Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education

Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education

The purpose of this study was to develop the relationship model between learningenvironment (physical and psychosocial environment), psychological characteristics (studentsacademic self-efficacy and satisfaction) and higher order thinking skills in statistics education.The study also aimed to determ...

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Main Author: Mohd Azry Abdul Malik
Format: thesis
Language:eng
Published: 2018
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QA Mathematics
Online Access:https://ir.upsi.edu.my/detailsg.php?det=6128
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institution Universiti Pendidikan Sultan Idris
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topic QA Mathematics
spellingShingle QA Mathematics
Mohd Azry Abdul Malik
Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education
description The purpose of this study was to develop the relationship model between learningenvironment (physical and psychosocial environment), psychological characteristics (studentsacademic self-efficacy and satisfaction) and higher order thinking skills in statistics education.The study also aimed to determine if psychological characteristics mediate the relationshipbetween learning environment and higher order thinking skills. A total of 285 studentswere selected as sample using cluster sampling. The study instruments were adapted from SmartClassroom Inventory, Science Laboratory Environment Inventory, College and ClassroomEnvironment Inventory, Test of Science-Related Attitudes, Self-Efficacy in Learning andPerformance for College and Dimension of Learning rubrics. The gathered data wereanalysed using Partial Least Square Structural Equation Modeling (PLS-SEM). The findingsrevealed that significant direct relationship existed between psychosocial learning environmentand higher order thinking skills (=.319, p=.000). The result also found that there is not enoughproof to support the relationship between physical learning environment and higher order thinkingskills (=.070, p=.148). Mediation effect of self-efficacy and satisfaction were found inthe relationship between learning environment (physical and psychosocial) and higherorder thinking skills (?=.160, p?=.000, ?=.225, p?=.000). Meanwhile, content knowledge(?=-.026, p?=.593, ?=-.021, p?=.585) and gender of respondents (?=.077, p?=.718, ?=.029,p?=.914) have no significant moderating effect on the relationship between exogenous andendogenous constructs. In conclusion, the relationship among learning environment, psychological characteristics and higher order thinking skills in statistics education were successfully modeled and represented as The Relationship Modelbetween Learning Environment, Psychological Characteristics and Higher Order Thinking Skillsin Statistics Education (LEPHs Model). LEPHs model provides significant and valuable contributionsto theoretical, methodological, educational practice and knowledge in the area of higherorder thinking research in the context of Malaysian Institution of Higher Learning. The implicationof this study suggests that the LEPHs model can be used to determine the quality of thelearning environment based on students' psychological characteristics and high level ofthinking skills in the teaching andlearning process for statistics education.
format thesis
qualification_name
qualification_level Doctorate
author Mohd Azry Abdul Malik
author_facet Mohd Azry Abdul Malik
author_sort Mohd Azry Abdul Malik
title Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education
title_short Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education
title_full Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education
title_fullStr Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education
title_full_unstemmed Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education
title_sort development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education
granting_institution Universiti Pendidikan Sultan Idris
granting_department Fakulti Sains dan Matematik
publishDate 2018
url https://ir.upsi.edu.my/detailsg.php?det=6128
_version_ 1747833243946713088
spelling oai:ir.upsi.edu.my:61282021-07-27 Development of relationship model between learning environment,psychological characteristics and higher order thinking skills in statistics education 2018 Mohd Azry Abdul Malik QA Mathematics The purpose of this study was to develop the relationship model between learningenvironment (physical and psychosocial environment), psychological characteristics (studentsacademic self-efficacy and satisfaction) and higher order thinking skills in statistics education.The study also aimed to determine if psychological characteristics mediate the relationshipbetween learning environment and higher order thinking skills. A total of 285 studentswere selected as sample using cluster sampling. The study instruments were adapted from SmartClassroom Inventory, Science Laboratory Environment Inventory, College and ClassroomEnvironment Inventory, Test of Science-Related Attitudes, Self-Efficacy in Learning andPerformance for College and Dimension of Learning rubrics. The gathered data wereanalysed using Partial Least Square Structural Equation Modeling (PLS-SEM). The findingsrevealed that significant direct relationship existed between psychosocial learning environmentand higher order thinking skills (=.319, p=.000). The result also found that there is not enoughproof to support the relationship between physical learning environment and higher order thinkingskills (=.070, p=.148). Mediation effect of self-efficacy and satisfaction were found inthe relationship between learning environment (physical and psychosocial) and higherorder thinking skills (?=.160, p?=.000, ?=.225, p?=.000). Meanwhile, content knowledge(?=-.026, p?=.593, ?=-.021, p?=.585) and gender of respondents (?=.077, p?=.718, ?=.029,p?=.914) have no significant moderating effect on the relationship between exogenous andendogenous constructs. In conclusion, the relationship among learning environment, psychological characteristics and higher order thinking skills in statistics education were successfully modeled and represented as The Relationship Modelbetween Learning Environment, Psychological Characteristics and Higher Order Thinking Skillsin Statistics Education (LEPHs Model). LEPHs model provides significant and valuable contributionsto theoretical, methodological, educational practice and knowledge in the area of higherorder thinking research in the context of Malaysian Institution of Higher Learning. The implicationof this study suggests that the LEPHs model can be used to determine the quality of thelearning environment based on students' psychological characteristics and high level ofthinking skills in the teaching andlearning process for statistics education. 