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Technology, Knowledge and Learning
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05-05-2021 | Original research

Examining the Primacy and Recency Effect on Learning Effectiveness with the Application of Interactive Response Systems (Irs)

Authors: Ying-Jung Yvonne Yeh, Min-Hung Chen

Published in: Technology, Knowledge and Learning | Issue 3/2022

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Abstract

This study first examined the factors that enhance learning effectiveness and student satisfaction when an interactive response system (IRS) is introduced to a financial planning course. Second, we examined the influence of the initial experience of using an IRS on subsequent learning results. A total of 217 financial practitioners participated in a three-session financial course. During the course, the instructor interacted with the participants using the IRS. Participants were asked to use the smartphone-based IRS to interact with their instructor, and they were requested to complete two tests (a pretest and a posttest) and a satisfaction survey after each session. Participation data were directly imported into the UMU system for statistical analysis. The results indicated that task–technology fit (TTF) and instructor ability were predictors of learning effectiveness and student satisfaction. The perception of TTF in the first session had a positive effect on the cognitive results in the subsequent stages, which was the primacy effect. Moreover, a recency effect was observed in the affective results, meaning that the influence of the perception of TTF and instructor ability in the concurrent session on student satisfaction was stronger than the influence of previous experiences. Research and practical implications are presented to conclude the paper.
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Footnotes
1
Student satisfaction was evaluated three times. SS1, SS2, and SS3 refer to the student satisfaction during the first, second, and third session, respectively. The posttest was administered three times, with the results referred to as Posttest1, Posttest2, and Posttest3 in the following discussion.
 
