According to Kintsch, During Reading, Working Memory Temporarily Stores ____.

Introduction

In today's education, reading digital texts is a common practice and hypertexts supersede traditional linear printed texts in many learning contexts. Moreover, reading is ane of the almost central tasks while engaging the web. Yet, Wastlund et al. (2005) showed junior operation when reading from screen compared to when reading a paper presentation of the same text. They argued that participants experienced higher cognitive workload when reading from screen and this college cerebral load requires more cognitive resources and is, therefore, physically and mentally more than exhausting than reading on paper. Furthermore, in his comprehensive review of the available literature Dillon (1992) ended, that reading speeds for hypertexts are reduced compared to print media and comprehension accuracy is lower, particularly for cognitively demanding reading tasks (Dillon, 1992). It seems that reading hypertext places different demands on the cognitive system and might, therefore, affect text comprehension in a different manner.

An important gene for text comprehension is the text difficulty. Most research on reading comprehension has focussed on processes of constructing a mental representation of a text. A recent study varied text difficulty by simplifying syntactic structures of sentences and substituting low-frequency words with high-frequency words (Feng et al., 2013, p. 588) in iv out of eight passages (each passage ~250 words long) from the Nelson Denny Reading comprehension examination (Brown et al., 1981). Participants had to read either an easy or difficult version of the aforementioned passages. After reading each of the passages, they answered comprehension questions exhibiting poorer performance in the difficult rather than the piece of cake condition. Feng et al. (2013) argued that reading difficult texts makes it more than enervating to construct a situation model of the text. Therefore, in the present report, we directly operationalize text difficulty every bit the difficulty amalgam a situation model from the text. Contemporary theories of text comprehension acknowledge multiple levels of text representations (Kintsch and Van Dijk, 1978; Graesser and McNamara, 2011). According to the model proposed by Kintsch and Van Dijk (1978), in that location are three levels of representation during reading. The starting time level is the surface representation, consisting of the texts literal wording. In this level, readers do not necessarily understand the significant of a text and have to syntactically process the information offset. The 2nd level is the textbase level, in which the pregnant of the text is represented as a network of concepts and propositions of the text. In this second level, readers actuate the meaning of the text and expand the knowledge about explicit information from the text like grammar or syntax into the textbase level. The third level is the situation model. This model arises when textbase elements are combined with elements from the readers' general cognition.

It has been suggested that text cohesion represents an essential gene for successful comprehension (Kintsch and Van Dijk, 1978). Halliday and Hasan (1976, p. 4) defined text cohesion every bit "relations of meaning that exist within the text, and that ascertain it every bit a text." Text cohesion tin can be divided into (i) local cohesion, which refers to the interrelation between smaller chunks of a text or at the sentence level and (2) global cohesion, which refers to larger chunks of a text such as paragraphs. Text cohesion has as well been establish to be an important factor contributing to text comprehension (Ozuru et al., 2009). When reading a highly cohesive text, the majority of data to maintain text coherence is provided past the text itself. Less cohesive texts take simply few or no connections between ideas in a given text, why readers are confronted with cohesion gaps. To bridge cohesion gaps with inferences, relevant prior knowledge is necessary, especially when text cohesion is depression (McNamara et al., 1996; Vocalist and Ritchot, 1996; McNamara, 2001). Prior knowledge and data provided by the electric current text are combined to construct a situation model of the text content, which is necessary for comprehension. The more prior cognition a reader has, the improve the text volition be comprehended.

In addition to the relationship between text cohesion and comprehension, studies showed that increasing the cohesion of a text facilitates and improves text comprehension in different manner across readers with different caste of prior knowledge (McNamara et al., 1996; Graesser and McNamara, 2011). In 2 experiments, the function of text cohesion in the comprehension of biology texts was investigated (McNamara et al., 1996). Students were asked to read science texts and reply comprehension questions via free recall, written questions and key-word sorting tasks. Text cohesion was manipulated by calculation or deleting cohesive cues to create loftier- and low-cohesive versions of each text without the modification of the text content. For the loftier-cohesive version several local and global cohesive devices were used: (one) replacing pronouns with substantive phrases when the referent was ambiguous; (2) calculation descriptive elaborations to link unfamiliar concepts with familiar ones; (3) adding sentence connectives to specify the relations between ideas; (4) replacing words to increase argument overlap; (v) calculation topic headers; and (half-dozen) adding topic sentences to link each paragraph to the rest of the text and to the overall topic. Results indicated that readers who know little near the domain of the text benefited from high-cohesive text, whereas high-knowledge readers benefited from low-cohesive texts (contrary cohesion effect). High-cohesive texts help low-knowledge readers to bridge gaps in their background cognition. In contrast, high-cognition readers gained from depression-cohesive texts because beingness induced in the generation of inferences resulted in a better text comprehension (McNamara et al., 1996). Crucially, individual differences in the power to activate and employ this existing groundwork knowledge can deed as mediators in the relationship between prior knowledge and reading comprehension (Woltz and Was, 2007).

Some other factor influencing reading comprehension are individual differences in basic processing characteristics every bit east.g., the working memory capacity (WMC). In the study of Daneman and Carpenter (1980), participants performed a reading span job, a simple word span task, and a reading comprehension task. In the reading span task, participants had to read a series of sentences aloud and recall the last word of each sentence to measure WMC. The maximum number of concluding words that an individual could call up in correct serial gild under these conditions was taken as their working retention bridge. In the discussion span task, participants had to recall sets of private words. In the reading comprehension job, participants were given a series of passages to read silently and in the end of each passage, they were asked to answer questions about it. The results of the study indicated that low reading comprehension was related to a depression WMC and that lower WMC readers have not every bit much chapters to integrate information from the text into a working mental model. On the other side, participants who scored a high WMC kept more than information in their memory.

