Evidence
PLoS One. 2024 Sep 3;19(9):e0307536. doi: 10.1371/journal.pone.0307536. eCollection 2024.
ABSTRACT
Educational Data Mining (EDM) holds promise in uncovering insights from educational data to predict and enhance students’ performance. This paper presents an advanced EDM system tailored for classifying and improving tertiary students’ programming skills. Our approach emphasizes effective feature engineering, appropriate classification techniques, and the integration of Explainable Artificial Intelligence (XAI) to elucidate model decisions. Through rigorous experimentation, including an ablation study and evaluation of six machine learning algorithms, we introduce a novel ensemble method, Stacking-SRDA, which outperforms others in accuracy, precision, recall, f1-score, ROC curve, and McNemar test. Leveraging XAI tools, we provide insights into model interpretability. Additionally, we propose a system for identifying skill gaps in programming among weaker students, offering tailored recommendations for skill enhancement.
PMID:39226285 | DOI:10.1371/journal.pone.0307536
Estimated reading time: 3 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
Cool Evidence: Engaging Young People and Students in Real-World Evidence
Real-Time Evidence Search [Psychiatry]
AI Research
Enhancing tertiary students’ programming skills with an explainable Educational Data Mining approach
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
- Novel glassbox based explainable boosting machine for fault detection in electrical power transmission system
- Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer
- Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data
- Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks
- A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities
- Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation
- Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors
- Insights from explainable AI in oesophageal cancer team decisions
- Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review
- Using machine learning to distinguish between authentic and imitation Jackson Pollock poured paintings: A tile-driven approach to computer vision
- Deep Learning-Based Automated Imaging Classification of ADPKD
- Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage
- Machine learning and explainable artificial intelligence for the prevention of waterborne cryptosporidiosis and giardiosis
- Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification
- Protein ligand binding site prediction using graph transformer neural network
- TCR-H: explainable machine learning prediction of T-cell receptor epitope binding on unseen datasets
- Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management
- Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management
- A study of the effects of four reading styles on college students' mental health and quality of life based on positive psychology-A first-of-its-kind study
- A study of the effects of four reading styles on college students' mental health and quality of life based on positive psychology-A first-of-its-kind study
- Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis
- Complex artificial intelligence models for energy sustainability in educational buildings
- DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation
- Decoding loneliness: Can explainable AI help in understanding language differences in lonely older adults?
- Automated explainable wavelet-based sleep scoring system for a population suspected with insomnia, apnea and periodic leg movement
- Exploring the potential of artificial intelligence to enhance the writing of english academic papers by non-native english-speaking medical students - the educational application of ChatGPT
- Predicting postoperative delirium assessed by the Nursing Screening Delirium Scale in the recovery room for non-cardiac surgeries without craniotomy: A retrospective study using a machine learning approach
- Machine Learning-Assisted Decision Making in Orthopaedic Oncology
- Constructing prediction models and analyzing factors in suicidal ideation using machine learning, focusing on the older population
- Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence
- Collaborative project-based learning in global health: Enhancing competencies and skills for undergraduate nursing students
- AI-Enhanced Dyscalculia Screening: A Survey of Methods and Applications for Children
- Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review
- Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans
- Insights into Detecting Adult ADHD Symptoms Through Advanced Dual-Stream Machine Learning
- Insights into Detecting Adult ADHD Symptoms Through Advanced Dual-Stream Machine Learning
- Insights into Detecting Adult ADHD Symptoms Through Advanced Dual-Stream Machine Learning
- Predictive risk modeling for child maltreatment detection and enhanced decision-making: Evidence from Danish administrative data
- An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis
- Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study
- Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach
- Addressing overlapping sample challenges in genome-wide association studies: Meta-reductive approach
- AI and XAI second opinion: the danger of false confirmation in human-AI collaboration
- Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study
- Developing an explainable diagnosis system utilizing deep learning model: a case study of spontaneous pneumothorax
- Artificial intelligence and machine learning for anaphylaxis algorithms
- An Effective Deep Learning Framework for Fall Detection: Model Development and Study Design
- MiRAGE: mining relationships for advanced generative evaluation in drug repositioning
- Prevalence and associated factors of cigarette smoking and substance use among university entrance test-taking students: A GIS-based study
- Evaluating artificial intelligence for medical imaging: a primer for clinicians
- Innovative Multistage ML-QSAR Models for Malaria: From Data to Discovery
- Deep Learning Prediction of Inflammatory Inducing Protein Coding mRNA in P. gingivalis Released Outer Membrane Vesicles
- Towards artificial intelligence-based disease prediction algorithms that comprehensively leverage and continuously learn from real-world clinical tabular data systems
- An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an externally validated study using machine learning
- Exploring challenges in learning and study skills among first-year medical students: a case study
- AITeQ: a machine learning framework for Alzheimer's prediction using a distinctive five-gene signature
- Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning
- Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning
- A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
- WBi-YOLOSF: improved feature pyramid network for aquatic real-time target detection under the artificial rabbits optimization
- Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study
- Self-Explainable Graph Neural Network for Alzheimer Disease and Related Dementias Risk Prediction: Algorithm Development and Validation Study
- Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study
Evidence Blueprint
Enhancing tertiary students’ programming skills with an explainable Educational Data Mining approach
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Enhancing tertiary students’ programming skills with an explainable Educational Data Mining approach
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Analysis and interpretability of machine learning models to classify thyroid disease
- Ensemble approach of transfer learning and vision transformer leveraging explainable AI for disease diagnosis: An advancement towards smart healthcare 5.0
- eXplainable Artificial Intelligence (XAI) for improving organisational regility
- Novel glassbox based explainable boosting machine for fault detection in electrical power transmission system
- Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer
- Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification
- Explainable artificial intelligence for cough-related quality of life impairment prediction in asthmatic patients
- Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus
- Artificial intelligence-based pulmonary embolism classification: Development and validation using real-world data
- A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals
- Leveraging explainable artificial intelligence to optimize clinical decision support
- Explainable ensemble learning method for OCT detection with transfer learning
- Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks
- Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions
- A machine learning approach for differentiating bipolar disorder type II and borderline personality disorder using electroencephalography and cognitive abnormalities
- Incorporating ChatGPT in Medical Informatics Education: Mixed Methods Study on Student Perceptions and Experiential Integration Proposals
- Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation
- Machine learning in internet financial risk management: A systematic literature review
- A refined approach for evaluating small datasets via binary classification using machine learning
- Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors
- Insights from explainable AI in oesophageal cancer team decisions
- Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review
- Using visual attention estimation on videos for automated prediction of autism spectrum disorder and symptom severity in preschool children
- XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence
- Using machine learning to distinguish between authentic and imitation Jackson Pollock poured paintings: A tile-driven approach to computer vision
- Prediction of attention deficit hyperactivity disorder based on explainable artificial intelligence
- An interpretable machine learning framework for opioid overdose surveillance from emergency medical services records
- JAKCalc: A machine-learning approach to rationalized JAK2 testing in patients with elevated hemoglobin levels
- Comparing and assessing four AI chatbots' competence in economics
- Deep Learning-Based Automated Imaging Classification of ADPKD
- Memristive Explainable Artificial Intelligence Hardware
- From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?
- Interpretation and explanation of computer vision classification of carambola (Averrhoa carambola L.) according to maturity stage
- Machine learning and explainable artificial intelligence for the prevention of waterborne cryptosporidiosis and giardiosis
- Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification
- An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis
- Toward explainable AI (XAI) for mental health detection based on language behavior
- Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients
- Work With ChatGPT, Not Against: 3 Teaching Strategies That Harness the Power of Artificial Intelligence
- Protein ligand binding site prediction using graph transformer neural network
- Digital descriptors sharpen classical descriptors, for improving genebank accession management: A case study on Arachis spp. and Phaseolus spp
- TCR-H: explainable machine learning prediction of T-cell receptor epitope binding on unseen datasets
- Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management
- Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management
- A study of the effects of four reading styles on college students' mental health and quality of life based on positive psychology-A first-of-its-kind study
- A study of the effects of four reading styles on college students' mental health and quality of life based on positive psychology-A first-of-its-kind study
- Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec
- Student psychological well-being in higher education: The role of internal team environment, institutional, friends and family support and academic engagement
- Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis
- Providing insights into health data science education through artificial intelligence
- Effect of academic stress, educational environment on academic performance & quality of life of medical & dental students; gauging the understanding of health care professionals on factors affecting stress: A mixed method study
- Using test-time augmentation to investigate explainable AI: inconsistencies between method, model and human intuition
- Complex artificial intelligence models for energy sustainability in educational buildings
- Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review
- DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation
- Leveraging systematic review practice for research skill development in an undergraduate science course: A case study
- Evaluating Explanations from AI Algorithms for Clinical Decision-Making: A Social Science-based Approach
- Decoding loneliness: Can explainable AI help in understanding language differences in lonely older adults?
- Psychological factors enhanced heterogeneous learning interactive graph knowledge tracing for understanding the learning process
- Automated explainable wavelet-based sleep scoring system for a population suspected with insomnia, apnea and periodic leg movement
- Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
- Exploring the potential of artificial intelligence to enhance the writing of english academic papers by non-native english-speaking medical students - the educational application of ChatGPT
- Predicting postoperative delirium assessed by the Nursing Screening Delirium Scale in the recovery room for non-cardiac surgeries without craniotomy: A retrospective study using a machine learning approach
- Machine Learning-Assisted Decision Making in Orthopaedic Oncology