Using A Risk Prediction Model With First Year College Students Early Intervention To Support Academic Achievement PDF Download

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Resources in Education

Resources in Education
Author:
Publisher:
Total Pages: 380
Release: 1998
Genre: Education
ISBN:

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Informatics for Digital Education

Informatics for Digital Education
Author: Asma Salman
Publisher: Springer Nature
Total Pages: 78
Release:
Genre:
ISBN: 3031493931

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Computational Collective Intelligence

Computational Collective Intelligence
Author: Ngoc Thanh Nguyen
Publisher: Springer Nature
Total Pages: 702
Release: 2019-10-04
Genre: Computers
ISBN: 3030283747

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This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented were carefully reviewed and selected from 200 submissions. The papers are grouped in topical sections on: computational collective intelligence and natural language processing; machine learning in real-world data; distributed collective intelligence for smart manufacturing; collective intelligence for science and technology; intelligent management information systems; intelligent sustainable smart cities; new trends and challenges in education: the university 4.0; intelligent processing of multimedia in web systems; and big data streaming, applications and security.


Influence of Early Intervention Career Exploration on Student Persistence

Influence of Early Intervention Career Exploration on Student Persistence
Author: Ben Littlepage
Publisher:
Total Pages:
Release: 2012
Genre:
ISBN:

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The study examined whether 181 academically underprepared, first-time freshmen were found to increase persistence and academic achievement due to the early intervention of a career exploration assessment. Persistence was defined as continuous, active enrollment from Fall 2010 to Fall 2011. Academic achievement was defined as grade point average. The study site was a rural community college located in northwest Tennessee where household poverty was high, educational attainment was low and 70 percent of first-time freshmen had a remedial education need in 2010. Pre-existing characteristics and the level of academic preparedness for each participant were collected. Participants were purposefully sampled by using a college transitions course required of students who test into one or more remedial subject areas. Nine independent variables were collected: gender, race, parent’s education level, enrollment status, age, Holland personality types and the number of prescribed developmental studies courses in mathematics, reading and writing. The sample largely consisted of participants who were enrolled full time and between the ages of 18 and 24. Six hypotheses were proposed. Data were analyzed using one sample t-tests, multiple linear regression, binary logistical regression, eta coefficient, and two-way chi square. Statistically significant increases in persistence and academic achievement were found in the sample when compared to the population of academically underprepared, first-time freshmen from Fall 2009. Gender, race, primary personality type and the number of prescribed developmental studies reading courses were statistically significant variables in predicting persistence. Female Caucasians with a Social primary personality type and no prescribed developmental studies reading courses were most likely to persist from Fall 2010 to Fall 2011. Age, enrollment status, race, gender, and the number of prescribed developmental studies reading courses were statistically significant variables in predicting academic achievement (grade point average). Traditional aged, full-time enrolled, Caucasian, female participants with no prescribed developmental studies reading courses were most likely to demonstrate academic achievement from Fall 2010 to Fall 2011. A statistically significant relationship between Holland personality types and academic achievement was not found. Persisters and non-persisters were not related in a comparison of Holland personality types. Recommendations to increase student exposure to career exploration and for future research were made. .


Intelligent Computing Theories and Application

Intelligent Computing Theories and Application
Author: De-Shuang Huang
Publisher: Springer Nature
Total Pages: 778
Release: 2021-08-09
Genre: Computers
ISBN: 303084529X

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This two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” The papers are organized in the following subsections: Intelligent Computing in Computer Vision, Intelligent Control and Automation, Intelligent Modeling Technologies for Smart Cities, Machine Learning, and Theoretical Computational Intelligence and Applications.


The Learning and Study Strategies Inventory as a Predictive Measure of 1st Semester Academic Performance of At-risk Students

The Learning and Study Strategies Inventory as a Predictive Measure of 1st Semester Academic Performance of At-risk Students
Author: Lance A. Lawson
Publisher:
Total Pages:
Release: 2009
Genre:
ISBN:

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ABSTRACT: This study explored the use of the Learning and Study Strategies Inventory (LASSI) as a predictive measure of the academic success of at-risk college students. Students (n=32) participated in a first-year support program designed to help at-risk college students with retention, academic support, and academic progression at a large state university. Five measures of academic achievement collected by the support program were used as dependent variables. Using multiple regression enter models, students' LASSI subscale scores were analyzed with each of the five academic achievement variables. Results of the regression models were discussed based on a three-factor model developed by previous research that identified affective, goal, and comprehension monitoring strategies as latent constructs in the LASSI. The usefulness for using the LASSI in collegiate support programs was also discussed.


Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions

Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions
Author: Almaraz-Menéndez, Fernando
Publisher: IGI Global
Total Pages: 308
Release: 2022-05-27
Genre: Education
ISBN: 1799892492

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The digital transformation of higher education institutions has accelerated in the last decade due to the confluent development of digital technologies. Understanding how artificial intelligence-enabled changes and improvements in universities in relation to teaching, management, sustainability, and research allows researchers to understand the advances and identify the challenges that may arise. This knowledge provides technological instruments as well as cognitive, philosophical, and epistemological tools to address different current issues. Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions offers both empirical and theoretical information focused on artificial intelligence and its various applications in higher education institutions. It includes research results, authoritative overview articles, high quality analysis on trends, comparative studies, and analysis of cases that focus on issues including ethical issues and risks for applying AI in higher education, policies to introduce AI in curricula, and applications in teaching and learning. Covering topics such as artificial intelligence ethics, energy efficiency, and postsecondary administrative leadership, this premier reference source is an essential resource for computer scientists, AI scientists, administration of higher education institutions, educators and faculty of higher education, pre-service teachers, researchers, IT professionals, and academicians.


Structured Groups for Non-traditional College Students

Structured Groups for Non-traditional College Students
Author: Siu-Man Raymond Ting
Publisher:
Total Pages: 124
Release: 2008
Genre: Education
ISBN:

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Structured Groups for Non-Traditional College Students is the first book to use a group approach on improving student performance. This book is based on repeated, empirical studies of different programs and services. It proposes using a group approach, the Excellent Commitment and Effective Learning (ExCEL) group, with non-cognitive strategies to enhance student development. Specifically, the group aims to assist students in adjustment to the college environment and enhancement of their academic performance and to increase student retention. This book is designed to inform higher education professionals. In particular, those who work with first-year university students during orientation, academic advising, first-year programs/classes, and housing will find the group-based design innovative. The book covers: the challenges facing university freshman, case studies from universities, guidelines for developing the group, evaluation for group outcomes, and implications for future development of support programs in higher education, among many other topics.