Empirical directions to innovate e-assessments and to support the theoretical development of e-learning are discussed by presenting a new learning assessment system based on cognitive technology. Specifically, this system encompassing trained neural nets that can discriminate between students who successfully integrated new knowledge course content from students who did not successfully integrate this new knowledge (either because they tried short-term retention or did not acquire new knowledge). This neural network discrimination capacity is based on the idea that once a student has integrated new knowledge into long-term memory, this knowledge will be detected by computer-implemented semantic priming studies (before and after a course) containing schemata-related words from course content (which are obtained using a natural semantic network technique). The research results demonstrate the possibility of innovating e-assessments by implementing mutually constrained responsive and constructive cognitive techniques to evaluate online knowledge acquisition. Keywords: E-assessment, learning, knowledge representation, connectionism, educational technology, innovation, neural nets.To cite this article: Morales-Martinez, G. E., Lopez-Ramirez, E. O., Castro-Campos, Villarreal-Treviño, & Gonzales-Trujillo, C. J. (2017). Cognitive analysis of meaning and acquired mental representations as an alternative measurement method technique to innovate e-assessment.

This study investigated how using concept maps affects meaning formation and schemata organization of a biology course content. Here, high school students taking an introductory course on biology were required to provide conceptual definitions for ten course-relevant target concepts by using a natural semantic network technique. This allowed us to computer-simulate schemata behavior and select schemata-related concepts that were used to compare these word pairs against other semantic related concepts in a semantic priming study before and after the course. An experimental group used concept maps as a learning tool whereas the control did not. Results showed that semantic priming effects to schemata related concepts are obtained only for students who used concept maps as a learning tool. Implications of the study findings are discussed in the context of a formative learning approach.

Persons with intellectual disability (PWID) have fewer opportunities for enrolment in school programs and post-school employment than do their peers with typical development. Evidence suggests that attitude toward PWID is a main factor in either promoting or limiting better life conditions for this population. In this paper, the goal was to determine the cognitive information integration rules underlying the expectations of 174 special education teachers and students with regard to job training for PWID. In order to accomplish this goal, four factors (Gender, Severity of disability, Type of task, and Emotional traits) were orthogonally combined to implement a cognitive algebra study design. We obtained 48 experimental conditions, with each one presented as a scenario describing a PWID in a work training situation. Participants read these scenarios and were asked to judge the probability of the success of PWID with regard to learning the skills needed to complete the required work. Patterns of response allowed us to identify low, moderate, and high viewpoints with regard to participants' judgments of predicted success. Personal factors (Emotional traits and Severity of disability) and the Type of task factor were considered the most important in influencing the participants' judgment. These factors seemed to be integrated in a complex systematic cognitive pattern. Implications from this type of result with regard to PWID and work training are discussed in this paper.

This study explored in a sample of 560 high level education students their judgment formation to perceived self-efficacy to solve mathematical tasks. Students had to read 36 experimental vignettes describing educative scenarios to learn mathematics. Each scenario presented four manipulated pieces of information (learning modality, task difficulty, task relevance, and structure). After reading each scenario students were required to provide judgments regarding their believed self-efficacy to solve mathematical tasks described in the vignette by using a scale. Results showed that in regard to how students perceived their self-efficacy they could be grouped in two clusters (high and moderate). Most relevant factors to their judgment formation were task difficulty, task relevance and structure. Here, both groups used the same cognitive algebra mechanism to integrate factor information. Here, students valuated academic performance and feedback (e.g. difficulty and relevance) as most relevant even when they are conscious that learning is a primordial target. These and other results are discussed in the paper.

A sample of 583 individuals of different ages and from different social and cultural backgrounds took part in a semantic priming study to explore their self-concept and self-esteem mental organization and structure in the human lexicon. Findings yielded by separating the sample into four groups showed that age and cultural background affect how humans organize self-esteem content and structure. Specifically, word recognition of physical attributes related to self-esteem provides support for the idea of a fractured mental representation of the self to cope with demands of ideal body stereotypes. It is suggested that meaning formation related to physical self is different from that based on abstract self-concept and self-esteem. This conceptual organization seems to help individuals to cope with ideal body stereotype demands and to avoid possible psychological disorders related to self-esteem affecting the so-called schematic individuals.