THE USE OF VISUAL AIDS IN FINANCIAL ACCOUNTING COURSES James M. Moore, Ph.D., C.P.A. Assistant Professor, Goodman School of Business Brock University, St. Catharines, Ontario, Canada [email protected] THE USE OF VISUAL AIDS IN FINANCIAL ACCOUNTING COURSES INTRODUCTION Existing literature suggests that visual aids increase learning, particularly where complex materials are being presented. Baker, Jones and Burkman (2009) provide a framework that suggests that sensemaking will be improved by visual aids when the visual aids possess several of the following four aspects: (1) support the four basic human visual perceptual approaches of association, differentiation, ordered perception, and quantitative perception, (2) have strong Gestalt properties, (3) are consistent with the viewer's stored knowledge, and (4) support analogical reasoning. This paper discusses my experience with two applications of visual aids in my financial reporting courses. Although I discuss the specific application of these visual aids to the topic of intercompany investments, the general approach should be applicable to other financial accounting topics. The first visual aid uses a numerical example and pie charts to illustrate the differences between the proprietary, parent company and the entity methods of consolidation. The second visual aid uses color coding in a consolidation problem in order to facilitate student’s understanding of the components of consolidated amounts. Anecdotal and course appraisal evidence suggests that the visual aids increase both the speed and depth of learning. This paper proceeds as follows. Section 2 provides a literature review on the use of visual aids, with emphasis on their application in business education. Section 3 discusses the two example visual aids. Section 4 discusses anecdotal and course appraisal evidence. Section 5 concludes. LITERATURE ON THE USE OF VISUAL AIDS IN ACCOUNTING EDUCATION Visual aids have been used in education for centuries. Visual aids in education include charts, graphs, pictures, demonstrations, use of color and more recently power point presentations. Visual aids can be helpful in maintaining student interest and explaining complicated concepts. Kinder (1942) provides one of the first reviews of the use of visual aids in education. Turney (1983) finds that effective use of audio and visual aids improves learning in secondary schools. Kozma, Belle and Williams (1978) find similar results for university students. “Ideas that are linked through visual symbols are also likely to be retained in the long-term memory. It is therefore worth a little time thinking out a visual presentation of key topics, relationships and processes. The effort may well deepen your own understanding of the topic as well as providing meaningful connections for your students”. Extant business education literature also suggests that visual aids may aid learning and improve student satisfaction with the learning process. Evans (1996) finds evidence suggesting that accounting student satisfaction with the learning process is improved when the learning package is prepared for both verbal and visual learners. Clarke, Flaherty and Yankey (2006) find evidence that visual aids improve marketing students’ performance and course satisfaction. Cognitive Fit Theory has been used to explain the benefits of visual aids. Cognitive Fit Theory suggests that when the representation of a problem matches the task type, cognitive fit can be achieved and decision making performance improved. Vessey (2006) provides a comprehensive review of a number of studies that have applied Cognitive Fit Theory. Research on the impact of visual aids in business education also suggests that visual aids may help learning, provided that they result in a good cognitive fit. Goswami, Chan and Kim (2008) provide experimental evidence suggesting that performance on spreadsheet error correction tasks can be improved when visual aids result in a good cognitive fit. Baker, Jones and Burkman (2009) discuss the application of Cognitive Fit Theory to the use of visual representations in data exploration tasks. Baker, Jones and Burkman (2009) discuss the impact of visual representations on sensemaking in data exploration tasks. They define sensemaking as “the ability to comprehend complex information, assimilate it, create order from it, and develop a mental model of the situation as a precursor to responding to the situation”1. While, Baker, Jones and Burkman (2009) focus on data exploration tasks, they conclude (p.13): ”Our characterization of visual representations suggests a large class of problems that can be represented by them.” They suggest that sense making will be improved by visual aids when the visual aids possess several of the following four aspects: (1) support