using the right algorithm by RapidMiner

18 months

CAMPS

DESIGHN

TRAINING

IMP (METHD, MATERIALS)

TESTING

EVALUATION

Generate reports for decision makers

Confidential agreements for data sharing and gathering

Data security

Privacy concerns

Technical failures

Human error

Limited adaptability

$$$$$

Assets

Experienced team member

Summary

Using RapidMiner software

Natural Language Processing (NLP)

Machine Learning (ML)

Expert Systems

RPA

Case-Based Reasoning (CBR)

Intelligent Tutoring Dialog Systems (ITDS)

Predictive Modeling

measured with: improvement in student learning outcomes, grades, and performance

measured with: metrics such as time spent on task, number of questions asked, and feedback provided by the students

measured by: tracking the number of times the system adapts its instruction and the effectiveness of these adaptations.

measured by: the time it takes for students to complete tasks, the number of errors made, and the number of attempts required to complete a task.

measured through: surveys and interviews, which can provide valuable feedback on the system's usability, effectiveness, and overall user experience

measured by: monitoring the number of students who continue to use the system and the length of time they continue to use it.

provide immediate feedback for each student in the classroom

guide students while they are working through problems and exercises

help students with their questions and doubts

lack of relevance to the student future plans or interests

the materials are uninteresting or not relevant to the student lives

students may have learning difficulties such as ADHD, dyslexia, or other learning disabilities