[HTML][HTML] Artificial intelligence-enabled prediction model of student academic performance in online engineering education

P Jiao, F Ouyang, Q Zhang, AH Alavi - Artificial Intelligence Review, 2022 - Springer
study develops an artificial intelligence-enabled prediction model for student academic
performance based on students… evaluation of students’ final write-up of the literature review. Note …

Review of undergraduate student retention and graduation since 2010: Patterns, predictions, and recommendations for 2020

SA Barbera, SD Berkshire… - … : Research, Theory …, 2020 - journals.sagepub.com
… of nontraditional students and the availability of online programs, … intentions to persist for
STEM and non-STEM students. … The literature reviewed here suggests that there is still much …

Factors associated with college STEM participation of racially minoritized students: A synthesis of research

MC Bottia, RA Mickelson, C Jamil… - … Research, 2021 - journals.sagepub.com
… to update us about new research on this topic. In this way our literature search was kept …
” are important factors that predict the odds that these students will be successful in college …

Predicting STEM major and career intentions with the theory of planned behavior

R Moore, J Burrus - The Career Development Quarterly, 2019 - Wiley Online Library
… Before running a hierarchical logistic regression model that examined the ability of TPB to
predict studentsSTEM choices, we conducted two confirmatory factor analyses (CFAs). CFA …

The relationship of STEM attitudes and career interest

E Wiebe, A Unfried, M Faber - … and Technology …, 2018 - digitalcommons.csumb.edu
… Based on our literature review, at the recommendation of subject … The students completed
the S-STEM survey online during … We chose to use a career cluster score rather than predicting

Introductory programming: a systematic literature review

A Luxton-Reilly, Simon, I Albluwi, BA Becker… - … and technology in …, 2018 - dl.acm.org
… In recent years we have seen papers using student-… to compare variables that can predict
students’ performance [694]… in student-directed learning and the rise in popularity of online

Identifying science students at risk in the first year of higher education: the incremental value of non-cognitive variables in predicting early academic achievement

J Willems, L Coertjens, B Tambuyzer… - European Journal of …, 2019 - Springer
… in the first year of a STEM program. Furthermore, a … online activity data indicating the effort
exerted by a student in a course) may have important incremental value in predicting students’ …

[HTML][HTML] A logistic regression investigation of the relationship between the Learning Assistant model and failure rates in introductory STEM courses

JL Alzen, LS Langdon, VK Otero - International journal of STEM education, 2018 - Springer
… through their online assessment tool, Learning About STEM Student Outcomes Footnote 1
(… In Table 4, we present the mean values for all of our predictor variables for students who did …

[HTML][HTML] Utilising learning analytics to support study success in higher education: a systematic review

D Ifenthaler, JYK Yau - Educational Technology Research and …, 2020 - Springer
… Therefore, the purpose of this systematic literature review … One set of predictors is based on
data collected through online … of data used for predicting study success is based on students’ …

[HTML][HTML] Artificial intelligence for student assessment: A systematic review

V González-Calatayud, P Prendes-Espinosa… - Applied sciences, 2021 - mdpi.com
… LMS, a personal assistant for online learning; or finally, the … We can develop intelligent
systems to predict academic … related to STEM subjects (Science, Technology, Engineering …