DEVELOPMENT OF A PROTOTYPE INVENTORY FOR EVALUATION OF EDUCATIONAL SOFTWARE FROM ETHICAL, SOCIAL AND CULTURAL DIMENSIONS Hasan TINMAZ hasan_tinmaz@hotmail.com ABSTRACT Evaluation of educational software is still an essential concern of most academicians and practitioners. However, another concern about the relation between end-users of software and technology has been neglected; ethical, social and cultural dimensions of educational software. The study is a preliminary attempt to scrutinize these issues. Data were gathered in two must courses of “Computer Education and Instructional Technology (CEIT)” department; “Instructional Technology and Material Development” and “Instructional Material Preparation”. The study has been conducted in two steps. In step one, 22 third grade CEIT preservice teachers were asked to write their statements that they believed to measure ethical, social and cultural dimensions of assessing educational software. Afterwards, researcher combined similar sentences and restated them as items of an inventory. Subsequent to this first prototype, in the second step, second (N=46) and third (N=22) grade CEIT preservice teachers were asked to state their ideas on each item. Last inventory included forty-nine items. Keywords: Ethical, Social and Cultural Perspectives of Software, Educational Software Evaluation, Inventory Development. INTRODUCTION or age. In that sense offering well-qualified educational software is very crucial duty of teachers, families and etc… To serve evaluation purposes, different inventories and questionnaires, different evaluation methods and techniques concerning different aspects of educational software have been developed. Nonetheless, it seems that still one more concern about the relation between end-users of software and technology has been neglected; ethical, social and cultural dimensions of educational software. Assessment and evaluation are two concepts dominantly placed in instructional environment. On the other hand, Hoise, Schibeci and Backhaus (2005) noted that there is no consensus about what this evaluation should cover and how it could be done. They also notify that if there is any type of “information and communication technology” in instructional framework, the concept of “evaluation” always sounds by people. Technological improvements have inevitably influenced the every aspects of our daily life. Our educational systems (Lin & Dwyer, 2005), shopping habits, communication tools (and ways) and so forth have been altering due to the penetration of technology into our lives (Deuze, 2006). On the other hand, the pace of human’s adaptation to those changes is not as rapid as technological innovations themselves. Our modern life comprises a relatively constant people factor and a relatively variant technology issue. Nowadays, the concept of “technology” is directly linked to computer technologies where from early childhood to late adulthood, we frequently interact. In that perspective, all issues related to “people and technology interaction” are worthwhile for us to be scrutinized. One of these issues is the utilization of software for instructional purposes. Noticeably, “technology-basededucation” phenomena increased the importance of educational software use. However, the design and development of such software is not straightforward to manage. Historically, at the beginning of designing such educational software, developers resembled people as the “machines” and believed that the way people learn is just passing through some predefined steps. Yet, as these software utilized in original settings, developers realized that they ignored the personal and social characteristics of human in the design and development processes. Afterwards, scholars, researchers and developers have investigated this process more complicatedly and the different aspects of educational software have been evaluated such as “curriculum adequacy”, “visual design”, “utilized technology” and so forth. Subsequent to the analyses of educational software with respect to those distinct properties, several guidelines about educational software have been created. Now, there is a wellestablished sector of designing software for instructional aims and the sector still deals with question of “how best to manage the process” (Krishna, Sahay & Walsham, 2004, p.63). As Herring, Notar