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The Common Core State Standards (CCSS) invite students to engage in close reading of primary source texts from American history, but an overly rigid definition of close reading that excludes providing background knowledge threatens to undermine these efforts. This approach flies in the face of decades of research on successful reading comprehension strategies. It also rejects the extensive literature on discipline-based learning in history, which has routinely affirmed the importance of context for understanding primary source texts. Primary sources are typically drawn from a world different from that of the students in time or place, or both. Teachers should provide historical context to their students by giving them information about the time, location, and purpose for the creation of the source. They should also situate the source in a specific location—whether local, national, or international—and examine the source in relation to other events of the time. Context is not the enemy of close reading of primary sources; context is the very thing that makes close reading possible and meaningful.

Preservice English teachers are expected to use literary theories and criticism to read and respond to literary texts. Over the past century, two of the most common approaches to literary encounters in secondary schools have been New Criticism – particularly the practice of close reading – and Rosenblatt's transactional theory, both of which have been expanded through critical theorizing along the way. Elucidated by data produced in iterative experiments with Frost's “The Road Not Taken,” the authors reconceptualize the reader, the text, and close reading through the critical posthuman theory of reading with love as a generative way of thinking outside of the habitual practices of European humanisms.

In “thinking with” (Jackson and Mazzei, 2023) desiring-machines, affect, Man and critical posthuman theory, this post qualitative inquiry maps how the “The Road Not Taken” worked when students plugged into it iteratively in processes of reading with love, an affirmative and creative series of experiments with literature.

This study mapped how respect for authority, the battle of good v evil, individualism and meritocracy operated as desiring-machines that channeled most participants’ initial readings of “The Road Not Taken.” In subsequent experiments with the poem, the authors demonstrate that reading with love as a critical posthuman process of reading invites participants to exceed the logics of recognition and representation, add or invent additional ways of being and relating to the world and thereby produce the possibility to transform a world toward greater inclusivity and equity.

The authors reconceptualize the categories of “the reader” and “the text” from Rosenblatt’s transactional theory within practices of reading with love, which they situate within a critical posthuman theory. They eschew separating efferent and aesthetic reading stances while also recuperating practices of “close reading,” historically associated with the New Critics, by demonstrating the generativity of critically valenced “close reading” within a Deleuzian process of reading with love.

This paper aims to draw from work in the field of English that questions the “limits of critique” (Felski, 2015) in order to consider the limits of critical literacy approaches to literature instruction. The study focuses on the relational and affective demands that resistant reading places on readers and texts.

Drawing from post-critical (Felski, 2015) and surface (Best and Marcus, 2009) reading practices in the field of English, the authors perform analyses of two recent articles that illustrate critical literacy approaches to literature instruction, drawing attention to the ways the resistant reading practices outlined in each article reflect Felski’s description of critique.

The authors’ readings of two frameworks of critical literacy approaches to literature instruction produce two key findings: first, in emphasizing resistant readings, critical literacy asks readers to take up a detective-like orientation to literature, treating texts as suspects; second, resistant reading practices promote a specific set of affective orientations toward a text, asking readers to cultivate skepticism and vigilance.

While the authors do not dismiss the importance of critical literacy approaches to literature instruction, the study makes room for other relational and affective orientations to literature, especially those that might encourage readers to listen to – and be surprised by – a text. By describing critical literacy through the lens of Felski’s work on critique, the authors aim to open up new possibilities for surprising encounters with literature.

This study aims to develop a hierarchical topic analysis tool (HTAT) based on hierarchical Latent Dirichelet allocation (hLDA) to support digital humanities research that is associated with the need of topic exploration on the Digital Humanities Platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW). HTAT can assist humanities scholars on distant reading with analysis of hierarchical text topics, through classifying time-stamped texts into multiple historical eras, conducting hierarchical topic modeling (HTM) according to the texts from different eras and presenting through visualization. The comparative network diagram is another function provided to assist humanities scholars in comparing the difference in the topics they wish to explore and to track how the concept of a topic changes over time from a particular perspective. In addition, HTAT can also provide humanities scholars with the feature to view source texts, thus having high potential to be applied in promoting the effectiveness of topic exploration due to simultaneously integrating both the topic exploration functions of distant reading and close reading.

This study adopts a counterbalanced experimental design to examine whether there is significant differences in the effectiveness of topic inquiry, the number of relevant topics inquired and the time spent on them when research participants were alternately conducting text exploration using DHP-LCLW with HTAT or DHP-LCLW with Single-layer Topic Analysis Tool (SLTAT). A technology acceptance questionnaire and semi-structured interviews were also conducted to understand the research participants' perception and feelings toward using the two different tools to assist topic inquiry.

