What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach

What Predicts Student Comprehension in Language Learning? Augmenting Student Action with Elapsed Time in an Educational Data Mining Approach

abstract: Reading comprehension is a critical aspect of life in America, but many English language learners struggle with this skill. Enhanced Moved by Reading to Accelerate Comprehension in English (EMBRACE) is a tablet-based interactive learning environment is designed to improve reading comprehen...

Full description

Bibliographic Details
Other Authors:	Dexheimer, Matthew Scott (Author)
Format:	Dissertation
Language:	English
Published:	2017
Subjects:	Computer science Educational Data Mining Language Learning
Online Access:	http://hdl.handle.net/2286/R.I.44155

Similar Items

A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods
by: Sedghi, Elham
Published: (2017)

Application of Data Mining Techniques in Determining the Accuracy of the Models Predicting the Student Academic failure
by: Azadeh Fadavi, et al.
Published: (2020-03-01)

DATA MINING APPROACH FOR PREDICTING STUDENT PERFORMANCE
by: Mirza Suljić, et al.
Published: (2012-05-01)

Methods of teaching educational data mining for pedagogical students
by: E. A. Terbusheva
Published: (2019-07-01)

Data mining query language design and implementation.
Published: (2004)

Supervised data mining approach for predicting student performance
by: Nasir, S.A.M, et al.
Published: (2019)

Augmented intelligence in educational data mining
by: Tapani Toivonen, et al.
Published: (2019-09-01)

Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review
by: Farrukh Aslam Khan, et al.
Published: (2021-01-01)

Exploring Student Academic Performance Using Data Mining Tools
by: Ranjit Paul, et al.
Published: (2020-04-01)

Using Data Mining Techniques to Predict Student Performance to Support Decision Making in University Admission Systems
by: Hanan Abdullah Mengash
Published: (2020-01-01)

Performance Comparison of Data Mining Classification Algorithms for Early Warning System of Students Graduation Timeliness
by: Ari Fadli, et al.
Published: (2018-10-01)

A Study On Profiling Students via Data Mining
by: Mehmet Ali Alan, et al.
Published: (2019-12-01)

Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques
by: Sirwan M. Aziz, et al.
Published: (2019-06-01)

Data Mining of Students' Physical Exercise Based on Cloud Computing
by: Huang, C., et al.
Published: (2022)

A Paradigm-Shifting From Domain-Driven Data Mining Frameworks to Process-Based Domain-Driven Data Mining-Actionable Knowledge Discovery Framework
by: Fakeeha Fatima, et al.
Published: (2020-01-01)

An Analysis of Students’ Learning Interest in Programming Language Based on Data Mining with Fuzzy C-Means Method
by: Sitti Aisa, et al.
Published: (2021-09-01)

Measuring academic performance of students in Higher Education using data mining techniques
by: Alsuwaiket, Mohammed
Published: (2018)

Deciphering elapsed time and predicting action timing from neuronal population signals
by: Shigeru eShinomoto, et al.
Published: (2011-06-01)

Predicted Student Study Period with C4.5 Data Mining Algorithm
by: Agus Supriyanto, et al.
Published: (2021-03-01)

Text Data Augmentation for the Korean Language
by: Kim, J., et al.
Published: (2022)

A DATA MINING APPLICATION IN A STUDENT DATABASE
by: Şenol Zafer Erdoğan, et al.
Published: (2005-07-01)

Predictive Analytics Data Mining in Imbalanced Medical Dataset
by: Dini Hidayatul Qudsi
Published: (2016-11-01)

Predicting and analyzing the performance of students through data mining techniques to improve academic performance
by: M. Ghodoosi, et al.
Published: (2020-09-01)

Forecasting of University Students' Turkish Language Course Exam Results According to Their Exam Preparation Levels
by: Emrah Aydemir, et al.
Published: (2019-12-01)

A Data Mining Approach for Prediction Modeling Using Association rule
by: Sarkhel H.Taher Karim, et al.
Published: (2019-08-01)

Analyzing Student’s Learning Interests in the Implementation of Blended Learning Using Data Mining
by: Yuri Ariyanto, et al.
Published: (2020-10-01)

Introduction: The Time Elapsed
by: Helen Small
Published: (2021-06-01)

THE ENHANCEMENT OF ODL STUDENT RECRUITING CAMPAIGN WITH DATA WAREHOUSE DEVELOPMENT AND DATA MINING TECHNIQUES
by: >Waranya Poonnawat, et al.
Published: (2010-03-01)

The Modern Greek Language on the Social Web: A Survey of Data Sets and Mining Applications
by: Maria Nefeli Nikiforos, et al.
Published: (2021-05-01)

USING ADVANCED DATA MINING AND INTEGRATION IN ENVIRONMENTAL PREDICTION SCENARIOS
by: Ondrej Habala, et al.
Published: (2012-01-01)

Using Advanced Data Mining And Integration In Environmental Prediction Scenarios
by: Habala Ondrej, et al.
Published: (2012-01-01)

Mining multi-faceted data
by: Wan, Chang, et al.
Published: (2014)

Incident Data Analysis Using Data Mining Techniques
by: Veltman, Lisa M.
Published: (2010)

Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques
by: Raza Hasan, et al.
Published: (2020-06-01)

Towards Useful Information from Unstructured Data Mining
by: Adina Barila, et al.
Published: (2021-06-01)

Research on real-time network data mining technology for big data
by: Jing Hu, et al.
Published: (2019-05-01)

Model for detecting excluded students in engineering careers using data mining
by: Alveiro Alonso Rosado Gómez
Published: (2014-01-01)

Integrating top-down and bottom-up approaches in inductive logic programming: applications in natural language processing and relational data mining
by: Tang, Lap Poon Rupert
Published: (2008)

A Data Driven Mine-To-Mill Framework For Modern Mines
by: Erkayaoğlu, Mustafa
Published: (2015)

Techniques in data mining: decision trees classification and constraint-based itemsets mining.
Published: (2001)