Advisors assist students in developing successful course pathways through the curriculum. The purpose of this project is to augment advisor institutional and tacit knowledge with knowledge from predictive algorithms (i.e., Matrix Factorization and Classifiers) specifically developed to identify risk. We use a participatory action research approach that directly involves key members from both advising and research communities in the assessment and provisioning of information from the predictive analytics. The knowledge gained from predictive algorithms is evaluated using a mixed method approach. We first compare the predictive evaluations with advisors evaluations of student performance in courses and actual outcomes in those courses We next expose and classify advisor knowledge of student risk and identify ways to enhance the value of the prediction model. The results highlight the contribution that this collaborative approach can give to the constructive integration of Learning Analytics in higher education settings.

UNLABELLED: The nucleotide binding site leucine-rich repeats (NBSLRRs) belong to one of the largest known families of disease resistance genes that encode resistance proteins (R-protein) against the pathogens of plants. Various defence mechanisms have explained the regulation of plant immunity, but still, we have limited understanding about plant defence against different pathogens. Identification of R-proteins and proteins having R-protein-like features across the genome, transcriptome and proteome would be highly useful to develop the global understanding of plant defence mechanisms, but it is laborious and time-consuming task. Therefore, we have developed a support vector machine-based high-throughput pipeline called NBSPred to differentiate NBSLRR and NBSLRR-like protein from Non-NBSLRR proteins from genome, transcriptome and protein sequences. The pipeline was tested and validated with input sequences from three dicot and two monocot plants including Arabidopsis thaliana, Boechera stricta, Brachypodium distachyon Solanum lycopersicum and Zea mays. AVAILABILITY AND IMPLEMENTATION: The NBSPred pipeline is available at http://soilecology.biol.lu.se/nbs/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. CONTACT: [email protected].