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To Clarity and Beyond: Situating Higher-Order, Critical, and Critical-Analytic Thinking in the Literature on Learning from Multiple Texts

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Abstract

For this systematic review, learning from multiple texts served as the specific context for investigating the constructs of higher-order (HOT), critical (CT), and critical-analytic (CAT) thinking. Examining the manifestations of HOT, CT, and CAT within the specific context of learning from multiple texts allowed us to clarify and disentangle these valued modes of thought. We begin by identifying the mental activities underlying the processes and outcomes of learning from multiple texts. We then juxtapose these mental activities with definitions of HOT, CT, and CAT drawn from the literature. Through this juxtaposition, we define HOT as multi-componential, including evaluation; CT as requiring both evaluation and its justification or substantiation; and CAT as considering the extent to which evaluation and justification may be consistently and systematically applied. We further generate a number of insights, described in the final section of this article. These include the frequent manifestations of HOT, CT, and CAT within the context of students learning from multiple texts and the co-occurring demand for these valued modes of thinking. We propose an additional mode of valued thought, that we refer to as devising, when learners synthetically and systematically use knowledge and strategies gained within one multiple text learning situation to produce an original product or solution in another novel learning situation. We consider such devising to demand HOT, CT, and CAT.

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Data Availability

Data available upon request.

Notes

  1. Although comprehension has been referred to as the result of both bottom-up (or passive) and top-down (i.e., purposeful and active) knowledge activation processes (Kurby et al., 2005; Wolfe & Goldman, 2005), we refer here to top-down processes or students’ deliberate engagement of prior knowledge, as reflective of HOT (Richter & Maier, 2017).

  2. Bloom et al. (1956), in their original introduction of this taxonomy, did not refer to higher vis-à-vis lower levels.

  3. This study was beyond the scope of our review as it was a dissertation; however, serves as an illustrative example here.

  4. The multiple text literature can also benefit from considering objectives specified within Marzano and Kendall (2008) self-system. These include asking students to consider the importance of tasks to them, their efficacy for task completion, emotional responses to tasks or texts, as well as overall motivation. As suggested by a recent review from Anmarkrud et al. (2021), rarely have these self-system components been examined in the literature on learning from multiple texts, with interest constituting the motivational construct most analyzed. Recent work has started to look at the role of epistemic emotions in learning from multiple texts (Danielson et al., 2022; Muis et al., 2015).

  5. This paper was excluded from our review as it did not have a learning outcome.

  6. Kammerer et al. (2013) were unique in asking students to apprise their certainty in a solution to a medical controversy, described across multiple texts. We considered students’ certainty appraisals to reflect metacognition; however this was a mental activity not included among the multiple text outcomes we coded for (i.e., and was placed into the Other category), as Kammerer et al. (2013) were unique in including this as an assessment.

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Appendices

Appendix 1

Table 5 Descriptive information for studies included in our review

5.

Appendix 2. Literature search and screening process

Literature Search

We conducted keyword searches in the PsycINFO and Educational Resources Information Center (ERIC) databases. We restricted the searches to empirical, quantitative studies published in peer-reviewed, English-language journals. To capture examinations of HOT, CT, and CAT within the multiple text literature, we combined two sets of search terms. The first set included keywords or phrases for multiple text research, such as “multiple source*”, “multiple text*”, “multiple document*”, “intertext*”, “conflicting texts”, “complementary texts”, and “information problem solving”. In the second set, we selected a range of keywords and phrases pertaining to HOT, CT, and CAT. These included broader terms such as “higher order thinking”, “critical thinking”, “critical analytic*”, “reasoning”, “metacognit*”, as well as more specific cognitive processes relevant for multiple text learning that potentially manifest HOT, CT, or CAT, such as “integrat*”, “synthes*”, “analys*”, “corroborat*”, “validat*”, “evaluat*”, “justif*”, “sourcing”, “argument*”, and “refutation*”. A full list of search terms is as follows:

(multiple source* OR multiple text* OR multiple document* OR intertext* OR conflicting information OR conflicting views OR conflicting texts OR conflicting sources OR complementary text* OR information problem solving) AND (higher order thinking OR critical thinking OR critical analytic OR metacogni* OR analys* OR analytical OR reasoning OR analog* OR refutation* OR integrat* OR synthes* OR corroborat* OR argument* OR validat* OR justif* OR evaluat* OR sourcing)

These initial searches yielded 1814 non-duplicate records. We narrowed down this initial pool by applying research area classification filters to constrain the literature to areas more relevant for educational and academic contexts (e.g., curriculum & programs & teaching methods, academic learning & achievement, cognitive processes, educational psychology, human experimental psychology, learning and memory). The remaining 482 records after this narrowing were then subject to title and abstract screening.

Title and Abstract Screening

We screened the titles and abstracts based on the following inclusion criteria: The study (a) involved a main task that required reading two or more texts, and (b) was conducted in an educational or academically relevant context. (c) The participants were proficient in the language in which the task was conducted, and (d) had no psychological, physiological, or neurological disorders or disabilities that could affect their text processing. This screening left us with 161 records.

Additional Searches

From these 161 records, we identified authors with five or more included articles on multiple text learning and journals that published five or more included articles. We then did a physical search of additional studies by going through these authors’ Google Scholar pages and the tables of contents of the selected journals in the last five years. We also identified additional relevant studies from the works referenced in these remaining studies following a backward snowballing procedure. These additional searches led us to another 30 non-duplicate records, making for a total of 191 records assessed in full-text form for eligibility.

Full-Text Assessment

As we read the full texts of these remaining 191 articles, we ensured the studies met the following eligibility criteria: (a) The multiple-text task was completed by participants independently rather than as a collaborative group activity; (b) The study included at least one process measure, that was not a self-report strategy question, and (c) one (non-self-report) outcome measure that assessed some form of higher-order cognition potentially reflective of HOT, CT, or CAT. Studies employing self-report questionnaire measures, to capture process data, were only included if these also used other forms of process or outcome measures (e.g., think-alouds, eye-tracking). This left us with a final set of 54 records, with 57 studies eligible for the systematic review.

Appendix 3. Coding for processes and outcomes of multiple text learning

Table 6 Process coding

6 

Table 7 Outcome coding

7.

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List, A., Sun, Y. To Clarity and Beyond: Situating Higher-Order, Critical, and Critical-Analytic Thinking in the Literature on Learning from Multiple Texts. Educ Psychol Rev 35, 40 (2023). https://doi.org/10.1007/s10648-023-09756-y

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