A further factor influencing the efficiency of reading is related to the strength of participants' attention allocation on the text past itself. This phenomenon is known as mind wandering, which means that subjects' attending may drift away from a primary task to job unrelated thoughts (TUTs) and this may occur besides when reading texts (Smallwood and Schooler, 2006). Schooler et al. (2004) assessed that ~23% of the time spent reading involves mind wandering. Many prior studies investigated the furnishings of heed wandering on reading comprehension performance by using the idea probe method to measure the frequency of mind wandering (east.g., Schooler et al., 2004; Smallwood, 2011; McVay and Kane, 2012b; Risko et al., 2012; Feng et al., 2013). Schooler et al. (2004) showed that participants, who read selections from War and Peace and completed a comprehension exam after reading, exhibited lower comprehension of the text when they reported more mind wandering. As a first influential factor on mind wandering, Smallwood et al. (2009) found that experience with the topic read (prior cognition) influenced TUTs during reading. To mensurate topic experience participants were asked to signal how far they had studied the topic subjects (biology, physics, and chemistry) in school. Participants and so performed attentional and reading tasks and were asked about the temporal orientation of their listen wandering episodes. One issue was that the factor topic experience influenced the temporal focus of listen wandering. Especially for students with low involvement in the topic, low experience with the topic was related to a prospective focus to TUTs, while high experience with the topic led them to hindsight (Smallwood et al., 2009).

In addition to prior knowledge, greater text difficulty has also been establish to increment the caste of mind wandering (Feng et al., 2013; Mills et al., 2015). Feng et al. (2013) manipulated text difficulty by varying syntactic complexity. They administered 27 or 28 idea probes (depending on whether the even or the odd numbered passages constitute the easy condition). On the presentation of these idea probes, participants should indicate, if they were mind wandering during reading. The results showed that text difficulty positively correlated with the amount of mind wandering. Mind wandering non only occurred more frequently in difficult than in easy text conditions, simply had a greater negative impact on performance in the difficult condition. Moreover, Mills et al. (2015) manipulated text difficulty through variations of surface (eastward.g., sentence length) and deep features (due east.g., narrative structure) of sub-sections of the text. They found that participants significantly mind wandered more oft while reading difficult sections rather than easy sections of the text.

Furthermore, recent research identified WMC as a further predictor for the occurrence of TUTs in cognitively enervating tasks like reading (McVay and Kane, 2012a,b; McVay et al., 2013). Unsworth and McMillan (2013) showed that WMC was negatively correlated to mind wandering during reading and participants with lower WMC tended to mind wander more than participants with college WMC. Similarly, McVay and Kane (2012a,b) reported that participants with greater WMC reported fewer TUTs across several reading tasks. They argued that these participants accept greater power to suit their attention to the task demands than individuals with low WMC and this may crusade that participants with lower WMC may endure from comprehension failures when creating a mental text representation. The significant indirect issue of WMC on reading comprehension through TUTs indicated that participants with lower WMC had more TUTs and, therefore, showed poorer reading comprehension performance (McVay and Kane, 2012b).

In order to better understand the relationship between mind wandering and attentional processes, two perspectives accept been proposed (Smallwood and Schooler, 2006; McVay and Kane, 2010). First, the resource-need theory (Smallwood and Schooler, 2006) assumes that mind wandering consumes executive resources that compete with the chief job and thus attention is drawn abroad from the primary external task and is directed toward job independent internally generated content. In support of this view, an inverse relation between mind wandering and reading comprehension has been reported (Smallwood et al., 2008). The authors plant that readers who heed wandered during reading were less likely to generate the situation model during reading and were, thus, less able to make inferences necessary for comprehension. They argued that when heed wandering occurs frequently during reading, the text is insufficiently candy to produce a correct situation model. In a similar vein, Feng et al. (2013) as well argued that the successful structure of a situation model requires attentional resources and can, therefore, suppress off-task thoughts that are competing for attention. Moreover, both posit that during reading difficult texts, when participants are less successful in the construction of appropriate state of affairs models of the text they are engaging less attentional resources, which consequently can lead to more off-job thoughts and increase the extent of mind wandering (Smallwood et al., 2008; Feng et al., 2013). With regards to working memory, this view predicts a positive relation between WMC and mind wandering—high capacity readers should have enough resources to engage in off-task thoughts without compromising reading comprehension.

2nd, the and then-called executive control-failure hypothesis (McVay and Kane, 2010) postulates that executive command capabilities prevents listen wandering by keeping the attention on the primary task and suppressing interference from rather spontaneously occurring TUTs that are probably triggered past (personally relevant) ecology cues (cf., Rummel and Boywitt, 2014). When executive control fails, attention is distracted from the primary chore to these TUTs causing listen wandering, without consuming executive resource. This view is supported by numerous findings indicating that high-WMC individuals were less engaging in mind wandering than depression-WMC individuals. Every bit WMC reflects attention-control abilities (e.thou., Kane and Engle, 2003) individuals with high WMC have more costless attentional control resources to maintain their focus on the master chore and supress TUTs. Extending this view, Rummel and Boywitt (2014) compared the relationship between WMC and mind wandering in a relatively non-demanding task (1-back) vs. a more than demanding version of the aforementioned job (3-back) and found a negative relationship between WMC and mind wandering during the more difficult 3-dorsum chore and a positive relation betwixt WMC and heed wandering during the easier i-back task. Based on these results they postulated the so-called cerebral-flexibility hypothesis assuming that the relationship between WMC and mind wandering is dependent on job demands (Rummel and Boywitt, 2014). In more detail, high-WMC individuals appoint in TUTs when task demands are low but reduce TUTs in attention-demanding tasks when these TUTs are very likely to impede performance on these tasks. However, the authors also report overall more listen wandering in the depression vs. the high demanding chore version thereby contradicting previous results (Smallwood et al., 2008; Feng et al., 2013).

