scholarly journals The Effects of Non-Directional Online Behavior on Students’ Learning Performance: A User Profile Based Analysis Method

2021 ◽  
Vol 13 (8) ◽  
pp. 199
Author(s):  
Kun Liang ◽  
Jingjing Liu ◽  
Yiying Zhang
Keyword(s):  
Academic Performance ◽  
Student Performance ◽  
Student Behavior ◽  
User Profile ◽  
Learning Performance ◽  
Network Behavior ◽  
User Characteristics ◽  
Online Behavior ◽  
Shared Information ◽  
Online Traffic

Network behavior analysis is an effective method to outline user requirements, and can extract user characteristics by constructing machine learning models. To protect the privacy of data, the shared information in the model is limited to non-directional network behavior information, such as online duration, traffic, etc., which also hides users’ unconscious needs and habits. However, the value density of this type of information is low, and it is still unclear how much student performance is affected by online behavior; in addition there is a lack of methods for analyzing the correlation between non-directed online behavior and academic performance. In this article, we propose a model for analyzing the correlation between non-directed surfing behavior and academic performance based on user portraits. Different from the existing research, we mainly focus on the public student behavior information in the campus network system and conduct in-depth research on it. The experimental results show that online time and online traffic are negatively correlated with academic performance, respectively, and student’s academic performance can be predicted through the study of non-directional online behavior.

scholarly journals Analysis of Student Academic Performance Using Human-in-the-Loop Cyber-Physical Systems

Telecom ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 18-31
Author(s):  
Soraya Sinche ◽  
Pablo Hidalgo ◽  
José Fernandes ◽  
Duarte Raposo ◽  
Jorge Silva ◽  
...  
Keyword(s):  
Academic Performance ◽  
Student Performance ◽  
Student Behavior ◽  
Data Gathering ◽  
Cyber Physical Systems ◽  
University Campus ◽  
Physical Systems ◽  
Human In The Loop ◽  
Student Academic Performance ◽  
The University

Is it possible to analyze student academic performance using Human-in-the-Loop Cyber-Physical Systems (HiLCPS) and offering personalized learning methodologies? Taking advantage of the Internet of Things (IoT) and mobile phone sensors, this article presents a system that can be used to adapt pedagogical methodologies and to improve academic performance. Thus, in this domain, the present work shows a system capable of analyzing student behavior and the correlation with their academic performance. Our system is composed of an IoT application named ISABELA and a set of open-source technologies provided by the FIWARE Project. The analysis of student performance was done through the collection of data, during 30 days, from a group of Ecuadorian university students at “Escuela Politécnica Nacional” in Quito, Ecuador. Data gathering was carried out during the first period of classes using the students’ smartphones. In this analysis, we found a significant correlation between the students’ lifestyle and their academic performance according to certain parameters, such as the time spent on the university campus, the students’ sociability, and physical activity, etc.

How student behavior and reflective learning impact grades in online business courses

2016 ◽  
Vol 8 (3) ◽  
pp. 390-410 ◽  
Author(s):  
Kenneth Strang
Keyword(s):  
Learning Analytics ◽  
Student Behavior ◽  
Reflective Learning ◽  
Learning Performance ◽  
Text Analytics ◽  
Online Behavior ◽  
Online Student ◽  
Content Type ◽  
Business Course ◽  
Online Business

