Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Testing the Impact of Novel Assessment Sources and Machine Learning Methods on Predictive Outcome Modeling in Undergraduate Biology
Authors
Keywords
-
Journal
Journal of Science Education and Technology
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-01-05
DOI
10.1007/s10956-020-09888-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Identifying cognitive deficits in cocaine dependence using standard tests and machine learning
- (2019) Said Jiménez et al. PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
- Statistical and machine learning methods evaluated for incorporating soil and weather into corn nitrogen recommendations
- (2019) Curtis J. Ransom et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Variable selection in omics data: A practical evaluation of small sample sizes
- (2018) Alexander Kirpich et al. PLoS One
- Improving Performance Prediction on Education Data with Noise and Class Imbalance
- (2017) Akram M. Radwan et al. INTELLIGENT AUTOMATION AND SOFT COMPUTING
- Predicting congenital heart defects: A comparison of three data mining methods
- (2017) Yanhong Luo et al. PLoS One
- Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS
- (2017) Rianne Conijn et al. IEEE Transactions on Learning Technologies
- Data-driven system to predict academic grades and dropout
- (2017) Sergi Rovira et al. PLoS One
- The ASA's Statement onp-Values: Context, Process, and Purpose
- (2016) Ronald L. Wasserstein et al. AMERICAN STATISTICIAN
- Development and Validation of the Conceptual Assessment of Natural Selection (CANS)
- (2016) Steven T. Kalinowski et al. CBE-Life Sciences Education
- Relationship between employment histories and frailty trajectories in later life: evidence from the English Longitudinal Study of Ageing
- (2016) Wentian Lu et al. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
- Clicker Score Trajectories and Concept Inventory Scores as Predictors for Early Warning Systems for Large STEM Classes
- (2015) Un Jung Lee et al. Journal of Science Education and Technology
- Gender Gaps in Achievement and Participation in Multiple Introductory Biology Classrooms
- (2014) Sarah L. Eddy et al. CBE-Life Sciences Education
- Ten-Year Effects of the Advanced Cognitive Training for Independent and Vital Elderly Cognitive Training Trial on Cognition and Everyday Functioning in Older Adults
- (2014) George W. Rebok et al. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
- Cross-validation pitfalls when selecting and assessing regression and classification models
- (2014) Damjan Krstajic et al. Journal of Cheminformatics
- Increasing Student Success Using Online Quizzing in Introductory (Majors) Biology
- (2013) Rebecca Orr et al. CBE-Life Sciences Education
- Assessing Scientific Practices Using Machine-Learning Methods: How Closely Do They Match Clinical Interview Performance?
- (2013) Elizabeth P. Beggrow et al. Journal of Science Education and Technology
- A comparative study of variable selection methods in the context of developing psychiatric screening instruments
- (2013) Feihan Lu et al. STATISTICS IN MEDICINE
- Principled missing data methods for researchers
- (2013) Yiran Dong et al. SpringerPlus
- Reasoning About Natural Selection: Diagnosing Contextual Competency Using the ACORNS Instrument
- (2012) Ross H. Nehm et al. AMERICAN BIOLOGY TEACHER
- Harnessing Technology to Improve Formative Assessment of Student Conceptions in STEM: Forging a National Network
- (2011) Kevin C. Haudek et al. CBE-Life Sciences Education
- On the choice of the best imputation methods for missing values considering three groups of classification methods
- (2011) Julián Luengo et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study
- (2010) Andrea Marshall et al. BMC Medical Research Methodology
- A combinational incremental ensemble of classifiers as a technique for predicting students’ performance in distance education
- (2010) S. Kotsiantis et al. KNOWLEDGE-BASED SYSTEMS
- Ensemble-based classifiers
- (2009) Lior Rokach ARTIFICIAL INTELLIGENCE REVIEW
- Mining LMS data to develop an “early warning system” for educators: A proof of concept
- (2009) Leah P. Macfadyen et al. COMPUTERS & EDUCATION
- Peaks and decays of student knowledge in an introductory E&M course
- (2009) Eleanor C. Sayre et al. Physical Review Special Topics-Physics Education Research
- The use of formative online quizzes to enhance class preparation and scores on summative exams
- (2008) John L. Dobson ADVANCES IN PHYSIOLOGY EDUCATION
- Missing Data Analysis: Making It Work in the Real World
- (2008) John W. Graham Annual Review of Psychology
- Early and dynamic student achievement prediction in e-learning courses using neural networks
- (2008) Ioanna Lykourentzou et al. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started