Both views similarly propose that mind wandering affects executive control, but differ in the way mind wandering is related to executive control. While the resource-need theory (Smallwood and Schooler, 2006) assumes that mind wandering requires executive resources and, thus, impedes task performance, the executive-failure hypothesis (McVay and Kane, 2010) and the cognitive-flexibility hypothesis (Rummel and Boywitt, 2014) consider mind wandering every bit a upshot of executive-command failures or adaptation processes.

As outlined above there is a considerable debate about the cerebral mechanisms underlying listen wandering and its effect on reading comprehension. Regarding the influence of text difficulty both major accounts outlined above make similar predictions: more mind wandering should occur during reading hard texts. However, both accounts brand different predictions regarding the effects of prior noesis and WMC on mind wandering. The resource-demand theory (Smallwood and Schooler, 2006) would predict more than heed wandering with college WMC and more prior knowledge while the command-failure hypothesis (Kane et al., 2007; McVay and Kane, 2010) would predict the reverse: less heed wandering with higher WMC and more prior knowledge. Therefore, in the current study we tested these assumptions past investigating the interaction of prior knowledge, WMC, and text difficulty on the amount of mind wandering and on reading comprehension functioning while participants read digital texts. To our knowledge, the combined impact of these factors has not been investigated so far in studies on digital text reading. Furthermore, it is not known yet, how mind wandering affects reading comprehension with regard to the degree of text cohesion. Thus, participants in the electric current study were asked to read a loftier- or a low-cohesive version of an expository text about the re-create correct law, with the goal to answer question about the text afterwards reading. We assessed the occurrence of mind wandering by presenting probes request participants to indicate the occurrence of different types of thoughts during text reading. After text reading, participants answered reading comprehension questions about the text. The aim of the nowadays report is to explore the combined influence of several factors previously shown to touch on mind wandering and reading comprehension. More precisely, we are looking at the interaction of prior knowledge, text difficulty and WMC to inform the current debate surrounding the human relationship between mind wandering and attentional processes. Farther, nosotros investigate if; (i) prior knowledge has an bear on on heed wandering and reading comprehension; and if (two) text difficulty and WMC have an bear on on mind wandering in a high-level cognitive chore such as reading comprehension. In order to investigate the touch on of prior knowledge, we tested mind wandering and the reading operation in 2 groups differing in their legal knowledge. While only students from current law courses created the group of participants with a high amount of prior noesis, students of other subjects created the group of low prior knowledge about re-create right police force. We predicted that a larger corporeality of prior noesis should exist accompanied with less amount of mind wandering and improved reading comprehension compared to less prior knowledge (hypothesis one). Nosotros also hypothesized that reading low-cohesive texts would atomic number 82 to more mind wandering and less degree of reading comprehension (hypothesis 2 and 3). Lastly, we examined potential influencing factors such as reading times and reading comprehension, which we anticipated to influence mind wandering.

Methods

Participants

Participants were xc students (55 participants were women) from a variety of courses at the Martin-Luther-University Halle-Wittenberg, including psychology, folklore, medicine, and history and between the 1st and 14th semester. Out of these thirty participants were police students and were betwixt the tertiary and 14th semester (come across Tabular array i). The sample size was estimated based on effect sizes reported past Forrin et al. (2019) to be approximately Due north = 93 for a between grouping comparison. Due to express availability of participants with prior knowledge (i.e., law students) nosotros were only able to recruit 90 participants. However, this sample size is notwithstanding in accordance with other studies that have used a similar sample size (e.g., Feng et al., 2013). Forty iv participants were in the high-cohesion/piece of cake status, and 46 participants in the low-cohesion/hard condition. All participants were between the ages of 18 and 33 years. The mean historic period of the participants was 23.lxxx years (SD = three.10). Participants received 8 Euro/60 minutes every bit bounty for their time. The mind wandering information of one participant were excluded from the assay because of technical issues during data conquering. Excluding the information of this participant did not bear on the statistical significance of any other results.

Table 1. Sample characteristics.

Materials and Procedure

The entire study took identify over a single one.5 h session. Participants kickoff signed a declaration of informed consent and and so provided demographic data including their gender, age, discipline of study and semester. Secondly, they completed a short examination to assess their content cognition of the content domain. Later on, participants read the hypertext and were thought probed during reading. Immediately after they finished reading, participants answered reading comprehension questions based on the text and solved a retentiveness test. Finally, participants completed two working retention tasks (Ospan and Rspan) to appraise WMC. All procedures followed were conducted in accordance with the guidelines of the World Medical Association Helsinki Declaration of 1975. The procedures have been assessed and take been regarded as low run a risk. Therefore, information technology did not require further ethical review by an ideals committee.

Tasks

Working Memory Capacity Tasks

All participants completed ii complex bridge tasks (performance span and reading span) to appraise private WMC. For each task, participants first completed several practice trials to ensure they understand the job demands and and so completed scored trials. Both tasks were presented using PEBL (Mueller and Piper, 2013). We are aware of an ongoing debate that content-embedded tasks seem amend suited for predicting reading comprehension than the span tasks due to a greater amount of variance in these comprehension tasks compared to complex bridge tasks (Was et al., 2011), simply it was decided to apply circuitous span tasks for the sake of amend comparability with previous studies (eastward.1000., McVay and Kane, 2012b; Unsworth and McMillan, 2013).

