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Validation of newly developed tasks for the assessment of generic Critical Online Reasoning (COR) of university students and graduates
Abstract
In recent decades, the acquisition of information has evolved substantially and fundamentally affects students’ use of information, so that the Internet has become one of the most important sources of information for learning. However, learning with freely accessible online resources also poses challenges, such as vast amounts of partially unstructured, untrustworthy, or biased information. To successfully learn by using the Internet, students therefore require specific skills for selecting, processing, and evaluating the online information, e.g., to distinguish trustworthy from distorted or biased information and for judging its relevance with regard to the topic and task at hand. Despite the central importance of these skills, their assessment in higher education is still an emerging field. In this paper, we present the newly defined theoretical-conceptual framework Critical Online Reasoning (COR). Based on this framework, a corresponding performance assessment, Critical Online Reasoning Assessment (CORA), was newly developed and underwent first steps of validation in accordance with the Standards for Educational and Psychological Testing. We first provide an overview of the previous validation results and then expand them by including further analyses of the validity aspects “internal test structure” and “relations with other variables”. To investigate the internal test structure, we conducted variance component analyses based on the generalizability theory with a sample of 125 students and investigated the relations with other variables by means of correlation analyses. The results show correlations with external criteria as expected and confirm that the CORA scores reflect the different test performances of the participants and are not significantly biased by modalities of the assessment. With these new analyses, this study substantially contributes to previous research by providing comprehensive evidence for the validity of this new performance assessment that validly assesses the complex multifaceted construct of critical online reasoning among university students and graduates. CORA results provide unique insights into the interplay between features of online information acquisition and processing, learning environments, and the cognitive and metacognitive requirements for critically reasoning from online information in university students and young professionals.
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“Studies assessing critical online reasoning show that even academically successful students often rely on superficial cues (e.g., familiarity or accessibility) rather than systematic evaluation strategies when navigating open-web information (Molerov et al., 2020; Nagel et al., 2022).”
From Information competence and critical thinking in digital environments evidence from university students in Kazakhstan (2026) · cites this paper as Nagel et al., 2022
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THEORY OF GENERALIZABILITY: A LIBERALIZATION OF RELIABILITY THEORY†
Cronbach, L. J., Rajaratnam, N., & Gleser, G. C. (1963) · British Journal of Statistical Psychology · doi:10.1111/j.2044-8317.1963.tb00206.x · Cited by 737 · cited 1×
“Generalizability Theory distinguishes between different components of the assessment, so-called facets, which can exert an influence on the test scores both individually and in interaction (Cronbach et al., 1963).”
BackgroundCan Students Evaluate Online Sources? Learning From Assessments of Civic Online Reasoning
McGrew, S., Breakstone, J., Ortega, T., Smith, M., & Wineburg, S. (2018) · Theory & Research in Social Education · doi:10.1080/00933104.2017.1416320 · Cited by 533
Wineburg, S., & McGrew, S. (2019) · Teachers College Record: The Voice of Scholarship in Education · doi:10.1177/016146811912101102 · Cited by 394 · cited 1×
“-centric civic interest and to justify their judgment, also citing web sources as evidence (Wineburg and McGrew, 2019).”
BackgroundSiddiq, F., Hatlevik, O. E., Olsen, R. V., Throndsen, I., & Scherer, R. (2016) · Educational Research Review · doi:10.1016/j.edurev.2016.05.002 · Cited by 269 · cited 1×
“…et al., 2012; Sanders et al., 2015; Walton et al., 2020), and computer literacies [e.g., information and communication technology (ICT) literacy, computer and information literacy (CIL); Siddiq et al., 2016; Makhmudov et al., 2020; see also, e.g., studies on multimedia learning, Mayer, 2009].”
BackgroundStudents’ Civic Online Reasoning: A National Portrait
Breakstone, J., Smith, M., Wineburg, S., Rapaport, A., Carle, J., Garland, M., & Saavedra, A. (2021) · Educational Researcher · doi:10.3102/0013189x211017495 · Cited by 267 · cited 2×
“No differences in COR-related abilities were found in previous studies with respect to gender (Breakstone et al., 2021).”
