Unpacking the revised Bloom’s taxonomy: developing case-based learning activities

Purpose The purpose of this paper is to propose the use of case studies in teaching an undergraduate course of Internet for Business in class, based on the revised Bloom’s taxonomy. The study provides the empirical evidence about the effect of case-based teaching method integrated the revised Bloom’s taxonomy on students’ incremental learning, measured by the four constructs: knowledge application, higher-order thinking, practice evaluation knowledge and knowledge improvement. Design/methodology/approach In this study, learning activities associated with the revised taxonomy-based learning strategy were proposed to support the development of higher-level cognitive skills. Revised application scale, higher-order thinking scale, practice evaluation knowledge scale and knowledge improvement scale were used to measure students’ perception of skills corresponding to their level of application, analysis, evaluation and creation, respectively. After completing each task pertinent to case studies, students were encouraged to complete the survey questionnaire. Structural equation modelling (SEM) was employed to examine the relationships between constructs. Students participate in a course where case studies are employed as the main learning activities to promote higher-order thinking. Upon completing the course, they fill in a survey to evaluate the four constructs of incremental learning: level of knowledge application, higher-order thinking, practice evaluation knowledge and knowledge improvement. The relationships between the four constructs are then examined using SEM. Findings Analysis reveals that with the use of case-based learning activities, knowledge application creates a positive impact on higher-order thinking. Higher-order thinking has positive influence on practice evaluation knowledge. Eventually, practice evaluation knowledge produces a positive effect on knowledge improvement. The results show the desired effects of incremental learning. Research limitations/implications The case studies designed for teaching the Internet for Business course might not be suitable in terms of content for other courses, which limit the implication of the findings. Practical implications The key implication is that cognitive process is enhanced by using case studies where learning activities are designed, based on the revised Bloom’s taxonomy. Originality/value The paper offers a comprehensive perspective on incremental learning where students’ knowledge of Internet for Business moves developmentally towards the higher-order cognitive process dimension of the revised Bloom’s taxonomy.

[1]  D. Krathwohl A Revision of Bloom's Taxonomy: An Overview , 2002 .

[2]  Marco Wolf,et al.  Structural Equation Modeling: A Practical Introduction , 2013 .

[3]  Jan-Arjen Mondria,et al.  The effects of contextual richness on the guessability and the retention of words in a foreign language , 1991 .

[4]  Aman Yadav,et al.  Case‐based instruction: Improving students' conceptual understanding through cases in a mechanical engineering course , 2014 .

[5]  T. Gill The complexity and the case method , 2014 .

[6]  Abdelhamid Bouchachia,et al.  An evolving classification cascade with self-learning , 2010, Evol. Syst..

[7]  Janet G. Hamilton,et al.  Experiential Learning: A Course Design Process for Critical Thinking. , 2011 .

[8]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[9]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[10]  Mariko Morimoto,et al.  Stay Away From Me , 2012 .

[11]  Raymond J. Mooney,et al.  Theory Refinement Combining Analytical and Empirical Methods , 1994, Artif. Intell..

[12]  C. E. Hmelo,et al.  The Problem-Based Learning Tutorial: Cultivating Higher Order Thinking Skills , 1997 .

[13]  V. Jideani,et al.  Alignment of Assessment Objectives with Instructional Objectives Using Revised Bloom's Taxonomy—The Case for Food Science and Technology Education , 2012 .

[14]  Benjamin S. Bloom,et al.  A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives , 2000 .

[15]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[16]  A. Persky,et al.  An Exploratory Analysis of Personality, Attitudes, and Study Skills on the Learning Curve within a Team-based Learning Environment , 2015, American Journal of Pharmaceutical Education.

[17]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory: , 1982 .

[18]  M. Brent Donnellan,et al.  How Should the Internal Structure of Personality Inventories Be Evaluated? , 2010, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[19]  Nada Dabbagh,et al.  Case problems for problem-based pedagogical approaches: A comparative analysis , 2013, Comput. Educ..

[20]  Janet G. Hamilton,et al.  Structured Case Analysis: Developing Critical Thinking Skills in a Marketing Case Course , 2007 .

[21]  Richard B. Dull,et al.  A Framework for the Pedagogy of Accounting Ethics , 2013 .

[22]  Wendell Hanna The New Bloom's Taxonomy: Implications for Music Education , 2007 .

[23]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[24]  H. Mandl,et al.  Inert knowledge: Analyses and remedies , 1996 .

[25]  Christophe G. Giraud-Carrier,et al.  A Note on the Utility of Incremental Learning , 2000, AI Commun..

[26]  Hassan Soleimani,et al.  An Evaluation of TEFL Postgraduates' Testing Classroom Activities and Assignments Based on Bloom's Revised Taxonomy , 2016 .

