This paper presents the results of integrating learning analytics into the assessment process to enhance academic integrity in the e-learning environment. The goal of this research is to evaluate the computational-based approach to academic integrity. The machine-learning based framework learns students’ patterns of language use from data, providing an accessible and non-invasive validation of student identities and student-produced content. To assess the performance of the proposed approach, we conducted a series of experiments using written assignments of graduate students. The proposed method yielded a mean accuracy of 93%, exceeding the baseline of human performance that yielded a mean accuracy rate of 12%. The results suggest a promisi...
Mining data for insights to improve education enables a new level of evidence-based research into le...
Humans have always been lured by the idea that they can use data to understand a phenomenon and make...
In this chapter, we examine the notion of responsible learning analytics. Such an approach requires ...
This paper presents the results of integrating learning analytics into the assessment process to enh...
This paper presents the results of integrating learning analytics into the assessment process to enh...
Nowadays many universities around world have enhanced their educational system with the so-called e...
Learning analytics is a new area in the assessment domain of learning and is based on interrogating ...
The move to online education necessitated by the COVID-19 pandemic has greatly increased institution...
In the current COVID-19 pandemic era, Learning Management Systems (LMS) are commonly used in e-learn...
In the current Covid-19 pandemic era, Learning Management Systems (LMS) are commonly used in e-learn...
AbstractData-driven decision-making and data-intensive research are becoming prevalent in many secto...
Higher education for the 21st century continues to promote discoveries in the field through learning...
The overarching goal of this presentation is to discuss the use of learning analytics in Canvas to t...
The online traces that students leave on electronic learning platforms; the improved integration of ...
Learning analytics (or educational big data) tools are increasingly being deployed on campuses to im...
Mining data for insights to improve education enables a new level of evidence-based research into le...
Humans have always been lured by the idea that they can use data to understand a phenomenon and make...
In this chapter, we examine the notion of responsible learning analytics. Such an approach requires ...
This paper presents the results of integrating learning analytics into the assessment process to enh...
This paper presents the results of integrating learning analytics into the assessment process to enh...
Nowadays many universities around world have enhanced their educational system with the so-called e...
Learning analytics is a new area in the assessment domain of learning and is based on interrogating ...
The move to online education necessitated by the COVID-19 pandemic has greatly increased institution...
In the current COVID-19 pandemic era, Learning Management Systems (LMS) are commonly used in e-learn...
In the current Covid-19 pandemic era, Learning Management Systems (LMS) are commonly used in e-learn...
AbstractData-driven decision-making and data-intensive research are becoming prevalent in many secto...
Higher education for the 21st century continues to promote discoveries in the field through learning...
The overarching goal of this presentation is to discuss the use of learning analytics in Canvas to t...
The online traces that students leave on electronic learning platforms; the improved integration of ...
Learning analytics (or educational big data) tools are increasingly being deployed on campuses to im...
Mining data for insights to improve education enables a new level of evidence-based research into le...
Humans have always been lured by the idea that they can use data to understand a phenomenon and make...
In this chapter, we examine the notion of responsible learning analytics. Such an approach requires ...