemistry course has been modified to include a series of Jupyter notebooks intended to introduce chemistry students to the Python computer language. These Jupyter notebooks were designed to cover a wide variety of topics common to quantitative and instrumental analysis. Assuming no prior programming…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
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Statter, David; Armoni, Michal – ACM Transactions on Computing Education, 2020
Abstraction is one of the most fundamental ideas in computer science (CS), and as such, according to Bruner, it should be taught spirally, starting as early as possible and revisited at every level of education. However, teaching CS abstraction to novices is a very challenging task, and CS educational research has often demonstrated students'…
Descriptors: Middle School Students, Grade 7, Computer Science Education, Abstract Reasoning
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Taylor, Matthew S.; Vasquez, Eleazar; Donehower, Claire – Journal of Special Education Technology, 2017
Students of all ages and abilities must be given the opportunity to learn academic skills that can shape future opportunities and careers. Researchers in the mid-1970s and 1980s began teaching young students the processes of computer programming using basic coding skills and limited technology. As technology became more personalized and easily…
Descriptors: Programming, Down Syndrome, Elementary School Students, Case Studies
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Papadakis, Stamatios; Kalogiannakis, Michail; Orfanakis, Vasileios; Zaranis, Nicholas – International Journal of Web-Based Learning and Teaching Technologies, 2017
Teaching programming is a complex task. The task is even more challenging for introductory modules. There is an ongoing debate in the teaching community over the best approach to teaching introductory programming. Visual block-based programming environments allow school students to create their own programs in ways that are more accessible than in…
Descriptors: Introductory Courses, Programming, Elementary Education, Secondary Education
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Kisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
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Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
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