the four basic human visual perceptual approaches of association, differentiation, ordered perception, and quantitative perception, (2) have strong Gestalt properties, (3) are consistent with the viewer's stored knowledge, and (4) support analogical reasoning. This paper discusses the application of these four aspects to two visual aids used in a financial reporting course that focuses on accounting for inter-corporate investments. Baker, Jones and Burkman’s (2009) model is summarized in Figure 1. A brief discussion of these four aspects follows. Bertin (1983) observed four human visual perceptual approaches: association, differentiation, ordered perception and quantitative perception. Association occurs when the viewer notes that two or more objects are similar. Differentiation occurs when the viewer notes that two or more objects are different. Ordered perception occurs when the viewer notes that an object has more of a particular attribute than another item. Quantitative perception occurs when the viewer notes that an object has some multiple of an attribute of another item. Gestalt properties allow the viewer to spot patterns in what they are viewing. Gestalt properties include similarity, proximity, symmetry, continuity, closure or an inference of common fate (such as all 1 Baker, Jones and Burkman (2009), p.2. objects appearing to travel in the same direction)2. When a visual representation is consistent with the viewer's knowledge, cognitive cost are reduced. Analogical reasoning allows for the understanding of one situation in terms of a more familiar situation. APPLICATIONS OF VISUAL AIDS IN FINANCIAL REPORTING COURSES This section discusses two visual aids used in two financial reporting courses. Both courses cover inter-corporate investments. One course is taught at the undergraduate level, the other at the graduate level. The two visual aids are not heavily dependent on the use of technology since both can be presented with overheads or on blackboards with multi-colored chalk. They could also be incorporated into power-point presentations, problem based learning exercises, computer-assisted learning programs and other learning instruments. For a review of the use of technology in accounting education, readers are referred to Bryan and Hunton (2000). The first visual aid is used when non-controlling interest is first introduced in the study of inter-corporate investment accounting. In the absence of goodwill valuation issues, standard setters have three viable choices for dealing with non-controlling interests: the proprietary method, the parent company method and the entity method. The proprietary method (also known as proportionate consolidation) has been used for joint ventures. The parent company method was the predominant method used in North America until its recent replacement by the entity method. The three methods move from including in the consolidated financial statements none of the share of assets belonging to the non-controlling interests under the proprietary method to all of the value of the assets belonging to the non-controlling interest under the equity method. Appendix 1 presents an example of the differences in these three methods using visual aids. Students are asked to imagine an 80% acquired subsidiary as a pie where the pie represents the entire value of the subsidiary. The subsidiary has one asset with a book value of $700 and a fair value of $1,000. The pie can be divided into the book value of the asset acquired and the fair value increment that represents the difference between fair value and book value. The pie is then further divided into the portion of book value and fair value increments owned by the majority shareholder and the non-controlling interest. The solution pie diagrams then show the progression of including more of the asset owned by the non-controlling interests as the solution pie diagrams move from the proprietary method to the entity method. The pie charts support all of the four characteristics suggested by Baker, Jones and Burkman (2009). The pie charts support the four visual characteristics as follows. Association is 2 Baker, Jones and Burkman (2009), p. 3. supported since the visual aids are all pie charts, are divided into book value and fair value and have common colors. Differentiation and ordered perception are supported by adding more of the non-controlling interests’ share of the net assets as the solution diagrams progress from the proprietary method to the entity method. Quantitative perception occurs by virtue of majority interest being exactly four times the size of the non-controlling interest in all diagrams. Gestalt properties exist since students should see a pattern of gradually including more of the noncontrolling interests’ share of the net assets. Some