Operation Span (Ospan): Participants were presented with simple math operations (e.g., iv-ane = one?) and indicated whether the equation is true or false. After each operation, participants had to memorize an unrelated letter, which appeared for 1 south. After a series of operations and messages to memorize, participants had to recall the letters in the right serial order by clicking the correct messages with a mouse on the computer screen. There were three trials for each list length. Listing length varied betwixt three and vii letters, and the order of the list length varied randomly. Participants get-go practiced the task and participants whose equation verification accuracy was below 85% could non continue the task. I participant was therefore excluded from farther analyses. Items were scored correctly if the item was correct and in the right position. The score was the number of correct items in the right position, and the total possible score was 79. The number of correctly recalled items within each set was converted into a proportion-correct score.

Reading span (Rspan): Participants had to make judgments about the semantic definiteness of a presented sentence (e.k., turtles ride the bike). Later each judgment, a to-exist-remembered single letter of the alphabet appeared for 1 s. Afterward a series of judgements to make and letters to memorize, participants had to recall the messages in the correct serial order by clicking the correct letters. In that location were five trials for each listing length. Listing length varied betwixt three and seven, and their gild varied randomly. Participants outset proficient the task, and participants whose equation verification accuracy was below 85% could not go on the task and were therefore not included in further analyses. Therefore, 2 participants were excluded in WMC measures. The same scoring procedure as for the Ospan chore was used. The total possible score was 129. The number of correctly recalled items within each set was converted into a proportion-correct score.

A total memory span score was computed as the overall hateful proportion correct responses from the Ospan and the Rspan task. Based on this composite measure of WMC a median split of the average score was performed to categorize participants into ii groups: High-WMC and low-WMC.

Content Noesis Exam

To investigate participant'south cognition most the copyright constabulary, participants completed a paper-pencil content knowledge test about general copyright constabulary aspects with a full of 5 single-pick questions. For each question, participants had to choose one answer out of four possible alternatives. The correct answers were added together to obtain a total score of prior content cognition. In the easy condition the hateful sum of right answers was 3.65 (SE = 0.100), and in the difficult condition 4.12 (SE = 0.150).

Hypertext Reading

Participants read an expository hypertext about the copy right law. The text independent information about the topics copyright police force, authorship, limitations, and exceptions to the copyright, the amount of copied material and infringements of the copyright law, and is currently used equally preparation textile for lecturer qualification at the Centre of multimedia teaching and learning of the Martin-Luther Academy Halle-Wittenberg. We created two versions of the same text: A high cohesion (easy condition) and low cohesion (difficult condition) version (see Supplement Tabular array 1 for the full German versions). We used the same cohesion manipulations on local and global level equally McNamara et al. (1996). For creating high-cohesive texts, post-obit aspects were manipulated: (1) replacing pronouns with noun phrases, when the referent was ambiguous; (2) adding sentence connectives to specify the relations betwixt ideas; and (3) replacing words to increase argument overlap. Global cohesion was increased by (1) adding topic headers and (2) linking each paragraph to the residue of the text and to the overall topic. For creating low-cohesive texts, the following actions were conducted: (1) using pronouns instead of noun phrases, especially when the referent was ambiguous; (ii) removing sentence connectives to unlink the relations between ideas; and (3) using different words to subtract argument overlap. Global cohesion was decreased by (1) removing topic headers and (ii) changing the gild of paragraphs within the text and disconnecting them from overall topic. There were 68 manipulations in total. On average, one to two manipulations on the global and nearly five manipulations on the local level appeared within a text segment of 500 words. The length of the high-cohesive version was 4,870 words and of the low-cohesive version four,620 words. The texts differed in length (e.g., by removing topic headers or connectives), but non in text content. To make things clearer, an example of a translated section of the easy version of the text is: 'The principles of adept scientific piece of work overlap with the principles of copyright law merely pursue different objectives: While scientific principles protect "the male parent of the idea", copyright law but applies if the thought meets the requirements of a protected work. The fulfillment of the requirements of a protected piece of work implies that scientific principles with their obligation to cite (this means stating the source of a thought ) are much more comprehensive than the principles of copyright law . Copyright law, on the other manus, has stricter requirements, since the citation right allows an interference with the rights of the author without prior consultation of the author ' (see Supplement Table 1 for the German version of the total text). An case of the difficult version of the same section is: 'The principles of adept scientific work overlap with the principles of copyright law but pursue different objectives: While scientific discipline protects "the begetter of thought", copyright law but applies if the idea meets the requirements of a protected piece of work. The fulfillment of the requirements implies the fact that scientific principles with their obligation to cite ( as a rule, this ways the indication of a source) get much further than copyright . Copyright law has stricter requirements. The citation correct allows an interference with the rights of the author without the necessity to consult the author beforehand.' Bold confront font was used to highlight the difference between the two versions.

The average Flesch-Reading-Ease-Score was 35 in the easy and 38 in the difficult condition, indicating moderate difficulty (Schöll, 2015). The text was presented on a computer screen as several pages in black font on a white background. One text folio on the computer screen contained around 500 words. Participants continued to the next folio by clicking the "next"-push button in the bottom right corner of the screen. Participants were given as much fourth dimension as they needed to read the text. Participants were informed that they are required to consummate a reading comprehension test afterwards.