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Research works printed but not linked: 73
- 2014, Standards for Educational and Psychological Testing
- Ali, 2020, Online and remote learning in higher education institutes: a necessity in light of COVID-19 pandemic, High. Educ. Stud., 10, 16, 10.5539/hes.v10n3p16 · DOI · Paper page
- Aspegren, 2005, Which basic communication skills in medicine are learnt spontaneously and which need to be taught and trained?, Med. Teach., 27, 539, 10.1080/01421590500136501 · DOI
- Banerjee, 2020, Narratives and their impact on students’ information seeking and critical online reasoning in higher education economics and medicine, Front. Educ., 5, 570625, 10.3389/feduc.2020.570625 · DOI
- Bates, 2015, Fitting linear mixed-effects models using lme4, J. Stat. Softw., 67, 1, 10.18637/jss.v067.i01 · DOI · Paper page
- Binkley, 2012, Defining twenty-first century skills, 17, 10.1007/978-94-007-2324-5_2 · DOI · Paper page
- Boh Podgornik, 2016, Development, testing, and validation of an information literacy test (ILT) for higher education, J. Assoc. Inf. Sci. Technol., 67, 2420, 10.1002/asi.23586 · DOI
- Braasch, 2018, Handbook of Multiple Source Use, 10.4324/9781315627496 · DOI
- Brand-Gruwel, 2009, A descriptive model of information problem solving while using internet, Comput. Educ., 53, 1207, 10.1016/j.compedu.2009.06.004 · DOI
- Braun, 2021, Performance-based assessment of students’ communication skills, Int. J. Chin. Educ., 10, 221258682110062, 10.1177/22125868211006202 · DOI
- Braun, 2018, Erfassung praxisbezogener Anforderungen und Tätigkeiten von Hochschulabsolvent(inn)en (PAnTHoa), Zeitschrift für Hochschulentwicklung, 209, 10.3217/zfhe-13-01/11 · DOI
- Braun, 2020, Performance assessment of critical thinking: conceptualization, design, and implementation, Front. Educ., 5, 156, 10.3389/feduc.2020.00156 · DOI
- Campbell, 1959, Convergent and discriminant validation by the multitrait-multimethod matrix, Psychol. Bull., 56, 81, 10.1037/h0046016 · DOI · Paper page
- Chan, 2017, A review of literature on challenges in the development and implementation of generic competencies in higher education curriculum, Int. J. Educ. Dev., 57, 1, 10.1016/j.ijedudev.2017.08.010 · DOI
- Ciampaglia, 2018, The digital misinformation pipeline–proposal for a research agenda, 413
- Cronbach, 1972, The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles
- Desai, 2019, Comparing the use of open and closed questions for web-based measures of the continued-influence effect, Behav. Res. Methods, 51, 1426, 10.3758/s13428-018-1066-z · DOI
- Flanagin, 2017, Digital Media and Perceptions of Source Credibility in Political Communication. The Oxford Handbook of Political Communication
- Goldhammer, 2013, Assessing individual differences in basic computer skills, Eur. J. Psychol. Assess., 29, 263, 10.1027/1015-5759/a000153 · DOI
- Goldman, 2018, Learning from multiple sources in a digital society, 86, 10.4324/9781315617572-9 · DOI
- Guath, 2022, Civic online reasoning among adults: an empirical evaluation of a prescriptive theory and its correlates, Front. Educ., 7, 721731, 10.3389/feduc.2022.721731 · DOI
- Hahnel, 2019, The role of cognitive load in university students’ comprehension of multiple documents, Zeitschrift für pädagogische Psychologie, 33, 105, 10.1024/1010-0652/a000238 · DOI
- Harrison, 2019, Experts, knowledge and criticality in the age of ‘alternative facts’: reexamining the contribution of higher education, Teach. High. Educ., 24, 259, 10.1080/13562517.2019.1578577 · DOI
- Herrero-Diz, 2019, The credibility of online news: an evaluation of the information by university students, Cult. Educ., 31, 407, 10.1080/11356405.2019.1601937 · DOI
- Huang, 2019, Exploring patterns in undergraduate students’ information problem solving: a cross-case comparison study, Knowledge Manag. E-Learn., 11, 428, 10.34105/j.kmel.2019.11.023 · DOI