consistency with stored knowledge should exist as students are asked to review the textbook chapter that covers the three methods. The diagrams also support analogical reasoning as students are likely to see dividing a pie as a familiar task since students may divide pizzas, pies, cakes, etc. at family gatherings and other social events. The second visual aid is used whenever consolidation problems are taken up in class. Solutions to consolidation problems use data from the parent and subsidiary financial statements and from calculations of fair value increments and inter-company transactions. Some of the calculations are complicated; however, they tend to follow familiar patterns. Templates can be developed and used for most calculations. The following color codes were used consistently throughout the course: Data Source Color Coding Parent financial statements as at the date of acquisition. Not color coded to reinforce that this information is not used in subsequent calculations. Subsidiary financial statements as at the date of Color coded in teal. acquisition. Subsidiary fair values as at the date of acquisition. Color coded in dark red. Fair value increments Color coded in grey. Parent financial statements as at the date of consolidation. Color coded in bright green. Subsidiary financial statements as at the date of Color coded in bright red. consolidation. Downstream transactions Color coded in turquoise. Upstream transactions Color coded in pink. When analyzing solutions, students often have a difficult time seeing where the numbers used in preparing solutions came from. During the course of taking up problems, students ask many questions, for example “Where is the 2,000 adjustment to amortization expense coming from?” By color coding the solution, it is the perception of the instructor that students are able to quickly determine the components of the consolidated amounts. This has several effects from the perspective of the developing instructor. First, the number of questions asked during problem take-up is reduced because students are able to quickly see the source of the consolidated amounts and do not have to ask. This reduces the amount of classroom time required to cover a particular question. Second, students begin to see common patterns in questions and solutions. For example, most consolidated balance sheet amounts involve adding the parent company amount and the subsidiary amounts together and then adjusting for fair value increments and inter-company transactions. The use of color coding as a learning aid for consolidation problems is consistent with several aspects of cognitive fit theory. Association is supported since the same color coding was used throughout the course. This allows students to see, for example, that most balance sheet accounts involve adding the parent and subsidiary amounts, then adjusting for any remaining fair value increments or intercompany transactions as at the consolidation date. Differentiation is supported since students are reminded that the amounts and direction (add or subtract) of fair value increments and intercompany transactions varies from problem to problem. Gestalt properties are increased through the use of color coding throughout the course. The number of colors is increased as the course progresses. In early examples, consolidations are performed as of the acquisition date and there are no intercompany transactions. As a result, only the first three colors are used. When the course progresses to performing consolidations subsequent to the acquisition date, two more colors are introduced. Finally, when intercompany transactions are introduced, the last two colors are added to the problems. This allows students to retain common reference points and to build on their existing knowledge. Inter-corporate investments are an ideal topic to employ color coding because a well structured inter-corporate course builds on students knowledge from the previous topic they studied. The use of a common color coding system throughout the course reduces cognitive costs since students are able to see common patterns with previous problems and the impact of the new topic being introduced. For example, prior to the introduction of intercompany transactions, consolidated asset values at time t are calculated as follows. Asset Valuet = Parent Book Valuet + Subsidiary Book Valuet +/- Fair Value Incrementt After inter-company transactions are introduced, consolidated asset values at time t are calculated as follows: Asset Valuet = Parent Book Valuet + Subsidiary Book Valuet +/- Fair Value Incrementt + Upstream Intercompany Profitst +/- Downstream Intercompany Profitst STUDENT EVALUATIONS AND FEEDBACK The following table summarizes student evaluations. Students are asked to evaluate the