This study measured the structural and organizational changes in the knowledge schema of human cognition in response to the learning achieved by 48 students enrolled in the second year of a psychology degree. Two studies were carried out based on the Chronometric Constructive Cognitive Learning Evaluation Model. This article deals only with the first one, which consisted of a conceptual definition task designed in line with the Natural Semantic Network technique. Participants defined ten target concepts with verbs, nouns, or adjectives (definers), and then weighed the grade of the semantic relationship between the definers and the target concepts. The data indicate that the initial knowledge structures had been modified towards the end of the course. The participants’ human cognition schema presented changes in terms of content, organization, and structure. This evidence supports the idea that the acquisition and transformation of the schemata learned in academic environments may be observed through cognitive science indicators.

This study illustrates the application of the Chronometric Constructive Cognitive Learning Evaluation Model to assess learning about human cognition knowledge schema in 48 second-year psychology students (79% females, 21% males). In the first phase, the participants carried out a conceptual definition task based on the Natural Semantic Networks technique. They defined ten target concepts related to the course by using verbs, substantives, adjectives, and pronouns (definers). Participants then rated the grade of relatedness between definers and targets concepts. Subsequently, the present authors carried out a computational simulation with data from the first study. In addition, students participated in a semantic priming experiment. They participated in a lexical decision task. Participants read pairs of words; these pairs were sometimes related by cognition scheme or common association, and sometimes were unrelated. The three tasks were applied at the start of the course and the end. The computational simulation analysis and ANOVA indicated that the initial pattern for conceptual activation had changed at the end of the course. Additionally, the initial chronometric behavior of the human cognition schema of the participants also changed at the end of the course. This evidence supports the idea that cognitive evaluation tools can help assess the schematic behavior patterns induced by academic learning.

<p><span>The COVID-19 pandemic has impacted human life, including educational settings. In Mexico, teachers and students found it necessary to adopt the online modality at all levels. As a result, both students and teachers face new demands and a re-conceptualization of their everyday academic lives. This study explored the engineering students' perception of the favorable effect level that the class context has on their learning. There were 551 participants took a cognitive algebra study. The experimental task involved reading 12 scenarios that described hypothetical online or face-to-face learning situations; then, each participant judged the degree to which these types of situations favor their learning, using an 11-point scale. The results indicated three cognitive styles when judging the degree to which each class context favors the learning. These styles share a similar cognitive mechanism in terms of information integration; however, the selection process and valuation of the factors differed across the groups. The students' perception on the class context influences their involvement and motivation level for courses on which they are enrolled. The present study's findings suggest that the cognitive algebra approach helps diagnose students' cognitive and emotional approach styles for different class contexts and provides information about the nature of their cognitive processes in terms of how students' judgments and attitudes towards classes are generated.</span></p>

This study explored the cognitive changes to long-term memory as a result of academic learning in 43 Psychology undergraduate students (91% female and 9% male). The participants carried out a conceptual definition task based on the Natural Semantic Networks technique. They defined ten target concepts related to the diagnostic evaluation of learning disorders using verbs, nouns, or adjectives as definers. After, students weighed the quality of each definer through a ten-point scale. The higher the score, the greater the conceptual relationship between the definer and the target. The data of this study (the schema behavior) was subjected to a computational simulation. Finally, the participants carried out a lexical decision task based on the semantic priming paradigm, they read pairs of words that may or may not be related to the measured knowledge schema. The task was to judge whether the second word in each pair was spelled correctly or incorrectly. The results indicated an increase in the level of conceptual accessibility derived from learning. In addition, the participants accessed their knowledge schema, first through general nodes and then retrieved through the more specific nodes. The neurocomputational activation pattern suggested that learning experiences changed the meaning of concepts for each participant along the course. At the end of the course, the students seemed to reach a schematic consolidation. The diagnosis of these cognitive characteristics through the formation of academic schemas can provide learning opportunities closer to each student’s cognitive profile to increase the effectiveness of instruction.

<p style="text-align: justify;">This study explored the cognitive mechanism behind information integration in the test anxiety judgments in 140 engineering students. An experiment was designed to test four factors combined (test goal orientation, test cognitive functioning level, test difficulty and test mode). The experimental task required participants to read 36 scenarios, one at a time and then estimate how much test anxiety they would experience in the evaluation situation described in each scenario. The results indicate three response styles (low, moderate, and high-test anxiety) among the participants. The orientation and difficulty of each given exam scenario were the most critical factors dictating test anxiety judgments. Only the moderate test anxiety group considered the test mode to be a third relevant factor. The integration mechanism for Cluster 1 was multiplicative, while for Clusters 2 and 3, it was summative. Furthermore, these last two clusters differed in terms of the valuation of the factors. These results suggest that programs that help students to cope with test anxiety need to take into account the valuation and integration mechanism that students use to integrate different information in specific examination contexts, since the way students assess their internal and external circumstances can influence how they deal with evaluative situations.</p>