This study proposes a knowledge graph-based big data analysis model for course quality evaluation, aiming to address issues in online education course evaluations such as semantic bias, grammatical deficiencies, vocabulary limitations, false evaluations, information distortion, and imbalanced evaluation categories. The model incorporates three…

Much research on higher education has discussed the positional competition induced by global rankings and the complementary concept of "world-class" universities. This paper investigates the network of social media communication between globally ranked universities. Specifically, it examines whether universities seek to preserve and…

Literature on global international student mobility (ISM) highlights the uneven nature of student flows--from the developing to the developed world--however, studies have yet to address whether this pattern is replicated within expanding regional networks. Utilizing social network analysis, UNESCO ISM data, and World Bank income classifications,…

One critical aspect that hinders the systematic use of concept mapping in everyday classrooms is the difficulty of providing high-quality feedback to students so as to keep improving and revising their concept maps (Cmaps). The development of an innovative way to analyse, at a glance, students' Cmaps is presented to allow a diagnostic assessment…

Assuming that textbooks give literary expression to cultural and ideological values of a nation or group, we propose the analysis of chemistry textbooks used in Brazilian universities throughout the twentieth century. We analyzed iconographic and textual aspects of 31 textbooks which had significant diffusion in the context of Brazilian…

Many students find climate classification laborious and time-consuming, and through their lack of repetition fail to grasp the details of classification. This paper describes an expert system for climate classification that is being developed at Middle Tennessee State University. Topics include: (1) an introduction to the nature of classification,…

A model of category effects found in reports of episodic memory is proposed. The model holds that stimuli are presented at a fine-grain level of detail and a category. Four experiments involving a total of 131 University of Chicago (Illinois) students and faculty are reported in support of the model. (SLD)

This paper summarizes the state of instructional software being produced by commercial sources in the United States as of late 1984, and reports some of the trends which led up to that state. After a brief background synopsis and description of the procedure used to obtain information, the document discusses such topics as: amount of software…

Presents a five-step method to develop the critical numeracy knowledge of numerically intimidated students. Examines the method in detail, discussing Piagetian diagnostic tools and how to adapt the Structure of the Observed Learning Outcome (SOLO) taxonomy to teach critical numeracy. (CMK)

Reports on research that examined the clustering of similar books provided by a classification system and ways in which the books that patrons circulate are clustered in a university library. Measures of classification system performance are suggested and used to evaluate two test collections. Consequences for full-text document systems and online…

Investigates techniques for automatic classification of book material focusing on: computer-based surrogation of monographic material, book surrogate clustering on basis of content association, evaluation of resultant classifications. Test collection (250 books) is described with surrogation by means of back-of-the-book index, table of contents,…

A model of graph comprehension is proposed including perceptual and memory processes. Multidimensional scaling (MDS), cluster analysis, and analysis of variance (ANOVA) were used to determine how college students with different mathematical experience read different types of bar graphs. Data were collected at the University of Oklahoma (Norman)…

Methods are described for visualizing and characterizing user interactions with hypermedia systems; they have been found to be effective in several developmental and evaluation studies. Analyzing the patterns of user interaction makes it possible to evaluate the design and usefulness of such systems. Path algebras can be used to describe and…