- Jiang, 2018, Using the linear mixed-effect model framework to estimate generalizability variance components in R, Methodology, 14, 133, 10.1027/1614-2241/a000149 · DOI
- Johnson, 2016, Students’ approaches to the evaluation of digital information: insights from their trust judgments, Br. J. Educ. Technol., 47, 1243, 10.1111/bjet.12306 · DOI
- Koltay, 2011, The media and the literacies: media literacy, information literacy, digital literacy, Media Cult. Soc., 33, 211, 10.1177/0163443710393382 · DOI
- Korn, 2004, Teaching talking: Oral communication skills in a Law course, J. Leg. Educ., 54, 588
- Ku, 2009, Assessing students’ critical thinking performance: urging for measurements using multi-response format, Think. Skills Creat., 4, 70, 10.1016/j.tsc.2009.02.001 · DOI
- Leeder, 2019, How college students evaluate and share “fake news” stories, Libr. Inf. Sci. Res., 41, 100967, 10.1016/j.lisr.2019.100967 · DOI
- Leighton, 2017, Using Think-Aloud Interviews and Cognitive Labs in Educational Research, 10.1093/acprof:oso/9780199372904.001.0001 · DOI
- Limberg, 2012, Three theoretical perspectives on information literacy, Hum. IT, 11, 93
- Liu, 2014, Assessing critical thinking in higher education: current state and directions for next-generation assessment, ETS Res. Rep. Ser., 2014, 1, 10.1002/ets2.12009 · DOI · Paper page
- Maurer, 2018, Media effects on positive and negative learning, 197
- Maurer, 2020, Positive and negative media effects on university students’ learning: Preliminary findings and a research program, 109
- Mayer, 2009, Multimedia Learning, 10.1017/CBO9780511811678 · DOI · Paper page
- McGrew, 2017, The challenge that’s bigger than fake news. Civic reasoning in a social media environment, Am. Educ., 41, 4
- Mislevy, 2017, Sociocognitive Foundations of Educational Measurement
- Mislevy, 2012, Design and discovery in educational assessment: Evidence-centered design, psychometrics, and educational data mining, Journal of Educational Data Mining, 4, 11
- Molerov, 2020, Assessing university students’ critical online reasoning ability: a conceptual and assessment framework with preliminary evidence, Front. Educ., 5, 577843, 10.3389/feduc.2020.577843 · DOI · Paper page
- Nagel, 2020, How do University students’ web search behavior, website characteristics, and the interaction of Both influence students’ critical online reasoning?, Front. Educ., 5, 565062, 10.3389/feduc.2020.565062 · DOI
- 2012, Education for Life and Work: Developing Transferable Knowledge and Skills in the 21st Century
- Naumann, 2001, Validierung des INCOBI anhand eines Vergleichs von Anwendungsexperten und Anwendungsnovizen, Zeitschrift für Pädagogische Psychologie, 15, 219, 10.1024//1010-0652.15.34.219 · DOI
- Nygren, 2020, Students evaluating and corroborating digital news, Scand. J. Educ. Res., 66, 549, 10.1080/00313831.2021.1897876 · DOI
- Osborne, 2022, Science Education in an Age of Misinformation
- Oser, 2020, A three-level model for critical thinking: Critical alertness, critical reflection, and critical analysis, 89
- Park, 2021, A Scientometric study of digital literacy, ICT literacy, information literacy, and media literacy, J. Data Info. Sci., 6, 116, 10.2478/jdis-2021-0001 · DOI
- Qiu, 2017, Limited individual attention and online virality of low-quality information, Nat. Hum. Behav., 1, 1, 10.1038/s41562-017-0132 · DOI
- Rammstedt, 2013, Grundlegende Kompetenzen Erwachsener im internationalen Vergleich: Ergebnisse von PIAAC 2012
- Reddy, 2020, Digital literacy: a review of literature, Int. J. Technoethics, 11, 65, 10.4018/IJT.20200701.oa1 · DOI · Paper page
- Rowley, 2015, Students’ trust judgements in online health information seeking, Health Informatics J., 21, 316, 10.1177/1460458214546772 · DOI
- Sanders, 2015, Information behaviors and information literacy skills of LIS students: an international perspective, J. Educ. Libr. Inf. Sci., 56, 80, 10.12783/issn.2328-2967/56/S1/9 · DOI