2018 thesis https://ir.upsi.edu.my/detailsg.php?det=6128 https://ir.upsi.edu.my/detailsg.php?det=6128 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris Fakulti Sains dan Matematik Abdolreza L., Aida S.M.Y., Kamariah A.B., & Azadeh Z.K. (2016). Comparison of Learning Theoriesin Mathematics Teaching Methods. In Fourth 21st CAF Conference, 9 (1), Harvard, Boston,Massachusetts, USA.Aldridge, J.M., & Fraser, B.J. (2008). Outcomes-focused learning environments: Determinantsand effects. Sense Publishers.Alhaqwi, A.I., van der Molen, H.T., Schmidt, H.G., & Magzoub, M.E. (2010). Determinantsof effective clinical learning: a student and teacher perspective in Saudi Arabia. Education forHealth, 23(2), 369.Allen, I.E. & Seaman. J. (2007). Online Nation: Five Years of Growth in OnlineLearning. The Sloan Consortium, Needham, Mass.Al-Twaijry, A.A. (2010). Student academic performance in undergraduatemanagerial-accounting courses. Journal of Education for Business, 85(6), 311- 322.Ambrose, S.A., Bridges M.W., DiPietro M., Lovett M.C., & Norman M.K. (2010). Howlearning works: Seven research-based principles for smart teaching. John Wiley & Sons.American Psychological Association (1997). Learner-centered psychologicalprinciples: A framework for school redesign and reform. Washington, DC.American Statistical Association (2016). Employment Projections program, Bureau of LabourStatistics, U.S.Anderson, L.W., & Krathwohl, D.R. (2001). A taxonomy for learning, teaching and assessing: Arevision of Blooms Taxonomy of educational Objectives. New York: Longman.Anderson, L.W., Krathwohl, D.R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich,P.R., & Wittrock, M.C. (2001). Taxonomy for Learning, Teaching, and Assessing: ARevision of Bloom's Taxonomy of Educational Objectives White Plains, NY: Longman.Ari, R.B., & Eliassy, L. (2003). The Differential Effects of the LearningEnvironment on Student Achievement Motivation: A Comparison between Frontal and ComplexInstruction Strategies. Journal of Social Behaviour and Personality, 31(2), 143-166.Arzi, H. (2003). Enhancing science education laboratory environment: More than wall,benches and widgets. International handbook of science education, 1.Assor, A., Kaplan, H. & Roth (2002). Choice is good, but relevance is excellent:Autonomy?enhancing and suppressing teacher behaviours predicting students' engagement inschoolwork. British Journal of Educational Psychology, 72(2),1-278.Azry, M.A.M, Mazlini A., Amri A.R., Rahimie M.M.N., & Baharim M., (2016).Assessing the Relationship between Psychosocial Learning Environment andHigher Order Thinking Skills. Journal of Mathematical and ComputationalScience, 2(1).Azry, M.A.M, Mazlini A., Norafefah, M.S., Amri A.R., & Jasrul, N.G., (2017). Therelationship between learning environment and psychological characteristicsin higher education. Journal of Advanced Research in Social and BehaviouralSciences, 7(1), 96-117.Badaruddin Ibrahim (2012). Exploring the relationships among creativity,engineering knowledge, and design team interaction on senior engineeringdesign projects. Colorado State University.Baek, S.G., & Choi, H.J. (2002). The relationship between students perceptions ofclassroom environment and their academic achievement in Korea. Asia PacificEducation Review, 3(1), 125-135.Baeten M., Dochy F., & Struyven K. (2013). The effects of different learningenvironments on students motivation for learning and their achievement.Journal Education Psychology, 83(3), 484-501.Bailin, S. (2002). Critical thinking and science education. Science & Education,11(4), 361375.Bandura, A. (1997). Self-Efficacy: The exercise of control. New York: W.H. Freemanand Company.Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioural change.Psychological Review, 84(2), 191-215.Bandura, A. (1986). Social foundations of thought and action: A social cognitivetheory. Englewood Cliffs, NJ, US: Prentice-Hall, Inc.Bandura, A., & Locke, E.A. (2003). Negative Self-Efficacy and Goal EffectsRevisited. Journal of Applied Psychology, 88(1), 8799.Bao, P.L., Siu, C.K., & Guang, C. (2015). Development and validation of the smartclassroom inventory. Smart Learning Environments, 2(1), 1-18.Barahal, S.L. (2008). Thinking about thinking. Phi Delta Kappan, 90(4), 298-302.Barker, R.G. (1968). Ecological Psychology. Concepts and Methods for Studying theEnvironment of Human Behavior. Standford, CA: Standford University Press.Bass, B., Avolio, B., Jung, D., & Berson Y. (2003). Predicting unit performance byassessing transformational and transactional leadership. Journal of AppliedPsychology, 88(2), 207218.Becker, J.M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models inPLS-SEM: guidelines for using reflective-formative type models. Long RangePlanning, 45(5), 359-394.Beebe, K.R., Pell, R.J., & Seasholtz, M.B. (1998). Chemo metrics: A Practical Guide.New York: Wiley.Beins, B.C. (2004). Research Method: A tool for life with research. Boston: Allyn &Bacon.Bentler, P. M., & Bonett, D. G. (1980). Significance Tests and Goodness-of-Fit in theAnalysis of Covariance Structures, Psychological Bulletin, 88, 588-600.Beno, C. (1997). The development of inductive reasoning: Cross-sectionalassessments in an educational context. International Journal of BehaviouralDevelopment, 20(4), 609-626.Bernstein, D.A., Penner, L.A., Clarke, S.A., & Roy, E.J. (2006). Psychology (7th ed.)Boston M.A. Houghton Mifflin Company.Black, A.E., & Deci, E.L. (2000). The effects of instructors' autonomy support andstudents' autonomous motivation on learning organic chemistry: Aselfdetermination theory perspective. Science education, 84(6), 740-756.Bloom, B.S. (1956). Taxonomy of educational objectives. New York: McKay.Bong, M. (2005). Within-grade changes in Korean girls' motivation and perceptionsof the learning environment across domains and achievement levels. Journalof educational psychology, 97(4), 656-672.Booker, Q.E., & Rebman, C.E. (2005). E-student retention: Factors affectingcustomer loyalty for online program success. Issues in Information Systems,1(1), 183-189.Bransford, J.D., & Stein, B.S, (1984). The IDEAL problem solver. New York: W.H.Freeman.Brookhart, S.M., (2010). How to assess higher-order thinking skills in yourclassroom. Alexandria, Virginia USA. Association for Supervision andCurriculum Development ASCD.Brown, M.N., & Freeman, K. (2000). Distinguishing Features of Critical ThinkingClassrooms. Teach. Higher Education. 5(3), 301-309.Bruner, J.S. (1966). Toward a theory of instruction. Cambridge, Mass.: BelkappPress.Bryman, A., & Bell, E. (2007). Business Research Method. New York: OxfordUniversity Press.Budsankom, P., Sawangboon T., Damrongpanit S., & Chuensirimongkol J. (2015).Factors affecting higher order thinking skills of students: A meta-analyticstructural equation modeling study. Educational Research andReviews, 10(19), 2639-2652.Byrne, B.M. (2010). Structural Equation Modeling with AMOS: Basic Concepts,Applications, and Programming. Routledge. New YorkCavana, R., Delahaye, B.L., & Sekaran, U. (2001). Applied Business Research:Qualitative and Quantitative Methods. Australia: John Wiley and Sons.Chabeli, M.M. (2006). Higher order thinking skills competencies required byoutcomes-based education from learners. Curationis, 29(3), 78-86.Chang, V., & Fisher, D.L. (2001). The validation and application of a new learningenvironment instrument to evaluate online learning in higher education.In Proceedings of the Australian Association for Research in Educationconference 2001. Australian Association for Research in Education.Chapell, M.S., Blanding, Z.B., Silverstein, M.E., Takahashi, M., Newman, B., &Gubi, A. (2005). Test anxiety and academic performance in undergraduateand graduate students. Journal of educational Psychology, 97(2), 268.Che