Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment

2012 ◽  
pp. 505-510 ◽  
Author(s):  
James R. Segedy ◽  
John S. Kinnebrew ◽  
Gautam Biswas
Keyword(s):  
Learning Environment ◽  
Student Performance

An Exploratory Study of the Online Learning Environment

2013 ◽  
Vol 29 (1) ◽  
pp. 117-147 ◽  
Author(s):  
Cynthia J. Khanlarian ◽  
Rahul Singh
Keyword(s):  
Learning Environment ◽  
Student Performance ◽  
It Use ◽  
Environment Impact ◽  
Web Based ◽  
Improve Student Performance ◽  
Research Questions ◽  
The Impact ◽  
Relevant Factors ◽  
Significant Factors

ABSTRACT Web-based homework (WBH) is an increasingly important phenomenon. There is little research about its character, the nature of its impact on student performance, and how that impact evolves over an academic term. The primary research questions addressed in this study are: What relevant factors in a WBH learning environment impact students' performance? And how does the impact of these factors change over the course of an academic term? This paper examines and identifies significant factors in a WBH learning environment and how they impact student performance. We studied over 300 students using WBH extensively for their coursework, throughout a semester in an undergraduate class at a large public university. In this paper, we present factors in the WBH learning environment that were found to have a significant impact on student performance during the course of a semester. In addition to individual and technological factors, this study presents findings that demonstrate that frustration with IT use is a component of the learning environment, and as a construct, has a larger impact than usefulness on student performance at the end of a course. Our results indicate that educators may benefit from training students and engaging them in utility of co-operative learning assignments to mitigate the level of frustration with the software in the WBH learning environment and improve student performance.

The impact of learning environment disruption on medical student performance

2013 ◽  
Vol 47 (2) ◽  
pp. 210-213 ◽  
Author(s):  
Tim J Wilkinson ◽  
Anthony N Ali ◽  
Caroline J Bell ◽  
Frances A Carter ◽  
Chris M Frampton ◽  
...  
Keyword(s):  
Medical Student ◽  
Learning Environment ◽  
Student Performance ◽  
The Impact

COGNITIVE, AFFECTIVE AND CONATIVE MODEL FOR ANALYSING HIGHER EDUCATION STUDENTSq

2017 ◽  
Vol 10 (13) ◽  
pp. 133
Author(s):  
Priyaadharshini Manickavasag ◽  
Swati S Surwade
Keyword(s):  
Higher Education ◽  
Learning Environment ◽  
Student Performance ◽  
Learning Style ◽  
Management System ◽  
Research Work ◽  
Personalized Learning ◽  
Three Dimensions ◽  
Learning Abilities ◽  
Learning Platform

Many models are used in recent years to analyze behavior of the students in the higher education. Analyzing the learning style and student performance in academic studies are very essential to enhance their performance. This research work is focused on analyzing the learners behavior using three dimensions, i.e., cognitive, affective, and conative model. In this paper, we used Moodle learning management system which is a learning platform to create a personalized learning environment and to track learning abilities using activities. This model will be helpful to study the cognitive, conative, and emotions of students. 

scholarly journals A review of predictive factors of student success in and satisfaction with online learning

2015 ◽  
Vol 23 ◽  
Author(s):  
Heather Kauffman
Keyword(s):  
Online Learning ◽  
Instructional Design ◽  
Learning Environment ◽  
Learning Outcomes ◽  
Student Performance ◽  
Online Courses ◽  
Learning Technology ◽  
Learner Characteristics ◽  
Course Structure ◽  
Negative Perceptions

Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined including learning outcomes, instructional design and learner characteristics, followed by suggestions for further research, and concluding with implications for online learning pertinent to administrators, instructors, course designers and students. Online learning may not be appropriate for every student. Identifying particular characteristics that contribute to online success versus failure may aid in predicting possible learning outcomes and save students from enrolling in online courses if this type of learning environment is not appropriate for them. Furthermore, knowing these learner attributes may assist faculty in designing quality online courses to meet students’ needs. Adequate instructional methods, support, course structure and design can facilitate student performance and satisfaction.Keywords: online learning; learner characteristics; instructional design; online learning outcomes(Published: 27 August 2015)Responsible Editor: Meg O’Reilly, Southern Cross University, AustraliaCitation: Research in Learning Technology 2015, 23: 26507 - http://dx.doi.org/10.3402/rlt.v23.26507

A Literature Review of Student Performance Prediction in E-Learning Environment

2020 ◽  
Vol 01 (01) ◽  
pp. 22-36
Author(s):  
Ruth Chweya ◽  
Siti Mariyam Shamsuddin ◽  
Samuel-Soma M. Ajibade ◽  
Samuel Moveh
Keyword(s):  
Literature Review ◽  
Learning Environment ◽  
Student Performance ◽  
Performance Prediction ◽  
E Learning
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