[27]  M. Tavakol,et al.  Making sense of Cronbach's alpha , 2011, International journal of medical education.

[28]  Randa L. Shehab,et al.  Educational Apps: Using Mobile Applications to Enhance Student Learning of Statistical Concepts , 2014 .

[29]  Matthias Rädle,et al.  Incremental Learning with SVM for Multimodal Classification of Prostatic Adenocarcinoma , 2014, PloS one.

[30]  C. Fornell A Second generation of multivariate analysis : classification of methods and implications for marketing research , 1985 .

[31]  Robert L. Braun,et al.  Developing Learning Objectives for Accounting Ethics Using Bloom's Taxonomy , 2013 .

[32]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[33]  A RathyG. Effectiveness of the Power Electronics Curriculum of B. E. Degree Programme using Blooms Revised Taxonomy , 2013 .

[34]  Kathryn A. Marley Eye on the Gemba: Using Student-Created Videos and the Revised Bloom's Taxonomy to Teach Lean Management , 2014 .

[35]  S. Campbell,et al.  Evaluation of a case-based urology learning program. , 2013, Urology.

[36]  J. Warwick Academic Libraries as a Context for Teaching Mathematical Modeling , 2008 .

[37]  Claude Sammut,et al.  LEARNING CONCEPTS BY ASKING QUESTIONS , 1998 .

[38]  James H. Steiger,et al.  Understanding the limitations of global fit assessment in structural equation modeling , 2007 .

[39]  L. Baker,et al.  ASSESSING STUDENT PERCEPTION OF PRACTICE EVALUATION KNOWLEDGE IN INTRODUCTORY RESEARCH METHODS , 2011 .

[40]  Theodore W. Frick,et al.  New Measures for Course Evaluation in Higher Education and their Relationships with Student Learning , 2010 .

[41]  J. Hair Multivariate data analysis , 1972 .

[42]  B. Miri,et al.  Purposely Teaching for the Promotion of Higher-order Thinking Skills: A Case of Critical Thinking , 2007 .

[43]  Sheng-Chin Yu,et al.  journal homepage: www.elsevier.com/locate/compedu , 2022 .

[44]  Ann T. Greer,et al.  Case-based learning facilitates critical thinking in undergraduate nutrition education: students describe the big picture. , 2015, Journal of the Academy of Nutrition and Dietetics.

[45]  Kristin L. Wood,et al.  Reverse Engineering and Redesign: Courses to Incrementally and Systematically Teach Design , 2001 .

[46]  Collaborative Learning Utilizing Case-Based Problems. , 2014 .

[47]  D. C. Smith,et al.  Defining higher order thinking , 1993 .

[48]  Alen D. Shapiro,et al.  Structured induction in expert systems , 1987 .

[49]  P. Barrett Structural equation modelling : Adjudging model fit , 2007 .

[50]  Anil K. Aggarwal,et al.  Using Continuous Improvement to Enhance an Online Course , 2012 .

[51]  D. Halpern Thought and Knowledge: An Introduction to Critical Thinking , 1995 .

[52]  Gregg L. Fiegel Incorporating learning outcomes into an introductory geotechnical engineering course , 2013 .

[53]  Robert D. Tennyson,et al.  Problem-oriented simulations to develop and improve higher-order thinking strategies , 1987 .

[54]  R. Paul,et al.  Critical Thinking: What Every Person Needs To Survive in a Changing World , 1991 .

[55]  Abdelhamid Bouchachia,et al.  Incremental learning with multi-level adaptation , 2011, Neurocomputing.

[56]  R. Moreno,et al.  Cognitive Load Theory: Cognitive Load Theory: Historical Development and Relation to Other Theories , 2010 .

[57]  Maurice Grzeda,et al.  Reflection in Strategic Management Education , 2015 .

[58]  Benjamin S. Bloom,et al.  Taxonomy of Educational Objectives: The Classification of Educational Goals. , 1957 .

[59]  George D. Kuh,et al.  Student Engagement and Student Learning: Testing the Linkages* , 2006 .

[60]  Lynnette Noblitt,et al.  A Comparison of Case Study and Traditional Teaching Methods for Improvement of Oral Communication and Critical-Thinking Skills , 2010 .

[61]  A. Gokhale Collaborative Learning Enhances Critical Thinking , 1995 .

[62]  J. H. Hulstijn,et al.  Retention of inferred and given word meanings: experiments in incidental learning , 1992 .

[63]  John T. Gullahorn,et al.  Teaching by the Case Method , 1959, The School Review.

[64]  Chris North,et al.  Augmenting the educational curriculum with the Visual Analytics Science and Technology Challenge: Opportunities and pitfalls , 2014, Inf. Vis..