Purpose – Many universities now offer courses online using learning management systems (LMS). Numerous studies have been conducted to assess the effectiveness of the LMS but few studies have examined how student online behavior within the course, or what they think about the online course, are related to their actual learning outcomes. The paper aims to discuss this issue. Design/methodology/approach – In this study, student activity in an online business course was captured though learning analytics and assignments to determine if online activity and reflective learning impact final grade. A post-positivist ideology was employed. The dependent variable was the grade resulting from five assignments assessed using rubrics. Correlation, t-tests, multiple regression, surface response regression, General Linear Model (GLM)/F-tests, text analytics, analysis of means (ANOM), and cluster analysis were used to test the hypotheses. Findings – Four statistically significant predictors of online student learning performance were identified: course logins, lesson reading, lesson quiz activity, and lesson quiz scores. This four factor model captured 78 percent of variance on course grade which is a strong effect and larger than comparative studies using learning analytics with online courses. Text analytics and ANOM conducted on student essays identified 17 reflective learning keywords that were grouped into five clusters to explain online student behavior. Research limitations/implications – First, from a pedagogy standpoint, encouraging students to complete more online lessons including quizzes, generally promotes learning, resulting in higher grades, which is a win:win for students and for the university. Second, from an IT perspective, the student pre and post testing resulted in statistically significant increase of IT-course knowledge, which puts students on a solid foundation to begin an online business course. Additionally, the link between students voicing IT problems but nonetheless scoring very well on the course certainly implies the development of IT self-efficacy, developed partly through the pre and post testing process. A clear link was established between course learning objectives and student learning performance by using a unique text analytics procedure. Originality/value – The mixed-methods research design started with hypothesis testing using parametric and nonparametric techniques. Once a statistically significant predictive GLM was developed, qualitative data were collected from what the students thought as expressed in their last essay assignment. Text analytics was used to identify and statistically weight the 17 most frequent reflective learning keywords from student essays. A visual word cloud was presented. Parametric statistics were then used to partition the reflective learning keywords into grade boundaries. Nonparametric cluster analysis was used to group similar reflective keyword-grade associations together to form five clusters. The five clusters helped to explain student online behavior.

The Value of Handwritten Notes: A Failure to Find State-Dependent Effects When Using a Laptop to Take Notes and Complete a Quiz

2020 ◽  
pp. 009862832097989
Author(s):  
Roni M. Crumb ◽  
Ryan Hildebrandt ◽  
Tina M. Sutton
Keyword(s):  
Academic Performance ◽  
Student Performance ◽  
Incongruent Condition ◽  
Note Taking ◽  
Sole Purpose ◽  
State Dependent ◽  
Improve Student Performance ◽  
Teaching Implications

Background: Many students use laptops in the classroom to take notes; however, even when laptops are used for the sole purpose of taking notes they can negatively impact academic performance. Objective: The current study examined state-dependent effects, and the potential for a match in note taking and quiz taking methods to improve quiz performance. Method: Participants were placed into a congruent (take notes by hand and complete the quiz by hand or take notes using a laptop and complete an online quiz) or an incongruent condition (take notes by hand and take an online quiz or take notes using a laptop and complete the quiz by hand). Results: The results revealed that participants who took notes by hand performed better on the quiz overall, and better on conceptual questions, then students who took notes using a laptop. We failed to find evidence for state-dependent effects. Conclusions: The current study suggests that taking notes by hand may improve how students encode material, and result in higher quality external storage used by students when studying for quizzes. Teaching Implications: Reinforcing the notion that taking notes by hand may benefit quiz performance for lecture-style information and could improve student performance in class.

scholarly journals Effects of Socio-Academic Intervention on Student Performance in Vulnerable Groups

2021 ◽  
Vol 13 (14) ◽  
pp. 7673
Author(s):  
Tarquino Sánchez-Almeida ◽  
David Naranjo ◽  
Raquel Gilar-Corbi ◽  
Jessica Reina
Keyword(s):  
Higher Education ◽  
Academic Performance ◽  
Student Performance ◽  
Academic Intervention ◽  
Vulnerable Groups ◽  
University System ◽  
Higher Education System ◽  
Economic Support ◽  
Support Mechanisms ◽  
The University

In Ecuador, affirmative action policies enable students from vulnerable groups to preferentially enter universities. However, these policies are limited to admission and do not include academic or socio-economic support mechanisms that, according to the literature, promote student insertion in the higher education system. In this study, the effects of socio-academic intervention on the academic performance of vulnerable students are presented. For this, 41 students were selected among 164 vulnerable students entering the Escuela Politécnica Nacional in the second term of 2019. The 41 students attended a socio-academic intervention course for one term, while the remaining 123 attended the Escuela Politécnica Nacional levelling course directly. Once both groups of students finished the levelling course, their performance in each of the course subjects was compared. The results showed that the academic performance of the students in the intervention was significantly higher in mathematics and geometry compared to the students who had no intervention. These results show that the socio-academic intervention promotes the real insertion of vulnerable students in the university system.

scholarly journals Correlates of social media fatigue and academic performance decrement

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aqdas Malik ◽  
Amandeep Dhir ◽  
Puneet Kaur ◽  
Aditya Johri
Keyword(s):  
Social Media ◽  
Academic Performance ◽  
Adult Students ◽  
Instant Messaging ◽  
Well Being ◽  
Online Behavior ◽  
Cross Sectional ◽  
Self Disclosure ◽  
Content Type ◽  
Antecedents And Consequences