The experimental results show that DHP-LCLW with HTAT could better assist the research participants, in comparison with DHP-LCLW with SLTAT, to grasp the topic context of the texts from two particular perspectives assigned by this study within a short period. In addition, the results of the interviews revealed that DHP-LCLW with HTAT, in comparison with SLTAT, was able to provide a topic terms that better met research participnats' expectations and needs, and effectively guided them to the corresponding texts for close reading. In the analysis of technology acceptance and interview data, it can be found that the research participants have a high and positive tendency toward using DHP-LCLW with HTAT to assist topic inquiry.

The Jieba Chinese word segmentation system was used in the Mr. Lo Chia-Lun’s Writings Database in this study, to perform word segmentation on Mr. Lo Chia-Lun’s writing texts for topic modeling based on hLDA. Since Jieba word segmentation system is a lexicon based word segmentation system, it cannot identify new words that have still not been collected in the lexicon well. In this case, the correctness of word segmentation on the target texts will affect the results of hLDA topic modeling, and the effectiveness of HTAT in assisting humanities scholars for topic inquiry.

An HTAT was developed to support digital humanities research in this study. With HTAT, DHP-LCLW provides hmanities scholars with topic clues from different hierarchical perspectives for textual exploration, and with temporal and comparative network diagrams to assist humanities scholars in tracking the evolution of the topics of specific perspectives over time, to gain a more comprehensive understanding of the overall context of the texts.

In recent years, topic analysis technology that can automatically extract key topic information from a large amount of texts has been developed rapidly, but the topics generated from traditional topic analysis models like LDA (Latent Dirichelet allocation) make it difficult for users to understand the differences in the topics of texts with different hierarchical levels. Thus, this study proposes HTAT which uses hLDA to build a hierarchical topic tree with a tree-like structure without the need to define the number of topics in advance, enabling humanities scholars to quickly grasp the concept of textual topics and use different hierarchical perspectives for further textual exploration. At the same time, it also provides a combination function of temporal division and comparative network diagram to assist humanities scholars in exploring topics and their changes in different eras, which helps them discover more useful research clues or findings.

This study aims to develop an associative text analyzer (ATA) to support users in quickly grasping and interpreting the content of large amounts of text through text association recommendations, facilitating the identification of the contextual relationships between people, events, organization and locations for digital humanities. Additionally, by providing text summaries, the tool allows users to link between distant and close readings, thereby enabling more efficient exploration of related texts.

To verify the effectiveness of this tool in supporting exploration of historical texts, this study uses a counterbalanced design to compare the use of the digital humanities platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW) with and without the ATA to assist in exploring different aspects of text. The study investigated whether there were significant differences in effectiveness for exploring textual contexts and technological acceptance as well as used semi-structured in-depth interviews to understand the research participants’ viewpoints and experiences with the ATA.

The results of the experiment revealed that the effectiveness of text exploration using the DHP-LCLW with and without the ATA varied significantly depending on the topic of the text being explored. The DHP-LCLW with the ATA was found to be more suitable for exploring historical texts, while the DHP-LCLW without the ATA was more suitable for exploring educational texts. The DHP-LCLW with the DHP-LCLW was found to be significantly more useful in terms of perceived usefulness than the DHP-LCLW without the ATA, indicating that the research participants believed the ATA was more effective in helping them efficiently grasp the related texts and topics during text exploration.

The study’s practical implications lie in the development of an ATA for digital humanities, offering a valuable tool for efficiently exploring historical texts. The ATA enhances users’ ability to grasp and interpret large volumes of text, facilitating contextual relationship identification. Its practical utility is evident in the improved effectiveness of text exploration, particularly for historical content, as indicated by users’ perceived usefulness.

This study proposes an ATA for digital humanities, enhancing text exploration by offering association recommendations and efficient linking between distant and close readings. The study contributes by providing a specialized tool and demonstrating its perceived usefulness in facilitating efficient exploration of related texts in digital humanities.

Music elicits emotions and acts as a cultural definer of class values, political beliefs, and economic life. Students are intrinsically drawn to and possess an innate ability for interpreting music. Music, moreover, activates learning in ways other content sources cannot; yet, it is utilized infrequently in social studies classrooms as a historical inquiry tool. Harnessing its emotive and seductive power, music as a primary source naturally scaffolds understanding of the zeitgeist through sensory engagement and lyrical analyses. Focusing on Born in the U.S.A. (Springsteen, 1984), authors demonstrate how examining music can impart views often absent from mass media portrayal of historical events and eras. A music listening and analysis tool is employed as a heuristic for critically interpreting music to explore the past. The historical thinking processes presented offer an inquiry-oriented curricular model for integrating music and social studies.

