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Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning
by
Abelardo Pardo
, Robert A. Ellis
, Feifei Han
in
Academic Achievement
/ Academic learning
/ Analysis
/ Analytics
/ At Risk Students
/ Blended Learning
/ Cognitive Style
/ College Faculty
/ Correlation
/ Data Analysis
/ Data processing
/ Educational environment
/ Educational evaluation
/ Educational Improvement
/ Educational Quality
/ Educational Technology
/ Electronic Learning
/ Engineering Education
/ Engineering Technology
/ Environment
/ Experiential learning
/ Factor Analysis
/ Foreign Countries
/ Full Length Articles
/ Grades (Scholastic)
/ Higher Education
/ Influence of Technology
/ Learning
/ Learning Analytics
/ Learning Experience
/ Learning experiences
/ Learning Processes
/ Learning Strategies
/ Learning Theories
/ Management Systems
/ Mathematical analysis
/ Measurement Techniques
/ Methods
/ Multiple Regression Analysis
/ Multivariate Analysis
/ Observation
/ Observational learning
/ Online learning
/ Outcomes of Education
/ Performance prediction
/ Postsecondary education
/ Prediction
/ Qualitative Research
/ Questionnaires
/ Research Universities
/ Self report
/ Self reporting
/ Statistical Analysis
/ Student Attitudes
/ Student Characteristics
/ Student Experience
/ Student Improvement
/ Study Process Questionnaire - Revised (SPQ2F)
/ Undergraduate Students
/ Web analytics
2017
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Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning
by
Abelardo Pardo
, Robert A. Ellis
, Feifei Han
in
Academic Achievement
/ Academic learning
/ Analysis
/ Analytics
/ At Risk Students
/ Blended Learning
/ Cognitive Style
/ College Faculty
/ Correlation
/ Data Analysis
/ Data processing
/ Educational environment
/ Educational evaluation
/ Educational Improvement
/ Educational Quality
/ Educational Technology
/ Electronic Learning
/ Engineering Education
/ Engineering Technology
/ Environment
/ Experiential learning
/ Factor Analysis
/ Foreign Countries
/ Full Length Articles
/ Grades (Scholastic)
/ Higher Education
/ Influence of Technology
/ Learning
/ Learning Analytics
/ Learning Experience
/ Learning experiences
/ Learning Processes
/ Learning Strategies
/ Learning Theories
/ Management Systems
/ Mathematical analysis
/ Measurement Techniques
/ Methods
/ Multiple Regression Analysis
/ Multivariate Analysis
/ Observation
/ Observational learning
/ Online learning
/ Outcomes of Education
/ Performance prediction
/ Postsecondary education
/ Prediction
/ Qualitative Research
/ Questionnaires
/ Research Universities
/ Self report
/ Self reporting
/ Statistical Analysis
/ Student Attitudes
/ Student Characteristics
/ Student Experience
/ Student Improvement
/ Study Process Questionnaire - Revised (SPQ2F)
/ Undergraduate Students
/ Web analytics
2017
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Do you wish to request the book?
Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning
by
Abelardo Pardo
, Robert A. Ellis
, Feifei Han
in
Academic Achievement
/ Academic learning
/ Analysis
/ Analytics
/ At Risk Students
/ Blended Learning
/ Cognitive Style
/ College Faculty
/ Correlation
/ Data Analysis
/ Data processing
/ Educational environment
/ Educational evaluation
/ Educational Improvement
/ Educational Quality
/ Educational Technology
/ Electronic Learning
/ Engineering Education
/ Engineering Technology
/ Environment
/ Experiential learning
/ Factor Analysis
/ Foreign Countries
/ Full Length Articles
/ Grades (Scholastic)
/ Higher Education
/ Influence of Technology
/ Learning
/ Learning Analytics
/ Learning Experience
/ Learning experiences
/ Learning Processes
/ Learning Strategies
/ Learning Theories
/ Management Systems
/ Mathematical analysis
/ Measurement Techniques
/ Methods
/ Multiple Regression Analysis
/ Multivariate Analysis
/ Observation
/ Observational learning
/ Online learning
/ Outcomes of Education
/ Performance prediction
/ Postsecondary education
/ Prediction
/ Qualitative Research
/ Questionnaires
/ Research Universities
/ Self report
/ Self reporting
/ Statistical Analysis
/ Student Attitudes
/ Student Characteristics
/ Student Experience
/ Student Improvement
/ Study Process Questionnaire - Revised (SPQ2F)
/ Undergraduate Students
/ Web analytics
2017
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Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning
Journal Article
Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning
2017
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Overview
The field of education technology is embracing a use of learning analytics to improve student experiences of learning. Along with exponential growth in this area is an increasing concern of the interpretability of the analytics from the student experience and what they can tell us about learning. This study offers a way to address some of the concerns of collecting and interpreting learning analytics to improve student learning by combining observational and self-report data. The results present two models for predicting student academic performance which suggest that a combination of both observational and self-report data explains a significantly higher variation in student outcomes. The results offer a way into discussing the quality of interpretations of learning analytics and their usefulness for helping to improve the student experience of learning and also suggest a pathway for future research into this area.
Publisher
International Forum of Educational Technology & Society,National Sun Yat-Sen University,International Forum of Educational Technology & Society
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