Mind Wandering Probes

Participants first read a definition of heed wandering, which was used in prior studies (Smallwood et al., 2007, p. 533): "During this experiment yous will be asked at various points whether your attention is firmly directed toward the task, or alternatively you may be aware of other things than just the task. Occasionally you lot may detect as y'all are reading the text that you begin thinking about something completely unrelated to what you are reading; this is what we refer to as "mind wandering." At a random interval exponentially distributed between 2 and 4 min with a hateful duration of 3 min during reading the hypertext, participants were asked, what they were thinking of only before the thought probe appeared in a pop-upward window in the lesser of the screen with a beep sound (Stawarczyk et al., 2011; Unsworth and McMillan, 2013). As soon as the idea probe appeared, participants had to select an answer from four response categories by pressing the corresponding number on their keyboard: (one) thinking of the text; (2) thinking how well I'm understanding the text; (iii) thinking about the electric current state of being; (4) having a retentiveness in the by or something in the future (Unsworth and McMillan, 2013). To prevent confusion, the experimenter and then explained the response options and the participants were given some examples for each category before starting the reading job. For response ii, an instance would be "I wonder what this aspect of the text actually means" and consist of thoughts nearly aspects of the text (evaluative thoughts most comprehending or missing aspects), but not what was read at that moment. For response 3, an example would exist "I'm hungry" and consists of thoughts virtually 1's current physical or emotional state. For response iv, an instance would exist "The party last weekend was fantastic" and consists of thoughts about events in the past or in the futurity. Subsequently responding to a category, participants proceeded reading the text. They could not go dorsum to reread a page once they had clicked to the next page. Responses (1) and (ii) were scored as beingness task-related thoughts (TRTs), responses (iii) and (iv) were scored as task-unrelated thoughts (TUTs). In the past, response category 2 was non unequivocally considered as a task-related (Hollis and Was, 2016). Nevertheless, when thinking about the text, there is also a processing of the text and thus an examination of it. Interfering thoughts are therefore likewise related to the appraisal of the current text. Based on this reasoning we consider since reply category two equally reflecting job-related thoughts. Yet, because of the ongoing fence we excluded this response category from all statistical assay. In addition, McVay and Kane (2009) and Stawarczyk et al. (2014) reported, the "current land of being" experiences represent around l% of listen wandering episodes. McVay et al. (2013) take also shown that a negative correlation betwixt the heed wandering frequency and the WMC is less consistent if the category "current state of being" is not included in the analyses. They also demonstrated no or only a slight correlation between thoughts related to the by or future and WMC. For these reasons nosotros chose to only analyse TUTs related to "current state of existence." For this response category the proportion of TUT-responses was computed, with a higher proportion indicating more mind wandering. In addition, reading times were recorded for the hypertext.

Reading Comprehension Exam

To investigate how well participants understood the text, participants completed a newspaper-pencil reading comprehension chore about the text content with a total of 12 single-selection questions. For each question, participants had to choose i answer out of iv possible alternatives. Scores were the sum of correctly answered questions. In the like shooting fish in a barrel condition the mean sum of right answers was 8.43 (SE = 0.143) and 6.89 (SE = 0.364) in the difficult status.

Sentence Recognition Examination

The processing of meaning of a text underlies retentivity for content and the situational model supports an organizational memory structure for content (Ericsson and Kintsch, 1995). In this judgement recognition test, participants had to distinguish whether a sentence occurred in the hypertext via a true or false key-press. There were xvi sentences in total, 8 sentences were original text sentences and eight sentences were manipulated on surface or textbase structure. An original sentence of the text would exist: "Copyright law protects the author's relationship to his work." Manipulations on surface construction contained the shifting of a clause inside the base of operations sentence to a new position, and so that the surface sentence construction changed, e.g., "The relationship of the writer to his piece of work is protected by copyright law." Manipulations on textbase construction contain the replacing of a proffer in the base sentence, so that the meaning of the text altered, due east.m., "Copyright police regulates the human relationship betwixt the writer of a work and the user of the same." Presentations of sentences were randomized for each participant. For statistical assay, pct correct responses were calculated.

Statistical Analyses

All statistical analyses were carried out using IBM SPSS Statistics 23.0. An blastoff value of 0.05 was adopted for all significance testing. Estimated effect sizes are reported using fractional eta squared (${\eta }_{\text{p}}^2$) or Cohen's d, respectively. Post-hoc tests were adjusted using Bonferroni correction. Analyses of variance (ANOVAs) were conducted for the analyses. In a outset analysis, nosotros conducted independent sample t-tests and compared law and non-police students' engagement with TUTs and on their operation in the content-knowledge examination. For the second analysis, we conducted a three-style ANOVA to analyse the mind wandering values depending on the between-field of study factors content knowledge (police force, non-law), text difficulty (easy hard) and WMC (low, high). In a third analysis, we compared overall reading times between difficult and easy texts and conducted another 3-way ANOVA to analyse comprehension performances depending on the between-subject factors prior noesis (law, non-law), text difficulty (piece of cake, hard) and WMC (low, high). Finally, we conducted a Pearson's correlation analysis betwixt the related values.