PurposeThe current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.Design/methodology/approachTo understand the antecedents and consequences of social media fatigue, the stressor-strain-outcome (SSO) framework is applied. The study consists of two cross-sectional surveys that were organized with young-adult students. Study A was conducted with 1,398 WhatsApp users (aged 19 to 27 years), while Study B was organized with 472 WhatsApp users (aged 18 to 23 years).FindingsIntensity of social media use was the strongest predictor of social media fatigue. Online social comparison and self-disclosure were also significant predictors of social media fatigue. The findings also suggest that social media fatigue further contributes to a decrease in academic performance.Originality/valueThis study builds upon the limited yet growing body of literature on a theme highly relevant for scholars, practitioners as well as social media users. The current study focuses on examining different causes of social media fatigue induced through the use of a highly popular mobile instant messaging app, WhatsApp. The SSO framework is applied to explore and establish empirical links between stressors and social media fatigue.

Paramedic Student Performance: Comparison of Online with On-Campus Lecture Delivery Methods

2006 ◽  
Vol 21 (4) ◽  
pp. 261-267 ◽  
Author(s):  
Michael W. Hubble ◽  
Michael E. Richards
Keyword(s):  
Academic Performance ◽  
Learning Styles ◽  
Student Performance ◽  
Classroom Environment ◽  
Educational Process ◽  
Traditional Classroom ◽  
Classroom Setting ◽  
Online Students ◽  
Convenience Sample ◽  
Significant Difference

AbstractIntroduction:Colleges and universities are experiencing increasing demand for online courses in many healthcare disciplines, including emergency medical services (EMS). Development and implementation of online paramedic courses with the quality of education experienced in the traditional classroom setting is essential in order to maintain the integrity of the educational process. Currently, there is conflicting evidence of whether a significant difference exists in student performance between online and traditional nursing and allied health courses. However, there are no published investigations of the effectiveness of online learning by paramedic students.Hypothesis:Performance of paramedic students enrolled in an online, undergraduate, research methods course is equivalent to the performance of students enrolled in the same course provided in a traditional, classroom environment.Methods:Academic performance, learning styles, and course satisfaction surveys were compared between two groups of students. The course content was identical for both courses and taught by the same instructor during the same semester. The primary difference between the traditional course and the online course was the method of lecture delivery. Lectures for the on-campus students were provided live in a traditional classroom setting using PowerPoint slides. Lectures for the online students were provided using the same PowerPoint slides with prerecorded streaming audio and video.Results:A convenience sample of 23 online and 10 traditional students participated in this study. With the exception of two learning domains, the two groups of students exhibited similar learning styles as assessed using the Grasha-Riechmann Student Learning Style Scales instrument. The online students scored significantly lower in the competitive and dependent dimensions than did the on-campus students. Academic performance was similar between the two groups. The online students devoted slightly more time to the course than did the campus students, although this difference did not reach statistical significance. In general, the online students believed the online audio lectures were more effective than the traditional live lectures.Conclusion:Distance learning technology appears to be an effective mechanism for extending didactic paramedic education off-campus, and may be beneficial particularly to areas that lack paramedic training programs or adequate numbers of qualified instructors.

Stereotype threat, anxiety, instructor gender, and underperformance in women

2017 ◽  
Vol 18 (3) ◽  
pp. 213-229 ◽  
Author(s):  
Susan Kapitanoff ◽  
Carol Pandey
Keyword(s):  
Academic Performance ◽  
Stereotype Threat ◽  
Student Performance ◽  
Mathematics Anxiety ◽  
Role Model ◽  
Retention Rate ◽  
Specific Class ◽  
Female Role ◽  
Female Role Model ◽  
And Performance

Whatever their major, students are often required to take at least one course in statistics. After graduation, statistics is a key skill in numerous workplace settings. However, for many, it is a particularly difficult course. One factor that may play a role is the lingering misconception that women are not as good as men in mathematics subjects such as statistics. Belief in this gender stereotype can lead women to avoid taking this class and ultimately could contribute to their underrepresentation in many professions. Instructor gender may also be a factor that affects student performance. This study examined whether a female role model would reduce the detrimental effects of a gender/mathematics stereotype threat in women and improve their academic performance and retention rate. Several types of anxiety were measured to determine what aspects of anxiety might be most relevant to stereotype threat. For men, anxiety and performance were not related to the gender of their instructor or endorsement of the gender/mathematics stereotype. For women, mathematics anxiety and anxiety-about-the-specific-class were related to their endorsement of the stereotype. Having a female instructor initially led to higher rates of underperformance on the first examination among women as compared to men. Continued interaction with a female role model, however, reduced this deficit for women by the end of the semester. Understanding this process may help educators better prepare women for success in both academia and the professional world.

