Socioeconomic Status– and Gender‐Based Differences in Students’ Perceptions of E‐Learning Systems

Many universities are pursuing increases in on‐line course offerings as a means of offsetting the rising costs of providing high‐quality educational opportunities and of better serving their student populations. However, enrollments in online courses are not always sufficient to cover their costs. One possible way of improving enrollments is through marketing campaigns targeted to specific demographic groups. In this study, we take a first look into how students’ perceptions of e‐learning systems, prior to their enrollment in an online course, vary across socioeconomic status and gender. Findings suggest that prior to taking an online course, working‐class students perceive e‐learning systems more positively than their middle‐class peers but that little difference exists between genders. Armed with this knowledge, universities may improve online course enrollments by marketing online courses specifically to working‐class students or through campaigns aimed at improving middle‐class students’ perceptions of e‐learning systems.     

Investigating Business Schools' Intentions About Offering E‐Commerce Education Using an Extended Theory of Planned Behavior*

This study investigates business schools' intentions about offering e‐commerce education (ECE) using an extended theory of planned behavior (ETPB). The need for an adequate match between future supply and demand of e‐commerce skills constitutes the main motivation for the study. The results show that most business schools consider ECE important for an adequate preparation of their students for today's competitive labor market. In addition, the proposed ETPB fits well the empirical data and predicts 65.2% of the variances in the schools' intentions about offering ECE. The results can help business schools in their curriculum decisions in at least two ways: (1) through the likely effect of social contagion and (2) through the constructs in the ETPB. First, institutional theory clearly indicates that organizations tend to adopt a new behavior when there is evidence that other organizations in their population have adopted or are likely to adopt that behavior. Having provided such evidence for ECE, this study is likely to promote the adoption of this educational product innovation. Second, the fact that the postulated ETPB fits well the empirical data suggests that administrators of business schools may pay attention to the key constructs when making curriculum decisions. Overall, the study has both theoretical and practical implications. Theoretically, it contributes to a growing literature on the adoption of innovative educational products like ECE. Practically, it provides valuable insights that administrators of business schools can use in their strategic curriculum decision making.     

Structuring the Classroom for Performance: Cooperative Learning with Instructor‐Assigned Teams*

The main concern is a longstanding one in classroom instruction—the determinants of effective team performance. The paper explicitly examines the effect of teacher‐controlled factors on the use and functioning of student teams. From a sample of 500 undergraduate students, data are obtained on aptitude, diversity, instability, motivation, personality style, size, and performance. The regression results suggest that team motivation and instability, which are both partly controlled by the instructor, are particularly important in determining a team's performance. An implication is that instructor decisions about team make‐up and incentives can have a significant impact on student achievement.     

Applying Mass Customization Concepts to Core Courses: Increasing Student‐Centered Customization and Enabling Cross‐Functional Integration

This conceptual paper suggests a methodology for increasing student satisfaction in core courses by applying the principle of mass customization to increase student satisfaction. It proposes that customization can be increased by increasing course flexibility along three dimensions: content flexibility, schedule flexibility, and course length flexibility. The increased flexibility provides opportunities for both student‐centered customization and the cross‐functional integration of the core course with other disciplines. Core courses were targeted because of their high volume of students specializing in something other than the core course being taught and the associated general disinterest of these types of students. There are two main sections. The first section provides an overview to the proposed course structure while the second provides suggestions about computer‐based technology that can be used to support the structure presented in the first section. Examples are presented that pertain to a core course in statistics, but the technology and course structure presented are easily adaptable to core courses in any discipline.     

A Bookstore for Bailey: A Novel Approach to Teaching a Small‐Business Management Course

This article presents the development of an online, student‐centered, introductory small‐business management course that uses an educational business novel, hypertext graphic‐design features, an interactive workbook, and a student‐authored final chapter. Student learning was assessed through the use of a pre‐ and posttest survey. Student reflection was incorporated to make students consider the impact of learning. Results showed that student learning and understanding increased in two separate courses.     

