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Original Articles

The role of attitudinal factors in mathematical on-line assessments: a study of undergraduate STEM students

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References

  • Adesina, A., R.G. Stone, and I. Jones. 2015. “A Semi-automatic Computer-aided Assessment Approach for Marking and Providing Feedback Comments.” In Proceedings of the 7th International Conference on Computer Supported Education, Lisbon, Portugal, edited by S. Zvacek, M. T. Restivo, J. Uhomoibhi, and M. Helfert, 93–100.
  • Ajzen, I. 1991. “The Theory of Planned Behavior.” Organizational Behavior and Human Decision Processes 50 (2): 179–211.10.1016/0749-5978(91)90020-T
  • Angus, S. D., and J. Watson. 2009. “Does Regular Online Testing Enhance Student Learning in the Numerical Sciences? Robust Evidence from a Large Data Set.” British Journal of Educational Technology 40 (2): 255–272.10.1111/bjet.2009.40.issue-2
  • Attali, Y., and M. Arieli-Attali. 2015. “Gamification in Assessment: Do Points Affect Test Performance?” Computers & Education 83: 57–63.10.1016/j.compedu.2014.12.012
  • Bagozzi, R. P., and Y. Yi. 1988. “On the Evaluation of Structural Equation Models.” Journal of the Academy of Marketing Science 16 (1): 74–94.10.1007/BF02723327
  • Bandura, A. 1986. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.
  • Bloxham, S., and P. Boyd. 2007. Developing Effective Assessment in Higher Education: A Practical Guide. Maidenhead: McGraw-Hill International.
  • Brown, G., J. Bull, and M. Pendlebury. 1997. Assessing Student Learning in Higher Education. London: Routledge.
  • Cheung, R., and D. Vogel. 2013. “Predicting User Acceptance of Collaborative Technologies: An Extension of the Technology Acceptance Model for E-learning.” Computers & Education 63: 160–175. doi:10.1016/j.compedu.2012.12.003.
  • Cigdem, H., and S. Oncu. 2015. “E-assessment Adaptation at a Military Vocational College: Student Perceptions.” Eurasia Journal of Mathematics, Science & Technology Education 11 (5): 971–988.
  • Crippen, K. J., and D. W. Brooks. 2002. “An Analysis of Student Learning at a Testing Web Site Emphasizing Descriptive Chemistry.” Journal of Computers in Mathematics and Science Teaching 21 (2): 183–201.
  • Davis, F. D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319–340.10.2307/249008
  • Davis, F. D. 1993. “User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts.” International Journal of Man-Machine Studies 38 (3): 475–487.10.1006/imms.1993.1022
  • Davis, F. D., R. P. Bagozzi, and P. R. Warshaw. 1992. “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace.” Journal of Applied Social Psychology 22 (14): 1111–1132.10.1111/jasp.1992.22.issue-14
  • Dettori, G., R. Garuti, and E. Lemut. 2002. “From Arithmetic to Algebraic Thinking by Using a Spreadsheet.” Perspectives on School Algebra, edited by R. Sutherland, T. Rojano, A. Bell, and R. Lins, 191–207. Dordrecht, Netherlands: Springer.10.1007/0-306-47223-6
  • Dreher, C., T. Reiners, and H. Dreher. 2011. “Investigating Factors Affecting the Uptake of Automated Assessment Technology.” Journal of Information Technology Education 20 (2): 211–214.
  • Fishbein, M., and I. Ajzen. 1975. Belief, Attitude, Intension and Behavior: An Introduction to Theory and Research. Reading, MA: Addison Wesley.
  • Galbraith, P., and C. Haines. 1998. “Disentangling the Nexus: Attitudes to Mathematics and Technology in a Computer Learning Environment.” Educational Studies in Mathematics 36 (3): 275–290.10.1023/A:1003198120666
  • Gibbs, G., and C. Simpson. 2004. “Conditions under Which Assessment Supports Students’ Learning.” Learning and Teaching in Higher Education 1 (1): 3–31.
  • Gipps, C. V. 2005. “What is the Role of ICT-based Assessment in Universities?” Studies in Higher Education 30: 171–180.10.1080/03075070500043176
  • Götz, O., K. Liehr-Gobbers, and M. Krafft. 2010. “Evaluation of Structural Equation Models Using the Partial Least Squares (PLS) Approach.” In Handbook of Partial Least Squares, edited by V. Esposito Vinzi, W. W. Chin, J. Henseler, and H. Wang, 691–711. Berlin: Springer.10.1007/978-3-540-32827-8
  • Haddif, G. N., and M. Yerushalmy. 2015. “Digital Interactive Assessment in Mathematics: The Case of Construction E-tasks.” In CERME 9-Ninth Congress of the European Society for Research in Mathematics Education. https://hal.archives-ouvertes.fr/hal-01289357/.
  • Hair, J. F., W. C. Black, B. J. Babin, and R. E. Anderson. 2010. Multivariate Data Analysis. 7th ed. Upper Saddle River, NJ: Prentice Hall.
