2018
DOI: 10.1002/he.20303
|View full text |Cite
|
Sign up to set email alerts
|

Student Success: Academic Advising, Student Learning Data, and Technology

Abstract: Two of the most important issues facing those in the field of academic advising are the use of technology and data analytics. There is no question that technology and data will shape the delivery and expectations for academic advising in higher education in the years to come. This chapter explores the intersections between advising, technology, and data.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 16 publications
(10 citation statements)
references
References 0 publications
0
10
0
Order By: Relevance
“…Perhaps with the adoption of learning technologies in the field of academic advising, the process of capturing and using this evidence of student learning might not be quite as difficult in the future. This author has suggested that technologies, such as learning management systems and e-portfolios, could help structure the advising process by having advisors organize their advising curricula with these tools while using the evaluation tools to encourage student critical thinking and acquire evidence of student learning (Steele, 2015(Steele, , 2016(Steele, , 2018. The adoption of such a process would provide a digital solution to the paper-based approach Gordon developed over 40 years ago.…”
Section: Discussionmentioning
confidence: 99%
“…Perhaps with the adoption of learning technologies in the field of academic advising, the process of capturing and using this evidence of student learning might not be quite as difficult in the future. This author has suggested that technologies, such as learning management systems and e-portfolios, could help structure the advising process by having advisors organize their advising curricula with these tools while using the evaluation tools to encourage student critical thinking and acquire evidence of student learning (Steele, 2015(Steele, , 2016(Steele, , 2018. The adoption of such a process would provide a digital solution to the paper-based approach Gordon developed over 40 years ago.…”
Section: Discussionmentioning
confidence: 99%
“…Another factor affecting the transition from high school to tertiary education is the utilisation of an academic advisor for course selection exposure to college experience and help with balancing study, work and life issues (Gultice et al, 2015;Steele, 2018). Gultice et al (2015) validated that a multifaceted approach between students and advisors regarding course selection could lead to appropriate remediation before a student registers for university, and when combined with targeted tutoring and support, a decrease in withdrawal and increased academic success.…”
Section: Transition From Secondary School To University: the Impact Omentioning
confidence: 99%
“…These factors are pushing parents to ask more questions on completion rates and student success. Therefore, the focus is no longer placed on enrolling in institutions of learning, rather on the time of completion and the success of the students in these institutions (Steele, 2018). There are a host of methods higher institutions can implement to influence student success, but one that stands out is the use of predictive analytical tools (Liu, Bartimote-Aufflick, Pardo & Bridgeman, 2017).…”
Section: Predictive Analytics Advising Rolementioning
confidence: 99%
“…However, if learners exhibit unique challenges, a personalized model is advisable, and this is where the role of predictive analytics manifests. According to Steele (2018), the two main issues affecting the education industry are technology and data analytics. According to the researcher, the combination of technology and data analytics has transformed the education sector.…”
Section: Predictive Analytics Advising Rolementioning
confidence: 99%