instructor overall and the course overall with 5 being excellent and 1 being poor. Year Term Spring 2006/07 07 Fall 07 2007/08 Fall 07 Spring 08 Fall 08 2008/09 Spring 09 Fall 09 2009/10 Fall 09 Winter 09 Fall 10 010/11 Fall 10 Graduate or Undergraduate Undergraduate Undergraduate Graduate Undergraduate Graduate Undergraduate Undergraduate Graduate Graduate Graduate Undergraduate Instructor Enrolment Overall 86 81 9 87 8 86 132 9 8 15 138 4.39 4.45 5.00 4.65 4.71 4.19 4.52 4.87 4.75 4.93 4.58 Course Overall 4.00 3.98 4.60 4.15 4.71 3.84 4.25 4.62 4.87 4.31 4.79 The pie chart diagrams were introduced in 2007/08 and the color coded consolidation solutions were first used in 2009/10. Improved course evaluations provide some evidence that students found the visual aids to be helpful. The instructor has taught consolidations for over ten years, so the improvement is unlikely to be due to improved instructor technical knowledge. One potential confounding factor in interpreting these results was that during 2007-2009, students in the course were expected to be able to complete all calculations for exam purposes using both the parent company and entity method since accounting standards for inter-corporate investments were in transition. Starting in 2009, students were instructed for exam purposes to concentrate on the entity method as it became clear that this method would be GAAP in Canada for the foreseeable future. So part of the increase in student satisfaction may be due to decreased workload. In addition to a quantitative evaluation, students are invited to submit comments to the instructor. The written comments received included many favorable comments on the use of the two visual aids presented in this paper. For brevity, these comments are not reproduced in this paper. The thrust of these comments was that the visual aids were helpful to them in understanding the course material. In addition, the comments suggested that the visual aids resulted in greater long-term memory with respect to the course material. CONCLUSIONS AND IMPLICATIONS FOR LEARNING The two visual aids illustrated in this paper are used in an accounting class that focused on long-term investments. The favorable feedback from students suggests that visual aids such as pie chart diagrams and color coding may be helpful in other accounting courses. For example, pie chart diagrams may be helpful when teaching pension accounting, with pies of potentially different sizes representing pension plan assets and projected benefit obligations. The pension plan assets pie could be divided into cash, debt and equity instruments. The projected benefit obligations pie could be divided into current employees and retired employees with key assumptions listed within the pie to reinforce their importance. Color coding may be helpful in introductory courses to separate transactional journal entries, adjusting journal entries and closing journal entries. I have also used color coding in foreign currency transaction accounting. Different colors are used for transactions that are denominated in foreign versus domestic currency. Auditing courses could use different colors to denote differing types of auditing procedures (confirmation, analytical procedures, inspection, tests of controls, etc.). Instructors are encouraged to use their imagination and employ visual aids when establishing a visual pattern is likely to help students understand a process or when complex materials are being covered. The paper describes two visual aids and discusses how the visual aids are compatible with Baker, Jones and Burkman’s (2009) cognitive fit model for visual aids. Course evaluations and other student feedback suggest that the visual aids helped students learn. Appendix 1 Pie Chart Example 80% of a company is acquired for $800k. The company has one asset with a book value of $700k and a fair value of $1,000k. Breakdown of Value Between Majority and Non-‐controlling Parent BV=560 60 140 240 Minority BV=240 Parent FVI=140 560 Minority FVI=60 Proprietary Method (Proportionate consolidation) Reported Assets = 800 Reported Parent BV=560 60 140 240 560 Reported Minority BV=240 Reported Non-‐ Controlling Interest = 0 Parent BV=560 60 140 240 Minority BV=240 560 Parent FVI=140 Minority FVI=60 Reported Net Assets = (560+240)-0=800 Appendix 1 (continued) Pie Chart Example Parent Company Method Reported Assets = 940 Reported Parent BV=560 60 140 560 240 Reported Minority BV=240 Reported Non-‐ Controlling Interest = 140 Parent BV=560 60 140 Minority BV=240 560 240 Parent FVI=140 Minority FVI=60 Reported Net Assets = (560+240+140)-140=800 Entity Method Reported Assets = 1000 Reported Parent BV=560 60 140 240 560 Reported Minority BV=240 Reported Non-‐ Controlling Interest = 200 Parent BV=560 60 140 240 Minority BV=240 