The recruitment process of the Shining Path and MRTA guerrilla groups: A political psychological perspective

This thesis is an analysis of the recruitment process of the Shining Path -SP- and Revolutionary Movement “Túpac Amaru” -MRTA- guerrilla groups. Although SP was considered more aggressive, it gained more followers than MRTA. This thesis tries to explain why. Social Revolution Theory and Social Movement Theory provide explanations based on issues of “poverty”, disregarding the specific characteristics of the guerrilla groups and their supporters, as well as the influence of specific persuasive processes between the leaders of the groups and their followers. Integrative complexity theory, on the contrary, provides a consistent method to analyze cognitive processes: because people tend to reject complex and sophisticated explanations that require mental efforts, simplicity was the key for success. To prove which guerrilla group provided a simpler worldview, a sample of official documents of SP and MRTA are compared. Finally, content analysis is applied through the Paragraph Completion Test (P.C.T.). ^

A Phenomenological Study of Learning Processes at Work: Confirming, Extending, and Challenging Holistic Learning Theory

Holistic learning theory (Yang, 2003) identified explicit, implicit, and emancipatory knowledge facets in learning. A phenomenological study of how participants’ experienced interactions between knowledge facets showed the facets expressed, informed, changed, and guided one another. The complexity of learning and the role of spirituality in learning were explored.

Improving Novice Analyst Performance in Modeling the Sequence Diagram in Systems Analysis: A Cognitive Complexity Approach

The Unified Modeling Language (UML) has quickly become the industry standard for object-oriented software development. It is being widely used in organizations and institutions around the world. However, UML is often found to be too complex for novice systems analysts. Although prior research has identified difficulties novice analysts encounter in learning UML, no viable solution has been proposed to address these difficulties. Sequence-diagram modeling, in particular, has largely been overlooked. The sequence diagram models the behavioral aspects of an object-oriented software system in terms of interactions among its building blocks, i.e. objects and classes. It is one of the most commonly-used UML diagrams in practice. However, there has been little research on sequence-diagram modeling. The current literature scarcely provides effective guidelines for developing a sequence diagram. Such guidelines will be greatly beneficial to novice analysts who, unlike experienced systems analysts, do not possess relevant prior experience to easily learn how to develop a sequence diagram. There is the need for an effective sequence-diagram modeling technique for novices. This dissertation reports a research study that identified novice difficulties in modeling a sequence diagram and proposed a technique called CHOP (CHunking, Ordering, Patterning), which was designed to reduce the cognitive load by addressing the cognitive complexity of sequence-diagram modeling. The CHOP technique was evaluated in a controlled experiment against a technique recommended in a well-known textbook, which was found to be representative of approaches provided in many textbooks as well as practitioner literatures. The results indicated that novice analysts were able to perform better using the CHOP technique. This outcome seems have been enabled by pattern-based heuristics provided by the technique. Meanwhile, novice analysts rated the CHOP technique more useful although not significantly easier to use than the control technique. The study established that the CHOP technique is an effective sequence-diagram modeling technique for novice analysts.