and Wilson (2005) expressed “the evaluation of educational software has become a critical information skill for teachers” (p.100). In their study for preparing an evaluation form for software, they listed several items under four major areas; (a) content, (b) student involvement, (c) ease of use, and (d) design (esthetic). They offer some statements for the appropriate, biased-free, and up-to-date content. As a suggestion, they offer adaptations for evaluative purposes of differentiated instructional context. After the five year research on software development for inter-cultural adaptation, Krishna, Sahay and Walsham (2004), concludes with a charming remark that creating software for different cultures is not an easy-going activity. They explain this issue by addressing some challenges such as adaptation to cultural norms, linguistics problems and so on. They also offer to produce culturally nonaligned software to handle these problems. Globalization, as reflected on each dimension of our lives, has affected the process of software development. On the other hand, globalization doesn’t have to mean that software should be culture-free (Krishna, Sahay & Walsham). Within this sector, there are several tracks implying the entire process like analysis, design, development, utilization and evaluation. The last step, evaluation of educational software is still an essential concern of most academicians and practitioners. Drew and Thorpe (2006) concluded in their study that the utilization of software or the attitude toward software are affected from how it is or how it is used in the classrooms, rather than from other factors like gender The purpose of this preliminary study is to trigger for developing such an inventory to assess ethical, social and cultural issues of educational software. Therefore, the results of study cannot be generalized to all settings and still need to spend time for improving. 485 METHOD Preparation) on designing, developing and evaluating instructional materials. Since the second step was conducted in the last week of the semesters, second grade preservice teachers were also assumed as knowledgeable in assessing educational materials including educational software. Participants The participants of study were the second grade (N=46) and the third grade preservice teachers of “Computer Education and Instructional Technology” (CEIT) Department (N=22) of Başkent University. This group is purposefully selected due to three reasons; (a) group is familiar with the evaluation of software, (b) group knows how to develop such software, and (c) group is computer preservice teachers that will interact both with technology and people. Data were gathered in two must courses of CEIT department; “Instructional Technology and Material Development” and “Instructional Material Preparation”. The content of these courses aim to furnish the preservice teachers with the knowledge, skills and abilities in regarding to utilization of different media in instructional settings including the educational software. For the entire sample, age average is 22 where there are 30 male and 38 female; the second grade, 19 male and 27 male, whereas the third grade, 11 male and 11 female. Findings and Discussions After data collection (N=68), initial statistical analyses were conducted on forty-nine items in the inventory. Mean scores (from highest to lowest) and standard deviations were calculated as in Table 1. The Cronbach alpha for the fortynine items is calculated as 0.88 which is a good reliability coefficient. However, since the number of participants is limited (N=68), further studies need to explain and re-test this reliability coefficient. Moreover, data set has problems with applying factor analysis. Basically, according to the results of Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy test (KMO=0.39), the distribution of values is not sufficient for conducting a factor analysis, since the value of KMO is less than 0.60 (George & Mallery, 2001). Design of the Study and Instrumentation The study has been conducted in two steps. In step one, 22 third grade CEIT preservice teachers were asked to write their statements that they believed to measure ethical, social and cultural dimensions of assessing educational software. Afterwards, researcher combined similar sentences and restated them as