Search Results - computer program testing data processing.
Search alternatives:
- program testing »
- testing data »
-
681
-
682Published 1994Table of Contents: “...Clausen -- Invariants in process algebra with data / M. Bezem and J.F. Groote -- Testing-based abstractions for value-passing systems / R. ...”
Connect to the full text of this electronic book
Conference Proceeding eBook -
683
-
684by Schulman, Joseph, 1950-Table of Contents: “...Paper-based patient records -- Computer-based patient records -- Aims of a patient data management process -- Data, information, and knowledge -- Single tables and their limitations -- Multiple tables: where to put the data, relationships among tables, and creating a database -- Relational database management systems: normalization (Codd's rules) -- From data model to database software -- Integrity: anticipating and preventing data accuracy problems -- Queries, forms, and reports -- Programming for greater software control -- Turning ideas into a useful tool: eNICU, point of care database software for the NICU -- Making eNICU serve your own needs -- Single versus multiple users -- Backup and recovery: assuring your data persists -- Security: controlling access and protecting patient confidentiality -- Asking questions of a data set: crafting a conceptual framework and testable hypothesis -- Stata: a software tool to analyze data and produce graphical displays -- Preparing to analyze data -- Variable types -- Measurement values vary: describing their distribution and summarizing them quantitatively -- Data from all versus some: populations and samples -- Estimating population parameters: confidence intervals -- Comparing two sample means and testing a hypothesis -- Type I and type II error in a hypothesis test, power, and sample size -- Comparing proportions: introduction to rates and odds -- Stratifying the analysis of dichotomous outcomes: confounders and effect modifiers; the Mantel-Haenszel method -- Ways to measure and compare the frequency of outcomes, and standardization to compare rates -- Comparing the means of more than two samples -- Assuming little about the data: nonparametric methods of hypothesis testing -- Correlation: measuring the relationship between two continuous variables -- Predicting continuous outcomes: univariate and multivariate linear regression -- Predicting dichotomous outcomes: logistic regression, and receiver operating characteristic -- Predicting outcomes over time: survival analysis -- Choosing variables and hypotheses: practical considerations....”
Published 2006
Connect to the full text of this electronic book
Contributor biographical information
Publisher description
Table of contents
eBook -
685
-
686
-
687
-
688
-
689
-
690
-
691
-
692
-
693
-
694Published 2021Table of Contents: “...Theory and Reviews Difficulties and disparities to distance learning during Covid-19 period for deaf students - A proposed method to eradicate inequalities -- Wide-scale Automatic Analysis of 20 Years of ITS Research -- A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs -- Models DiKT: Dichotomous Knowledge Tracing -- CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level -- Learning Logical Reasoning Using an Intelligent Tutoring System: Improving the Student Model with a data driven approach -- Checking Method for Fake News to Avoid the Twitter Effect -- Comparing Bayesian Knowledge Tracing Model Against Naïve Mastery Model -- Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums -- Concept Maps Creating and Visualising Cognitive Maps of Knowledge Diagnosis During the Processing of Learning Digital Footprint -- Integrating Knowledge in Collaborative Concept Mapping: Cases in an Online Class Setting -- An evaluation of a meaningful discovery learning support system for supporting E-book user in pair learning -- Semantic Comparison of Concept Maps for Structuring Learning Activities -- Student Prediction Next week dropout prediction in MOOCs: weekly assessment of time and learning patterns -- Internet of Things (IoT) Based Support System for Diabetic Learners in Saudi Arabian High Schools -- Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification -- Analysis of Learners' Comments: an Automated Intervention Priority Model for MOOC -- Early Predictor for Student Success Based on Behavioural and Demographical Indicators -- Predicting Certification in MOOCs based on Students' Weekly Activities -- Learner Behaviour Recognizing Novice Learners' Modeling Behaviors -- Novice, and Intermediate Performance: Exploring the Relationship Between Clinical Reasoning Behaviors and Diagnostic Performance -- Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students -- Investigating Clues for Estimating ICAP States based on Learners' Behavioural Data during Collaborative Learning -- Behaviour Analytics - A Moodle Plug-in to Visualize Students' Learning Patterns -- Toward an ITS to enhance novice clinician situational awareness based on expert perception behaviors in clinical reasoning -- Feedback and Personalisation Flexible Program Alignment to Deliver Data-Driven Feedback to Novice Programmers -- Interaction of human cognitive mechanisms and "computational intelligence" in systems that support teaching mathematics -- Learning Path Construction Using Reinforcement Learning and Bloom's Taxonomy -- Customizing Feedback using Semantic Clusters -- Voice Privacy with Smart Digital Assistants in Educational Settings -- An Intelligent Tutoring System for Psychomotor Development -- Assessment Automated Assessment of Learning Objectives in Programming Assignments -- Ex-Ante and Ex-Post Feature Evaluation of Online Courses Using the Kano Model -- Automated Summary Scoring with ReaderBench -- Automated Paraphrase Quality Assessment using Recurrent Neural Networks and Language Models -- Groups, Teams, Social, Crowd and Communities XGBoost and Deep Neural Network comparison: The case of teams' performance -- Using Graph Embedding to Monitor Communities of Learners -- The Influence of Five Personality Traits on the Interactive Model of Online Group Formation -- New Horizons on Online Tutoring System Inspired by Teaching Strategies and Learning Styles -- A Comparative Evaluation of the Effect of Social Comparison, Competition, and Social Learning in Persuasive Technology on Learning -- Sovereignty by personalization of information search: collective wisdom influences my knowledge -- Games and Gamification Confusion detection within a 3D adventure game -- Representation of generalized human cognitive abilities in a sophisticated student leaderboard -- Learning and Gamification Dashboards: a Mixed-Method Study with Teachers -- Encouraging Teacher-sourcing of Social Recommendations Through Participatory Gamification Design -- Automatic Adaptive Sequencing in a Webgame -- Towards Smart Edutainment Applications for Young Children. ...”
Connect to the full text of this electronic book
eBook -
695
-
696
-
697
-
698
-
699
-
700