Digital humanities research platform for biographies of Malaysia personalities (DHRP-BMP) was collaboratively developed by the Research Center for Chinese Cultural Subjectivity in Taiwan, the Federation of Heng Ann Association Malaysia, and the Malaysian Chinese Research Center of Universiti Malaya in this study. Using The Biographies of Malaysia Henghua Personalities as the main archival sources, DHRP-BMP adopted the Omeka S, which is a next-generation Web publishing platform for institutions interested in connecting digital cultural heritage collections with other resources online, as the basic development system of the platform, to develop the functions of close reading and distant reading both combined together as the foundation of its digital humanities tools.

The results of the first-stage development are introduced in this study, and a case study of qualitative analysis is provided to describe the research process by a humanist scholar who used DHRP-BMP to discover the character relationships and contexts hidden in The Biographies of Malaysia Henghua Personalities.

Close reading provided by DHRP-BMP was able to support humanities scholars on comprehending full text contents through a user-friendly reading interface while distant reading developed in DHRP-BMP could assist humanities scholars on interpreting texts from a rather macro perspective through text analysis, with the functions such as keyword search, geographic information and social networks analysis for humanities scholars to master on the character relationships and geographic distribution from personality biographies, thus accelerating their text interpretation efficiency and uncovering the hidden context.

At present, a digital humanities research platform with real-time characters’ relationships analysis tool that can automatically generate visualized character relationship graphs based on Chinese named entity recognition (CNER) and character relationship identification technologies to effectively assist humanities scholars in interpreting characters’ relationships for digital humanities research is still lacking so far. This study thus presents the DHRP-BMP that offers the key features that can automatically identify characters’ names and characters’ relationships from personality biographies and provide a user-friendly visualization interface of characters’ relationships for supporting digital humanities research, so that humanities scholars could more efficiently and accurately explore characters’ relationships from the analyzed texts to explore complicated characters’ relationships and find out useful research findings.

This experimental study aimed to examine the effects of annotating a historical text as a reading comprehension strategy on student academic achievement in an eighth-grade social studies class.

A mixed-method design was used to collect quantitative and qualitative data sequentially. First, the authors collected quantitative data with a series of pre- and post-tests from all student participants during a six-week instructional time frame. Next, the authors collected quantitative and qualitative data with a survey from teacher and intervention group student participants. Quantitative data were analyzed to evaluate the mean differences in participants' test scores and survey responses. Finally, qualitative data from open-ended survey questions were transcribed and analyzed using an inductive approach to supplement the quantitative findings and develop a holistic picture of the participants' learning experiences.

The results showed that the annotating strategy increased student engagement, reading comprehension and thus academic achievement in social studies. Annotating helped students visualize key points, break down complex texts and slow down when reading complex historical texts. As a result, it helped students focus, think critically and discourse to understand complex content.

The study was conducted with eighth-grade students in one middle school in South Georgia.

The findings of this study provide evidence that the reading comprehension strategy of annotating is a valuable teaching and learning tool for daily use in social studies classrooms.

Educators must prepare students to use reading comprehension strategies such as annotating in all content areas and not only in a traditional academic setting.

This study adds to the current body of research and undergirds reading comprehension strategies used to improve the learning outcomes in content other than reading.

The purpose of this paper is to discuss the ways in which Derridean deconstruction can be used for image research.

Derridean concepts, mainly located in literary criticism, are adapted to image research.

The paper presents four concepts of visual deconstruction: logocentric vision; close reading images; seeing the Other; and problematising not solutionising the image.

Many more aspects of Derridean deconstruction can be related to the economy of the image.

Little work to date in management studies has considered how Derridean deconstruction can be used to investigate images.

The aim of this article is to develop an architectural pedagogy for the Anthropocene. The author reflect on a project within a postgraduate architectural theory module to address the following questions: How can architectural pedagogy articulate critical modes of production that contribute to quality education in the time of the Anthropocene? What are the ideas, values and practices needed?

The method employed is close reading of texts focussed on three areas: critical theory and pedagogy, political theory and the Anthropocene, and architectural theory and typological urbanism. These theoretical narratives are placed in dialogue with a reflection on a design research pedagogical project. The theoretical narratives and design research project seek to articulate the multidimensionality of critical education. The methodology enacted in the paper performs the pedagogy of the classroom.

The study yields compelling conclusions regarding the potential for rethinking the idea of typology under the pressure of the Anthropocene and of critical pedagogy combined with design research to take positions on urgent political and social matters. The author concludes with a toolkit of concepts, values and knowledge practices.

At a time when disciplines tend towards discrete specialisation, while the need for knowledge production is ever more transdisciplinary, this paper develops inventive techniques and conceptual frameworks for supporting approaches where different fields and ideas make contact as a collective task in the era of the Anthropocene. It updates theories of typology to address contemporary pressures.