  • Hodgson, P., and M. Y. C. Pang. 2012. “Effective Formative E-assessment of Student Learning: A Study on a Statistics Course.” Assessment & Evaluation in Higher Education 37 (2): 215–225.
  • Hooshyar, D., R. B. Ahmad, M. Yousefi, M. Fathi, S.-J. Horng, and H. Lim. 2016. “Applying an Online Game-based Formative Assessment in a Flowchart-based Intelligent Tutoring System for Improving Problem-solving Skills.” Computers & Education 94: 18–36.10.1016/j.compedu.2015.10.013
  • Iannone, P., and A. Simpson. 2013. “Students’ Perceptions of Assessment in Undergraduate Mathematics.” Research in Mathematics Education 15 (1): 17–33.10.1080/14794802.2012.756634
  • Jordan, S. 2014. “E-assessment for Learning? Exploring the Potential of Computer-marked Assessment and Computer-generated Feedback, from Short-answer Questions to Assessment Analytics.” PhD diss., The Open University. http://oro.open.ac.uk/41115/.
  • Kaplan, D. 2008. Structural Equation Modeling: Foundations and Extensions. Los Angeles, CA: Sage.
  • Kapp, K. M. 2012. The Gamification of Learning and Instruction: Game-based Methods and Strategies for Training and Education. San Francisco, CA: Wiley.
  • van der Kleij, F. M., T. J. H. M. Eggen, C. F. Timmers, and B. P. Veldkamp. 2012. “Effects of Feedback in a Computer-based Assessment for Learning.” Computers & Education 58 (1): 263–272.10.1016/j.compedu.2011.07.020
  • Kuh, G. D., N. Jankowski, S. O. Ikenberry, and J. Kinzie. 2014. Knowing What Students Know and Can Do: The Current State of Student Learning Outcomes Assessment in US Colleges and Universities. Urbana: University of Illinois and Indiana University, National Institute for Learning Outcomes Assessment (NILOA). http://www.learningoutcomeassessment.org/documents/2013%20Surve%20Report%20Final.pdf.
  • Liu, S.-H., H.-L. Liao, and J. A. Pratt. 2009. “Impact of Media Richness and Flow on E-learning Technology Acceptance.” Computers & Education 52 (3): 599–607.10.1016/j.compedu.2008.11.002
  • López, L. 2009. “Effects of Delayed and Immediate Feedback in the Computer-based Testing Environment.” PhD diss., Indiana State University. http://search.proquest.com/docview/304900802/abstract?accountid=12253.
  • Ludvigsen, K., R. Krumsvik, and B. Furnes. 2015. “Creating Formative Feedback Spaces in Large Lectures.” Computers & Education 88: 48–63.10.1016/j.compedu.2015.04.002
  • Martínez-Sierra, G., M. E. Valle-Zequeida, M. Miranda-Tirado, and C. Dolores-Flores. 2016. “Social Representations of High School Students about Mathematics Assessment.” Canadian Journal of Science, Mathematics and Technology Education 16 (3): 247–258.10.1080/14926156.2015.1119336
  • Mastering critique. 2014. “I Hate Mastering Physics.” Accessed 6/10/2017. https://redd.it/1x8deh, https://redd.it/52godk.
  • Miller, T. 2009a. “Formative Computer-based Assessment in Higher Education: The Effectiveness of Feedback in Supporting Student Learning.” Assessment & Evaluation in Higher Education 34 (2): 181–192.10.1080/02602930801956075
  • Miller, T. 2009b. “Formative Computer-based Assessments: The Potentials and Pitfalls of Two Formative Computer-based Assessments Used in Professional Learning Programs.” PhD diss., Queen’s University, Belfast. http://hdl.handle.net/1974/1677.
  • Moon, J.-W., and Y.-G. Kim. 2001. “Extending the TAM for a World-Wide-Web Context.” Information & Management 38 (4): 217–230.10.1016/S0378-7206(00)00061-6
  • Nicol, D. J., and D. Macfarlane-Dick. 2006. “Formative Assessment and Self-regulated Learning: A Model and Seven Principles of Good Feedback Practice.” Studies in Higher Education 31: 199–218.10.1080/03075070600572090
  • Nikou, S. A., and A. A. Economides. 2016. “The Impact of Paper-based, Computer-based and Mobile-based Self-assessment on Students’ Science Motivation and Achievement.” Computers in Human Behavior 55 (Part B): 1241–1248.10.1016/j.chb.2015.09.025
  • Ong, C. S., J. Y. Lai, and Y. S. Wang. 2004. “Factors Affecting Engineers’ Acceptance of Asynchronous E-learning Systems in High-tech Companies.” Information and Management 41: 795–804.10.1016/j.im.2003.08.012
  • Peltenburg, M., M. van den Heuvel-Panhuizen, and B. Doig. 2009. “Mathematical Power of Special-needs Pupils: An ICT-based Dynamic Assessment Format to Reveal Weak Pupils’ Learning Potential.” British Journal of Educational Technology 40 (2): 273–284.10.1111/bjet.2009.40.issue-2
  • Reed, H. C., P. Drijvers, and P. A. Kirschner. 2010. “Effects of Attitudes and Behaviours on Learning Mathematics with Computer Tools.” Computers & Education 55 (1): 1–15.10.1016/j.compedu.2009.11.012
  • Ringle, C., S. Wende, and A. Will. 2005. “SmartPLS Software ‘SmartPLS 2.0,’ Hamburg.” http://www.pls-sem.com/.