Results

Showtime Hypothesis: Touch on of Prior Knowledge on Mind Wandering and Reading Comprehension

Beginning, the effect of prior knowledge was assessed by comparing law and not-law students on their operation in the content-knowledge test. Therefore, the number of correct items was counted. Equally expected, law students achieved a higher score in the content-knowledge exam than non-police force students [Effigy 1, t ₍₈₈₎ = −2.137, p < 0.05, d = 0.46]. Second, police and not-law students were compared on their operation in the reading comprehension exam. Again, the number of correct item was counted. Law students exhibited better reading comprehension scores compared to not-law students [Effigy 2, t ₍₈₈₎ = −2.575, p < 0.05, d = 0.55]. Nevertheless, the learning gain, i.e., the increase in knowledge from pre to postal service test was similar in both groups [t ₍₈₈₎ = 1.637, p = 0.11, d = 0.21], suggesting that prior knowledge did non benefit reading comprehension.

Figure 1. Mean differences in content-noesis score between non-law and law students.

Effigy 2. Mean differences in reading comprehension score betwixt non-police force and law students.

Contrary to our hypothesis, we could not detect whatsoever significant effect of prior knowledge on the proportion of listen wandering or the sentence recognition test [proportion of listen wandering TUTs: t ₍₈₇₎ = 0.478; proportion of the TUTs-category "current state of beingness": t ₍₈₇₎ =-0.387; proportion of the TUTs-category "something in the past/hereafter": t ₍₈₇₎ = 1.150; proportion of correctly recognized manipulated sentences on surface: t ₍₈₇₎ = 0.099; or textbase level: t ₍₈₇₎ = −1.788; all p > 0.05]. Thus, as law and non-constabulary students did non differ on relevant variable apart from their knowledge almost copyright law, all subsequent analyses were carried out on the whole sample.

Second Hypothesis: Impact of Text Cohesion on Mind Wandering

Looking at the mean proportion of the easy and difficult text condition, participants experienced more TUTs (30%) in the difficult than in the easy text condition (23%, come across Table ii). The analysis of mind wandering (current state of being) showed a significant main event [F _{(ane, 81)} = 5.525, p < 0.05, ηⁱⁱ = 0.064]. There was no significant main effect of prior noesis [F _{(i, 81)} = 0.455, p > 0.05, η² = 0.006], or WMC on TUTs [F _{(i, 81)} = 0.890, p > 0.05, η^two = 0.011]. Nosotros could not notice a significant interaction between prior knowledge, text difficulty and WMC [F _{(i, 81)} = 0.103, p > 0.05, ηⁱⁱ = 0.001], however, we did find a significant interaction of text difficulty and WMC on TUTs [F _{(1, 81)} = five.369, p < 0.05, η^two = 0.062; see Figure three]. Nevertheless, overall listen wandering rates (TUTs) were not significantly unlike beyond easy and difficult texts [t ₍₈₇₎ = −i.624, p > 0.05]. Notwithstanding, the independent t-exam revealed meaning differences between piece of cake and difficult status for the mind wandering category "electric current state of being" [t ₍₈₇₎ = −75.546, p < 0.05]. Mail-hoc analyses were conducted to compare WMC effects separately for piece of cake and difficult condition. We could not observe a significant divergence comparing WMC effects for the easy [t ₍₄₂₎ = −1.256, p > 0.05], just for the difficult condition [t ₍₄₃₎ = −2.246, p = 0.030] indicating that participants with low WMC showed more heed wandering simply when reading difficult texts (see Figure 3).

Tabular array ii. Mean proportion of mind wandering, and comprehension scores for piece of cake and difficult text condition.

Figure three. Mean proportion of TUTs (current country of beingness) depending on the factors low and high WMC and the difficulty of the text.

3rd Hypothesis: Impact of Prior Noesis, Text Cohesion, and WMC on Reading Comprehension

In full general, information technology should exist said that the overall reading times (in seconds) of the difficult texts (M = 1,739, SD = 451) was not statistically dissimilar from the overall reading times of the piece of cake texts [M = 1,876, SD = 571; t ₍₈₇₎ = 1.247, p = 0.65]. This indicates that text difficulty had not an effect on reading times.

Reading comprehension was measured by a reading comprehension test. As can be seen in Tabular array 2, the difficult text condition yielded lower reading comprehension scores compared to the easy text condition. On average, participants answered 70.25% of the reading comprehension questions correctly for the easy texts and 57.41% for the difficult texts. A three-way ANOVA revealed a meaning main upshot of prior knowledge on reading comprehension [F _{(ane, 82)} = 7.905, p < 0.05, η^two = 0.088; Effigy 2]. Furthermore, there was a significant main effect of text difficulty on reading comprehension [F _{(1, 82)} = 11.651, p < 0.001, η² = 0.124], such that the comprehension score was lower for the difficult condition (Figure 4). There was no main consequence of WMC on the reading comprehension score [F _{(1, 82)} = 4.586, p = 0.229, η² = 0.018], and no pregnant three-way interaction between prior knowledge, text difficulty and WMC on the score [F _{(1, 82)} = 0.322, p = 0.572, η² = 0.004].

Figure 4. Hateful score of reading comprehension between text difficulty conditions for low and high WMC participants.

To further evaluate the build-upwardly of the situation model, we also assessed memory for the text. This was done separately for the recognition of sentences that were manipulated on the surface or textbase. As indicated in Tabular array 2, participants in the difficult condition correctly recognized less textbase manipulations (67%) than participants in the easy status (75%). In the easy condition, participants recognized 29.6% of the surface manipulations correctly while those in the difficult status correctly recognized 36.seven% of the surface manipulations. While there was no significant main effects of text difficulty [F _(i,85) = 2.004, p = 0.156, ηⁱⁱ = 0.053] on the correct recognition of textbase manipulations a significant chief effect of WMC [F _(one,85) = four.042, p < 0.05, η² = 0.045] and a pregnant interaction between text difficulty and WMC [F _(1,85) = 4.042, p < 0.05, ηⁱⁱ = 0.045] were revealed (Figure 5). Looking at the event separately for the piece of cake and difficult status, there was a significant event of WMC on the correctly recognized manipulated textbase sentences [F _(i,43) = 7.814, p = 0.008, η² = 0.154] in the hard condition. The same ANOVAs conducted on right statements and for the correctly recognized surface manipulations did not reveal any significant main or interaction furnishings (all p > 0.05).