Nidzam, C.A., Kamisah O., & Lilia H. (2014). The establishment of physicalaspects of science laboratory environment inventory (PSLEI). Journal ofTurkish Science Education, 11(2), 123-136.Che Nidzam, C.A., Kamisah O., & Lilia, H. (2013). Physical and psychosocialaspects of the learning environment in the science laboratory and theirrelationship to teacher satisfaction. Learning Environments Research, 16(3),367-385.Chin, W.W. (2010). How to write up and report PLS analyses. In Handbook of partialleast squares (pp. 655-690). Springer, Berlin, Heidelberg.Chin, W.W., Marcolin, B. L., & Newsted, P.R. (2003). A partial least square latentvariable modeling approach for measuring interaction effects. Results from aMonte Carlo simulation study and an electronic-mail emotion/adoption study.Information Systems Research 14(2), 189217.Chinedu, C.C., Libunao, W.H., Kamen, Y.B., & Saud, M.S.B. (2014).Implementing Higher Order Thinking Skills in Teaching and Learning ofDesign and Technology Education. International Seminar on Technical andVocational Education, Johor-Malaysia.Chinedu, C.C., Olabiyi, O.S., & Kamin, Y. (2015). Strategies for Improving HigherOrder Thinking Skills in Teaching and Learning of Design and TechnologyEducation. Journal of Technical Education and Training, 7(2), 35-43.Chini J.C., Carmichael, A., Rebello, N.S., & Puntambekar S. (2009). Does theteaching/learning interview provide an accurate snapshot of classroomlearning?. In AIP Conference Proceedings (Vol. 1179, No. 1, pp. 113-116).AIP.Chionh, Y.H., & Fraser, B.J. (2009). Classroom environment, achievement, attitudesand self-esteem in geography and mathematics in Singapore. InternationalResearch in Geographical and Environmental Education, 18(1), 29-44.Chisholm, M.A., Cobb, H.H. & Kotzan J.A. (1997). Prior four year college degreeand academic performance of first year pharmacy students: a three yearstudy. American Journal of Pharmaceutical Education, 61(3), 278-280.Chism, N.V.N. (2006). Challenging traditional assumptions and rethinking learningspaces. Learning spaces, 2-1.Choy, S.C, & Phaik, K.C., (2009). Teacher perceptions of critical thinking amongstudents and its influence on higher education. International Journal ofteaching and learning in Higher Education, 20(2), 198-206.Church, M.A., Elliot, A.J., & Gable, S.L. (2001). Perceptions of ClassroomEnvironment, Achievement Goals, and Achievement Outcomes. Journal ofEducational Psychology, 93(1), 43-54.Churchill, G.A., & Iacobucci, D. (2002). Marketing research Methodologicalfoundations. Australia: South Western Thomson Learning.Chute, A.G., Thompson, M.M., & Hancock, B.W. (1999). The McGraw-Hillhandbook of distance learning. New York: McGraw-Hill.Cobb, G., & Moore, D.S. (1997). Mathematics, statistics and teaching. AmericanMathematical Monthly, 104(9), 801-823.Costa, A.L., & Kallick, B. (2008). Learning and Leading with Habits of Mind.Alexandria, Virginia USA. Association for Supervision and CurriculumDevelopment ASCD.Cohen, J., Cohen, P., West, S.G., & Aiken, L.S. (2003). Applied multipleregression/correlation analysis for the behavioural sciences. Mahwah, NJ:Erlbaum.Cohen, (1988). Statistical power analysis for the behavioural sciences. NJ:Lawrence Erlbaum Associates.Coie, J.D., Dodge, K.A., & Kupersmidt, J.B. (1990). Peer group behaviour and socialstatus. Peer rejection in childhood, 17.Cordova, D.I., & Lepper, M.R. (1996). Intrinsic motivation and the process oflearning: Beneficial effects of contextualization, personalization, andchoice. Journal of educational psychology, 88(4), 715730.Cotton, K. (1991). Teaching thinking skills. School Improvement Research Series.Creswell, J. W. (2003). Qualitative, quantitative, and mixed methods approaches.Thousand Oaks, CA: Sage.Crowl, T.K., Kaminsky, S., & Podell, D.M. (1997). Educational psychology:Windows on teaching. Madison, WI: Brown and Benchmark.Curtin, P. (2004). Employability skills for the future. Generic skills in vocationaleducation and training, 38-52.Davis, C.R. (2002). Calculated Risk: A Framework for Evaluating ProductDevelopment. Sloan Management Review, 43(4), 71-77.Davis, D. (1996). Business Research for Decision Making (4th ed.). Belmont,California: Duxbury Press.DeBourgh, G.A. (1999). Technology is the tool, teaching is the task: Studentsatisfaction in distance learning. Proceedings of Society for InformationTechnology & Teacher Education International Conference, 131-137. SanAntonio, TX,Deming, W.E. (1986). Out of Crisis, Centre for Advanced EngineeringStudy. Massachusetts Institute of Technology. Cambridge, MA.Department of Education Science and Training, (2002). Employability skills for thefuture. A report by the Australian Chamber of Commerce and Industry and theBusiness Council of Australia for DEST.Department of Statistic (2015). Unemployment Rate. Availablehttps://www.statistics.gov.myDeVeaux, R.D., & Velleman, P.F. (2008). Math is music; statistics is literature (or,why are there no six-year-old novelists?). Amstat News, 375, 54-58.DeVries, R., & Kohlberg, L. (1987). Programs of early education: The constructivistview. New York: Longman.Dewey, J. (1933). How we think: A restatement of the relation of reflective thinkingto the educative process. Boston: D. C. Heath and Company.Dijkstra, T. K. (2010). Latent variables and indices: Herman Wolds basic design andpartial least squares. In Handbook of partial least squares (pp. 23-46).Springer, Berlin, HeidelbergDijkstra, T.K. & Henseler, J. (2015). Consistent and Asymptotically Normal PLSEstimators for Linear Structural Equations, Computational Statistics & DataAnalysis, 81(1), 10-23.Donahue, T.L., & Wong, E.H. (1997). Achievement motivation and collegesatisfaction in traditional and nontraditional students. Education, 118(2), 237-244.Dorman, J.P. (2009). Associations between psychosocial environment and outcomesin technology-rich classrooms in Australian secondary schools. Research inEducation, 82(1), 69-84.Dorman, J.P. & Adams, J. (2004). Associations between students' perceptions ofclassroom environment and academic efficacy in Australian and Britishsecondary schools. Westminster Studies in Education, 27(1), 69-85.Dorman, J.P., & Fraser, B.J. (2009). Psychosocial Environment and AffectiveOutcomes in Technology-Rich Classrooms: Testing a Causal Model. SocialPsychology of Education: An International Journal, 12(1), 77-99.Dorman, J.P. (2001). Associations between classroom environment and academicefficacy. Learning Environments Research, 4(3), 243-257.Edman, J.L., & Brazil, B. (2007). Perceptions of campus climate, academic efficacyand academic success among community college students: An ethniccomparison. Social Psychology of Education, 12(3), 371-383.Effandi, Z., & Muzakkir, S., (2017). The Effect of Realistic Mathematics EducationApproach on Students Achievement and Attitudes towardsMathematics. Mathematics Education Trends and Research, 2017(1), 32-40.Effandi, Z., Norhidayah A., Siti Mistima, M., & Norazah, M.N., (2016). TeachingConcepts and Use of High-Order Cognitive Strategies in Mathematics amongSecondary School Teachers. Research Journal of Applied Sciences, 11(8),632-635.Ernest, A. (2013). The Effects of Psychosocial Learning Environment on StudentsAttitudes towards Mathematics. Application of Structural Equation Modelingin Educational Research and Practice, 2, 91-114.Facione, P.A. (2000). The disposition toward