  • Rosen, L. D., and M. M. Weil. 1995. “Computer Anxiety: A Cross-cultural Comparison of University Students in Ten Countries.” Computers in Human Behavior 11 (1): 45–64.10.1016/0747-5632(94)00021-9
  • Sangwin, C. 2013. Computer Aided Assessment of Mathematics. Oxford: Oxford University Press.10.1093/acprof:oso/9780199660353.001.0001
  • Sangwin, C., and N. Köcher. 2016. “Automation of Mathematics Examinations.” Computers & Education 94: 215–227.10.1016/j.compedu.2015.11.014
  • Teo, T. 2009. “Modelling Technology Acceptance in Education: A Study of Pre-service Teachers.” Computers & Education 52 (2): 302–312.10.1016/j.compedu.2008.08.006
  • Teo, T. 2012. “Examining the Intention to Use Technology among Pre-service Teachers: An Integration of the Technology Acceptance Model and Theory of Planned Behavior.” Interactive Learning Environments 20 (1): 3–18.10.1080/10494821003714632
  • Terzis, V. 2012. “Integrating Personalized, Emotional and Physiological Measurements into the Technological Accpetance Model: A Study Based on the Acceptance of a Computer Based Acceptance Model.” PhD diss., University of Macedonia. http://dspace.lib.uom.gr/handle/2159/15672.
  • Terzis, V., and A. A. Economides. 2011. “The Acceptance and Use of Computer Based Assessment.” Computers & Education 56 (4): 1032–1044.10.1016/j.compedu.2010.11.017
  • Terzis, V., C. N. Moridis, and A. A. Economides. 2012. “The Effect of Emotional Feedback on Behavioral Intention to Use Computer Based Assessment.” Computers & Education 59 (2): 710–721.10.1016/j.compedu.2012.03.003
  • Thompson, R. L., C. A. Higgins, and J. M. Howell. 1991. “Personal Computing: Toward a Conceptual Model of Utilization.” MIS Quarterly 15 (1): 125–143.10.2307/249443
  • Ursini, S., G. Sánchez, and M. Orendain. 2004. “ Validación Y Confiabilidad De Una Escala De Actitudes Hacia Las Matemáticas Y Hacia Las Matemáticas Enseñadas Con Computadora.” Educación Matemática 16 (3): 59–78.
  • Venkatesh, V. 2000. “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model.” Information Systems Research 11 (4): 342–365.10.1287/isre.11.4.342.11872
  • Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27 (3): 425–478.
  • Walet, N. R., and M. Birch. 2012. “Using Online Assessment to Provide Instant Feedback.” In Proceedings of the HEA STEM Learning and Teaching Conference (2012) (Vols. 1-0). The Higher Education Academy. http://journals.heacademy.ac.uk/doi/abs/10.11120/stem.hea.2012.095.
  • Whitelock, D. M. 2009. “Editorial: E-assessment: Developing New Dialogues for the Digital Age.” British Journal of Educational Technology 40 (2): 199–202.10.1111/bjet.2009.40.issue-2
  • Whitelock, D. M., and A. Brasher. 2006. “Developing a Roadmap for E-assessment: Which Way Now?” In Proceedings of the 10th CAA International Computer Assisted Assessment Conference, edited by M. Danson, 487–501. Loughborough. http://oro.open.ac.uk/11950/.
  • Whitelock, D., and Y. Raw. 2003. “Taking an Electronic Mathematics Examination from Home: What the Students Think.” In Computer Based Learning in Science, New Technologies and Their Applications in Education, edited by C. P. Constantinou and Z. C. Zacharia, Vol. 1, Nicosia, 701–713. Cyprus: Department of Educational Sciences, University of Cyprus.
  • Williams, P. 2002. “The Learning Web the Development, Implementation and Evaluation of Internet-based Undergraduate Materials for the Teaching of Key Skills.” Active Learning in Higher Education 3 (1): 40–53.10.1177/1469787402003001004
  • Wilson, K., C. Boyd, L. Chen, and S. Jamal. 2011. “Improving Student Performance in a First-year Geography Course: Examining the Importance of Computer-assisted Formative Assessment.” Computers & Education 57 (2): 1493–1500.10.1016/j.compedu.2011.02.011
  • Wolf, E. J., K. M. Harrington, S. L. Clark, and M. W. Miller. 2013. “Sample Size Requirements for Structural Equation Models an Evaluation of Power, Bias, and Solution Propriety.” Educational and Psychological Measurement 73 (6): 913–934.10.1177/0013164413495237

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