Potential of active learning in dentistry: A comparative study of Jigsaw versus inquired-based learning.

OBJECTIVE: To compare the efficacy of Jigsaw and Inquiry-Based Learning (IBL) methods in promoting effective learning outcomes within diverse dental educational settings. METHODS: A total of 188 dental undergraduate students were recruited for the study and divided into Batch A (n = 96) and Batch B (n = 92). Each batch underwent two teaching sessions, one using the Jigsaw method and the other using IBL. A structured questionnaire using five-point Likert scales assessed students' preferences between the two methods. Pre- and post-intervention tests were conducted to measure knowledge acquisition. Statistical analysis was performed using Student's t-test with STATA version 17, with a p-value of < 0.05 considered significant. RESULTS: Both Jigsaw and IBL methods significantly improved students' knowledge, with mean scores showing a significant difference before and after interventions (p < 0.001). IBL was more effective in comprehensive topic coverage (99.46%) and enhancing subject understanding. Both methods yielded comparable outcomes in terms of improving communication skills. The Jigsaw method was simpler and more enjoyable, encouraging active participation and enhancing communication skills. IBL promoted critical thinking, research skills, and deeper comprehension of concepts. CONCLUSION: Jigsaw and IBL methods are both effective in enhancing dental education. The choice between these methods depends on the specific learning objectives, the complexity of the topic, and the preferences of the dental educator and students.

Mining genomic regions associated with agronomic and biochemical traits in quinoa through GWAS.

Quinoa (Chenopodium quinoa Willd.), an Andean crop, is a facultative halophyte food crop recognized globally for its high nutritional value and plasticity to adapt to harsh conditions. We conducted a genome-wide association study on a diverse set of quinoa germplasm accessions. These accessions were evaluated for the following agronomic and biochemical traits: days to 50% flowering (DTF), plant height (PH), panicle length (PL), stem diameter (SD), seed yield (SY), grain diameter (GD), and thousand-grain weight (TGW). These accessions underwent genotyping-by-sequencing using the DNBSeq-G400R platform. Among all evaluated traits, TGW represented maximum broad-sense heritability. Our study revealed average SNP density of ≈ 3.11 SNPs/10 kb for the whole genome, with the lowest and highest on chromosomes Cq1B and Cq9A, respectively. Principal component analysis clustered the quinoa population in three main clusters, one clearly representing lowland Chilean accessions, whereas the other two groups corresponded to germplasm from the highlands of Peru and Bolivia. In our germplasm set, we estimated linkage disequilibrium decay to be ≈ 118.5 kb. Marker-trait analyses revealed major and consistent effect associations for DTF on chromosomes 3A, 4B, 5B, 6A, 7A, 7B and 8B, with phenotypic variance explained (PVE) as high as 19.15%. Nine associations across eight chromosomes were also found for saponin content with 20% PVE by qSPN5A.1. More QTLs were identified for PL and TGW on multiple chromosomal locations. We identified putative candidate genes in the genomic regions associated with DTF and saponin content. The consistent and major-effect genomic associations can be used in fast-tracking quinoa breeding for wider adaptation across marginal environments.