Knowledge Acquisition and Memory Effects Involving an Expert System Designed as a Learning Tool for Internal Control Assessment*

The assessment of internal control is a consideration in all financial statement audits, as stressed by the Statement on Auditing Standards (SAS) No. 78. According to this statement, “the auditor should obtain an understanding of internal control sufficient to plan the audit” ( Accounting Standards Board, 1995 , p. 1). Therefore, an accounting student will progress through the auditing course with the responsibility of learning how and why internal controls are assessed. Research in expert systems applied to auditing has shown that there is strong support for the constructive dialogue used in expert systems as a means of encouraging their use in decision making ( Eining, Jones, & Loebbecke, 1997 ). The purpose of this study is to provide the student or novice auditor with a method for developing a more comprehensive understanding of internal controls and the use of internal controls in audit planning. The results of the study reinforce previous findings that novices do better when an expert system applies analogies along with declarative explanations, and clarifies the length of time in which the use of active learning in a training system can provide an improvement to declarative knowledge, but procedural knowledge must be acquired over a longer time frame.     

The Impact of CMS Quality on the Outcomes of E‐learning Systems in Higher Education: An Empirical Study

Course Management Systems (CMSs) in higher education have emerged as one of the most widely adopted e‐learning platforms. This study examines the success of e‐learning CMSs based on user satisfaction and benefits. Using DeLone and McLean's information system success model as a theoretical framework, we analyze the success of e‐learning CMSs in five dimensions: system quality, information quality, instructional quality, user satisfaction, and CMS benefits. An analysis of survey data collected from students participating in a university‐wide CMS shows that system quality, information quality, and instructional quality positively influence user satisfaction, which, in turn, increases the benefits of CMSs. By providing a comprehensive framework for the critical success factors in e‐learning CMSs and their causal relationships, this study provides practical implications for managing e‐learning courses and resources for a more flexible and effective CMS‐centered, e‐learning environment.     

Project Cheddarfield: Supporting Co‐Curricular Themes Through Creative Use of Video Course‐Casting

This article chronicles the coordination and better integration of existing institutional resources to support cocurricular themes embedded in the provision of a large enrollment, video‐mediated undergraduate operations management (OM) course. The name Project Cheddarfield refers to a 2008 initiative in which two professors team‐taught an OM course to over 600 undergraduates on two different continents through the repeated rapid exchange of digital video between the United States and Singapore. Simultaneously infused in this core curricular delivery were themes of global awareness and study‐abroad, including the promotion of one particular opportunity that bridged the two campuses. This action research narrative spans over 5 years of related activity leading up to the initiative, as this project is best understood as a trajectory, or the evolving result of design adapting to unfolding realities.     

Defining,Assessing, and Promoting E‐Learning Success: An Information Systems Perspective*

This research advances the understanding of how to define, evaluate, and promote e‐learning success from an information systems perspective. It introduces the E‐Learning Success Model, which posits that the overall success of an e‐learning initiative depends on the attainment of success at each of the three stages of e‐learning systems development: system design, system delivery, and system outcome. To study this model, an online version of an undergraduate quantitative methods core course for business students is developed using a prototyping strategy. Four cycles of development are traced, each comprised analysis, design, implementation, testing, and enhancement. Findings from the study confirm the validity of using the proposed success model for e‐learning success assessment. In addition, an action research methodology is also found to be a valuable impetus for promoting e‐learning success through an iterative process of diagnosing, action planning, action taking, evaluating, and learning.     

Methods of Instruction and Learning Outcomes: A Theoretical Analysis of Two Approaches in an Introductory Information Technology Course*

In introductory information technology (IT) courses, communicating technical concepts so that they can be comprehended by all students, technical and nontechnical, has been a concern. Another challenge in such courses is to teach the real‐world applicability of technical concepts. In this conceptual article, we focus on a relatively unexplored issue in IT education—which instructional method is more effective in improving the learning outcomes of all students taking introductory IT courses. In doing so, we consider two instructional methods, lecture and multimedia case studies, and argue that either of these instructional methods, adopted singly, will be perceived by students as less effective in accomplishing learning outcomes than adopting a combination of the two instructional methods. Our arguments both augment existing knowledge about the differential influence of lecture and multimedia case studies on students’ learning outcomes and questions the wisdom of adopting either of these methods singly in introductory IT courses. We derive insights from the literature and anecdotal evidence, presented as four propositions, which illustrate the relationship between the two instructional methods and the specific learning outcomes students perceive they affect.     