critical thinking: Its character,measurement, and relation to critical thinking skill. Informal Logic, 20(1), 61-84.Fatimah, S., & Lim, C.S., (2004). Mathematics education in Malaysia: Where are weheading. Trends and Challenges in Mathematics Education. East ChinaNormal University Press, Shanghai, 129-138.Fischer, C.G., & Grant, G.E. (1983). Intellectual levels in college classrooms. Studiesof college teaching, 47-60.Fleith D.S. (2000). Teacher and student perceptions of creativity in the classroomenvironment. Roeper Review, 22(3), 148-153.Florida Department of Education (1996). Sunshine State Standards. Tallahassee,FloridaFogarty, R., & McTighe, J. (1993). Education teachers for higher order thinking: Thethree-story intellect. Theory into Practice, 32(3), 161169.Fornell, C., & Larcker, D.F. (1981). Evaluating structural equations models withunobservable variables and measurement error. Journal of MarketingResearch, 18(1), 39-50.Fornell, C. (1992). A National Customer Satisfaction Barometer: The SwedishExperience. Journal of Marketing, 56(1), 6-21Frank, H., Kessler, A., Mitterer, G., & Sammer, W. D. (2012). Learning Orientationof SMEs and Its Impact on Firm Performance. Journal of MarketingDevelopment and Competitiveness, 6(3), 29-41.Fraser, B.J. & Kahle, J.B. (2007). Classroom, home and peer environment influenceson students outcomes in Science and Mathematics: An Analysis of systematicreform data. International Journal of Science Education. 29(15), 18911909.Fraser, B.J. (1981). Test of science-related attitudes (TOSRA) handbook. Melbourne:Australian Council for Educational Research.Fraser, B.J. (1998). Science learning environments: Assessment, effects anddeterminants. International handbook of science education, 527-564.Fraser, B.J., & Lee, S.S. (2009). Science laboratory classroom environments inKorean high schools. Learning Environments Research, 12(1), 67-84.Fraser, B.J., Aldridge, J.M., & Adolphe, F.S.G. (2010). A cross-national study ofsecondary science classroom environments in Australia andIndonesia. Research in Science Education, 40(4), 551-571.Gagn, R.M., Briggs, L.J., & Wager, W.W. (1988). Principles of instructionaldesign. New York: Holt, Rinehart and Winston, Inc.Gal, I. (2002). Adults statistical literacy: meanings, components, responsibilities.International Statistic Review, 70(1), 1-51.Gallagher, A.M., DeLisi, R., Holst, P.C., McGillicuddy A.V., Morely, M. & Cahalan,C. (2000). Gender differences in advanced mathematical problemsolving. Journal of Experimental Child Psychology, 75(3), 165-190.Galhardas, H., Florescu, D., Shasha, D., & Simon, E. (1999). An extensibleFramework for Data Cleaning. In Data Engineering, 2000. Proceedings. 16thInternational Conference on (pp. 312-312). IEEE.Galton, M., Hargreaves, L., & Pell, T. (2009). Group work and whole-class teachingwith 11 to 14-year olds compared. Cambridge Journal of Education, 39(1),119-140.Galton, M., Hargreaves, L., Comber, C., Wall, D., & Pell, A. (1999) Changes inpatterns of teacher interaction in primary classrooms: 1976? 96. BritishEducational Research Journal, 25(1), 23-37Gardiner, W.L. (1989). Forecasting, planning, and the future of the informationsociety. High technology workplaces: Integrating technology, management,and design for productive work environments, 27-39.Garside, C. (1996). Look Who's Talking: A Comparison of Lecture and GroupDiscussion Teaching Strategies in Developing Critical ThinkingSkills. Communication Education, 45(3), 212-27.Gay, L., Mills, G., & Airasian, P. (2006). Educational research: Competencies foranalysis and applications. New Jersey: Pearson Education, Inc.Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLSGraph:Tutorial and annotated example. Communications of the Associationfor Information systems, 16(1), 5.Gefen, D., Straub, D.W., & Boudreau, M.C. (2000). Structural Equation Modelingand Regression: Guidelines for Research Practice. Communications of theAssociation for Information Systems, 4(1), 179.George, J.M., & Jones, G.R, (2001). Towards a process model of individual change inorganizations. Human relations, 54(4), 419-444.Glaser, E.M. (1941). An experiment in the development of critical thinking. NewYork: AMS Press.Goh, S.C., & Fraser, B.J. (2000). Teacher interpersonal behaviour and elementarystudents' outcomes. Journal of Research in Childhood Education, 14(2), 216-231.Golightly T.R. (2007). Defining the components of academic self-efficacy in NavajoAmerican Indian high school students. (Doctoral Dissertation, Brigham YoungUniversity)Gore, P.A. (2006). Academic self-efficacy as a predictor of college outcomes: Twoincremental validity studies. Journal of career assessment, 14(1), 92-115.Gulistan, M.S., Saedah, S., Abu Bakar, N. & Omed, S.A. (2015). Higher OrderThinking Skills among Secondary School Students in ScienceLearning. Malaysian Online Journal of Educational Sciences, 3(3), 13-20.Habibollah, N., Rohani, A., Tengku Aizan, H., Jamaluddin, S.V. & Mallan, K.(2009). Self-esteem, gender and academic achievement of undergraduatestudents. American Journal of Scientific Research, 3(1), 26-37.Hair, J.F., Hult, G.T.M., Ringle, C.M., and Sarstedt, M. (2017). A Primer on PartialLeast Squares Structural Equation Modeling (PLS-SEM) (2nd Ed.). Sage:Thousand Oaks.Hair, J., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate dataanalysis (7th Ed.). Upper saddle River, New Jersey: Pearson EducationInternational.Hair, J., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2014). A Primer on PartialLeast Squares Structural Equation Modeling. Thousand Oaks: Sage.Hair, J., Ringle, C., & Sarstedt, M. (2011). PLS-SEM: indeed, a silver bullet. TheJournal of Marketing Theory and Practice, 19(2), 139-152.Hair, J.F., Anderson, R.L. & Tatham, W.C. (2006), Multivariate Data Analysis withReading (6th ed). Upper Saddle River, NJ: Prentice-HallHair, J.F., Babin, B., Money, A.H., & Samouel, P. (2003). Essentials of businessresearch methods. Hoboken, NJ: Wiley.Hair, J.F., Jr., Ringle, C.M., & Sarstedt, M. (2013). Partial least squares structuralequation modeling: Rigorous applications, better results and higheracceptance. Long Range Planning, 46(1-2), 112.Haladyna, T.M. (1997). Writing test items to evaluate higher order thinking. Boston:Allyn and BaconHansmann, K.W., & Ringle, C.M. (2005). Enterprise-networks and strategic success-An empirical analysis. Strategies for cooperation, 133-152.Hasan, Z., & Mahdi, K. (2016). The Role of Deductive and Inductive Reasoning inAccounting Research and Standard Setting. Asian Journal of Finance &Accounting, 8(1), 23-37.Hyde, J. S., Fennema, E. & Lamon, S. J. (1990). Gender differences in mathematicsperformance: a meta-analysis. Psychological bulletin, 107(2), 139.Reguia, C. (2014). Product Innovation and Competitive Advantage. EuropeanScientific Journal, 10(10).Hastings N, (1995). Seats of learning?. Support for Learning, 10(1), 8-11.Hayes, A.F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in thenew millennium. Communication Monographs, 76(4), 408-420.Henseler, J., & Chin, W.W. (2010). A comparison for the approaches for the analysisof interaction effects between latent variables using partial least squaresstructural equation modeling. Structural Equation Modeling, 17(1), 82109.Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squarespath modeling. Computational Statistics, 28(2), 565580.Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C.M., Diamantopoulos, A., Straub,D.W., Ketchen, D.J., Hair, J.F., Hult, G.T.M., and Calantone, R.J.(2014). Common Beliefs and Reality about Partial Least Squares: Commentson Rnkk & Evermann (2013), Organizational Research Methods, 17(2),182-209.Henseler, J., Ringle, C.M., & Sinkovics, R.R. (2009). The use of partial least squarespath modeling in international marketing. In New challenges to internationalmarketing (pp. 277-319). Emerald Group Publishing Limited.Henseler, J., Hubona, G., & Pauline A.R., (2016). Using PLS Path Modeling inNew Technology Research: Updated Guidelines. Industrial Management &Data Systems, 116(1), 2-20.Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Reviewof Educational research, 60(4), 549-571.Higgins, J.J. (1999). Nonmathematical statistics: A new direction for undergraduatediscipline. The American Statistician, 53(1), 1-6.Higgins, S., Hall, E., Wall, K., Woolner, P. & McCaughey, C. (2005). The impact ofschool environments: A literature review. London: Design Council.Hijazi, S.T., & Naqvi, S.M.M.R. (2006). Factors affecting students performance: Acase of private colleges. Bangladesh e-journal of Sociology, 3(1).Hofstein, A., & Lunetta, V.N. (2004). The laboratory in science education:Foundations for the twenty? first century. Science education, 88(1), 28-54.Hsieh, P., Sullivan, J.R., & Guerra, N.S. (2007). A closer look at college students:Self-efficacy and goal orientation. Journal of Advanced Academics, 18(3),454-476.Hu, L.T., & Bentler, P.M. (1998). Fit Indices in Covariance Structure Modeling:Sensitivity to Underparameterized Model Misspecification, PsychologicalMethods, 3(4), 424-453.Huang, J., Lin, Y., & Chuang, S. (2007). Elucidating user behaviour of mobilelearning: A perspective of the extended technology acceptance model. TheElectronic Library, 25(5), 586599.James, H.S., Pamela, D.T., & Jennifer, L.H. (2004). Handbook for Qualities EffectiveTeachers. Association for Supervision and Curriculum Development ASCD.Alexandria.Jarvis, D., MacKenzie, S., Podsakoff, P., (2003). A critical review of constructindicators and measurement model misspecification in marketing andconsumer research. Journal of consumer research 30(3), 199-218.Jones, J. (1992). Teaching clientele how or what to think: Strategies to foster criticalthinking in clientele. Journal of Extension, 30(1), 11-12.Junaidah, H. (2009). Academic Excellence as Selection Criteria among SelectedMalaysian Employer. Department of Business Administration, KENMSInternational Islamic University Malaysia.Juran, J.M. (1991). World War II and the quality movement. Quality Progress,24(12), 19-24.Kauchak, D.P., & Eggen, P.D. (1998). Learning and teaching: Research-basedmethods. Boston: Allyn and Bacon.Keller, J.M. (1983). Motivational design of instruction. Instructional design theoriesand models: An overview of their current status, 1(1983), 383-434.Kember, D., Ho, A., & Hong, C. (2010). Characterising a teaching and learningenvironment capable of motivating student learning. Learning EnvironmentsResearch, 13(1), 43-57.Kerka, S. (1992). Higher Order Thinking Skills in Vocational Education. ERIC DigestNo. 127.Khine, M.S. (2002). Study of learning environment for improving science educationin Brunei. In Studies in educational learning environments: An internationalperspective (pp. 131-151).Kilgour, P. (2006). Student, teacher and parent perceptions of classroomenvironments in streamed and unstreamed mathematics classrooms (Doctoraldissertation, Curtin University).Kind, P., Jones, K., & Barmby. P. (2007). Development attitudes towards sciencemeasures. International Journal of Science Education, 29(7), 871-893.King, F., Goodson, L., & Rohani, F. (2011). Higher order thinking skills: Definitions,strategies, assessment. Center for Advancement of Learning and Assessment.Tallahassee, FL: Florida State University.Knight G., & Noyes J. (1999). Children's behaviour and the design of schoolfurniture. Ergonomics, 42(5), 747-760.Kotler, P. (2001). Marketing Management. Millenium Edition. Pearson Education.Prentice-Hall, Inc.Korpershoek, H., Harms, T., de Boer, H., van Kuijk, M., & Doolaard, S. (2014). Ameta-analysis of the effects of classroom management strategies andclassroom management programs on students academic, behavioural,emotional, and motivational outcomes. Review of EducationalResearch, 86(3), 643-680.Krathwohl, D.R. (2002). A revision of Bloom's taxonomy: An overview. Theory intopractice, 41(4), 212-218.Krishnan, S., & Noraini, I., (2014). Aspects of Reform in Improving MalaysianStudents' Learning of Statistics. International Proceedings of EconomicsDevelopment and Research, 81, 109.Kumar M.N., Garimella U., Nalla D. (2014). Enabling higher order thinking andtechnical communication, An Indian context for OBE. In Frontiers inEducation Conference (FIE), 2014 IEEE (pp. 1-7). IEEE.Kutner, M.H., Nachtsheim, C.J., Neter, J., Wasserman, W., (2005). Applied LinearStatistical Models. McGraw-Hill. New York.Lakshman, M., Sinha, L., Biswas, M., Charles, M., & Arora, N.K. (2000).Quantitative Vs Qualitative Research Methods. Indian Journal of Paediatrics,67(5), 369-377.Lammers, W.J., & Smith, S.M. (2008). Learning factors in the university classroom:Faculty and student perspectives. Teaching of Psychology, 35(2), 61-70.Lane, K., Pierson, M., & Givner, C. (2003). Teacher expectations of studentbehaviour: Which skills do elementary and secondary teachers deem necessaryfor success in the classroom?. Education and Treatment of Children, 413-430Lather A.S., Jain S., & Shukla A.D. (2014). Students Creativity in Relation to Locusof Control: A Study of Mysore University, India. International Journal IndianPsycho, 2(1), 146-165.Lau T.K., Phang Y.N., & Zainudin A. (2012). Statistics for UiTM. Third edition.Oxford Fajar.Legg, S.M. (1990). Issues in critical thinking. College of Pharmacy at the Universityof Florida, Gainesville, FL.Lewis, A., & Smith, D. (1993). Defining higher order thinking. Theory into Practice,32(3), 131137.Lewis, B.R., Templeton, G.F., & Byrd, T.A. (2005). A Methodology for ConstructDevelopment in MIS Research, European Journal of Information Systems,14(4), 388-400.Lim, C. S. (2006). In search of good practice and innovation in mathematicsteaching and learning: A Malaysian perspective. In APEC-TsukubaConference: Innovative Teaching Mathematics through Lesson Study (pp. 16-20).Lim, C.H., Nagendralingan, R., Sopia, M.Y, Noor Shah, S., Rajendran, N., & Idris,M.R., (2012). The challenge to transform learning: Changing teachers theoryof teaching. Journal of Research, Policy & Practice of Teachers & TeacherEducation, 2(1), 6-15.Lizzio, A., Wilson, K., & Simon, R. (2002). University students' perceptions of thelearning environment and academic outcomes: implications for theory andpractice. Studies in Higher education, 27(1), 27-52Loes, C.N., Salisbury, M.H. & Pascarella, E.T. (2015). Student perceptions ofeffective instruction and the development of critical thinking: A replicationand extension. Higher Education, 69(5), 823-838.Lohmoller, J.B., (1989). Predictive vs. structural modeling: Pls vs. ml. In LatentVariable Path Modeling with Partial Least Squares (pp. 199-226). Physica,Heidelberg.Lpez, J., & Whittington, M. S. (2001). Higher-order thinking in a college course: Acase study. NACTA Journal, 45(4), 22-29.Lorsbach, A., & Jinks, J. (1999). Self-efficacy