نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری علوم شناختی- زبانشناسی، دانشکده علوم انسانی، دانشگاه تربیت مدرس، تهران، ایران.
2 دانشیار گروه زبانشناسی، دانشکده علوم انسانی، دانشگاه تربیت مدرس، تهران، ایران.
3 دانشیار گروه زبان و ادبیات انگلیسی، دانشکده ادبیات و علوم انسانی، دانشگاه گیلان، رشت، ایران
4 دانشیار پژوهشگاه علوم انسانی و مطالعات فرهنگی، تهران، ایران،
کلیدواژهها
عنوان مقاله English
نویسندگان English
Text comprehension and recall are among the most fundamental cognitive processes, and explaining their mechanisms can be effective both in the development of cognitive science theories and in the design of intelligent computational systems. Written texts generally fall into two main categories - narrative and expository - each activating different patterns of mental processing: narratives, relying on temporality, causality, and character-centeredness, are closely related to episodic memory, while expository texts, with their logical and conceptual organization, are more dependent on semantic memory. The present study, with the aim of examining these two text types simultaneously, empirically tested two well-known models of text understanding - the Landscape model and the Event-Indexing model - and, alongside them, evaluated the effectiveness of a revised model designed on the basis of integrating conceptual activation, event structuring, and positional weighting. For this purpose, three Persian texts with different structures were selected. Fifty-one ninth-grade students, after reading the texts, participated in a free recall task, and their memory outputs were recorded and coded sentence by sentence. The three cognitive models were then implemented, and their normalized outputs (0–1) were compared with the actual data of the participants. Statistical analyses included accuracy, precision, recall, and F1 score, along with Pearson correlation and paired t-tests. The findings showed that the Landscape model was more effective in representing key concepts and semantic relations, whereas the Event-Indexing model better captured the temporal and causal coherence of narrative texts. However, neither model alone was sufficient to cover the full pattern of human recall. In contrast, the revised model, by integrating the three cognitive mechanisms and incorporating the serial position effect, provided the highest level of correlation with behavioral data and demonstrated a significant advantage over the two classical models in terms of the F1 measure
کلیدواژهها English
