Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Descriptor
Graphs | 3 |
Laboratory Experiments | 3 |
Computer Simulation | 2 |
Data Analysis | 2 |
Models | 2 |
Science Instruction | 2 |
Visual Aids | 2 |
Animation | 1 |
Authentic Learning | 1 |
Biochemistry | 1 |
Chemistry | 1 |
More ▼ |
Author
Amanda Rae Buchberger | 1 |
André O. Hudson | 1 |
Carla Morais | 1 |
Carlo R. Carere | 1 |
Daniel A. Mak | 1 |
David Coombes | 1 |
David P. Reid | 1 |
Jane R. Allison | 1 |
Natalia Spitha | 1 |
Pamela S. Doolittle | 1 |
Renwick C. J. Dobson | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Researchers | 1 |
Students | 1 |
Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
David P. Reid; Timothy D. Drysdale – IEEE Transactions on Learning Technologies, 2024
The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…
Descriptors: Learning Analytics, Laboratory Experiments, Electronic Learning, Feedback (Response)
Natalia Spitha; Yujian Zhang; Samuel Pazicni; Sarah A. Fullington; Carla Morais; Amanda Rae Buchberger; Pamela S. Doolittle – Chemistry Education Research and Practice, 2024
The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Scientific Principles