Figure 5. Hateful percentages of correctly recognized textbase manipulations' between text difficulty conditions for depression and high WMC participants.

Human relationship between mind wandering, reading comprehension, and reading times.

In lodge to assess the relationship between the amount of listen wandering and reading performance, we conducted a Pearson's correlation assay betwixt the related values. There was no indication for a relationship betwixt mind wandering and reading comprehension score as we did not observe a significant correlation between mind wandering rates and reading comprehension score (r = −0.04, p = 0.29). However, the assay indicated a pregnant positive correlation betwixt overall reading times and the proportions of mind wandering directed to something in the by/time to come (r = 0.29, p < 0.05), which indicates that the larger number of TUTs the longer information technology took participants to read the text. In add-on, the frequency of thinking near the text was not correlated with reading comprehension score (r = 0.178. p = 0.095).

Discussion

The goal of this study was to explore the combined influence of several factors (prior knowledge, text difficulty and WMC) previously shown to touch on mind wandering and reading comprehension. In order to investigate the bear upon of prior knowledge, we tested listen wandering and the reading performance in two groups differing in their law knowledge. While police students created the grouping of participants with a high amount of prior knowledge, students of other subjects created the group of depression prior cognition nearly re-create right constabulary. We predicted that a larger corporeality of prior knowledge should be accompanied with less amount of mind wandering and improved reading comprehension compared to less prior knowledge (hypothesis 1). We also hypothesized that reading low-cohesive texts would atomic number 82 to more than mind wandering and less caste of reading comprehension (hypothesis 2 and 3). Lastly, we examined potential influencing factors such equally reading times and reading comprehension, which nosotros predictable to influence heed wandering.

Interestingly, prior cognition did not have an bear on on heed wandering, only on reading comprehension. We could not discover whatsoever meaning differences in listen wandering between law and non-police force students, except for the content noesis and the reading comprehension. Law students yielded a higher score in the content-knowledge test and reading comprehension test, just they did non appoint more in TUTs compared to not-law students when reading texts well-nigh copyright content. Contrary to previous findings (Smallwood et al., 2009; Kopp et al., 2016), it seems that WMC and textual difficulty, rather than prior knowledge, were the most decisive factors needed to successfully build a situation model, which in turn fosters the suppression of mind wandering past increasing the focus of attention on the text. Similarly, previous studies showed an effect of prior knowledge with text comprehension, but not with TUTs (Unsworth and McMillan, 2013). The content-knowledge test of a further study did not testify a direct effect of prior knowledge (Magliano et al., 2002). Only Magliano's et al. (2002) sorting exam did show an effect, which can be all-time explained past the clear structure of the relevant texts.

The nowadays study demonstrated that listen wandering did occur more than often when participants read difficult rather than easy texts. In the hard text condition, more TUTs regarding the current state of being appeared. This is in adept agreement with previous findings (Smallwood and Schooler, 2006; Feng et al., 2013; Mills et al., 2015) and with earlier assumptions that "current state of existence" experiences are mainly responsible for mind wandering episodes (McVay and Kane, 2009; Stawarczyk et al., 2014). In addition, this finding is in line with both, the resource-demand theory (Smallwood and Schooler, 2006) and the control-failure hypothesis (Kane et al., 2007; McVay and Kane, 2010). The resource-demand theory assumes that mind wandering is more frequent when readers accept difficulties amalgam a situation model of the text (Kintsch and Van Dijk, 1978; Smallwood et al., 2008). As suggested past the lower comprehension scores in the hard condition, a decreased text cohesion interferes with readers' ability to construct a state of affairs model from the text. This would imply that participants have no resources available to suppress TUTs.

The occurring mind wandering is farther promoted by individual differences in WMC and therefore in the ability to control attention while reading (McVay and Kane, 2010). High-WMC individuals are assumed to have improve executive control capabilities than depression-WMC individuals and might have more than complimentary resources to perform the reading task and supress spontaneously occurring mind wandering. In addition, every bit Rummel and Boywitt (2014) postulated, the relation between WMC and listen wandering is dependent on the chore demands, meaning that individuals with a high WMC should decrease heed wandering rates in demanding tasks like reading low cohesive, i.e., difficult texts. In contrast, these individuals would accept sufficient attentional command resources to read high cohesive, unproblematic texts and engage in TUTs simultaneously. Our results that loftier WMC participants did not exhibited more TUTs than low WMC participants in the easy status seems to contradict this notion.

In addition, text difficulty and WMC also had an touch on reading comprehension. If you look at the results descriptively, participants in the like shooting fish in a barrel condition showed a better reading comprehension score than participants in the difficult condition. This is consistent with previous studies, which showed that increasing the cohesion of a text helps to construct a situation model of the text and therefore facilitates and improves text comprehension for many readers (McNamara et al., 1996; Graesser and McNamara, 2011). Besides, participants with a low WMC scored especially lower in the reading comprehension test in the difficult condition than participants with a high WMC. Additionally, we could find the same interaction effect for the correct recalled textbase manipulations. Participants with a low WMC could significantly recollect less manipulated textbase sentences correctly than participants with a high WMC in the difficult condition. Together, these results point that lower-WMC readers do not have much capacity to integrate information from the text into a working mental model (Daneman and Carpenter, 1980). With a low WMC, individuals showed decreased executive control capabilities and have fewer resources to perform a primary chore (McVay and Kane, 2010). We speculate that low WMC participants might take difficulties to inhibit irrelevant information and access related data from working retention, especially when text complexity is high.