Encouraging E‐Textbook Adoption: Merging Two Models

This research builds a new model by drawing upon e‐textbook adoption models developed in two recent publications, which share similarities but have different findings. Although they both achieve positive results, these two prior e‐textbook studies employ different methods and background theories. This research bridges these earlier models and develops a third, parsimonious, blended model for e‐textbook adoption. Using a survey of undergraduate students, the authors first assess each model independently. Broadening the diversity of the sample population yields results that are similar, yet slightly different from those found in the prior two studies. Next, this study develops a single blended, parsimonious model that explains a higher proportion of the variance than the prior studies with just three constructs: perceived usefulness, hedonic motivation, and habit. In addition to developing and testing a new parsimonious model, this research provides theoretical and practical guidance for e‐textbook usage.     

Integrating Geographic Information Systems in Business School Curriculum: An Initial Example

Geographic information systems have experienced rapid growth and user adoption over the last four decades, due to an increasing value to the business community. However, business schools are not teaching geospatial concepts and the related location intelligence to their students. This curriculum decision seems completely at odds with business’ day‐to‐day dependence on a wide array of geographic information system applications. Business schools typically teach relational and object‐oriented database courses, quantitative methods, decision supports systems, and Visual Basic for Applications, which are all directly related to the basic concepts of geographic information systems. In addition, these concepts are all part of location intelligence, a more business intuitive term than geospatial analysis. Spatial data modeling is discussed and compared to standard data modeling frameworks such as ANSI/SPARC. Geographic standards are introduced, along with an overview of the OpenGIS Simple Features Specification for SQL. A discussion of how to utilize MySQL open source database software for spatial queries is included, along with a comparison to PostgreSQL/PostGIS. Through the use of these software programs and the techniques introduced in this article, it is possible to integrate the concepts of location intelligence into business curriculum without requiring students to learn new GIS‐specific programs. Enhancing student knowledge of this subject area through existing skill sets provides for smoother integration of this material into existing curriculum, as these topics could be added into established courses and would not require new courses to be developed.     

Interpretive responses to images in picture books by primary and secondary school students: Exploring curriculum expectations of a ‘visual grammatics’

As well as maintaining the central role of literature, the new Australian Curriculum: English emphasises the multimodal nature of literacy and requires students in primary and secondary schools to develop explicit knowledge about visual and verbal grammar as a resource for text interpretation and text creation. This study investigated the use of visual grammatics in interpreting picture books by students across Years Four, Five, Seven and Ten following an intensive professional learning programme undertaken by their teachers. A proposed framework describes variation in students' interpretive stance from tactical to diegetic to semiotic. Levels of student semiotic understanding are differentiated and differences between students' oral and written interpretations are discussed in relation the need for explicit teaching of written interpretive responses to multimodal literary texts, drawing on an articulated visual and verbal grammatics appropriate to the teaching of English in primary and secondary schools.     

A System's View of E‐Learning Success Model

The past several decades of e‐learning empirical research have advanced our understanding of the effective management of critical success factors (CSFs) of e‐learning. Meanwhile, the proliferation of measures of dependent and independent variables has been overelaborated. We argue that a significant reduction in dependent and independent variables and their measures is necessary for building an e‐learning success model, and such a model should incorporate the interdependent (not independent) process nature of e‐learning success. We applied structural equation modeling to empirically validate a comprehensive model of e‐learning success at the university level. Our research advances existing literature on CSFs of e‐learning and provides a basis for comparing existing research results as well as guiding future empirical research to build robust e‐learning theories. A total of 372 valid unduplicated responses from students who have completed at least one online course at a university in the Midwestern United States were used to examine the structural model. Findings indicated that the e‐learning success model satisfactorily explains and predicts the interdependency of six CSFs of e‐learning systems (course design quality, instructor, motivation, student‐student dialog, student‐instructor dialog, and self‐regulated learning) and perceived learning outcomes.     