Literature
Ahmad, K. Z., & Bakar, R. A. (2003). The association between training and organizational commitment among white-collar workers in Malaysia. International Journal of Training and Development, 7(3), 166–185CrossRef
Anderson, N. H. (1981). Foundations of information integration theory. Academic Press.
Asare, S. K. (1992). The auditor’s going-concern decision: Interaction of task variables and the sequential processing of evidence. The Accounting Review, 67(2), 379–393
Asch, S. E. (1946). Forming impressions of personality. Journal of Abnormal and Social Psychology, 41(3), 258–290CrossRef
Ataş, A. H., & Delialioğlu, O. (2018). A question–answer system for mobile devices in lecture-based instruction: A qualitative analysis of student engagement and learning. Interactive Learning Environments, 26(1), 75–90CrossRef
Basso, A., Goldberg, D., Greenspan, S., & Weimer, D. (2001). First impressions: emotional and cognitive factors underlying judgments of trust E-commerce. In Proceedings of the 3rd ACM Conference on Electronic Commerce, 137–143.
Buchert, S., Laws, E. L., Apperson, J. M., & Bregman, N. J. (2008). First impressions and professor reputation: Influence on student evaluations of instruction. Social Psychology of Education, 11(4), 397–408CrossRef
Caldwell, J. E. (2007). Clickers in the large classroom: Current research and best-practice tips. CBE Life Sciences Education, 6(1), 29–41CrossRef
Crano, W. D. (1977). Primacy versus recency in retention of information and opinion change. Journal of Social Psychology, 101(1), 87–96CrossRef
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340CrossRef
DeBacker, T. K., & Crowson, H. M. (2008). Measuring need for closure in classroom learners. Contemporary Educational Psychology, 33(4), 711–732CrossRef
Dori, Y. J., & Belcher, J. (2005). How does technology-enabled active learning affect undergraduate students’ understanding of electromagnetism concepts? The journal of the learning sciences, 14(2), 243–279CrossRef
Elliott, K. M., & Healy, M. A. (2001). Key factors influencing student satisfaction related to recruitment and retention. Journal of Marketing for Higher Education, 10(4), 1–12CrossRef
Files, C., & Marshall, J. (2006). Classroom response systems: A review of the literature. Journal of Science Education and Technology, 15(1), 101–109CrossRef
Forgas, J. P. (2011). Can negative affect eliminate the power of first impressions? Affective influences on primacy and recency effects in impression formation. Journal of Experimental Social Psychology, 47(2), 425–429CrossRef
Frymier, A. B. (2005). Students’ classroom communication effectiveness. Communication Quarterly, 53(2), 197–212CrossRef
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213–236CrossRef
Haugtvedt, C. P., & Wegener, D. T. (1994). Message order effects in persuasion: An attitude strength perspective. Journal of Consumer Research, 21(1), 205–218CrossRef
Hou, S. T., & Fan, H. L. (2011). The antecedents and consequences of negative technology sense-making: A longitudinal field study of the Taiwan taxi fleet. Management Review, 30(3), 149–153
Hsiao, R. L., Hou, S. T., & Ou, S. H. (2011). Evolving technology sensemaking: Analyzing the innovation process of GPS-dispatch systems. Journal of Information Management, 18(4), 91–118
Ingalls, V. (2018). Students vote: A comparative study of student perceptions of three popular web-based student response systems. (pp. 1–11). Technology.
Johar, G. V., Jedidi, K., & Jacoby, J. (1997). A varying-parameter averaging model of on-line brand evaluations. Journal of Consumer Research, 24(2), 232–247CrossRef
Johnson, E. N. (1995). Effects of information order, group assistance, and experience on auditors’ sequential belief revision. Journal of Economic Psychology, 16(1), 137–160CrossRef
Kim, H., & Fesenmaier, D. R. (2008). Persuasive design of destination web sites: An analysis of first impression. Journal of Travel Research, 47(1), 3–13CrossRef
Larsen, T. J., Sorebo, A. M., & Sorebo, O. (2009). The role of task-technology fit as users’ motivation to continue information system use. Computers in Human Behavior, 25(5), 778–784CrossRef
Li, N., Marsh, V., Rienties, B., & Whitelock, D. (2017). Online learning experiences of new versus continuing learners: A large scale replication study. Assessment & Evaluation in Higher Education, 42(4), 657–672CrossRef
Lin, W. S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Studies, 70(7), 498–507CrossRef
Love, E. G., Love, D. W., & Northcraft, G. B. (2010). Is the end in sight? Student regulation of in-class and extra-credit effort in response to performance feedback. Academy of Management Learning & Education, 9(1), 81–97
Lukaitis, A., & Davey, B. (2009). Capturing the mature traveler: Assessing web first impressions. Issues in Informing Science and Information Technology, 6, 845–853CrossRef
Lund, F. (1925). The psychology of belief IV: The law of primacy in persuasion. Journal of Abnormal and Social Psychology, 20, 183–191
McGill, T. J., & Hobbs, V. J. (2008). How students and instructors using a virtual learning environment perceive the fit between technology and task. Journal of Computer Assisted Learning, 24(3), 191–202CrossRef
McGill, T. J., & Klobas, J. E. (2009). A task-technology fit view of learning management system impact. Computers & Education, 52(2), 496–508CrossRef
McLinden, D. J., Davis, M. J., & Sheriff, D. E. (1993). Impact on financial productivity: A study of training effects on consulting services. Human Resource Development Quarterly, 4(4), 367–375CrossRef
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108, 1017–1054CrossRef
Myers, S., & Huebner, A. (2011). The relationship between students’ motives to communicate with their instructors and perceived instructor credibility, attractiveness, and homophily. College Student Journal, 45, 84–91
Nguyen, Q., Rienties, B., Toetenel, L., Ferguson, R., & Whitelock, D. (2017). Examining the designs of computer-based assessment and its impact on student engagement, satisfaction, and pass rates. Computers in Human Behavior, 76, 703–724CrossRef
Obermiller, C., Ruppert, B., & Atwood, A. (2012). Instructor credibility across disciplines: Identifying students’ differentiated expectations of instructor behaviors. Business Communication Quarterly, 75(2), 153–165CrossRef
Olsson, J., & Granberg, C. (2019). Dynamic software, task solving with or without guidelines, and learning outcomes. Technology, knowledge and learning, 24(3), 419–436CrossRef
Posselt, T., & Gerstner, E. (2005). Pre-sale vs post-sale e-satisfaction: impact on repurchase intention and overall satisfaction. Journal of Interactive Marketing, 19(4), 3547CrossRef
Proserpio, L., & Gioia, D. A. (2007). Teaching the virtual generation. Academy of Management Learning & Education, 6(1), 69–80CrossRef
Puhala, J. J. (2020). Changing classroom practice: Elementary teacher experiences of a PROFESSIONAL DEVELOPMENT PROGRAM. Technology, Knowledge and Learning, 25(1), 129–147CrossRef
Ruppert, B., & Green, D. A. (2012). Practicing what we teach: credibility and alignment in the business communication classroom. Business Communication Quarterly, 75(1), 2944CrossRef
Sanchez-Franco, M. J., & Roldan, J. L. (2010). Expressive aesthetics to ease perceived community support: Exploring personal innovativeness and routinised behaviour as moderators in Tuenti. Computers in Human Behavior, 26(6), 1445–1457CrossRef
Schmitt, L., Currie, G., & Delbosc, A. (2015). Lost in transit? Unfamiliar public transport travel explored using a journey planner web survey. Transportation, 42(1), 101–122CrossRef
Shieh, R. S., & Chang, W. (2013). Implementing the interactive response system in a high school physics context: Intervention and reflections. Australasian Journal of Educational Technology, 29(5), 748–761CrossRef
Shonfeld, M., & Magen-Nagar, N. (2017). The impact of an online collaborative program on intrinsic motivation, satisfaction and attitudes towards technology. (pp. 1–17). Technology.
Stec, M., Smith, C., & Jacox, E. (2019). Technology enhanced teaching and learning: Exploration of faculty adaptation to iPad delivered curriculum. (pp. 1–15). Technology.
Sun, J. (2016). Multi-dimensional alignment between online instruction and course technology: A learner-centered perspective. Computers & Education, 101, 102–114CrossRef
Sun, J. C. Y., & Chen, A. Y. Z. (2016). Effects of integrating dynamic concept maps with Interactive response system on elementary school students’ motivation and learning outcome: The case of anti-phishing education. Computers & Education, 102, 117–127CrossRef
Teven, J., & McCroskey, J. (1997). The relationship of perceived teacher caring with student learning and teacher evaluation. Communication Education, 46, 1–9CrossRef
Wang, Y. H. (2017). The effectiveness of using cloud-based cross-device IRS to support classical Chinese learning. Educational Technology & Society, 20(2), 127–141
Weick, K. E. (1995). Sensemaking in organizations. Thousand Oaks. Sage Publications.
Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221–232CrossRef
Wu, Y. C., Wu, T., & Li, Y. (2017). Impact of using classroom response systems on students’ entrepreneurship learning experience. Computers in Human Behavior, in press, pp. 1–12.
Metadata
Title
Examining the Primacy and Recency Effect on Learning Effectiveness with the Application of Interactive Response Systems (Irs)
Authors
Ying-Jung Yvonne Yeh
Min-Hung Chen
Publication date
05-05-2021
Publisher
Springer Netherlands
Published in
Technology, Knowledge and Learning / Issue 3/2022
Print ISSN: 2211-1662
Electronic ISSN: 2211-1670
DOI
https://doi.org/10.1007/s10758-021-09521-6

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