Using an Online Tutorial to Teach REA Data Modeling in Accounting Information Systems Courses
Online learning has been gaining widespread adoption due to its success in enhancing student-learning outcomes and improving student academic performance. This paper describes an online tutorial to teach resource-event-agent (REA) data modeling in an undergraduate accounting information systems course. The REA online tutorial reflects a self-study application designed to help students improve their understanding of the REA data model. As such, the tutorial acts as a supplement to lectures by reinforcing the concepts and incorporating practices to assess student understanding. Instructors can access the REA online tutorial at http://smu.sg/rea. An independent survey by the University's Centre for Teaching Excellence found a significant increase in students' perceived knowledge of REA data modeling after using the REA online tutorial compared to their knowledge prior to using the tutorial. Students also rated their overall satisfaction with and the effectiveness of the REA online tutorial as high.ABSTRACT
INTRODUCTION
Individuals often perceive accounting education as a traditional and conservative discipline, with accountants not as accepting of change and challenges as individuals do in other fields, such as bio-technology and computer science (Holtzblatt and Tschakert, 2011). However, educational pedagogies have changed significantly in recent times, with accounting professionals and educators calling for a broader and more flexible approach to the teaching of accounting, such as the incorporation of information and communication technology (ICT) in the curriculum (Wessels, 2010). Furthermore, the accounting profession has recommended the use of computers in classrooms to enhance student learning and to better prepare students for accounting careers (Lusher et al., 2012).
Online learning facilitates the educator-learner relationship through the use of various types of ICT and electronic resources. Educators have widely regarded the use of the Internet and multimedia applications in teaching and learning activities as a vital tool for effectively delivering educational content (Alsadhan et al., 2014; Gavira and Omoteso, 2013; Perera and Richardson, 2010). Multimedia e-learning, defined as the “dissemination of material in a computer-based presentation by combining text, graphics, video, animation and sound through the Internet (Cheng and Swanson, 2011)”, reflects an established method to enrich student learning. It has transformed conventional modes of delivering educational content such as books and written material into online, readily available interactive forms (Alsadhan et al., 2014). Wells et al. (2008) also found that the use of technology in educational settings assists in the achievement of learning outcomes.
The positive experience of engaging in online learning applies to the accounting curriculum. Wong (2012) surveyed first-year accounting students about their attitudes towards e-learning and their perceptions of the effectiveness of online options in facilitating their learning in an introductory accounting subject, and reported positive findings. Both Apostolou et al. (2011) and De Lange et al. (2003) highlighted the importance of incorporating the effective use of technology in enhancing accounting education.
This paper presents an innovative teaching methodology that involves an online tutorial to teach resource-event-agent (REA) modeling (McCarthy, 1982) in an undergraduate accounting information systems (AIS) course. We were motivated to develop the REA online tutorial as students indicated that they find REA modeling to be a challenging subject and would like to have more learning resources available to study it outside the classroom. As it is a self-study application designed to help students improve their understanding of REA modeling, the tutorial acts as a supplement to lectures. It reinforces the concepts and incorporates practices to assess student understanding. This paper intends to benefit other students by sharing the REA online tutorial with AIS instructors who may then incorporate it into their classes.
We organize the remainder of the paper as follows. First, we discuss the benefits of online learning as a pedagogical tool. Then a description of the online tutorial that was used to teach REA in an AIS course follows. Next, we discuss the feedback provided by the students who participated in the REA online tutorial.
ONLINE LEARNING AS A PEDAGOGICAL TOOL
Instructors have widely adopted online learning due to its success in improving student academic performance and enhancing student-learning outcomes (Baxter and Thibodeau, 2011; Hiralaal, 2012; Perera and Richardson, 2010; Sargent et al., 2011; Teo and Wong, 2013). In multimedia-based online learning courses especially, students engage in and devote full attention to the online instruction due to the vividness of the presentation and sound as well as the hands-on interactive activities, all of which optimize the student's capacity to capture information and engender better learning outcomes (Cheng and Swanson, 2011).
In accounting education, Gavira and Omoteso (2013) found that students learning financial accounting experienced positive learning experiences by using computerized tutorial systems. Most accounting students viewed virtual learning favorably, and Sargent et al. (2011) found their learning outcomes improved with the increased use of supplementary online materials. For example, the use of e-tutoring systems across business disciplines, such as finance and management information systems, boosted student-learning outcomes by 12% relative to students who used text-based resources (Cheng and Swanson, 2011). Perdisco, a highly customized e-learning tool that utilized an e-workbook and required students in a financial accounting course to use computers and the Internet, also improved student-learning outcomes (Bolt and Flynne, 2009). Other studies further indicated that the use of technology in teaching and learning motivates students to learn (Hiralaal, 2012; Jebeile and Abeysekera, 2010; Suwardy et al., 2013; Tan and Ferreira, 2011). Sargent et al., (2011) found increased motivation to learn in students enrolled in introductory accounting courses because students readily accessed the learning materials through digital media that responded to students' expectations for immediate access to flexible learning activities.