Active Learning through Modeling: Introduction to Software Development in the Business Curriculum*

Modern software practices call for the active involvement of business people in the software process. Therefore, programming has become an indispensable part of the information systems component of the core curriculum at business schools. In this paper, we present a model‐based approach to teaching introduction to programming to general business students. The theoretical underpinnings of the new approach are metaphor, abstraction, modeling, Bloom's classification of cognitive skills, and active learning. We employ models to introduce the basic programming constructs and their semantics. To this end, we use statecharts to model object's state and the environment model of evaluation as a virtual machine interpreting the programs written in JavaScript. The adoption of this approach helps learners build a sound mental model of the notion of computation process. Scholastic performance, student evaluations, our experiential observations, and a multiple regression statistical test prove that the proposed ideas improve the course significantly.     

Hybrid E‐Learning Acceptance Model: Learner Perceptions

E‐learning tools and technologies have been used to supplement conventional courses in higher education institutions creating a “hybrid” e‐learning module that aims to enhance the learning experiences of students. Few studies have addressed the acceptance of hybrid e‐learning by learners and the factors affecting the learners’ satisfaction with these tools. This study assesses hybrid e‐learning acceptance by learners using three critical success factors: instructor characteristics, information technology infrastructure, and organizational and technical support. Structural equation modeling was applied to examine and validate the hypothesized relationships among the three factors and their effects on learners’ acceptance of hybrid e‐learning. A total of 538 usable responses from university students were used to validate the proposed research model. The influence of the three factors on learners’ decision to accept hybrid e‐learning was empirically examined. The results show that all three factors significantly and directly impacted the learners’ acceptance of hybrid e‐learning courses. Information technology infrastructure and organizational support were proven to be key determinants of the instructor characteristics as a critical success factor of hybrid e‐learning acceptance by learners. Implications of this work for higher education institutions, researchers, and instructors are described.     

Evidence‐Based Teaching in Higher Education: Application to Counselor Education

The authors examined best practices in university‐level teaching, as premised on the evidence‐based teaching (EBT) literature found in fields external to counselor education. Findings were reported in relation to 3 areas: developing an effective learning environment, structuring intentional learning experiences, and assessing teaching effectiveness. Implications regarding the training of doctoral‐level counselor educators using EBT practices are discussed.     

Examining the Relationship between Math Self‐Efficacy and Statistics Motivation in the Introductory Business Statistics Course: Self‐Compassion as a Mediator

Because business statistics students often experience a lack of statistical motivation, business educators need to understand the factors that influence students’ motivation levels in undergraduate‐level business statistics courses. The purpose of this study was to examine the role of math self‐efficacy and self‐compassion on students’ motivation levels and the gender differences among the main variables. The regression results showed that math self‐efficacy was a positive predictor of statistics motivation. Self‐compassion was also found to be a partial mediator of the relationship between math self‐efficacy and statistics motivation. Gender differences were also found in business students’ math self‐efficacy, self‐compassion, and statistics motivation.     

Flipping Online Analytics Classes: Achieving Parity with Their Face‐To‐Face Counterparts

We show how the principles of flipped learning that have been successfully applied to analytics classes taught face‐to‐face (F2F) at the undergraduate and graduate levels were emulated in corresponding online classes. Student satisfaction in the online flipped analytics classes was compared to student satisfaction in the F2F flipped analytics classes. Data were collected between the Spring 2016 and Fall 2018 semesters and involved two instructors with a sample of 726 students. The results of an independent samples t‐test showed that there was no significant difference in satisfaction between the online and F2F offerings. A binary logistics regression analysis on the data revealed that whether the flipped course was taught F2F or online had no significant effect on students recommending the course to their peers. The results suggest that flipped learning is transferrable to online analytics courses and yields student satisfaction at par with equivalent F2F flipped courses.