scholarly journals Academic Motivation in Introductory Business Analytics Courses: A Bayesian Approach

2021 ◽  
pp. 1-9
Author(s):  
Stacey Vaziri ◽  
Baback Vaziri ◽  
Luis J. Novoa ◽  
Elham Torabi
Keyword(s):  
Linear Regression ◽  
Student Perceptions ◽  
Bayesian Approach ◽  
Student Motivation ◽  
Academic Motivation ◽  
Business Analytics ◽  
Instructor Rating ◽  
Music Model ◽  
Model Components ◽  
The Impact

The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically, the study will attempt to answer the questions of whether students’ scores on the MUSIC model predict or explain effort, academic performance, course rating, and instructor rating. A Bayesian approach to linear regression is used to determine and understand the impact of the MUSIC model components on the aforementioned output measures.

Development and evaluation of a chemistry-specific version of the academic motivation scale (AMS-Chemistry)

2017 ◽  
Vol 18 (1) ◽  
pp. 191-213 ◽  
Author(s):  
Yujuan Liu ◽  
Brent Ferrell ◽  
Jack Barbera ◽  
Jennifer E. Lewis
Keyword(s):  
Academic Achievement ◽  
Pilot Study ◽  
Intrinsic Motivation ◽  
Student Motivation ◽  
Academic Motivation ◽  
Medium Effect ◽  
Validity Evidence ◽  
Academic Motivation Scale ◽  
Motivation Scale ◽  
The Impact

Fundamentally concerned with motivation, self-determination theory (SDT) represents a framework of several mini-theories to explore how social context interacts with people's motivational types categorized by degree of regulation internalization. This paper aims to modify an existing theory-based instrument (Academic Motivation Scale, or AMS) and provide validity evidence for the modified instrument (Academic Motivation Scale-Chemistry) as a measure of seven types of student motivation toward chemistry. The paper explores how motivation as measured by AMS-Chemistry is related to student academic achievement and attendance. In a pilot study, the unmodified AMS showed good reliability, reasonable data fit, and the ability to detect motivational differences by sex in college chemistry courses. Based on the pilot study results, expert panel discussions, and cognitive interviews with students, the Academic Motivation Scale – Chemistry (AMS-Chemistry) was developed. AMS-Chemistry was administered to university students in a first semester general chemistry course twice within a semester. An examination of validity evidence suggested that the AMS-Chemistry data could be used to investigate student motivation toward chemistry. Results showed students were extrinsically motivated toward chemistry on average, and there was an overall motivational difference favoring males with a medium effect size. Correlation studies showed motivation was not associated with academic achievement at the beginning of the term, but intrinsic motivation subscales (to know, to experience, and to accomplish) were positively associated with academic achievement at the end of the term. Results also showed that students who persisted in class attendance scored higher on intrinsic motivation subscales than those who did not persist. The 28-item AMS-Chemistry is easy to administer and can be used to better understand students’ motivation status and how it might change across the curriculum. Faculty interested in promoting student intrinsic motivation may also use the AMS-Chemistry to evaluate the impact of their efforts.

scholarly journals Do Students Really Want to Know? Investigating the Relationship between Learning Analytics Dashboards and Student Motivation

10.28945/4352 ◽  
2019 ◽  
Keyword(s):  
Information Technology ◽  
Student Motivation ◽  
Learning Analytics ◽  
Academic Motivation ◽  
Online Survey ◽  
The Body ◽  
Future Research ◽  
Information Technology Students ◽  
Ranking Information ◽  
The Impact

Aim/Purpose: The aim of this project was to explore the perceptions of information technology students about student-facing learning analytics dashboards that display ranking information, and whether they perceive that their motivation to study would be influenced by the use of dashboards that display their performance relative to other students. Background: While there has been a focus on the use of learning analytics dashboards by academics to inform their teaching, there has not been as much exploration of the use of student-facing dashboards, nor on the effect that students believe these dashboards will have on their motivation to study. Methodology: The research surveyed students enrolled in Information Technology courses at an Australian university. Data about students’ academic motivation was gathered using a short, online survey. Contribution: The paper adds to knowledge of the impact on students of student-facing learning analytics dashboards. Findings: A majority of students (63%) would like to see their cohort-ranking via a dashboard, though a large majority (91%) preferred that their ranking not be made available to other students. Students who were highly motivated to study were more likely to wish to have their ranking made available via dashboards. Those students who viewed a dashboard showing them as highly ranked relative to the unit average for an assignment were significantly more likely to be more motivated to study in this unit than those who were shown to be ranked well below the average. Recommendations for Practitioners: Although students were generally in favor of their cohort ranking being made available using dashboards, universities should proceed with caution when implementing these student-facing dashboards because of the potential for demotivating students. Recommendations for Researchers: Further investigation of the reasons why students do not wish to have their rankings made available via dashboards is needed. Impact on Society: This research contributes to the body of knowledge regarding student motivation and its relationship with student-facing learning analytics dashboards. Future Research Given the complexity of the issues investigated, more research is needed in this area.

scholarly journals The Impact Of Business Faculty Attire On Student Perceptions And Engagement

2009 ◽  
Vol 6 (1) ◽  
Author(s):  
David L. Carr ◽  
Angeline M. Lavin ◽  
Thomas L. Davies
Keyword(s):  
Student Perceptions ◽  
Student Motivation ◽  
Active Role ◽  
Classroom Setting ◽  
Business Faculty ◽  
Business Courses ◽  
Midwestern University ◽  
Survey Results ◽  
And Behavior ◽  
The Impact

