@2024 Afarand., IRAN
ISSN: 2228-5468 Education Strategies in Medical Sciences 2014;7(1):63-68
ISSN: 2228-5468 Education Strategies in Medical Sciences 2014;7(1):63-68
Designing and Validation of Favorable Problem-Based Curriculum Pattern in E-Learning Universities; A Combinational Study
ARTICLE INFO
Article Type
Original ResearchAuthors
Barghi I. (* )Maleki H. (1 )
Abbaspur A. (1 )
Zareii Zavaraki E. (1 )
Seraji F. (2 )
(* ) Management & Educational Planning Department, Psychology & Educational Sciences Faculty, Allameh Tabatabaei University, Tehran, Iran
(1 ) Management & Educational Planning Department, Psychology & Educational Sciences Faculty, Allameh Tabatabaei University, Tehran, Iran
(2 ) Management & Educational Planning Department, Psychology & Educational Sciences Faculty, Bu- Ali Sina University, Hamedan, Iran
Correspondence
Address: No. 15, Sedaqat Alley, Iman 12 meter, Azadi Ave., Marand, IranPhone: +984912259619
Fax: +984923025252
isabarqi@yahoo.com
Article History
Received: July 26, 2013Accepted: November 9, 2013
ePublished: March 17, 2014
BRIEF TEXT
… [1-3]. Curriculum have to be strongly brought into consideration in E-learning system since producing and managing proper education content in E-learning is crucial [4]. Curriculum is one of the most important effective factors on educational systems [5], and they have to be changed according to new conditions, but no fundamental change in the universities’ curricula have been applied [6, 7]. E-learning needs new educational methods alongside new technologies. In this kind of education, the student as a responsible person for learning or as a consumer of the services plays the most important role [8]. … [9] In problem- based learning, the first stage is to determine the learning needs and the learning aims [10]; and there are some conducted researches on this issue, that show that problem- based learning and curriculum enhance the students’ understanding of matters and empowers them in formulating problems [11, 12]. Nowadays, problem- based approach is discussed as a training philosophy [6]. Two effective factors to plan the curriculum for virtual universities are capabilities of IT and learner-centered learning theories [13]. Due to the absence of measurements or tools, and unknown variables, or lack of theoretical or guiding theory, exploration, which is a qualitative research, will be useful [14, 15]. … [16] In addition, combined research method can fill gaps of the quantitative and qualitative method, as well as it can propose evidences about a problem which are more comprehensive [17]. The present research has been conducted in “model designing” and “the model validation”, in which the model was designed for E-learning centers, using quantitative and qualitative researches concerning problem-based curriculum.
Non-declared
The aim of the study was to design the desired model for problem-based curriculum for E-universities, and validation of this model.
Method of the study is combined exploratory-quantitative. Phenomenology qualitative method and theoretical analysis were used to design a model in order to obtain desired facts and information.
All the 117 faculty members of educational centers with E-courses, in Tehran city were studied during 2012-13.
First part: Model designing 18 informationists (experts) were selected, using purposive non-probability sampling method (snowball or chain kind); and they participated in interviews. Interviews with faculty members were continued up to saturation. Second part: Validation of the model Study Field (background-survey) was used to collect data.