theory and learning environmentresearch. Learning Environments Research, 2(2), 157-167.Loughlin, C.E. and Suina, J.H. (1982). The Learning Environment: An InstructionalStrategy. Teachers College Press, Columbia University, New York.Lucas, B., Spencer, E., & Claxton, G. (2012). How to teach vocational education.City & Guilds Centre for Skills Development, London.MacGillivray, H., & Pereira-Mendoza, L. (2011). Teaching statistical thinkingthrough investigative projects. In teaching statistics in school mathematicschallengesfor teaching and teacher education (pp. 109-120). Springer,Dordrecht.Majeed, A., Fraser, B.J., & Aldridge, J.M. (2002). Learning environment and itsassociation with student satisfaction among mathematics students in BruneiDarussalam. Learning Environments Research, 5(2), 203-226.Malaysia Education Blueprint (2012). Preliminary Report: Malaysia educationblueprint 2013-2025. Teachers and schools leader. Kementerian PelajaranMalaysia.Malecki, C.K., & Elliott, S.N. (2002). Children's social behaviors as predictors ofacademic achievement: A longitudinal analysis. School PsychologyQuarterly, 17(1), 1-23.Margolis, H. & McCabe, P.P. (2006). Improving self-efficacy and motivation: Whatto do, what to say. Intervention in School & Clinic, 41(4) 218-227.Marso, R.N., & Pigge, F.L. (1993). 6. Teachers' Testing Knowledge, Skills, andPractices.Marzano, R.J., Pickering, D.J., Arredondo, D.E., Blackburn, G.J., Brandt, R.S.,Moffett, C.A., Paynter, D.E., Pollock, J.E., & Whisler, J.S. (1997).Dimensions of Learning: Teachers Manual. Alexandria, VA: Association forSupervision and Curriculum Development ASCD.Marzano, R.J., Pickering, D.J., & McTighe, J. (1993). Assessing student outcomes;Performance assessment using the dimensions of learning model. Alexandria,VA: Association for Supervision and Curriculum Development ASCD.Marzita, P., Che Nidzam, C.A., Noraini, M.N., Mazlini, A., & Mohd Hairy, I.(2015). The Classroom Physical Environment and Its Relation to Teachingand Learning Comfort Level. International Journal of Social Science andHumanity, 5 (3).Masten, A.S., Hubbard J.J., Gest S.D, Tellegen A., Garmezy N., Ramirez M. (1999).Competence in the context of adversity: Pathways to resilience andmaladaptation from childhood to late adolescence. Development andpsychopathology, 11(1), 143-169.Matai, P.H.L.D.S. & Matai, S. (2007). Cooperative Education: The PhysicalEnvironment. In International Conference on Engineering Education (ICEE),3-7.McDavitt, D. S. (1993). Teaching for understanding: Attaining higher order learningand increased achievement through experiential instruction. (ERIC DocumentReproduction Service No. ED 374 093)McGrew, K. (2010). Model of Academic Competence & Motivation (MACM).Institute for Applied Psychometrics IAP.McMillan, J.H. (2001). Secondary teachers classroom assessment and gradingpractices. Educational Measurement: Issues and practice, 20(1), 20-32.McMillan, J.H., Myron, S., & Workman, D. (2002). Elementary teachers classroomassessment and grading practices. Journal of Educational Research, 95(4),203-213.McRobbie, C.J., & Fraser, B.J. (1993 Associations between student outcomes andpsychosocial science environment. The Journal of EducationalResearch, 87(2), 78-85.Miles, C. (1992). The fourth R: Checklists for assessing thought in action. Journalof Developmental Education, 16(2), 3233.Miller, C. (1989). Cognitive levels of instruction and student performance in collegeof agriculture courses (Doctoral dissertation, The Ohio State University).Miri, B., David, B. C., & Uri, Z. (2007). Purposely teaching for the promotion ofhigher-order thinking skills: A case of critical thinking. Research in scienceeducation, 37(4), 353-369.Mohd. Ali I., & Shaharom N., (2003) Perbandingan Pencapaian Para Pelajar DalamPentaksiran Kerja Amali Dengan Peperiksaan Bertulis. Buletin PersatuanPendidikan Sains dan Matematik Johor.Monahan, T. (2002). Flexible space & built pedagogy: Emerging IT embodiments.Inventio, 4(1), 1-19.Moneta G.B., & Siu C.M.Y. (2002). Trait intrinsic and extrinsic motivations,academic performance, and creativity in Hong Kong college students. Journalof College Students Dev, 43(5), 664-683.Montgomery, D.C., Peck, E.A. & Vining G.G., (2006). Introduction to linearregression analysis (Vol. 821). John Wiley & Sons.Moore, J.C. (2005). The Sloan Consortium Quality Framework and the Five Pillars.The Sloan Consortium.Moore, J.C. (2009). A synthesis of Sloan-C effective practices. Journal ofsynchronous Learning Networks, 13(4), 84-94.Moore, M.G., & Kearsley, G. (1996). Distance education: A systems view. Belmont,CA: Wadsworth Publishing Company.Moos, R.H. (1973). Conceptualizations of human environments. Americanpsychologist, 28(8), 652.Moos, R.H. (1979). Evaluating educational environments: Procedures, methods,findings and policy implications. San Francisco, CA: Jossey-Bass.Morris C.G., & Maisto A.A. (2002). Psychology and Introduction. New Jersey:Upper Saddle River.Munirah G., & Santi S., (2014). A Research on Teachers Beliefs about MathematicsTeaching and Learning between Sekolah Kebangsaan (SK), Sekolah JenisKebangsaan Cina (SJKC) and Sekolah Jenis Kebangsaan Tamil (SJKT).Journal of Education and Practice, 5(31).Myers, R.H., (1986). Classical and modern regression with applications. DuxburyPress, Boston.Nelson R.M., & Debacker T.K. (2008). Achievement motivation in adolescents: Therole of peer climate and best friends. The Journal of ExperimentalEducation, 76(2), 170-189.Nitko, A.J., & Brookhart, S.M. (2007). Educational assessment of students. UpperSaddle River, NJ: Pearson Education.Noor Azlan A.Z. (2000). Perkembangan dan cabaran pendidikan matematik di abadke-21. Jabatan Pendidikan Sains dan Matematik, Fakulti Pendidikan,Universiti Teknologi Malaysia, Skudai, Johor.Norain, M.T., & Mohan, C., (2016). The Link between Higher Order ThinkingSkills, Representation and Concepts in Enhancing TIMSS Tasks. InternationalJournal of Instruction, 9(2), 199-214.Nor'ain, M.T., (2015). Exploring Mathematics Lecturers Teaching and LearningPractices at Higher Learning Institution. International Journal ofContemporary Applied Sciences, 2(8).Norris, S.P., & Ennis, R.H. (1989). What is critical thinking. The practitioner's guideto teaching thinking series: Evaluating critical thinking, 1-26.Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory. New York, NY:McGraw-HillNurul Jannah, A., Che Nidzam, C.A., Asmawati, Mohd Faizal, N.L.A., Mazlini, A., &Noraini, M.N. (2013). The physical classroom learning environment.In Proceedings of the International Higher Education Teaching and LearningConference (Vol. 2, No. 1, pp. 1-9).Ogbuehi, P.I., & Fraser, B.J. (2007). Learning environment, attitudes and conceptualdevelopment associated with innovative strategies in middle-schoolmathematics. Learning Environments Research, 10(2), 101-114.Okurut, C.O. (2010). Classroom learning environment and motivation towardsmathematics among secondary school students in Uganda. LearningEnvironments Research, 13(3), 267-277.Oliver, R.L. (1993). Cognitive, affective, and attribute bases of the satisfactionresponse. Journal of consumer research, 20(3), 418-430.Pajares, F. & Schunk, D.H. (2001). The Development of Academic Self-Efficacy.In Development of Achievement Motivation (pp. 15-31).Pajares, F. (1996). Self-efficacy beliefs in academic settings. Review of EducationalResearch, 66(4), 543-578.Pannells T.C., & Claxton A.F. (2008 Happiness, creative ideation, and locus ofcontrol. Creativity research journal, 20(1), 67-71.Parker, L.E., & Lepper, M.R. (1992). Effects of fantasy contexts on children'slearning and motivation: Making learning more fun. Journal of personalityand social psychology, 62(4), 625633.Pascarella E.T., Wang J.S., Trolian T.L., & Blaich C. (2013). How the instructionaland learning environments of liberal arts colleges enhance cognitivedevelopment. Higher Education, 66(5), 569-583.Patrick H., Ryan A., & Kaplan A. (2007). Early adolescents' perceptions of theclassroom social environment, motivational beliefs, and engagement. Journalof educational psychology, 99(1), 83.Patrick, J.H. (1986). Critical thinking in the social studies. ERIC Digest No. 30.Peter, J.P. (1981). Construct validity: A review of basic issues and marketingpractices. Journal of Marketing Research, 18, 133-145.Piaget, J. (1976). Piagets theory. In Piaget and his school (pp. 11-23). Springer,Berlin, Heidelberg.Pickard, M.J. (2007). The new Blooms taxonomy: An overview for family andconsumer sciences. Journal of Family and Consumer Sciences Education,25(1), 45-55.Pickford, J.C. (1988). Selected student and professor variables related to cognitiveachievement in college of agricultural course (Doctoral dissertation, The OhioState University).Pintrich, R.P., Smith, D.A., Garcia, F., & McKeachie T.W.J., (1991). A manual forthe use of the Motivated Strategies for Learning Questionnaire (MSQL). AnnArbor: Michigan, 48, 9-12.Preacher, K.J., & Hayes, A.F. (2004). SPSS and SAS procedures for estimatingindirect effects in simple mediation models. Behaviour research methods,instruments, & computers, 36(4), 717-731.Preacher, K.J., & Hayes, A.F. (2008). Assessing mediation in communicationresearch. The Sage sourcebook of advanced data analysis methods forcommunication research, 13-54.Rahil, M., Habibah, E., Loh, S.C., Muhd Fauzi, M., Nooreen, N. & Maria, C.A.(2006). The relationship between students' self efficacy and their Englishlanguage achievement. Malaysian Journal of Educators and Education, 21,61-71.Rajendran, N. (2001). The Teaching of Higher-Order Thinking Skills inMalaysia. Journal of Southeast Asian Education, 2(1), 42-65.Rajendran, N., & Idris, P.U.P.S. (2008). Teaching & Acquiring Higher-OrderThinking Skills: Theory & Practice. Penerbit Universiti Pendidikan SultanIdris.Ramayah, T., Lee, W.C., & Boey, C.I. (2011). Network Collaboration andPerformance in the Tourism Sector. Service Business, 5(4), 411-428.Ramos, J.L.S., Dolipas, B.B. & Villamore, B.B. (2013). Higher order thinking skillsand academic performance in physics of college students: A regressionanalysis. International Journal of Innovative Interdisciplinary Research, 1(4),48-60.Raudenbush, S.W., Rowan, B., & Cheong, Y. F. (1993). Higher order instructionalgoals in secondary schools: Class, teacher, and school influences. AmericanEducational Research Journal, 30(3), 523553.Reed, H.C., Drijvers, P., & Kirschner, P.A. (2010). Effects of attitudes and behaviourson learning mathematics with computer tools. Computers & Education, 55(1),1-15.Reston, E., Krishnan, S., & Noraini, I., (2014). Statistics Education Research inMalaysia and the Philippines: A Comparative Analysis. Statistics EducationResearch Journal, 13(2), 218-231.Rigdon, E.E. (2012). Rethinking partial least squares path modeling: In praise ofsimple methods. Long Range Planning, 45(5-6), 341358.Rigdon, E.E. (2014). Rethinking partial least squares path modeling: Breaking chainsand forging ahead. Long Range Planning, 47(3), 161-167.Ringle, C.M., Sarstedt, M., & Straub, D.W., (2012). Editors comments: a criticallook at the use of PLS-SEM in MIS quarterly. MIS Quarterly 36(1).Rohani A.T, Maryam K., & Farzaneh S., (2015). Correlates of Mathematics attitudeand Problem Solving Behaviour among Tehran, Republic of Iran Year 10Students. Jurnal Pendidikan Sains & Matematik, 5(1).Royer, J.M. & Garofoli, L.M. (2005). Cognitive contributions to sex differences inmath performance. Gender differences in mathematics, 99-120.Rozario G.D & Suhaimi M.T (2015). The influence of learning environment andacademic self-efficacy towards mathematics achievement in Masterskill globalcollege, Malaysia. International Journal of Arts and Commerce, 4 (2).Rutter M. (1979). Fifteen Thousand Hours: Secondary schools and their effects onchildren. Open Books.Ryan Hannah (2013). The Effect of Classroom Environment on Student Learning.Honors Theses. Paper 2375. Western Michigan University.Sanoff, H. (2000). Community Participation Methods in Design and Planning. Wiley:New York.Santrock J.W. (2009). Educational psychology. New York, NY: McGraw Hill.Sarstedt, M., Ringle, C.M., Henseler, J., & Hair, J.F. (2014). On the Emancipation ofPLS-SEM: A Commentary on Rigdon (2012). Long Range Planning, 47(3),154-160.Schraw G. (1998). Processing and recall differences among selective details. Journalof Educational Psychology, 90(1), 3-12.Schraw, G., & Dennison, R.S. (1994). The effect of reader purpose on interest andrecall. Journal of Reading Behavior,26(1), 1-18.Secretarys Commission on Achieving Necessary Skills. (1991). What work requiresof schools: A SCANS report for America 2000. Secretary's Commission onAchieving Necessary Skills, US Department of Labor.Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill buildingapproach. John Wiley & Sons.Shaw, V.F. (1996). The cognitive processes in informal reasoning. Thinking andReasoning, 2(1), 51-80.Shmueli, G., & Koppius, O.R. (2010). Predictive analytics in information systemsresearch. MIS Quart, 553-572Shukla, D., & Dungsungnoen, A.P. (2016). Student's Perceived Level and Teachers'Teaching Strategies of Higher Order Thinking Skills: A Study on HigherEducational Institutions in Thailand. Journal of Education andPractice, 7(12), 211-219.Sinclaire, J. (2011). Student satisfaction with online learning: Lessons fromorganizational behaviour. Research in Higher Education Journal, 11, 1-18.Sosik, J.J., Kahai, S.S., & Piovoso, M.J. (2009). Silver bullet or voodoo statistics?A primer for using the partial least squares data analytic technique in groupand organization research. Organization Management, 34(1), 5-36.Sparapani, E.F., (1998). Encouraging thinking in high school and middle school:Constraints and possibilities. The Clearing House, 71(5), 274-276.Spreng, R.A., Mackenzie, S.B., & Olshavsky, R.W. (1996). A Re-Examination of theDetermination of Consumer Satisfaction. Journal of Marketing, 60, 15-32.Stajkovic, A.D., & Luthans, F. (2003). Social cognitive theory and self-efficacy:Implications for motivation theory and practice. Motivation and workbehaviour, 126, 140.Sternberg R.J., & Williams W.M. (2001). Educational Psychology. Boston, USA:Allyn and Bacon.Strange, C.C. & Banning, J.H. (2001). Educating by Design: Creating CampusLearning Environments That Work. San Francisco: Jossey-Bass.Straub, D. (1989). Validating instruments in MIS research. MIS Quarterly, 13(2),147-169.Sweeney, J.C., & Ingram, D. (2001). A comparison of traditional and web--basedtutorials in marketing education: An exploratory study. Journal of MarketingEducation, 23(1), 55-62.Tal, R., & Hochberg, N. (2003). Assessing high order thinking of learnersparticipating in the WISE project in Israel. Studies in EducationalEvaluation, 29(2), 