Publication Date
In 2025 | 0 |
Since 2024 | 6 |
Descriptor
Source
Advances in Physiology… | 1 |
Chemistry Education Research… | 1 |
Educational Technology… | 1 |
Interactive Learning… | 1 |
International Review of… | 1 |
Learning: Research and… | 1 |
Author
Amanda Rae Buchberger | 1 |
Anna Grady | 1 |
Bin Jing | 1 |
Carla Morais | 1 |
Changcheng Wu | 1 |
Daniel Griffin | 1 |
Frederick Miller | 1 |
Genady Kogan | 1 |
Hadas Chassidim | 1 |
Haojie Wang | 1 |
India Loyd | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Elementary Education | 2 |
Grade 6 | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Genady Kogan; Hadas Chassidim; Irina Rabaev – Educational Technology Research and Development, 2024
The main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants…
Descriptors: Animation, Teaching Methods, Instructional Effectiveness, Learning Experience
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
Ünal Çakiroglu – Learning: Research and Practice, 2024
This quasi-experimental study aims to compare the effects of using combinations of written text, animation and narration in multimedia courseware. 114 sixth grade students assigned in three conditions were participated in the study. Three versions of the courseware with combinations of animation, text and narration were developed taking modality…
Descriptors: Courseware, Computer Assisted Instruction, Multimedia Instruction, Comparative Analysis
Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
Bin Jing; Jinrong Liu; Xue Gong; Yangli Zhang; Haojie Wang; Changcheng Wu – Interactive Learning Environments, 2024
An increasing number of MOOCs use learning videos featuring an instructor and slides, but there are few specific guidelines for the design of instructor images for these videos. A pedagogical agent (PA) is a kind of virtual instructor image in a learning video, and its image design is mostly guided by anthropomorphism. Our research attempts to…
Descriptors: Video Technology, Educational Technology, MOOCs, Imagery
Timothy Rosencrans; Ryan Jones; Daniel Griffin; India Loyd; Anna Grady; Mary Moon; Frederick Miller – Advances in Physiology Education, 2024
Medical students face challenging but important topics they must learn in short periods of time, such as autonomic pharmacology. Autonomic pharmacology is difficult in that it requires students to synthesize detailed anatomy, physiology, clinical reasoning, and pharmacology. The subject poses a challenge to learn as it is often introduced early in…
Descriptors: Pharmacology, Medical Students, Student Attitudes, Web Based Instruction