In order to design the model, at first, semi-structured interview and the documents available in both inside and outside of Iran were used. Van Manen phenomenological approach [18] was employed to understand content of library texts, to assess the results of semi-structured interviews and content analysis, and obtained data from interviews were classified as open coding and axial coding, using content analysis. … [19-22] Then, a researcher-made questionnaire was used through Delphi method. Content validity of the questionnaire was confirmed by 3 experts; and its reliability was confirmed through Kronbach’s Alpha method, concerning “objective curriculum”, “content”, “tools and infrastructure”, “educator” , “learner”, “learning methods”, “space”, “time”, “structure and evaluation”, “space” , “foundations”, and “strategy” factors. Second part (model validation): In order to complete theoretical study, library study and web searching (searching books and papers) as well as Persian and non-Persian case studies were performed. In the survey part, experts’ viewpoints were applied to test and correct the model,, and determine the weight of each indicator. To ensure the coding validity, , categories constructed and named by the researcher and were revised through T test with Fuzzy and by MAXqda software. (Data reliability was confirmed.) Validity of the reconstruction of reality was used to determine validity of the results, and it was confirmed for accuracy and completeness. Fuzzy factor analysis, based on Fuzzy set theory, was applied to data analysis for the quantitative part. A two-stage model for analysis the factors and indices of problem- based curriculum in E-learning centers was designed at Matlab software and by Fuzzy inference system, field entailment method, and with triangular membership functions also. At the first stage, each of the twelve factors was assessed based on primary indices. For each of the twelve factor of the curriculum, one subsystem was used according to the rule 5^k (k is the number of indices), in order to assess each components of the twelve factors. Outputs of this stage were considered the inputs of the second stage. At the second stage, the problem- based curriculum produced from the twelve factors was inferred, according to 5^12 rule as the final index. These data were analyzed in the Maple software, SPSS, and MAXqda with Fuzzy T test, in order to confirm data validity.
First part (model designing) At the open coding, problem-based E-curriculum factors might be classified in 114 sub-categories and 12 axial categories including “aims”, “environment”, “tools and infrastructure”, “educator” , “learner”, “learning methods”, “space (environment)”, “time”, “foundations”, “structure”, “evaluation”, and “strategy”. Second part (model validation): All the provided indices in terms of importance were identified as Moderate to low by experts, except “the content should be noted as a system based on discovery, regulation, and combination of information” (from the “content” factor components ), “students’ interaction and cooperation on social and cultural context in the learning environment” (from the “learner” factor components of ), “an environment based on complex issues and topics” (from the “space” (environment) factor components), and “using the encouraging literatures in learning” (from the of “strategy” factor components); and the rest identified the related elements highly and very highly . The quantitative part confirmed the qualitative part results.
Non-declared
Using this approach, educational planners will provide reflection, meditation, and self-assessment for learners, and they enhance students’ competency for decision-making, as understanding the lived experiences of students empowers the effectiveness of every curriculum
Non-declared
The desired model for problem- based curriculum for E-learning centers of state universities in Tehran, is composed of twelve factors including “aims”, “environment”, “tools and infrastructure”, “educator” , “learner”, “learning methods”, “space (environment)”, “time”, “foundations”, “structure”, “evaluation”, and “strategy”. All the twelve factors in the problem- based curriculum are highly and very highly necessary in E-learning.
The researcher feels grateful to all the lecturers and managers of the E-learning centers, who aid him to conduct the research.
Non-declared
Consents were received from the participants, during interview performances.
The present paper is based on a Ph.D. thesis.
TABLES and CHARTS
Show attach fileCITIATION LINKS
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[9]Arefi M. Of curricula in higher education in the field of education and strategies for improvement (case study: major in educational management) [dissertation]. Tehran: Tarbiat Modarres University; 2004.
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[12]Azer SA. Problem-based learning in the fifth, sixth and seventh grades, assessment of student perception. Teaching Teach Educ. 2009;25(8):1033-42.
[13]Vernon DT, Blake RL. Does problem-based learning work? A meta-analysis of evaluative research. Acad Med. 1993;68(7):550-63.
[14]Copland MA. Problem-based leadership development: developing the cognitive and skill capacities of school leaders. In: Hallinger P. editor. Reshaping the landscape of school leadership development: A global perspective. London: Taylor and Francis; 2005.
[15]Serajy F, Attaran M, Naderi E, Ali Asgari M. Designe of a virtual university curriculum. J Curriculum Stud. 2007;5(issue):first page-final page.
[16]Creswell J, Clark C. A combination of research methods. Khamosh Sara'i JAR. (Translator). Tehran: Hooman; 2010.
[17]Jonson A, Mattheos N Svingby G, Attstrom R. Dynamic Assessment & the Interactive Examination. Educ Technol Soc. 2007;10(4):17-27.
