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Shin-Yu Kim; Inseong Jeon; Seong-Joo Kang – Journal of Chemical Education, 2024
Artificial intelligence (AI) and data science (DS) are receiving a lot of attention in various fields. In the educational field, the need for education utilizing AI and DS is also being emerged. In this context, we have created an AI/DS integrating program that generates a compound classification/regression model using characteristics of compounds…
Descriptors: Chemistry, Science Instruction, Laboratory Experiments, Artificial Intelligence
Axel Langner; Lea Sophie Hain; Nicole Graulich – Journal of Chemical Education, 2025
Often, eye-tracking researchers define areas of interest (AOIs) to analyze eye-tracking data. Although AOIs can be defined with systematic methods, researchers in organic chemistry education eye-tracking research often define them manually, as the semantic composition of the stimulus must be considered. Still, defining appropriate AOIs during data…
Descriptors: Organic Chemistry, Science Education, Eye Movements, Educational Research
Elizabeth B. Cerkez – Journal of Chemical Education, 2024
Specifications Grading was implemented in a multisection upper-level analytical chemistry laboratory, the first reported for a full lab course redesign in the discipline or in an upper-level chemistry lab class. The primary goals of the redesign were (1) to assess student proficiency of three separate goals: techniques, data quality, and written…
Descriptors: Grading, Chemistry, Science Education, Science Laboratories
Joseph Chiarelli; Melissa A. St. Hilaire; Brandi L. Baldock; Jimmy Franco; Stephen Theberge; Anthony L. Fernandez – Journal of Chemical Education, 2025
There is a growing need for chemistry students to be able to handle and manipulate large datasets and analyze them in an efficient and accessible way. This creates the need to develop course materials that introduce these topics early in the undergraduate curriculum. To address this growing need, this activity introduced RStudio to students…
Descriptors: Chemistry, Science Instruction, College Science, Undergraduate Students
Annabelle T. Lolinco; Thomas A. Holme – Journal of Chemical Education, 2024
Technological tools, like virtual assistants (aka chatbots), have been ubiquitous in people's day to day. The challenge becomes how educators leverage digital omnipresence to benefit the learning environment. Using a curated chatbot allows educators to reach more students with instructor-approved information, particularly in large classrooms.…
Descriptors: Help Seeking, Chemistry, Artificial Intelligence, Technology Uses in Education
Yan Wang; Peng He; Jinling Geng; Zhiwei Zhu – Journal of Chemical Education, 2025
This paper presents an innovative teaching approach that integrates photoelectric technology with analytical chemistry instruction through inquiry-based learning (IBL), using cerium as a selected analyte. With the advancement of science and technology, a strong foundation of basic knowledge and methodologies is crucial in analytical chemistry…
Descriptors: Instructional Innovation, Chemistry, Science Instruction, Active Learning
Margaret K. Meadows – Journal of Chemical Education, 2024
This paper describes the design, implementation, and evaluation of an inquiry-based laboratory for sophomore-level organic chemistry into a mostly cookbook, existing laboratory curriculum. For the laboratory, students were required to generate their own procedures and use their own recorded data from prior laboratory assignments to identify an…
Descriptors: Active Learning, Inquiry, Laboratory Experiments, Chemistry
Monsurat M. Lawal; Tugba G. Kucukkal – Journal of Chemical Education, 2024
An undergraduate-level Computational Chemistry project was incorporated initially into a Physical Chemistry course and then into the laboratory curriculum in the subsequent application. Before the introduction of the project, the lectures covered quantum chemistry, spectroscopy, and kinetics while simultaneously including computational chemistry…
Descriptors: Chemistry, Science Instruction, Computation, Active Learning