scholarly journals A THEORETICAL ANALYSIS OF STUDENTS’ ACADEMIC ACHIEVEMENT AND ASSOCIATED FACTORS

2021 ◽  
Vol 9 (47) ◽  
pp. 11543-11551
Author(s):  
Uma Sharma ◽  
Suraksha Bansal
Keyword(s):  
Academic Performance ◽  
Academic Success ◽  
Student Performance ◽  
School Environment ◽  
Economic Status ◽  
Educational Data Mining ◽  
Environment Pollution ◽  
Predicting Student Performance ◽  
Parental Family ◽  
And Behavior

The academic performance of student is influenced by several factors. Studies have been conducted in the field of educational data mining to find out what all the factors are that have an effect on a student's academic performance. There are many factors that can have an effect on a student's academic success, but our study aims to find the main factors that can have an effect on a student's academic performance. Predicting student performance becomes more difficult due to the large volume of information in academic databases. The responsibility of the teacher increases, she must be attentive to the activities and behavior of the student. To facilitate the work of a teacher, this study attempted to identify some factors that affect the academic performance of students. Our study could bring benefits and impacts to students, educators/teachers, and tutoring institutions. The factors investigated in this study are: student base knowledge, socio-economic status, college/school environment, environment pollution, teachers’ support, parental/family support, friend circle and health.

scholarly journals Computer Aided Instruction For Preschoolers In Mathematics

2014 ◽  
Vol 1 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Marylene Saldon Eder ◽  
Paul Rojas ◽  
Mary Grace Empasis ◽  
Love Jhoye Raboy
Keyword(s):  
Student Performance ◽  
Computer Technology ◽  
Learning Performance ◽  
Professional Lives ◽  
Multimedia Instruction ◽  
Computer Aided Instruction ◽  
Quality Of Teaching ◽  
Improving Student Performance ◽  
Multimedia In Education

Computers are increasingly a part of pre-schoolers to professional lives. The use of multimedia in education has significantly changed people’s learning processes. Computer technology holds promise for improving student performance and the quality of teaching education programs at all levels. Today, development has been rapid and technology has been acknowledged as an additional teaching tool. Results from a number of research studies indicate that appropriately designed multimedia instruction enhances students’ learning performance in mathematics, and literacy. The purpose of the present paper was to discuss research avenues employing computers as a learning tool and to analyze the results obtained by this method at the pre-schoolers learning level.

scholarly journals Exploring Goal–Setting Strategies of Prospective Physical Education Teachers to Maintain Academic Performance

2021 ◽  
Vol 13 (1) ◽  
pp. 473-484
Author(s):  
Jusuf Blegur ◽  
Aniq Hudiyah Bil Haq ◽  
Muya Barida
Keyword(s):  
Academic Performance ◽  
Physical Education ◽  
Learning Strategies ◽  
Goal Setting ◽  
Academic Failure ◽  
Learning Task ◽  
Learning Performance ◽  
Traumatic Experiences ◽  
Physical Education Teachers ◽  
Learning Challenges

Some students have successfully used goal–setting to maintain academic performance throughout their studies. Behind these successes, they implemented the strategy to the fullest, making their goals more manageable. This study explores the strategies of prospective physical education teachers using goal–setting to maintain academic performance. The research team used an exploratory qualitative approach to compare students’ experiences with good and bad academic reputations in maintaining academic performance through observation, interview, and documentation techniques. There were 11 students involved, both those with good academic reputations and vice versa. Spradley’s taxonomic analysis found that students had to reconstruct their way of learning because of traumatic experiences of academic failure and the economic limitations of the family. Goal–setting ensures that students complete their work on time and are more selective in using the clarity of information in lecturer learning designs. In addition, they reduce their learning challenges by learning and acting according to the assessment rubric, commit to each learning task and responsibility, use feedback to improve learning performance, and ensure all learning task needs by developing self–learning strategies.

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