Similarly, the Durban University of Technology supported this view by identifying online learning as one of the objectives in reforming their curriculum. Thus, they implemented it along with face-to-face interaction as a teaching approach in accounting education (Hiralaal, 2012). The university made additional resources easily accessible online, and the students received instant feedback regarding their online assessments. Consequently, students saw a marked improvement in their performance in accounting classes and their motivation to learn increased (Hiralaal, 2012). Students involved in a virtual accounting lab also exhibited greater motivation through real world simulation and willingly spent more time practicing their accounting skills (Guo and Cai, 2013).
Online learning improves the flexibility of working hours for both students and teachers as they manage their time more effectively by taking greater control of their learning outside the class (Gavira and Omoteso, 2013). For example, tertiary students use multimedia-based Accounting e-Tutor learning modules to access accounting materials without time and place restrictions, which helps them cultivate new skills and professional knowledge outside the conventional classroom (Cheng and Swanson, 2011). Furthermore, the use of an online environment can potentially increase on-task time through the intrinsic motivation produced by immediate feedback and minimize the time spent on other tasks, such as commuting to brick-and-mortar institutions (Bolt and Flynne, 2009).
THE REA ONLINE TUTORIAL
This paper describes a teaching innovation that involves an online tutorial to teach REA modeling in an undergraduate AIS course. The design of this self-study application helps students improve their understanding of the REA data model by acting as a supplement to lectures to reinforce the concepts and incorporate practices to assess student understanding.
Scope and Learning Objectives
The REA online tutorial, accessible at http://smu.sg/rea (see Appendix for selected screenshots), allows students to review and apply the concepts that they have learned in class through interactive storytelling and exercises.
We organized the REA online tutorial into the following six sections:
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REA Data Model: Students review an overview of the REA data modeling technique.
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Revenue Cycle: Students view a revenue cycle and apply the REA data modeling.
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Expenditure Cycle: Students view an expenditure cycle and apply the REA data modeling.
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Combined REA Model: Students learn how to integrate the revenue cycle and the expenditure cycle in a combined REA data model.
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Implementing REA Diagram: Students learn how to implement and incorporate the combined REA data model in the data tables. Students also view video demonstrations to apply the combined REA data model in Microsoft Access.
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Summary and Quiz: After going through the above content, students take a quiz based on the business processes of another company.
The learning objectives of the REA online tutorial include: (1) students explaining the steps to develop an REA data model, (2) students applying the rules to combine REA data models, (3) students explaining the steps of an REA data model, and (4) students translating an REA data model into a Microsoft Access database. The students develop an understanding of REA data modeling by completing an online tutorial.
Intended Audience and Time Requirement
We assigned the REA online tutorial as part of an undergraduate AIS course. These full-time university students range in ages between 19 and 21 years. Students typically take the AIS course during their second year at the university. We structure the REA online tutorial in six sections, and students require approximately one hour to complete the entire tutorial. Students can pause at any time while going through the online tutorial and can complete the six sections in several sittings.
Implementation Guidance
Instructors can assign the REA online tutorial as a supplementary learning resource after covering the REA data modeling topic in the AIS course. Students can complete the online tutorial after class as a review exercise to consolidate their level of knowledge about REA data modeling. Different exercises are embedded at various points throughout the lesson, and students are not allowed to proceed until they have provided the correct responses. For selected exercises, the online tutorial displays the correct responses after several unsuccessful attempts. Instructors are not required to conduct any manual grading.
FINDINGS AND DISCUSSION
The University's Centre for Teaching Excellence (CTE) conducted an online survey to evaluate the project and provided the results. Over a period of three semesters, 257 voluntarily participated in the survey.
Perceived Knowledge of REA Data Modeling
Students rated their knowledge of REA data modeling before and after using the REA online tutorial. We conducted a paired-samples t-test to compare the perceived knowledge of REA data modeling before and after viewing the REA online tutorial.
The results indicate that students' mean perceived knowledge of REA data modeling differs between the two time periods, specifically, before using the REA online tutorial (M = 3.97, SD = 1.021) and after using the REA online tutorial (M = 5.29, SD = 0.832) at the 0.01 level of significance (t = −23.469, df = 256, p < 0.01). Because the sample included students over three semesters, we conducted additional paired-samples t-tests for each of the three semesters, and the results did not differ. For each of the three semesters, a significant difference existed in the perceived knowledge of REA data modeling of students before and after using the REA online tutorial.

