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Showing 1 to 15 of 22 results Save | Export
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Nachouki, Mirna; Naaj, Mahmoud Abou – International Journal of Distance Education Technologies, 2022
The COVID-19 pandemic constrained higher education institutions to switch to online teaching, which led to major changes in students' learning behavior, affecting their overall performance. Thus, students' academic performance needs to be meticulously monitored to help institutions identify students at risk of academic failure, preventing them…
Descriptors: Academic Achievement, Academic Advising, College Students, Classification
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Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Randhir Rawatlal; Rubby Dhunpath – Association for Institutional Research, 2023
Although student advising is known to improve student success, its application is often inadequate in institutions that are resource constrained. Given recent advances in large language models (LLMs) such as Chat Generative Pre-trained Transformer (ChatGPT), automated approaches such as the AutoScholar Advisor system affords viable alternatives to…
Descriptors: Academic Advising, Technology Uses in Education, Artificial Intelligence, Progress Monitoring
Maryland Higher Education Commission, 2022
Transfer student success is an increasingly important subject in higher education policy circles in recent years, and for good reason. Almost half of undergraduates attending Maryland's public four-year institutions transfer from the state's community colleges. However, transfer students complete bachelor's degrees at notably lower rates than…
Descriptors: College Transfer Students, Evidence Based Practice, Achievement Gap, College Credits
Ahmad Al-Doulat – ProQuest LLC, 2021
Learning Analytics (LA) has had a growing interest by academics, researchers, and administrators motivated by the use of data to identify and intervene with students at risk of underperformance or discontinuation. Typically, faculty leadership and advisors use data sources hosted on different institutional databases to advise their students for…
Descriptors: Learning Analytics, Academic Advising, Data Use, Higher Education
Toumic Asatorrian – ProQuest LLC, 2022
Technology and data have become integral components of the higher education landscape. These tools and stores of information are readily available to staff, administrators, and faculty. Despite this permeation of technology and data, there remains opportunities for growth and gaps in usage, particularly in the critical work of academic advising.…
Descriptors: Business, Intelligence, Technology, Technology Uses in Education
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Jones, Jacquelyn; Welker, Melissa; Charlton, Jonikka; Arney, Janna – New Directions for Higher Education, 2021
Although we know advising can be conceptualized as a critical component of an integrated and comprehensive student success strategy on a campus, it is often difficult to implement. This chapter will provide a case study of the development and execution of a leadership initiative at an American Association of State Colleges and Universities (AASCU)…
Descriptors: Academic Advising, Equal Education, Success, Strategic Planning
Vanessa J. Ruggieri – ProQuest LLC, 2023
Degree completion rates have recently dominated national debates regarding the value of higher education (Gagliardi et al., 2018). Inherent in this debate is the issue of how to utilize institutional data to evaluate student performance (Hubbard et al., 2020). This process, known as data-driven decision-making (DDDM), has been studied at four-year…
Descriptors: Data Use, Decision Making, Program Improvement, Community Colleges
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Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
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Wang, Rong; Orr, James E., Jr. – Journal of College Student Retention: Research, Theory & Practice, 2022
Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university's large-scale institutional data set and undecided student's retention and graduation rate predictors to demonstrate how to couple student and institutional data…
Descriptors: Data Use, Decision Making, Predictor Variables, Academic Advising
Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Vasquez, Andrea – MDRC, 2020
Millions of students leave college every year before earning a degree. At community colleges, only a third of full-time students graduate within three years. How can school administrators help students stay in school and eventually graduate? Higher education institutions commonly offer students advising services to help them develop the academic…
Descriptors: Community Colleges, Two Year College Students, Program Design, Academic Advising
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Lia Wetzstein; Jordan Reed; Katie Kovacich; Mayra Nuñez Martinez – Community College Research Initiatives, 2024
The need for STEM transfer students from low-income backgrounds to complete bachelor's degrees is a pressing issue. A substantial portion of those students start their educational journey at 2-year colleges. The lack of transfer and completion of these STEM students is deeply rooted in systemic and structural barriers, which leads to many students…
Descriptors: Partnerships in Education, STEM Education, Low Income Students, Transfer Rates (College)
Vasquez, Andrea; Scrivener, Susan – MDRC, 2020
Colleges support students with advising, counseling, or coaching in academics and other skills they need to succeed in school. Some colleges enhance those services through reduced adviser caseloads and more comprehensive, frequent guidance, which can improve students' semester-to-semester retention and average credits earned. This overview…
Descriptors: Program Design, Academic Advising, Academic Support Services, Community Colleges
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Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)
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