items of an inventory. Subsequent to creation of this first prototype, in the second step, second (N=46) and third (N=22) grade CEIT preservice teachers were asked to state their ideas on each item. For each item, they decided on a 5-scale Likert type from “very important” item to “very unimportant” items. The reason of including second grade preservice teachers is that they were attending their first course (Instructional Material 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. As revealed from Table 1, moral (e.g. appropriateness of pictures and animations) and discrimination (e.g. national, religious and gender) issues have evaluated as very important items. The relationships between the social and ethical values of a culture and the elements of software like characters, pictures, speeches and so forth are considered as the important items of the inventory. Local (country-wise) values have higher mean scores than global values which mean that preservice teachers want to observe first the representation of their own cultures issues and then the universal ones. The extreme ideas like representation of religious figures or nationalistic point of view have moderate mean scores. Table 1. The item descriptions, means and standard deviations Item Description Yazılımda kullanılan resimler ahlaki açıdan çocuklar için uygundur. Eğitim yazılımı, kullanıcı kitlesinin ahlaki gelişimini olumsuz yönde etkiliyor. Yazılımda ırk ayrımcılığı yapılmaktadır. Yazılımda din ayrımcılığı yapılmaktadır. Eğitim yazılımı ayrımcılık yapmadan konuyu kullanıcıya sunuyor. Eğitim yazılımının içeriği, kullanıcıları kötü alışkınlıklara (sigara, fast-food, vb…) özendirici öğeler içermiyor. Yazılım anlayabileceğim bir sadelikle hazırlanmış. Yazılım, hazırlanmış olan ülkenin inançlarına (sosyal, ahlaki, dini, vb…) ters düşmemektedir. Yazılım içerisinde verilen örnekler gerçek yaşama uygundur. Yazılım içerisinde kullanılan animasyonlarda öğrencinin zihninde canlandıramayacağı öğeler kullanılmamaktadır. Yazılım, öğrencinin zihnindeki bilgi yapılandırmasını kültürel anlamda zenginleştiriyor. Eğitim yazılımının fiyatı, toplumun genel alım gücüne uygundur. Yazılımın kullandığı örnekler günceldir. Yazılımda cinsel ayrımcılık yapılmaktadır. Yazılımın içeriği, içinde bulunduğu toplumun bütün sosyal kesimlerine hitap ediyor. Yazılım, bilmediğim ya da yabancısı olduğum öğeler içeriyor. Yazılım içindeki karakterler, kıyafet olarak ahlakımıza uymayacak şekilde giyiniyor. Yazılım içinde geçen karakterlerin isimleri kültürümüze ait değil. Yazılımın içeriği argo kelimeler içeriyor. Yazılımdaki karakterler, toplumumu doğru yansıtmaktadır. Yazılım içerisindeki resimler öğrencinin günlük hayatında karşılaşabileceği türdendir. Yazılım içinde kullanılan animasyonlar öğrencileri yabancı kültürlere özendiriyor. Yazılım içerisinde kullanılan örnekler, toplumsal statüler göz önünde bulundurularak hazırlanmıştır. Yazılım içerisinde kullanılan simgeler kültürümüze uygundur. Yazılımın içerisinde kullanıcının, sosyal değerlere uyum sağlamasına yardımcı öğeler bulunmaktadır. Yazılımda işlenen tema beni olumsuz etkiledi. Yazılım içinde kullanılan markalar yabancı ürünleri içeriyor. Yazılımda beni rahatsız eden unsurlar bulunmamaktadır. Yazılımda kullanılan görüntüler günlük yaşamdan alınmıştır. 486 M. 4,63 4,54 4,43 4,38 4,38 S.D. 0,57 0,84 1,07 1,07 0,85 4,28 1,10 4,24 4,24 4,22 0,99 1,14 0,69 4,22 0,93 4,21 4,19 4,19 4,12 4,10 4,07 4,07 4,06 4,04 4,03 4,03 3,99 3,99 3,94 3,94 3,91 3,91 3,87 3,84 0,66 0,94 0,85 1,26 0,92 1,01 1,07 1,05 1,04 0,79 1,01 1,28 0,87 0,99 0,88 1,19 1,24 1,22 0,91 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. Item Description Yazılım, aile yapımıza uyuyor. Yazılım içerisindeki kullanılan animasyonlar, halkın örf ve adetlerine uygundur. Yazılım içerisindeki animasyonlarda yer alan karakterler kültürümüze ait insan profilini yansıtmaktadır. Yazılım içinde kültürümüzde olmayan varlıklar bulunmaktadır. Yazılım evrensel değerlere göre hazırlanmıştır. Yazılım boyunca animasyonlarda toplum içindeki genel ahlak kuralları hakkında örneklemeler kullanılmıştır. Yazılım her türlü ekonomik düzeye hitap etmektedir. Yazılımın içeriği ülkemizin tarihi ile tutarlıdır. Yazılım içerisinde kullanılan seslendirmelerdeki şive kültürümüzle örtüşüyor. Yazılım diğer kültürlerden, örnekler ya da müzikler içermektedir. Yazılım boyunca