Student Feedback
We asked students to rate their overall satisfaction with the REA online tutorial on a four-point Likert scale ranging from very dissatisfied (= 1) to very satisfied (= 4). The mean satisfaction rating of 3.19 (SD = 0.488) indicates that a large majority of respondents were satisfied with the REA online tutorial (see Table 2), as 193 students (75.1 percent) said they were satisfied and 57 students (22.2 percent) were very satisfied with the REA online tutorial. The remaining seven students (2.7 percent) indicated that they were dissatisfied or very dissatisfied.

We asked students to rate the effectiveness of the REA online tutorial in enhancing their learning of REA data modeling on a four-point Likert scale ranging from very ineffective (= 1) to very effective (= 4). The mean effectiveness rating of 3.15 (SD = 0.445) indicates that the REA online tutorial was effective in helping students to learn REA data modeling (see Table 2), as 202 respondents (78.6 percent) rated the REA online tutorial as effective and 46 respondents (17.9 percent) rated it as very effective with respect to facilitating their learning about REA data modeling. Six students (2.3 percent) found it ineffective, and one student indicated it was very ineffective.
We then asked students about the instructional design of the REA online tutorial (see Table 3). The results indicate that students were positive about the REA online tutorial. A large majority of respondents indicated that the REA online tutorial was engaging (M = 3.34, SD = 0.585). Of the 257 respondents, 148 students (57.6 percent) agreed and 99 students (38.5 percent) strongly agreed that the tutorial was engaging. Only ten students (3.9 percent) did not agree that the REA online tutorial was engaging.

We also asked students about the learning content of the REA online tutorial (see Table 4). The results indicate that students were satisfied with the learning content of the REA online tutorial. A large majority of respondents indicated that the content was logical (M = 3.48, SD = 0.6), well-developed (M = 3.4, SD = 0.661) and appropriate to their skill level (M = 3.37, SD = 0.696). Of the 257 respondents, only seven students (2.7 percent) did not agree that the activities, content and assessments in the REA online tutorial met the stated learning goals. Of the remaining 250 respondents, 136 students (52.9 percent) agreed and 114 students (44.4 percent) strongly agreed that the activities, content and assessments met the stated learning goals.

Regarding limitations of this study, many of the student survey questions currently appear in a positive form rather than in a reverse coded format. This implies that the likelihood that some respondents may simply select one value exists and this may affect the outcome of the questions.
Student feedback was unusually positive in this study. This may be due to the Asian culture, which generally discourages people from criticizing authorities. In many East and Southeast Asian cultures, Confucian ideals, which include respect for elders, strongly influence behavior, and most Asian parents teach their children to respect authority and to conform to expected behaviors. That said, students give teachers in Asian cultures a higher status than students provide teachers in Western countries (Baruth and Manning, 1992).
Respondents also provided qualitative feedback. Students valued the REA online tutorial as a useful supplementary resource outside the classroom. They claimed that the tutorial sustained their interest in the course materials and assisted them in understanding the REA data model. Table 5 provides selected student comments. Findings of this study corroborate the findings of prior studies that online tutorials facilitate and enhance student learning.

CONCLUSION
This paper presents an online tutorial that teaches REA data modeling in an undergraduate AIS course. We introduced the REA online tutorial in an attempt to allow students to recap and apply the concepts that they have learned in class through an interactive storytelling and exercise approach. The results of an independent survey conducted by the University's CTE confirm that the REA online tutorial effectively facilitates and improves student learning and understanding of the REA data model. The results further indicate that students significant increased their perceived knowledge of REA data modeling when comparing students' knowledge before and after they viewed the REA online tutorial. Students also exhibited high overall satisfaction with the tutorial and rated it as highly effective.
Though many students have found such online tutorials useful, certain drawbacks exist that instructors must consider. For example, learners may feel a sense of isolation (O'Donoghue et al., 2004) because online learning, for the most part, results in a solo act in which the learner may feel that he or she is acting completely alone. Additionally, a lack of flexibility with respect to online tutorials may exist, as instructors may not easily adjust the course in response to student reaction once the course begins (Alexander et al., 2012).
Future studies can examine the effectiveness of an online tutorial in accounting courses other than AIS. Future studies could also compare the effectiveness of the online learning approach with other learning interventions.

Welcome screen of the REA online tutorial

First screen of the REA Data Model section

Subsequent screen of the REA Data Model section

Introduction to the REA data model

Learning objectives of the REA online tutorial

Task within the revenue cycle

Feedback after attempting the task

Further task within the revenue cycle

Expenditure cycle section

Combining REA model section

Implementing REA model section

Summary and Quiz section
Contributor Notes
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