This thesis presents the results of a qualitative research about the difficulties that are present in the teaching and learning process of two Human-Computer Interaction (HCI) evaluation methods. It concerns the Semiotic Inspection Method (SIM) and the Communicability Evaluation Method (CEM) both proposed by Semiotic Engineering to analyze the quality of the communication between the designer and the user through the interface of interactive systems. The research consisted of fourteen interviews and the analysis of the development of three HCI disciplines, from which three sets of results were mapped and analyzed: (i) practical difficulties mainly related to the limited time to work with a extensive volume of HCI topics, to crowed classes and to the lack of teaching material and examples of the methods´ application; (ii) difficulties in the development of three abilities heavily dependent on one another and required to the methods learning – systematic interpretation, abstraction and broad view; and (iii) teaching initiatives to minimize the identified difficulties. These results are interpreted in relation to both the difficulties specific to the Semiotic Engineering context and to those that are shared by other HCI approaches and by classical and fundamental Computer Science areas. The difficulties to interpret, abstract and to construct a broad view of a problem are far from being specific to the teaching of the methods under investigation, are serious obstacles for the education of many areas and stages of training in Computer Science. Specific or general solutions of a particular area are, in fact, contributions to the development of abilities that, once acquired, will make the teaching and learning process of other areas, where these abilities are also essential, easier. Thus, the identification and analysis of difficulties found in the Semiotic Engineering context are contributions that may benefit both the teaching process of the theory and its methods and the teaching of other topics and areas of Computer Science. The main contributions of this work are related, thus, to the identification of some factors that must guide the reflection about the academic and professional training in Computer Science, and serve as reference to the formulation of strategies and to the development of teaching material to its diverse areas.