Development of a medicinal chemistry e-module using a team-based learning strategyDevelopment of a medicinal chemistry e-module using a team-based learning strategy

Many pharmacy students consider Medicinal Chemistry a complex subject due to its abstract concepts and highly technical content. This study aimed to develop a digital e-module tailored to the characteristics and needs of vocational pharmacy students and to implement it using a Team-Based Learning (TBL) strategy to enhance engagement and motivation. The development process adopted the Rowntree model, consisting of planning, writing, and evaluation phases. Subject matter and media experts designed and validated six thematic submodules. The readability score was computed using the Gunning Fog Index, while additional evaluations were performed through usability testing (face-to-face) and field implementation. Expert and student assessments indicated that this e-module was rated “Very Good” in terms of content, design, and visual aspects. The mean readability score of 9.8 suggested appropriate textual complexity for the undergraduate level. By engaging students further through TBL, motivation, participation, and comprehension increased, as demonstrated by perception scores across four learning domains. Both the structured e-modules and collaborative learning worked in unison to transform what is traditionally perceived as a hard-to-teach subject into an interactive and enjoyable experience. Future studies should include multimedia enhancements and investigate broader implementation across other complex pharmaceutical courses.

Authors

Institutions

Publication Details

Journal
JINoP (Jurnal Inovasi Pembelajaran)
Published
2025-05-09
DOI
https://doi.org/10.22219/jinop.v11i1.28934
Citations
1
Primary Topic
Problem and Project Based Learning
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a medicinal chemistry e-module using a team-based learning strategyDevelopment of a medicinal chemistry e-module using a team-based learning strategy

Sesilia Rante Pakadang, Ida Adhayanti
1 citations
JINoP (Jurnal Inovasi Pembelajaran)
Problem and Project Based Learning
8.93
article

Development of a medicinal chemistry e-module using a team-based learning strategyDevelopment of a medicinal chemistry e-module using a team-based learning strategy

Sesilia Rante Pakadang, Ida Adhayanti
article en
1 citations

Abstract

Many pharmacy students consider Medicinal Chemistry a complex subject due to its abstract concepts and highly technical content. This study aimed to develop a digital e-module tailored to the characteristics and needs of vocational pharmacy students and to implement it using a Team-Based Learning (TBL) strategy to enhance engagement and motivation. The development process adopted the Rowntree model, consisting of planning, writing, and evaluation phases. Subject matter and media experts designed and validated six thematic submodules. The readability score was computed using the Gunning Fog Index, while additional evaluations were performed through usability testing (face-to-face) and field implementation. Expert and student assessments indicated that this e-module was rated “Very Good” in terms of content, design, and visual aspects. The mean readability score of 9.8 suggested appropriate textual complexity for the undergraduate level. By engaging students further through TBL, motivation, participation, and comprehension increased, as demonstrated by perception scores across four learning domains. Both the structured e-modules and collaborative learning worked in unison to transform what is traditionally perceived as a hard-to-teach subject into an interactive and enjoyable experience. Future studies should include multimedia enhancements and investigate broader implementation across other complex pharmaceutical courses.

JINoP (Jurnal Inovasi Pembelajaran)Vol. 11(1)
Institut Kesenian Makassar (ID)
Openalex Percentile: Top 4%
Problem and Project Based Learning
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.