Certainly not a new phenomenon, professors continue to strive to discover the magic elixir that will cause all students to become active participants in the learning process. It seems logical that if students find a topic interesting or pertinent to their career objectives, they will tend to take a more active role in a course. Perhaps as reasonable to assume, if instructors are engaging and have the respect of the class, students will naturally put forth more effort to master the material.  Prior studies have also shown that certain pedagogical devices and innovations, such as the usage of presentation technology, can positively impact student motivation. This study explored whether something as basic as the professor’s attire could also have a motivating effect on student perceptions and behavior in a college classroom setting. This paper summarizes the results of a survey pertaining to faculty dress that was administered to students enrolled in selected business courses at a mid-sized Midwestern university. Students were asked their opinion of whether the professional or unprofessional dress of the instructor would conceivably impact their own learning and effort. The survey results show that, in general, students perceive professional dress positively, and adjust their behavior accordingly.

scholarly journals Web-Based Homework Systems: Students’ Perceptions of Course Interaction and Learning in Mathematics

2019 ◽  
Vol 1 (2) ◽  
pp. 57-62
Author(s):  
Derar Serhan
Keyword(s):  
Student Perceptions ◽  
Student Motivation ◽  
Learning Experience ◽  
Positive Influence ◽  
Study Data ◽  
Management Systems ◽  
Immediate Feedback ◽  
Web Based ◽  
The Past ◽  
The Impact

The use of web-based homework management systems has been on the rise for the past few years. These systems provide digital alternatives to the traditional paper-and-pencil assignments. The current study aimed at investigating student perceptions of the impact of the use of web-based homework systems on students’ active learning in mathematics. The study also investigated the effects of specific features of these systems such as immediate feedback and multiple attempts on student motivation and practice. Ninety-seven college students enrolled in a mathematics course participated in this study. Data were collected using a 5-point Likert-type questionnaire. The results indicated that students had a positive attitude toward the use of web-based homework systems and they also felt motivated to do more practice using the different features of these systems. Students perceived the web-based homework systems to have a positive influence on their learning experience in the classroom.

Estimating individual promotional campaign impacts through Bayesian inference

2014 ◽  
Vol 31 (6/7) ◽  
pp. 541-552
Author(s):  
Keith Becker ◽  
Jim Sprigg ◽  
Alex Cosmas
Keyword(s):  
Bayesian Inference ◽  
Linear Regression ◽  
Bayesian Approach ◽  
Sparse Data ◽  
Content Type ◽  
Current State ◽  
State Of Practice ◽  
Promotional Campaign ◽  
Future Work ◽  
The Impact

Purpose – The purpose of this paper is to estimate individual promotional campaign impacts through Bayesian inference. Conventional statistics have worked well for analyzing the impact of direct marketing promotions on purchase behavior. However, many modern marketing programs must drive multiple purchase objectives, requiring more precise arbitration between multiple offers and collection of more data with which to differentiate individuals. This often results in datasets that are highly dimensional, yet also sparse, straining the power of statistical methods to properly estimate the effect of promotional treatments. Design/methodology/approach – Improvements in computing power have enabled new techniques for predicting individual behavior. This work investigates a probabilistic machine-learned Bayesian approach to predict individual impacts driven by promotional campaign offers for a leading global travel and hospitality chain. Comparisons were made to a linear regression, representative of the current state of practice. Findings – The findings of this work focus on comparing a machine-learned Bayesian approach with linear regression (which is representative of the current state of practice among industry practitioners) in the analysis of a promotional campaign across three key areas: highly dimensional data, sparse data and likelihood matching. Research limitations/implications – Because the findings are based on a single campaign, future work includes generalizing results across multiple promotional campaigns. Also of interest for future work are comparisons of the technique developed here with other techniques from academia. Practical implications – Because the Bayesian approach allows estimation of the influence of the promotion for each hypothetical customer’s set of promotional attributes, even when no exact look-alikes exist in the control group, a number of possible applications exist. These include optimal campaign design (given the ability to estimate the promotional attributes that are likely to drive the greatest incremental spend in a hypothetical deployment) and operationalizing efficient audience selection given the model’s individualized estimates, reducing the risk of marketing overcommunication, which can prompt costly unsubscriptions. Originality/value – The original contribution is the application of machine-learning to Bayesian Belief Network construction in the context of analyzing a multi-channel promotional campaign’s impact on individual customers. This is of value to practitioners seeking alternatives for campaign analysis for applications in which more commonly used models are not well-suited, such as the three key areas that this paper highlights: highly dimensional data, sparse data and likelihood matching.

The Contribution of Sexual Identity Towards the Students’ Perception of Lesbian, Gay, Bisexual, and Transgender

10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sexual Identity ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Simple Linear Regression Analysis ◽  
Bisexual And Transgender

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.

The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (2) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

PENGARUH KUALITAS PELAYANAN DAN KEPERCAYAAN TERHADAP LOYALITAS NASABAH PT BANK MANDIRI,Tbk CABANG JAKARTA KELAPA GADING BARAT

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Analysis Tool ◽  
Positive Contribution ◽  
Homogeneous Population ◽  
Independent Variables ◽  
Research Population ◽  
The Impact

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Sign in / Sign up

Export Citation Format

Share Document