Representing one of the influential motivational variables on learning, interest includes both cognitive and affective components, arising from the interplay between an individual and a particular content and environment (Dewey, 1913; Hidi, Renninger, and Krapp, 2004). According to Hidi & Renninger (2004), interest can develop from situational to individual interest and be strengthened along with external support. On the basis of their propositions, this report explores how student interest may be intensified by enhancing cognitive facets of interest through the teacher’s instructional support. From the perspective of self-determination theory (SDT), support for autonomy as a contextual factor has been reported as a catalyst for student interest and engagement. In particular, Stefanou, Perencevich, DiCintio, and Turner (2004) stressed the importance of cognitive autonomy support as an instructional support in terms of deep-level thinking and cognitive engagement in comparison to other types of autonomy support such as by providing students choice in class. This report explores how different levels and types of student interest are associated with different types of autonomy support in an educational setting, focusing on cognitive aspects. Using a path analysis, this paper presents a full model to undergird a study of the direct and indirect relationships between student interest, different types of autonomy support, and cognitive engagement. / text

The purpose of the dissertation was to explore how students’ perceptions of different types of autonomy support can be associated with the motivational construct of student interest, differentiated into situational and individual interest, mediated by different levels of cognitive processing such as surface processing and deep processing, using SEM (structural equation modeling). It was hypothesized that 1) PCAS (perceived cognitive autonomy support) would influence students’ individual interest, the later phase of interest development, and also that 2) the relationship between these would be mediated by deep level of cognitive processing, referred to as deep processing in the study, highlighting the impact of PCAS on both cognitive processing and motivation. To this end, there were three phases to the current study: (a) a first qualitative phase using open-ended questions and a focus group interview about whether and how students perceive and experience different types of autonomy support they encounter from their instructors (Study1A); (b) a second scale development phase to develop and finalize the PCAS-K (perceived cognitive autonomy support, Korean version) and PC-K (perceived choice, Korean version) in the Korean educational context (Study1B); and (c) a third phase to investigate the relationships among students’ perceptions of various types of autonomy support, different levels of cognitive processing, and student interest (Study2, main study). The results suggested that perceived cognitive autonomy support was positively related to situational interest directly and also indirectly to both situational and individual interest, whereas perceived choice was associated with neither interest constructs. In addition, perceived cognitive autonomy support was highly correlated with other constructs such as surface processing and deep processing, whereas perceived choice was not related to any other latent variables in the study. In contrast to my expectations, perceived cognitive autonomy support was not positively related to individual interest by mediation of deep processing. Instead, perceived cognitive autonomy support was positively associated with situational interest, mediated by deep processing. In light of the findings, the study spotlights cognitive autonomy support as a significant predictor of cognitive processing and student motivation. Further research is needed with different individuals in various contexts in order to elucidate further the relationships among these variables. / text

This thesis summarizes a study conducted to explore the effect of an educational intervention on cognitive autonomy, identity, hope, and educational aspirations. The primary goal of this study was to investigate (1) the impact of awareness and readiness educational intervention on low-income adolescents’ cognitive autonomy, identity, hope, and educational intentions, and (2) how the low-income adolescents receiving the awareness readiness educational intervention compared to adolescents who did not receive the intervention. The Cognitive Autonomy and Self-Evaluation (CASE) inventory, the Modified Extended Version of the Object Measure of Ego Identity Status (EOMEIS), The Children’s Hope Scale, and a self-report of educational aspirations were used to measure the four variables in this study. Subjects included 38 adolescents, ages 13 to 17, from lower socioeconomic status (SES), located in the two different school districts who participate in the GEAR UP intervention, and a comparison sample included 47 adolescents, ages 14 to 17, from various classes at a local high school. Findings reveal that changes from time 1 to time 2 (four months) for adolescents participating in the educational intervention were not significant in three of the four areas. The educational aspirations results were statistically significant. The adolescents in the educational intervention group and from the comparison sample found to be similar on all measures, thus establishing a form or social validation. Results may be contingent on the type of sample obtained and testing procedures. The results of this study indicate there may need to be further research in this area.

This study examined the relationship between adolescents' use of texting and their level of identity development, cognitive autonomy, and self-esteem. One hundred and nineteen Utah State University students participated in this study by filling out a questionnaire that included a section designed specifically to learn the texting habits of the participants, and also included sections derived from previously existing measures on identity, autonomy, and self-esteem. The results show statistical significance of age and texting. Participants who were 23 years+ sent significantly less than those participants who were 19-22 years. Areas of gender, identity, and self-esteem were also analyzed. Implications of these findings for future research were also discussed.

This Master thesis aims to solve the question of developmentally-creative possibilities in the schooling process. This question is contextualized education of socially disadvantaged pupils. Because in shaping the learning competencies, this area is not developed enough and specific methods are somewhat rigid, it will be introduced one of the option how to to develop learning skills and abilities of the pupils , and which are in the teaching competencies deemed as essential. In this context will be introduced stimulatory and intervention program of Instrumental Enrichment as a concrete form of execution of Mediated learning and also as an effort of perspective innovation of curriculum. With the intention to point out the limitless possibilities of developing pupil's learning potential, the text focuses on the theoretical and conceptual bases, which constitute the entire program. The program is the instrumental set of tools that lead to the activation of cognitive structures and their subsequent enrichment. Therefore, except the theoretical foundations are also presented cognitive strategies metacognitive training that simplify cognitive modifiability, and that lead to the development of pupils' learning potential.

Cognitive autonomy of an autonomous system depends on its cyber module's ability to comprehend the actions and intent of the applications and services running on that system. The autonomous system should be able to accomplish this without or with limited human intervention. These mission-critical autonomous systems are often deployed in unpredictable and dynamic environments and are vulnerable to evasive cyberattacks. In particular, some of these cyberattacks are Advanced Persistent Threats where an attacker conducts reconnaissance for a long period time to ascertain system features, learn system defenses, and adapt to successfully execute the attack while evading detection. Thus an autonomous system's cognitive autonomy and cybersecurity intelligence depend on its capability to learn, classify applications (good and bad), predict the attacker's next steps, and remain operational to carryout the mission-critical tasks even under cyberattacks. In this dissertation, we propose novel learning and prediction models for enhancing cognitive autonomy and cybersecurity in autonomous systems. We develop (1) a model using deep learning along with a model selection framework that can classify benign and malicious operating contexts of a system based on performance counters, (2) a deep learning based natural language processing model that uses instruction sequences extracted from the memory to learn and profile the behavior of evasive malware, (3) a scalable deep learning based object detection model with data pre-processing assisted by fuzzy-based clustering, (4) fundamental guiding principles for cognitive autonomy using Artificial Intelligence (AI), (5) a model for privacy-preserving autonomous data analytics, and finally (6) a model for backup and replication based on combinatorial balanced incomplete block design in order to provide continuous availability in mission-critical systems. This research provides effective and computationally efficient deep learning based solutions for detecting evasive cyberattacks and increasing autonomy of a system from application-level to hardware-level. <br>