[18]Carvalho GF, Kirch DP. A problem-based MBA curriculum: The Ohio University experience. Mid-Am J Bus. 1986;11(2):9-18.
[19]Hillen H, Scherpbier A, Wijnen W. History of problem-based learning in medical education. Lessons from problem-based learning. Oxford: Oxford University Press; 2010.
[20]Creswell J, Clearwater C. A combination of research methods. Family Name? Name? (Translator). Tehran: Publication?; 2011.
[21]Azar A, Faraji H. Fuzzy Management Science. Tehran: Mehraban Nashr; 2007.
[22]Barghi I. Application of Van Maanen’s phenomenology viewpoint in curriculum development studies. Instruct Strateg Q. 2010;4:137-41.
[2]Thurab-Nkhosi D, Marshall S. Quality management in course development and delivery at the University of the West Indies distance education centre. Qual Assur Educ. 2009;17(3):264-80.
[3]Tucker JP, Gentry GR. Developing an e-learning strategy in higher education. Foresight. 2009;11(2):43-9.
[4]Saadaty P, Yare T. Instruction the electoronic. Zanjan: Collection of Essays of E-Learning Congress; 2006.
[5]Barnett R, Coate K. Engaging the curriculum in higher education. New York: McGraw-Hill International; 2004.
[6]Fathi Vajargah K, Shafie N. Quality assessment program-University curriculum (curriculum for adult education). J Curriculum Stud. 2007;2(5):first page-final page.
[7]Arefi M. Of curricula in higher education in the field of education and strategies for improvement (case study: major in educational management) [dissertation]. Tehran: Tarbiat Modarres University; 2004.
[8]Arefi M. Of curricula in higher education in the field of education and strategies for improvement (case study: major in educational management) [dissertation]. Tehran: Tarbiat Modarres University; 2004.
[9]Arefi M. Of curricula in higher education in the field of education and strategies for improvement (case study: major in educational management) [dissertation]. Tehran: Tarbiat Modarres University; 2004.
[10]Banisi P, Karimi AA, Shahraki Poor H. Pedagogy of the new millennium. Tehran: Metacognitive Thinking Publications; 2005.
[11]Attaran M. Context of education reform. Tehran: Smart Schools Publications; 2004.
[12]Azer SA. Problem-based learning in the fifth, sixth and seventh grades, assessment of student perception. Teaching Teach Educ. 2009;25(8):1033-42.
[13]Vernon DT, Blake RL. Does problem-based learning work? A meta-analysis of evaluative research. Acad Med. 1993;68(7):550-63.
[14]Copland MA. Problem-based leadership development: developing the cognitive and skill capacities of school leaders. In: Hallinger P. editor. Reshaping the landscape of school leadership development: A global perspective. London: Taylor and Francis; 2005.
[15]Serajy F, Attaran M, Naderi E, Ali Asgari M. Designe of a virtual university curriculum. J Curriculum Stud. 2007;5(issue):first page-final page.
[16]Creswell J, Clark C. A combination of research methods. Khamosh Sara'i JAR. (Translator). Tehran: Hooman; 2010.
[17]Jonson A, Mattheos N Svingby G, Attstrom R. Dynamic Assessment & the Interactive Examination. Educ Technol Soc. 2007;10(4):17-27.
[18]Carvalho GF, Kirch DP. A problem-based MBA curriculum: The Ohio University experience. Mid-Am J Bus. 1986;11(2):9-18.
[19]Hillen H, Scherpbier A, Wijnen W. History of problem-based learning in medical education. Lessons from problem-based learning. Oxford: Oxford University Press; 2010.
[20]Creswell J, Clearwater C. A combination of research methods. Family Name? Name? (Translator). Tehran: Publication?; 2011.
[21]Azar A, Faraji H. Fuzzy Management Science. Tehran: Mehraban Nashr; 2007.
[22]Barghi I. Application of Van Maanen’s phenomenology viewpoint in curriculum development studies. Instruct Strateg Q. 2010;4:137-41.