Learner Analytics and Student Success Interventions

Pistilli, Matthew D.

doi:10.1002/he.20242

Cited by 10 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pristilli (p.43) defines learner analytics and explains their purpose: 46 learning analytics focuses on “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.” This is a prime example of institutions turning to business intelligence techniques that utilize prescriptive interventions to augment and support student success. …”

Section: Surveillance: Big Data and Learner Analyticsmentioning

confidence: 99%

Am I my students’ nurse? Reflections on the nursing ethics of nursing education

Snelling

2023

Nurs Ethics

View full text Add to dashboard Cite

Despite having worked in higher education for over twenty years, I am still, first and foremost, a practicing nurse. My employer requires me to be a nurse and my regulator regards what I do as nursing. My practice is regulated by the Code and informed by nursing ethics. If I am nurse, practicing nursing, does that mean that my students are my patients? This paper considers how the relationship that I have with my students can be informed by the ethics of the nurse/patient relationship. After some initial theoretical preparation concerning argument from analogy, the paper identifies some areas for comparison between the two relationships. Areas of similarity and difference identify two areas of concern: Nurse education and educators regularly engage in coercion and surveillance in an attempt to increase student success, both of which would be considered outside nursing ethics. It is concluded that these coercive practices are not conducive to an environment where character is cultivated. Despite current financial and workforce pressures, nurse lecturers and more especially their managers would do well to return to the professional ethics of nursing to question and guide their practice.

show abstract

Section: Surveillance: Big Data and Learner Analyticsmentioning

confidence: 99%

Am I my students’ nurse? Reflections on the nursing ethics of nursing education

Snelling

2023

Nurs Ethics

View full text Add to dashboard Cite

show abstract

“…As more and more educational data are available, learning analytics use static and dynamic data about learners and learning environments to assess, elicit, and analyse it for real-time modelling, prediction and optimising of learning processes (Ifenthaler, 2015). Many studies show a positive impact on learning analytics regarding student retention in higher education by identifying student at risk, providing personalised feedback and guidance to academic support services (Ifenthaler et al, 2019;Pistilli, 2017;Sclater et al, 2016).…”

Section: Jarhe 121mentioning

confidence: 99%

What do first-year students need? Digital badges for academic support to enhance student retention

Mah

2019

JARHE

View full text Add to dashboard Cite

Purpose The purpose of this paper is to analyse data on first-year students’ needs regarding academic support services and reasons for their intention to leave the institution prior to degree completion. On the basis of the findings, a digital badge outline is proposed which could contribute to improved communication of academic requirements in order to help students to better adapt to higher education demands. Digital badges might also serve as an indicator for students’ needing additional academic support services. Design/methodology/approach An online-questionnaire was conducted with 730 first-year students at a German university. Participants’ responses to open-ended questions were coded and categorised. On the basis on these findings, an outline for a digital badge programme is proposed. Findings Participants seek the most institutional support regarding research skills and organisational aspects. Main reasons for participants’ intention to withdraw from the institution include difficulties with their programme choice. Practical implications These findings may enable higher education institutions to provide targeted support services that meet first-year students’ needs. On the basis of the findings, higher education institutions can create digital badge programmes, which may improve communication of academic requirements and may also serve as a platform for a staff-student conversation about expectations and demands for a successful first-year experience. Besides, further research and discussion may address using digital badges for learning analytics algorithms to even better identify students’ strengths and needs for targeted academic support services and enhanced student success in higher education. Originality/value Little is known about first-year students’ needs for institutional support and reasons for thinking about dropout in Germany. Understanding the student perspective is crucial for enhancing student retention. Digital badges are an emerging educational technology in higher education and they have the potential to target academic requirements, which may guide first-year students and help them to better adjust to universities’ demands.

show abstract

“…Revision or redesign of online courses is a common practice in higher education. It promotes instructors' critical and ongoing examination of the learning goals and content, demonstrates responsiveness to student feedback and behavior, and may address student retention issues (Kebritchi et al, 2017;Pistilli, 2017;Spiceland et al, 2015). A common goal of course revision is to increase student success and reduce course withdrawal rates (Sullivan et al, 2020).…”

Section: Revisionmentioning

confidence: 99%

“…While learning analytics offers robust data that can be used to drive decision-making at all levels of the institution, the insights of instructors, who best understand their students, content, and specific learning context, cannot be overlooked. These educators can play a pivotal role in using learning analytics to directly improve student success in their courses and contribute to the college's overall student completion goals (Morris, 2016;Phillips & Horowitz, 2017;Pistilli, 2017). However, institutional conditions must set the stage for faculty to use learning analytics data in this manner (Lonn et al, 2017).…”

Section: Chapter One: Introduction To the Studymentioning

confidence: 99%

Instructors' lived experiences of using learning analytics to improve online course design

Wood

View full text Add to dashboard Cite

I am grateful to you. To Kelly, whose friendship has endured through it all. To Yang, Angie, Ka, Chris, EJ, Katherine, Jay, and others from Parkside, who have encouraged me, challenged me, and kept life interesting. It means so much to follow in Yang's Ed.D. footsteps. To Erica, whose kindness still touches me. To Katelynn, who held me accountable as a study buddy in Austin's coffee shops and bars.Thanks to my second family. To Kyle, for your curiosity and interest in my progress. Thanks to Kevin and Jessica for your welcoming spirit. Special acknowledgments to the countless hours Kevin and Kris dedicated to Apex Legends, Rumbleverse, and Rocket League while I was holed up writing. To Grace, for your positivity during the hard times and for raising three upstanding sons. Finally, all my love and gratitude to Kris. You came into my life right as I started this dissertation, pushed me through rough patches, and celebrated each milestone. I am a better human with a bigger heart because of you.

show abstract

Learner Analytics and Student Success Interventions

Abstract: The implementation of analytics in support of student success requires effective use of feedback and interventions, as well as a system by which the use of feedback and institutional supports can be tracked and evaluated.

Cited by 10 publications

References 30 publications

Am I my students’ nurse? Reflections on the nursing ethics of nursing education

Am I my students’ nurse? Reflections on the nursing ethics of nursing education

What do first-year students need? Digital badges for academic support to enhance student retention

Instructors' lived experiences of using learning analytics to improve online course design

Contact Info

Product

Resources

About