69-89.Tan, W.C., Aris, B., & Abu, M.S. (2006). GLOOTT Model: A pedagogically enricheddesign framework of learning environment to improve higher order thinkingskills. AACE Journal, 14(2), 139-153.Tanujaya, B. Mumu, J. & Margono, G. (2017). The Relationship between HigherOrder Thinking Skills and Academic Performance of Student in MathematicsInstruction. International Education Studies, 10(11), 78.Tanner. C.K. (2000). The influence of school architecture on academicachievement. Journal of educational administration, 38(4), 309-330.Tax, S.S., Brown, S.W. & Chandrashekaran, M. (1998). Customer evaluations ofservice complaint experiences: implications for relationship marketing. Thejournal of marketing, 60-76.Tessmer, M., & Harris, D. (1992). Analyzing the instructional setting. Kogan PageLimited.Thurmond, V.A., Wambach, K., Connors, H.R., & Frey, B.B. (2002). Evaluation ofstudent satisfaction: Determining the impact of a web-based environment bycontrolling for student characteristics. The American Journal of DistanceEducation, 16(3), 169-189.Trigwell, K., & Prosser, M. (1991). Improving the quality of student learning: theinfluence of learning context and student approaches to learning on learningoutcomes. Higher education, 22(3), 251-266.Troussier, B. (1999). Comparative study of two different kinds of school furnitureamong children. Ergonomics, 42(3), 516-526.Valerie, F. (2012). Re-discovering the PLS approach in management science.Management, 15(1), 101-123.Veal, W.R & Jackson, Z. (2006). Developing a primary science methodsclassroom. International Journal of Science and Mathematics Education, 4(2),195-213.Velayutham, S., & Aldridge, J.M. (2012). Influence of psychosocial classroomenvironment on students motivation and self-regulation in science learning: Astructural equation modeling approach. Research in Science Education, 43(2),507-527.Velayutham, S., Aldridge, J.M., & Fraser, B.J. (2011). Development and validationof an instrument to measure students motivation and self-regulation in sciencelearning. International Journal of Science Education, 33(15), 2159-2179.Vinita, A., & Hema, G. (2016). Effect of Interpersonal Intelligence Based TeachingStrategies on Students Academic Achievement. The International Journal ofIndian Psychology, 3(4), 2349-3429.Vinzi V.E., Chin W.W., Henseler J., & Wang H. (2010) Handbook of partial leastsquares: Concepts, methods, and applications (2346). Berlin: SpringerWalberg, H.J. (1981). A psychological theory of education productivity. In Farley,F.H. & Gordons, N. (1981.), Psychology and Education: The State and theUnion. McCutchan Publishing Corporation.Wanekezi, A.U., Iruloh, B.R. (2012). An Assessing Learning Environment forAchieving Standard in Primary Education: Implication for Counselling forHuman Capacity Development. African Research Review, 6(2), 274-289.Wayt, L.K., (2012). The Impact of Students Academic and Social Relationships onCollege Student Persistence. Educational Administration.Weinstein, C.S. (1979). The physical environment of the school: A review of theresearch. Review of educational Research, 49(4), 577-610.Weisberg, S., (2005). Applied linear regression (Vol. 528). John Wiley & Sons.Weishen, W., Chang, H.P., & Guo, C.J. (2007). The development of an instrument fora technology-integrated science learning environment. International Journalof Science and Mathematics Education, 7(1), 207.Wetzels, M., Gaby, O.S., & Claudia, V.O. (2009). Using PLS path modeling forassessing hierarchical construct models: Guidelines and empirical illustration.MIS Quarterly, 33(1), 177-195.Wheeler, P. & Haertel, G. (1993). Resource Handbook on Performance Assessmentand Measurement: A Tool for Students, Practitioners, and Policymakers. OwlPress.Wheldall, K. & Lam, Y.Y. (1987). Rows versus Tables. II. The Effects of TwoClassroom Seating Arrangements on Classroom Disruption Rate, On? taskBehaviour and Teacher Behaviour in Three Special SchoolClasses. Educational Psychology, 7(4), 303-312.Wilson, B., & Henseler, J., (2007). Modeling Reflective Higher Order ConstructsUsing Three Approaches with PLS Path Modeling: A Monte Carlo Comparison. Australian and New Zealand Marketing Academy Conference,Otago, Australia, 791-800.Winberg, T.M., & Hedman, L. (2008). Student attitudes toward learning, level of preknowledgeand instruction type in a computer-simulation: effects on flowexperiences and perceived learning outcomes. Instructional Science, 36(4),269-287.Wold, H. (1985). Partial least squares. Encyclopaedia of statistical sciences. NewYork: Wiley.Wolf, S.J., & Fraser, B.J. (2008). Learning environment, attitudes and achievementamong middle-school science students using inquiry-based laboratoryactivities. Research in science education, 38(3), 321-341.Woolfolk A.E. (2004). Educational psychology. Boston: Pearson Education, Inc.Wu, H., Tennyson, R.D., & Hsia, T. (2010). A study of student satisfaction in ablended e-learning system environment. Computers & Education, 55(1), 155-164.Yee, M. H., Jailani, M. Y., Razali, H., Widad, O., & Tee, T. K. (2010). ThePerception of the Level of Higher Order Thinking Skills among TechnicalEducation Students. In International Conference on Social Science andHumanity journal. Faculty of Technical Education, Universiti Tun HusseinOnn Malaysia.Yee, M. H., Widad, O., Jailani, M. Y., Tee, T. K., Razali, H., & Mimi Mohaffyza, M.(2011). The Level of Marzano Higher Order Thinking Skills AmongTechnical Education Students. International Journal of Social Science andHumanity, 1(2), 121.Yunos, J.M., Kiong, T.T., Heong, Y.M., Mohamad, M.M.B., Mohamad, B.B., &Othman, W.B. (2010). The Level of Higher Order Thinking Skills for LowerSecondary Students in Malaysia.Zaidah, I. & Daliela, R. (2007). Predicting students academic performance:comparing artificial neural network, decision tree and linear regression. In 21stAnnual SAS Malaysia Forum, 5th September.Zainuddin, A. (2012). Research Methodology for Business and Social Science. ShahAlam, Universiti Teknologi MARA Publication Centre (UiTM Press).Zainudin, A. (2007). The influence of Service Quality and Corporate image onStudents Loyalty in Higher Education: The case study of a localuniversity. Unpublished PhD Thesis, Universiti Malaysia Terengganu,Malaysia.Zandvliet, D.B. (1999). The physical and psychosocial environment associated withclassrooms using new information technologies: a cross-nationalstudy (Doctoral dissertation, Curtin University).Zandvliet, D.B., & Fraser, B.J. (2005). Physical and psychosocial environmentsassociated with networked classrooms. Learning EnvironmentsResearch, 8(1), 1-17.Zandvliet, D.B., & Straker, L.M. (2001). Physical and psychosocial aspects of thelearning environment in information technology richclassrooms. Ergonomics, 44(9), 838-857.Zan, R. & Martino, P. (2008). Attitude toward mathematics: Overcoming thepositive/negative dichotomy. The Montana Mathematics Enthusiast, 3, 157-168.Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Mythsand truths about mediation analysis. Journal of consumer research, 37(2),197-206.Zikmund, W.G. (2003). Sample designs and sampling procedures. Business researchmethods, 7, 368-400.Zohar, A., & Dori, Y.J. (2003). Higher order thinking skills and low-achievingstudents: Are they mutually exclusive? The Journal of the Learning Sciences,12(2), 145-181.

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