560 Parent FVI=140 Minority FVI=60 Reported Net Assets = (560+240+140+60)-(140+60)=800 Appendix 2 Example Color Coded Consolidation Problem Parent Company acquired 70% of the common shares of Sub Ltd. on July 1, 2008 for cash consideration of $117,000. The balance sheet of Parent Ltd. and Sub Ltd. and the fair value of Sub’s tangible assets and liabilities as at July 1, 2008 were as follows: Sub Parent Sub FV-July.1 Cash $ 140,000 $ 30,000 $ 30,000 Accounts Receivable 40,000 75,000 70,000 Inventory 80,000 35,000 40,000 Equipment 120,000 40,000 50,000 Patents 20,000 20,000 30,000 $ 400,000 $ 200,000 225,000 Accounts payable $ 40,000 40,000 40,000 Bonds payable 100,000 60,000 70,000 Common stock 140,000 30,000 Preferred stock 50,000 Retained earnings 120,000 20,000 $ 400,000 $ 200,000 The financial statements of the two companies for the year ended December 31, 2011 are as follows: Parent Sub Cash $ 63,000 $ 40,000 Accounts receivable 60,000 60,000 Inventory 150,000 150,000 Equipment 100,000 70,000 Patents 10,000 18,000 Investment in Sub 117,000 $ 500,000 $ 338,000 Accounts payable 140,000 128,000 Bonds payable 80,000 60,000 Common stock 140,000 30,000 Preferred stock 50,000 Retained earnings 140,000 70,000 $ 500,000 $ 338,000 Appendix 2 (continued) Example Color Coded Consolidation Problem Parent $ 800,000 Sub $ 700,000 500,000 300,000 550,000 150,000 11,000 15,000 8,000 10,000 196,000 240,000 8,000 35,000 6,000 81,000 130,000 60,000 20,000 Retained earnings, beginning of year 120,000 50,000 Dividends (40,000) - Sales Cost of Sales Gross profit Expenses: Amortization (equipment, patents) Bad debts Interest on long term debt Loss on sale of equipment Other expenses including taxes Net income for the year Retained earnings, end of year $ 140,000 $ 70,000 Appendix 2 (continued) Example Color Coded Consolidation Problem Additional information: 1. Both Parent Ltd. and Sub Ltd. amortize patents and equipment on a straight line basis over five years. As of July 1, 2008 any patents and equipment of Sub Ltd had a five year remaining useful life. Bonds mature on July 1, 2028. 2. Parent Ltd. accounts for its investment in Sub Ltd. using the cost method. 3. Income tax expense is included in other expenses. Both Parent and Sub pay taxes at a rate of 40%. 4. Pre-tax intercompany sales and transactions during the year 2010 and 2011 are as follows: 2010 Parent selling inventory Sub selling inventory Sub selling equipment, gain recorded Parent selling patent, loss recorded $ 400,000 300,000 20,000 - 2011 $ 500,000 400,000 (10,000) As at December 31, 2010, 50% of the intercompany inventory sales during 2010 remained in inventory. The average cost of sales on intercompany sales was 60% of the selling price. As at December 31, 2011, 60% of the intercompany inventory sales during 2011 remained in inventory. The average cost of sales on intercompany sales was 60% of the selling price. Both the equipment and patent sales occurred on December 31. At the time of their sale, both items had a four year remaining life. The loss on the patent sale is included in other expenses. 5. Preferred shares are cumulative and pay an annual dividend of 10%. As at July 1, 2008 and December 31, 1999 there were no dividends in arrears. No dividends were paid on these preferred shares during 2010 and 2011. 6. Goodwill write-downs are as follows: 2010 $37,500 2011 $15,000 Appendix 2 (continued) Example Color Coded Consolidation Problem Solution Purchase price Divide by 117,000 /70% 167,143 Book value acquired Common stock Retained earnings 30,000 20,000 (50,000) Purchase discrepancy Receivables Inventory Equipment Patents Bonds 117,143 BV 75,000dr 35,000 dr 40,000 dr 20,000 dr 60,000 cr FV 70,000dr 40,000 dr 50,000 dr 30,000 dr 70,000 cr FVI 5,000 cr (5,000) dr (10,000) dr (10,000) dr 10,000 cr (10,000) Goodwill $107,143 Purchase discrepancy amortization: Receivables Inventory Equipment Bonds Patents Goodwill Acquisition (5,000) 5,000 10,000 (10,000) 10,000 107,143 117,143 98-2010 (5,000) 2011 5,000 5,000 (1,250) 5,000 37,500 46,250 Ending - 2,000 (500) 2,000 15,000 18,500 3,000 (8,250) 3,000 54,643 52,393 Appendix 2 (continued) Example Color Coded Consolidation Problem Intercompany Transactions to Eliminate: Intercompany sales -Parent -Sub $500,000 400,000 $900,000 Gross Tax After- 80,000 60,000 140,000 32,000 24,000 56,000 48,000 36,000 84,000 120,000 96,000 216,000 48,000 38,400 86,400 72,000 57,600 20,000 5,000 15,000 8,000 2,000 6,000 12,000 3,000 9,000 (4,000) (6,000) - tax Inventory profits (opening): Parent (400,000 x 50% x 40%) Sub (300,000 x 50% x 40%) Inventory profits (closing): Parent (500,000 x 60% x 40%) Sub (400,000 x 60% x 40%) Balance, Dec.31, 2011 129,600 Equipment sale: Gain recognized in 2010 Realized in 2010 (none since Dec.31 sale) Realized in 2011 (20,000/4 