- Schlebusch, 2018, Computer anxiety, computer self-efficacy and attitudes toward the internet of first year students at a south African University of Technology, Africa Educ. Rev., 15, 72, 10.1080/18146627.2017.1341291 · DOI
- Schmidt, 2020, Undergraduate students’ critical online reasoning: process mining analysis, Front. Psychol., 11, 576273, 10.3389/fpsyg.2020.576273 · DOI
- Selwyn, 2016, Students’ use of Wikipedia as an academic resource—patterns of use and perceptions of usefulness, Internet High. Educ., 28, 28, 10.1016/j.iheduc.2015.08.004 · DOI
- Sendurur, 2018, Students as information consumers: a focus on online decision making process, Educ. Inf. Technol., 23, 3007, 10.1007/s10639-018-9756-9 · DOI
- Shavelson, 1981, Generalizability theory: 1973–1980, Br. J. Math. Stat. Psychol., 34, 133, 10.1111/j.2044-8317.1981.tb00625.x · DOI
- Shavelson, 1989, Generalizability theory, American Psychologist, 44, 922, 10.1037/0003-066X.44.6.922 · DOI
- Shavelson, 2019, Assessment of university students’ critical thinking: next generation performance assessment, Int. J. Test., 19, 337, 10.1080/15305058.2018.1543309 · DOI
- Shavelson, 2018, International Performance Assessment of Learning in Higher Education (iPAL): Research and Development, Assessment of Learning Outcomes in Higher Education: Cross-National Comparisons and Perspectives, 193, 10.1007/978-3-319-74338-7_10 · DOI
- Solano-Flores, 2020, Boolean analysis of Interobserver agreement: formal and functional evidence sampling in complex coding endeavors, Educ. Meas. Issues Pract., 40, 26, 10.1111/emip.12409 · DOI
- 2021, Stata Statistical Software: Release 17
- Virtanen, 2018, Factors explaining the learning of generic skills: a study of university students’ experiences, Teaching in Higher Education, 24, 880, 10.1080/13562517.2018.1515195 · DOI
- Walton, 2020, Information literacy and the societal imperative of information discernment, 149
- Wathen, 2001, Believe it or not: factors influencing credibility on the web, J. Am. Soc. Inf. Sci. Technol., 53, 134, 10.1002/asi.10016 · DOI
- Weber, 2019, Information-seeking behaviour and academic success in higher education: which search strategies matter for grade differences among university students and how does this relevance differ by field of study?, High. Educ., 77, 657, 10.1007/s10734-018-0296-4 · DOI
- Whitelock-Wainwright, 2020, Exploring student information problem solving behaviour using fine-grained concept map and search tool data, Comput. Educ., 145, 103731, 10.1016/j.compedu.2019.103731 · DOI
- Wineburg, 2018, Why Google can’t save us. The challenges of our post-Gutenberg moment, 221
- Wineburg, 2016, Why students can’t google their way to the truth: fact-checkers and students approach websites differently, Educ. Week, 36, 22
- Zieky, 2014, An introduction to the use of evidence-centered design in test development, Psicol. Educ., 20, 79, 10.1016/j.pse.2014.11.003 · DOI
- Zlatkin-Troitschanskaia, Performance assessment and digital training framework for young professionals’ generic and domain-specific online reasoning in law, medicine, and teacher practice, J. Supranat. Pol. Educ., 13, 9, 10.15366/jospoe2021.13.001 · DOI
- Zlatkin-Troitschanskaia, Students’ online information use and learning progress in higher education – a critical literature review, Stud. High. Educ., 46, 1996, 10.1080/03075079.2021.1953336 · DOI
Cited by
Sorted by citations
Yrymbayeva, N., Yermekova, M., Tezekova, O., Issatayeva, B., Zhubandykova, A., & Tuxanbayev, A. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1809360 · Cited by 2
Metadata
- Authors
- Nagel, M.-T., Zlatkin-Troitschanskaia, O., & Fischer, J.
- Venue
- Frontiers in Education
- Publisher
- Frontiers Media SA
- Published
- 2022-11-07
- Volume
- 7
- ISSN
- 2504-284X
- Cited by
- 27
- References
- 5
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