In sum, our results do not fully support either of the two theoretical accounts but are in most understanding with the cerebral-flexibility hypothesis (Rummel and Boywitt, 2014) stating that high-WMC individuals appoint in TUTs when task demands are low but reduce TUTs in attention-enervating tasks when these TUTs are very likely to impede performance on these tasks. Based on the nowadays results we suggest an extension of the existing models (Smallwood and Schooler, 2006; McVay and Kane, 2010; Rummel and Boywitt, 2014) that listen wandering occurs whenever the available resource of the reader (WMC, prior knowledge, etc.) do not lucifer the job demands. In contrast to the cognitive-flexibility hypothesis (Rummel and Boywitt, 2014) our resource-demand-matching view states that low availability of cognitive resources, for case imposed by high text difficulty in a reading comprehension job or due to low WMC leads to more mind wandering as does high availability of these cognitive resources exceeding the demand. Within this view, nosotros fence that prior noesis could potentially free up processing resources equally prior knowledge is combined with the electric current text to benefit the construction of the situational model (cf., Unsworth and McMillan, 2013). Yet, if this benefit is rather small, as information technology is the case in the present study, the effect of prior knowledge on mind wandering is negligible.

Previous studies take demonstrated that increased amount of heed wandering impedes on text comprehension (eastward.g., Schooler et al., 2004). In the nowadays study increased amount of heed wandering did non reduce text comprehension but did extend the reading time indicated by a positive correlation between reading time and future/past-oriented TUTs. Reading times were longer when participants mind wandered more frequently well-nigh their future or their by. This is consistent with prior studies, which showed that slower reaction times are acquired by attention failures in engaging tasks (Unsworth et al., 2010; McVay and Kane, 2012a). This suggests that participants who are enlightened of their mind wandering (or beingness made aware by the thought probe technique) tried to compensate for this attending failure and the resulting lack of understanding past reading some passages of the text once again. The present results advise another cistron that influences the relationship between the amount of heed wandering and reading comprehension. The frequency of thinking almost the text was marginally correlated with the reading comprehension score, indicating that more than elaboration of the text leads to a amend agreement of the text, without prolonging the reading time. Thus, whether mind wandering impedes on text comprehension seems to depend on the engagement of compensatory processes: either extending reading times and/or more elaborative thoughts about the content of the text. The precise role of such compensatory processes remains to be elucidated.

The report has limitations. A potential limitation of our study could be that we did non mensurate situational involvement, because we primarily wanted to examine the characteristics of the text. Prior research has shown a negative relation between text interest and mind wandering (Giambra and Grodsky, 1989; Smallwood et al., 2009; Dixon and Bortolussi, 2013; Unsworth and McMillan, 2013). Giambra and Grodsky (1989) found that mind wandering was non linked to text difficulty, just to text interest. They showed that the more one is interested in the current topic of the text the better their attention is focused on the text. Information technology could be that mind wandering occurs more often during reading difficult texts, but only for less interested participants. However, we cannot fully rule out this potential confound. In improver, situational involvement could as well take dampened the influence of prior knowledge on listen wandering. Miller and Kintsch (1980) hypothesized that situational interest was low when prior knowledge was low. According to Tobias (1994), interest tin be helpful for readers with prior knowledge, but not for low-knowledge readers and the presentation of few new items leads to optimal interest. The reason why we did not find an effect of prior cognition on mind wandering could be due to the lack of involvement. Therefore, the role of interest should be considered in futurity studies.

Determination

The present findings provided novel insights into processing attention during reading texts past investigating the interaction of text difficulty, working retentivity capacity and prior knowledge on mind wandering and reading comprehension while reading digital texts. The nowadays study has provided evidence that the impact text difficulty had on mind wandering and reading comprehension was modulated by WMC. Participants with lower WMC exhibited more frequent mind wandering than loftier-WMC participants solely when reading depression-coherent texts. In addition, high-WMC participants outperformed depression-WMC participants on all measures of text comprehension. In this study, we take attempted to extend the existing theories (resources-need theory, control-failure hypothesis, cognitive-flexibility theory) by new aspects and to actualize them in parts.

Information Availability Argument

All datasets generated for this study are included in the article/Supplementary fabric.

Ideals Argument

Ethical review and approval was non required for the report on man participants in accord with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this report.

Author Contributions

TSchur, TSchub, and BO were involved in planning and developed the theory. TSchur and BO designed experiments, processed the experimental data, and performed the analysis. TSchur carried out the experiments. TSchub and BO supervised the research and aided in interpreting the results. TSchur drafted the manuscript with support from all authors and designed the figures. All authors discussed the results and commented on the manuscript.

Funding

TSchur and BO were supported by a Grant of the German Federal Ministry building of Research and Pedagogy, No. 01PL17065, Quality Pact for Pedagogy. Nosotros acknowledge the financial support within the funding plan Open Access Publishing by the German Enquiry Foundation (DFG), VAT DE 811353703. Nosotros also acknowledge the fiscal support of the Open Access Publication Fund of the Martin-Luther-University Halle-Wittenberg, VAT DE 811353703.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank Melanie Müller for supporting the information drove.

Supplementary Textile

The Supplementary Fabric for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feduc.2020.00026/full#supplementary-fabric

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