years) Balance, Dec.31, 2011 Patent sale: Loss recognized in 2011 Amortized in 2011 (none since Dec.31 sale) Balance, Dec.31, 2011 (6,000) (10,000) (10,000) (4,000) Appendix 2 (continued) Example Color Coded Consolidation Problem Consolidated Income Entity Method Income of Parent Unrealized profits (net of tax): -patent -opening inventory -ending inventory Realized Income of parent Share of Sub income Income of Sub Less: Preferred share of income (50,000 x 10%) Common share income Amortization of FV Increments Unrealized profits (net of tax) -equipment -opening inventory -closing inventory Adjusted Sub common share income Percentage Controlling shareholder income 60,000 6,000 48,000 (72,000) 42,000 20,000 (5,000) 15,000 (18,500) 3,000 36,000 (57,600) (22,100) X 70% (15,470) $26,530 Appendix 2 (continued) Example Color Coded Consolidation Problem Statement of Income: Sales (800,000 + 700,000 - 500,000-400,000) Cost of Sales (500,000 + 550,000 - 500,000 -400,000 -80,000-60,000 + 120,000+96,000) Gross profit Expenses: Amortization (11000 + 8000 + 2000 + 2000 -5000) Goodwill writedown Bad debts (15,000 + 35,000) Interest on long term debt (8,000 + 6,000 -500) Loss on sale of equipment (10,000-10,000) Other expenses (196,000 + 81,000+32,000+24,000 - 48,000-38,400+ 4,000+2000) Consolidated income Non-controlling interest (-22,100 x 30% + 5,000) Net income of controlling interests Retained earnings, beginning of year Dividends Retained earnings, end of year $ 600,000 226,000 374,000 18,000 15,000 50,000 13,500 0 252,600 349,100 24,900 1,630 26,530 23,525 (40,000) $ 10,055 Appendix 2 (continued) Example Color Coded Consolidation Problem Opening and Ending retained earnings (equity method) Opening retained earnings, cost method Less: Unrealized downstream profits - inventory Equity pickup: Retained earnings, Jan.1, 2011 50,000 Less: Dividends in arrears (5,000) Retained earnings, acquisition date Increase Purchase discrepancy amortization Unrealized upstream profits: Inventory Equipment Retained earnings, Jan1, 2011, equity method Net Income for the year (see above) Dividends Retained earnings (deficit), Dec 31, 2011 120,000 (48,000) 45,000 (20,000) 25,000 (46,250) (36,000) (12,000) (69,250) x 70% (48,475) 23,525 26,530 (40,000) 10,055 Ending retained earnings (equity method) Ending retained earnings, cost method Less: Unrealized downstream profits - inventory Add: Unrealized loss - patent Equity pickup: Retained earnings, Dec.31, 2011 70,000 Less: Dividends in arrears (10,000) Retained earnings, acquisition date Increase Purchase discrepancy amortization (46,250+18,500) Unrealized upstream profits: Inventory Equipment Retained earnings (deficit), Dec.31, 2011, equity method 140,000 (72,000) 6,000 60,000 (20,000) 40,000 (64,750) (57,600) (9,000) (91,350) x 70% (63,945) 10,055 Appendix 2 (continued) Example Color Coded Consolidation Problem Noncontrolling interest: Share capital 80,000 Retained earnings 70,000 Preferred dividends in arrears Unrealized upstream profits Equipment (9,000) Inventory (57,600) Balance 83,400 Fair value increments balance Revised balance Noncontrolling percentage Preferred 50,000 Common 30,000 70,000 10,000 (10,000) (9,000) (57,600) 60,000 23,400 60,000 x100% 60,000 52,393 75,793 x 30% 22,738 82,738 Balance Sheet: Cash (63,000 + 40,000) Accounts receivable (60,000 + 60,000) Inventory (150,000 + 150,000 – 120,000-96,000) Equipment (100,000 + 70,000 + 3,000 - 15,000) Patents (10,000 + 18,000 +3,000 +10,000) Deferred taxes (48,000+38,400+6,000-4,000) Goodwill Accounts payable (140,000 + 128,000) Bonds payable (80,000 + 60,000 + 8250) Non-controlling interest in equity (see above) Common stock Retained earnings (see above) Total $ 103,000 120,000 84,000 158,000 41,000 88,400 54,643 $ 649,043 268,000 148,250 82,738 140,000 10,055 $ 649,043 - References Baker, J., Donald, R, and Burkman, D. 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Cognitive Theory, Hillsdale, NJ: Erlbaum. Kinder, James (1942). Visual Aids in Education. Review of Educational Research. Kozma, R., Belle, L. and Williams, G. (1978). Instructional Techniques in Higher Education. Educational Technology Publications Inc., Englewood Cliffs, NJ. Siegel, P. H., Omer, K. and Agrawal, S.P (1997). Video Simulation of an Audit: An Experiment in Experiential Learning Theory. Accounting Education 6 (3): 217-230. Figure 1 Summary of Baker, Jones and Burkman (2009) Cognitive Fit Model for Visual Aids Supports four human visual approaches: association, differentiation, ordered perception and quantitative perception Contain strong Gestalt properties Consistent with viewers stored knowledge Supports analogical reasoning Improved sense-‐making in data exploration tasks and other tasks involving complex data
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