THE USE OF MACHINE LEARNING IN HIGHER EDUCATIONSwiontek, FrankLawson-Body, AssionLawson-Body, LaurenceIssues in Information Systems
Education Technology August 19, 2022Students in higher education are eager to continue using new classroom learning technologies adopted during the pandemic, according to McKinsey research. In a survey, more than 60 percent of students said that all the classroom learning technologies they’ve used ...
Higher education is an industry craving transformation. As machine learning and AI are tossed freely around in tech, like “cloud-based” and “mobile-first” were less than a decade ago, it's important to understand what organizations mean when they use these terms. When we hear these terms...
1.2. Teachers' conceptions of learning in computing education Conception in teaching and learning has been considered essential for teaching practices. According to Lin et al. [20], researchers have recognized the importance of global teachers’ conceptions with sufficient evidence that their conceptions...
Discover how machine learning is used in education through case studies, blog posts, and stories from higher education, K12, and EdTech institutions running on AWS.
S Huang,F Ning - 《Computers & Education》 被引量: 131发表: 2013年 Theorising the Machine: Gender, education and computing Computer Uses in EducationElementary Secondary EducationFemalesGender IssuesHigher EducationLifelong LearningMasculinityScience EducationSex StereotypesThe article ... Clegg,Sue - 《...
However, the process of dropping out of school often begins in early school years and is marked by a gradual disengagement and disassociation from education35,36. These findings suggest that current machine learning models might need to incorporate data that spans further back into the past. In ...
One promising area for machine learning is in human education. Teaching is a vital yet complex profession. Discerning each student’s educational needs can be a complex challenge, and schools may not always have the ability to meet it. AI can help. ...
In both cases, an increase in speaker population size predicts a decrease in b and thus higher learning difficulty (both parametric p-values < 0.05). Figure 2 Multilevel mixed-effects linear regression results (Study 1) for three different LMs—PPM, PAQ and LSTMcomp. (a), (c) and ...
In this investigation, we formulate models based on machine learning algorithms to extract relevant information predicting student retention at various levels, using higher education data and specifying the relevant variables involved in the modeling. Then, we utilize this information to help the process...