The possibility of predicting learning performance using features of note taking activities and instructions in a blended learning environment

@article{Nakayama2017ThePO,
  title={The possibility of predicting learning performance using features of note taking activities and instructions in a blended learning environment},
  author={Minoru Nakayama and Kouichi Mutsuura and Hiroh Yamamoto},
  journal={International Journal of Educational Technology in Higher Education},
  year={2017},
  volume={14},
  pages={1-14}
}
A formative assessment was introduced to a blended learning course in order to predict participant’s learning performance using measurements of their note taking activity and metrics of their attitudes. The lexical metrics were created by analyzing the contents of student’s notes from every class, and by measuring their characteristics. In the results of two types of regression analysis of these measurements, features of note taking activities were a significant source of information for… 
Using Note Taking Instructions to Reform Student's Note Taking Activities and Improve Learning Performance in a Blended Learning Course
Lexical feature patterns of notes students took during a blended learning course were classified and the student's transitions between clusters were analysed using a formative evaluation. The lexical
Contributions of Student’s Assessment of Reflections on the Prediction of Learning Performance
TLDR
The effectiveness of learner's reflections on their learning activity was evaluated by predicting final exam scores using indices of participant's reflections, metrics of learning activity and student's characteristics and the contribution of factors of reflection on the prediction of learning performance was confirmed.
Changes in note taking patterns during blended and fully online learning courses
TLDR
Note taking patterns were summarised in order to represent the features of learning activities during a blended and a fully online course and their characteristics and their learning performance were compared between clusters which represented note taking behaviour.
Analysis of Relationship Between Students’ Creative Skill and Learning Performance
TLDR
The aim of the paper is to explore the relationship between students’ creative ability and learning performance through solving classification problems and Dataset is used for decision-making models creation through utilization of three machine learning algorithms: J48, AdaBoost.M1 and RandomTree.
Students' Beliefs Regarding the Use of E-portfolio to Enhance Cognitive Skills in a Blended Learning Environment
TLDR
The current state of using e-portfolios to enhance cognitive skills in the Blended Learning Environment (BLE) was at average level, while the needs were at the high level.
Insights of Instructors and Advisors into an Early Prediction Model for Non-Thriving Students
In this qualitative study (N=6), we explored insights of first-year students’ instructors and advisors into an early identification system aimed at detecting non-thriving students in the context of
Polarity, emotions and online activity of students and tutors as features in predicting grades
TLDR
This work divides the moodle data sets from an annual postgraduate program at the Hellenic Open University in six periods for each section, and implements data mining techniques to analyze the activity, polarity and emotions of tutors and students in order to predict students’ grades.
On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining
TLDR
This study demonstrates how a generic predictive model can be developed that identifies at-risk students across a wide variety of courses and showed that the CatBoost algorithm performed the best on the dataset across the F-measure, ROC and AUC scores.
Identification of Cognitive Activities That Underlie Variations in Lecture Note-Taking: An Exploration of Japanese and Chinese High School Students’ Strategies in Mathematics Class
Lecture note-taking has been proven beneficial for learning at different educational levels. Previous studies have largely focused on the relationship between the outcomes of note-taking on a blank
...
...

References

SHOWING 1-10 OF 33 REFERENCES
The prediction of learning performance using features of note taking activities
TLDR
According to the results of this prediction performance, features of notetaking activities are a significant source of information to predict the score of final exams.
Lexical Analysis of Student’s Learning Activities during the Giving of Instructions for Note-Taking in a Blended Learning Environment
TLDR
According to the results of a lexical analysis of the contents of notes taken by students, the lecturer’s instructions had a significant effect on some of the indices of features of note-taking.
Evaluation of Student’s Notes in a Blended Learning Course
TLDR
Conceptual mapping of the contents of notes was conducted, and it suggests that the deviation in the features of notes can be explained by the number of terms in a lesson.
Impact of Learner’s Characteristics and Learning Behaviour on Learning Performance During a Fully Online Course
A fully online learning environment requires effective learning management in order to promote pro-active education. Since student's notes are a reflection of the progress of their education,
Detecting Incomplete Learners in a Blended Learning Environment Among Japanese University Students
To examine the feasibility of identifying incomplete participants who had not eventually completed a course in a blended learning environment using current learning behavioral data, access log data
Causal Analysis of Student's Characteristics of Note-Taking Activities and Learning Performance during a Fully Online Course
TLDR
The causal relationships between student's characteristics, note-taking skills, learning experience, note assessment and test scores are presented and key factors and their contributions to course performance can be measured.
The Impact of Learner Characteristics on Learning Performance in Hybrid Courses among Japanese Students.
To improve the management of hybrid courses, the relationship between learner characteristics and learning performance was analyzed in two regular university courses. Undergraduate and graduate
Note-Taking Evaluation using Network Illustrations based on Term Co-Occurrence in a Blended Learning Environment
TLDR
Note contents taken by students during a blended learning course were evaluated, to improve the quality of university instruction and possible applications for visualizing learning activities of the lecturer and students are discussed.
Student note-taking related to university examination performance
Student note-taking is an almost universal activity among university students, yet few naturalistic studies have examined relationships between note-taking practices and subsequent examination
...
...