Predicting Four-Year Student Success from Two-Year Student Data

Nadasen, Denise; List, Alexandra

doi:10.1007/978-3-319-06520-5_13

Cited by 2 publications

(12 citation statements)

References 29 publications

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“…To a great extent, this line of research on learning trajectories falls into the notion of "academic analytics" as learning trajectories are directly related to learner profile. Some common themes in these academic analytics studies are the use of empirical student data from their community colleges (Nadasen & List, 2017) or national surveys (Zilvinskis & Dumford, 2018). The objectives of these studies have included predicting transfer students' engagement (Zilvinskis & Dumford, 2018), credit loss (Giani, 2019), degree completion (McDonald, 2020;Zhang, 2022), first-term GPA, re-enrollment and retention (Nadasen & List, 2017).…”

Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

“…Some common themes in these academic analytics studies are the use of empirical student data from their community colleges (Nadasen & List, 2017) or national surveys (Zilvinskis & Dumford, 2018). The objectives of these studies have included predicting transfer students' engagement (Zilvinskis & Dumford, 2018), credit loss (Giani, 2019), degree completion (McDonald, 2020;Zhang, 2022), first-term GPA, re-enrollment and retention (Nadasen & List, 2017). While the academic analytics with a focus on institutional factors is very different from learning analytics that focus on learning, this paper will still use "learning analytics" to refer to the analytics being conducted in this study.…”

Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

“…While these studies have examined transfer students' success using community college and receiving institution data, few have used data to analyse their success in individual courses. Among the many predictors of college success, some include demographic factors (Zhang, 2022), completion of remedial English/mathematics courses (Nadasen & List, 2017), community college GPA and course load (McDonald, 2020). These factors were within the scope of past studies.…”

Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

“…These factors were within the scope of past studies. In particular, Nadasen and List (2017) argued that the number of community college credits accepted by the receiving institution has a significant impact on the success of transfer students, especially in STEM disciplines. When fewer credits are accepted by the receiving institution, students need to take more courses at university, which can have a negative effect on degree completion.…”

Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

See 3 more Smart Citations

Exploring language needs of college transfer students with learning analytics: towards a more equitable experience

Foung,

Chen,

Cheung

2023

Int J Educ Technol High Educ

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College transfer students are those who follow a different trajectory in their higher education journeys than traditional students, completing a sub-degree before pursuing a bachelor’s degree at a university. While the possibility of transferring makes higher education accessible to these students, previous studies have found that they face various challenges, from issues with course load to language challenges. This study aims to examine (1) the critical factors contributing to the success of transfer students in a language course; and (2) how transfer students perform better or worse than those who enter university directly. This study conducted learning analytics with 700 college transfer students in Hong Kong, retrieving their demographic and learning data from the learning management system and the university academic registry. The results suggest that English exam scores, current semester GPA, graduating GPA at community college and current course load are important predictors of transfer students’ success in language courses. This study also finds that transfer students have lower levels of language proficiency than direct entrants. It concludes with specific recommendations to make higher education more accessible to transfer students and suggestions on how to use learning analytics to track students with different trajectories.

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Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

Section: General Equity Issues With College Transfer Studentsmentioning

confidence: 99%

See 2 more Smart Citations

Exploring language needs of college transfer students with learning analytics: towards a more equitable experience

Foung,

Chen,

Cheung

2023

Int J Educ Technol High Educ

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“…GPA also shows students' level of adaptation to the university's academic culture. Several studies have shown higher grades on math-related courses being a positive indicator of advanced potential even on nonmath-related courses [8], [9]. A student's behaviour and academic achievement are influenced by the diversity of social groups he or she is a participant.…”

Section: Current Research In Learning Behaviour and Educational Achievementmentioning

confidence: 99%

Predictors of Academic Achievement in Blended Learning: the Case of Data Science Minor

Musabirov

Pozdniakov

Tenisheva

2019

Int. J. Emerg. Technol. Learn.

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This paper is dedicated to studying patterns of learning behavior in connection with educational achievement in multi-year undergraduate Data Science minor specialization for non-STEM students. We focus on analyzing predictors of aca-demic achievement in blended learning taking into account factors related to initial mathematics knowledge, specific traits of educational programs, online and of-fline learning engagement, and connections with peers. Robust Linear Regression and non-parametric statistical tests reveal a significant gap in achievement of the students from different educational programs. Achievement is not related to the communication on Q&A forum, while peers do have effect on academic success: being better than nominated friends, as well as having friends among Teaching Assistants, boosts academic achievement.

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Predicting Four-Year Student Success from Two-Year Student Data

Cited by 2 publications

References 29 publications

Exploring language needs of college transfer students with learning analytics: towards a more equitable experience

Exploring language needs of college transfer students with learning analytics: towards a more equitable experience

Predictors of Academic Achievement in Blended Learning: the Case of Data Science Minor

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