A cognitive model of fiction writing.

Models of the writing process are used to design software tools for writers who work with computers. This thesis is concerned with the construction of a model of fiction writing. The first stage in this construction is to review existing models of writing. Models of writing used in software design and writing research include behavioural, cognitive and linguistic varieties. The arguments of this thesis are, firstly, that current models do not provide an adequate basis for designing software tools for fiction writers. Secondly, research into writing is often based on questionable assumptions concerning language and linguistics, the interpretation of empirical research, and the development of cognitive models. It is argued that Saussure's linguistics provides an alternative basis for developing a model of fiction writing, and that Barthes' method of textual analysis provides insight into the ways in which readers and writers create meanings. The result of reviewing current models of writing is a basic model of writing, consisting of a cycle of three activities - thinking, writing, and reading. The next stage is to develop this basic model into a model of fiction writing by using narratology, textual analysis, and cognitive psychology to identify the kinds of thinking processes that create fictional texts. Remembering and imagining events and scenes are identified as basic processes in fiction writing; in cognitive terms, events are verbal representations, while scenes are visual representations. Syntax is identified as another distinct object of thought, to which the processes of remembering and imagining also apply. Genette's notion of focus in his analysis of text types is used to describe the role of characters in the writer's imagination: focusing the imagination is a process in which a writer imagines she is someone else, and it is shown how this process applies to events, scenes, and syntax. It is argued that a writer's story memory, influences his remembering and imagining; Todorov's work on symbolism is used to argue that interpretation plays the role in fiction writing of binding together these two processes. The role of naming in reading and its relation to problem solving is compared with its role in writing, and names or signifiers are added to the objects of thought in fiction writing. It is argued that problem solving in fiction writing is sometimes concerned with creating problems or mysteries for the reader, and it is shown how this process applies to events, scenes, signifiers and syntax. All these findings are presented in the form of a cognitive model of fiction writing. The question of testing is discussed, and the use of the model in designing software tools is illustrated by the description of a hypertextual aid for fiction writers

The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies

This publication comprises the papers presented at the 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies held at the NASA/Goddard Space Flight Center, Greenbelt, Maryland, on May 9-11, 1995. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed

Automated detection of reflection in texts. A machine learning based approach

Promoting reflective thinking is an important educational goal. A common educational practice is to provide opportunities for learners to express their reflective thoughts in writing. The analysis of such text with regard to reflection is mainly a manual task that employs the principles of content analysis. Considering the amount of text produced by online learning systems, tools that automatically analyse text with regard to reflection would greatly benefit research and practice. Previous research has explored the potential of dictionary-based approaches that automatically map keywords to categories associated with reflection. Other automated methods use manually constructed rules to gauge insight from text. Machine learning has shown potential for classifying text with regard to reflection-related constructs. However, not much is known of whether machine learning can be used to reliably analyse text with regard to the categories of reflective writing models. This thesis investigates the reliability of machine learning algorithms to detect reflective thinking in text. In particular, it studies whether text segments from student writings can be analysed automatically to detect the presence (or absence) of reflective writing model categories. A synthesis of the models of reflective writing is performed to determine the categories frequently used to analyse reflective writing. For each of these categories, several machine learning algorithms are evaluated with regard to their ability to reliably detect reflective writing categories. The evaluation finds that many of the categories can be predicted reliably. The automated method, however, does not achieve the same level of reliability as humans do

Project based-learning based on I-STEM (Islamic, Science, Technology, and Mathematics) to facilitate the development of geometric critical thinking skills of first middle students

In line with the 21st century, mathematics learning innovations continue to be developed to facilitate students' critical thinking skills by adjusting the context of their religious life. The purpose of this study is to provide ideas that teachers can do to implement Project Based Learning (PjBL) with a STEM (I-STEM) approach that is used to facilitate the development of students' critical thinking skills. The pattern of integration that is designed lies in the flat plane geometry material with the integration of the verses of the Koran and the internalization of Islamic values, with the hope of being able to create meaningful learning activities for students. This research is a qualitative research with library research. Data collection techniques are carried out through reviewing the literature, both from articles, books, and other documents that can be used to describe theories and information needed in research. The data analysis technique used is content analysis (content analysis). The results of this study are the I-STEM-based PjBL syntax includes 1) basic questions (integration with the verses of the Koran presented in the LKPD); 2) designing project plans (miniature Kaaba); 3) draw up a project completion schedule; 4) monitor project progress; 5) test project results (and compare with other problems); and 6) evaluate the learning experience. I-STEM-based PjBL was developed to facilitate the development of students' critical thinking skills through syntax and LKPD which were developed adapted to the context of Islamic life and the Koran at the junior high school level

Project based-learning based on I-STEM (Islamic, Science, Technology, and Mathematics) to facilitate the development of geometric critical thinking skills of first middle students

In line with the 21st century, mathematics learning innovations continue to be developed to facilitate students' critical thinking skills by adjusting the context of their religious life. The purpose of this study is to provide ideas that teachers can do to implement Project Based Learning (PjBL) with a STEM (I-STEM) approach that is used to facilitate the development of students' critical thinking skills. The pattern of integration that is designed lies in the flat plane geometry material with the integration of the verses of the Koran and the internalization of Islamic values, with the hope of being able to create meaningful learning activities for students. This research is a qualitative research with library research. Data collection techniques are carried out through reviewing the literature, both from articles, books, and other documents that can be used to describe theories and information needed in research. The data analysis technique used is content analysis (content analysis). The results of this study are the I-STEM-based PjBL syntax includes 1) basic questions (integration with the verses of the Koran presented in the LKPD); 2) designing project plans (miniature Kaaba); 3) draw up a project completion schedule; 4) monitor project progress; 5) test project results (and compare with other problems); and 6) evaluate the learning experience. I-STEM-based PjBL was developed to facilitate the development of students' critical thinking skills through syntax and LKPD which were developed adapted to the context of Islamic life and the Koran at the junior high school level