animasyonlarda aile kavramı hakkında örneklemeler kullanılmıştır. Yazılım boyunca animasyonlarda toplum içinde nasıl hareket edileceği hakkında örneklemeler kullanılmıştır. Bu yazılımı aileme önerebilirim. Yazılımda kullanılan simgelerden hiçbiri dini sembol içermiyor. Yazılım içerisinde kullanılan animasyonlarda kullanılan karakterler halktan seçilmiştir. Yazılımda ülkemizde olmayan bir hayvan kullanılmıştır. Yazılım içerisinde kullanılacak olan video çekimleri mümkün olduğu kadar dışarıda yaşanılan mekânlarda çekilmelidir. Yazılımda ülkemizde olmayan bir bitki kullanılmıştır. Yazılım çok milliyetçi bir düşünceyle hazırlanmıştır. Yazılımda yer alan karakterlerden bazıları hep iyi insan olarak değerlendirilirken bazıları ise hep kötü insan rolündedir. The differences between genders (Table 2) and classes (Table 3) in relation to items were statistically checked by independent samples t-test for each item. M. 3,82 3,81 3,79 3,77 3,76 S.D. 0,98 1,11 1,00 1,19 1,12 3,75 0,92 3,66 3,60 3,59 3,52 3,50 1,30 1,11 1,30 1,13 0,97 3,46 1,09 3,44 3,41 3,37 3,25 1,19 1,25 1,23 1,14 3,21 1,14 3,15 3,12 1,20 1,26 3,01 1,22 FURTHER STUDIES AND LIMITATIONS The study is delimited to second and third grade CEIT preservice teachers. Nevertheless, the sample should be extended not only to other departments of education faculties but also to the utilization areas of such software. It is obvious that the inventory needs modifications and improvements. Thus, the ideas of teachers, parents, faculty members and software developers should also gathered in scientific ways. It is possible to design a qualitative study to learn why these items are important or unimportant from the points of stakeholders. Besides, by including enough number of people as sample, well-planned principal and confirmatory factor analyses should be conducted to have more ideas of underlying elements in this inventory. Table 2. The differences between items in relation to gender Item No Gender N M SD t p 30 Male 30 4.17 0.69 2.692 0.009 Female 38 3.55 1.08 13 Male 30 3.93 0.91 -2.249 0.029 Female 38 4.39 0.76 39 Male 30 3.20 1.12 -2.087 0.041 Female 38 3.76 1.08 For item 30, males found the item on family-appropriateness of software more important than females. For both item 13 and 39, females have higher mean scores than males that females perceived significant for up-to-date and multicultural examples items to be included in the inventory. REFERENCES Deuze, M. (2006). Participation, remediation, bricolage: considering principal components of a digital culture. The Information Society, 22, 63–75. Table 3. The differences between items in relation to classes Item No Class N M SD t p 11 Second 46 4.37 0.61 3.098 0.004 Third 22 3.86 0.63 34 Second 46 3.98 1.14 2.791 0.007 Third 22 3.27 0.88 44 Second 46 2.87 1.15 -2.611 0.011 Third 22 3.63 1.36 48 Second 46 3.11 1.30 -2.279 0.029 Third 22 3.91 0.86 Drew, S. & Thorpe, L. (2006). Factors affecting students’ usage and perceptions of a generic intranet learning resource: models of use. Innovations in Education and Teaching International, 43(4), 381– 396. George, D., & Mallery, P. (2001). SPSS for Windows step by step: A simple guide and reference 10.0 update (3rd ed.). Boston: Allyn and Bacon. Herring, D. F., Notar, C. E., & Wilson, J.D. (2005). Multimedia software evaluation form for teachers. Education, 126(1), 100-111. Even though there are statistical differences for four items (Table 3) in regarding to classes, it could be interpreted sensitively due the large numerical differences between compared groups (22 versus 46). For the items 11 and 34, second grades found more significant than third grades to include items about the cultural enrichment of students through software and the universality of software elements. For the items 44 and 48, third grades perceive more significant to contain items about cultural and nationalistic elements in software. Hoise, P., Schibeci, R., & Backhaus, A. (2005). A framework and checklists for evaluating online learning in higher education. Assessment & Evaluation in Higher Education, 30(5), 539-553. Krishna, S., Sahay, S., & Walsham, G. (2004). Managing cross-cultural issues in global software outsourcing. Communications of the ACM, 47 (4), 62-66. Lin, H. & Dwyer, F. (2005). The Fingertip effects of computer-based assessment in education. TechTrends, 50(6), 27-31. 487