Educational psychology Using data-driven analysis to improve student performance in high school mathematics| An action research study HOFSTRA UNIVERSITY Karen Osterman PembertonCherieseStudent underperformance in Mathematics is a national problem. Currently our students rank 25out of 30 developed countries. ...
Here, clustering, association rules, classification and outlier detection has been used to evaluate the students performance.S. NiraimathiUmamaheswari. K, S. Niraimathi, "A Study on Student Data Analysis Using Data Mining Techniques", International Journal of Advanced Research in Computer Science ...
If you’re using Nearpod, explore valuable formative assessment options and select the activities that fit best for the topic, student, and you as the teacher. Also, keep in mind that you automatically have access tostudents’ responses in real-time. You can also visit all data and insights ...
Students' informal conversations on social media (e.g. Twitter, Facebook) shed light into their educational experiences opinions, feelings, and concerns about the learning process. Data from such un-instrumented environments can provide valuable knowledge to inform student learning. Analyzing such data...
Additionally we propose a Moodle module that allows automatic extraction of data needed for educational data mining analysis and deploys models developed in this study. 展开 关键词: educational data mining prediction students performance classification clustering Moodle ...
aThe data are analyzed using CATPCA in order to establish the key components of students' experiences. Overall, two key components emerged from the data (representing students' perceptions of what is significant in their project management learning experiences) 数据使用CATPCA被分析为了建立学生的经验关键...
Written for novice researchers and specialists seeking to develop or expand their competency, it will be of value to health institution research divisions, in-service educators and students, and graduate nursing educators and students. 展开 被引量: 11 ...
Acharya S., N Madhu,( 2012 ) " Discovery of students academic patterns using data mining techniques" International Journal of Computer Science and Engineering, Vol 4, no. 06, JShreenath Acharya and N. Madhu, "Discovery of Students' Academic Patterns using Data Mining Techniques", International...
Monday 6/13/2022 •The World of Analytics – BI and Data Analysis•Start with Value and not the Tool•Few Steps to Take for all Your Data Analysis Projects•Microsoft Excel Repeating the Miracle•Excel VLOOKUP•Excel Pivot tables, Charts, Building reports Exploring the world of Analyt...
and they get a unique schedule and curriculum plan for the next day based on the data analysis. The School of One uses the Renzulli framework from the University of Connecticut that allows students to assess what kind of learner they think they are, what kind of learning st...