A novel computational cognitive model explains human procedural error in terms of declarative memory processes. This is an early version of a process model intended to predict and explain multiple classes of procedural error a priori. We begin with postcompletion error (PCE), a type of systematic procedural error that people are prone to commit when there is one step to perform after they have ...

Self-adaptive systems need to be designed with respect to threats within their operating conditions. Identifying such threats during the design phase can benefit from the involvement of stakeholders. Using a system model, the stakeholders, who may neither be IT experts nor security experts, can identify threats as a first step towards formulating security requirements. To support it, the modeli...

The combination Computer Based Training systems with Artificial Intelligence and Cognitive Science has led to the development of Intelligent Tutoring Systems nearly 30 years ago. A common agreement has been reached about the constituents of an Intelligent Tutoring System (ITS). Nonetheless, the interpretation of the role of each component in the ITS is still heterogeneous. Together with the abs...

Although (business) process models are frequently used to promote human understanding of processes, practice shows that understanding complex models soon reach cognitive limits. The aim of this paper is to investigate the cognitive difficulty of understanding different relations between model elements. To allow for empirical assessment of this research question we systematically constructed mod...

Designing a new domain specific language is as any other complex task sometimes error-prone and usually time consuming, especially if the language shall be of high-quality and comfortably usable. Existing tool support focuses on the simplification of technical aspects but lacks support for an enforcement of principles for a good language design. In this paper we investigate guidelines that are ...

According to dual process theory, there are two systems in the mind: an intuitive and automatic System 1 and a logical and effortful System 2. While many previous studies about number estimation have focused on simple heuristics and automatic processes, the deliberative System 2 process has not been sufficiently studied. This study focused on the System 2 process for large number estimation. Fi...

Objective: The aim of this study was to investigate the associations among measured physical fitness, perceived fitness, intention towards future physical activity and self-reported physical activity through junior high school years. Methods: Study participants included 122 Finnish students who were 13 years old during Grade 7. The sample was comprised of 80 girls and 42 boys from 3 junior high...

This paper proposes the use of cognitive schemata to model metacognitive social phenomena, characterizing the reciprocity between micro and macro dimensions in an organization. The main idea that rationalizes this research is that explicit modeling of social cognitive constructs might improve the understanding of organizational culture and learning processes. In this sense, organizational actor...

Current workflow management systems require the explicit design of the workflows that express the business process of an organization. This process design is very time consuming and error prone. Considerable work has been done to develop heuristics to mine event-data logs to produce a process model that can support the workflow design process. However, all the existing heuristic-based mining al...

While goal orientation and related factors like learner selfefficacy are of great interest to learning science researchers, some voice concerns regarding the measurement of such factors using self-report questionnaires. To address these concerns, recent work has explored the use of behavioral indicators like hint-seeking and glossary use in intelligent tutoring systems like Carnegie Learning’s ...