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Jie Yang; Yi Yuan; Na Wang; Xuehui Liu; Jing Gu; Rong Zeng; Mouxin Huang; Pengfei Zheng; Yuanqiang Wang; Chunji Huang; Qin Ouyang – Journal of Chemical Education, 2024
The utilization of virtual compound libraries and virtual screening has become a routine method in drug discovery and has accelerated the research of pharmacy and translational medicine. With the development of computer-aided drug design (CADD), it is essential to incorporate virtual experiments into the education of medicinal chemistry. Herein,…
Descriptors: Chemistry, Medicine, Science Education, Science Laboratories
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McGowan, Ian S. – International Association for Development of the Information Society, 2020
Upto now, the knowledge building influence of the fundamental communicative functions during an on-line collaborative learning (OLCL) session, i.e. argumentative, responsive, elicitative, informative and imperative have been mainly based on results from qualitative studies, results that could have been strengthened by quantitative approaches.…
Descriptors: Higher Education, Online Courses, Cooperative Learning, Computer Science Education
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Secret, Mary; Bryant, Nita L.; Cummings, Cory R. – Journal of Educators Online, 2017
Our paper describes the design and delivery of an online interdisciplinary social science research methods course (ISRM) for graduate students in sociology, education, social work, and public administration. Collaborative activities and learning took place in two types of computer-mediated learning environments: a closed Blackboard course…
Descriptors: Teaching Methods, Interdisciplinary Approach, Graduate Study, Social Science Research
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement