Cognitive Load Theory is one of the most powerful research frameworks in educational research. Beside theoretical discussions about the conceptual parts of cognitive load, the main challenge within this framework is that there is still no measurement instrument for the different aspects of cognitive load, namely intrinsic, extraneous, and germane cognitive load. Hence, the goal of this paper is to develop a differentiated measurement of cognitive load. In Study 1 (N = 97), we developed and analyzed two strategies to measure cognitive load in a differentiated way: (1) Informed rating: We trained learners in differentiating the concepts of cognitive load, so that they could rate them in an informed way. They were asked then to rate 24 different learning situations or learning materials related to either high or low intrinsic, extraneous, or germane load. (2) Naïve rating: For this type of rating of cognitive load we developed a questionnaire with two to three items for each type of load. With this questionnaire, the same learning situations had to be rated. In the second study (N = between 65 and 95 for each task), we improved the instrument for the naïve rating. For each study, we analyzed whether the instruments are reliable and valid, for Study 1, we also checked for comparability of the two measurement strategies. In Study 2, we conducted a simultaneous scenario based factor analysis. The informed rating seems to be a promising strategy to assess the different aspects of cognitive load, but it seems not economic and feasible for larger studies and a standardized training would be necessary. The improved version of the naïve rating turned out to be a useful, feasible, and reliable instrument. Ongoing studies analyze the conceptual validity of this measurement with up to now promising results.

BackgroundIncreasing prevalences of overweight and obesity in children are known problems in industrialized countries. Early prevention is important as overweight and obesity persist over time and are related with health problems later in adulthood. "Komm mit in das gesunde Boot - Grundschule" is a school-based program to promote a healthier lifestyle. Main goals of the intervention are to increase physical activity, decrease the consumption of sugar-sweetened beverages, and to decrease time spent sedentary by promoting active choices for healthy lifestyle. The program to date is distributed by 34 project delivery consultants in the state of Baden-Württemberg and is currently implemented in 427 primary schools. The efficacy of this large scale intervention is examined via the Baden-Württemberg Study.Methods/DesignThe Baden-Württemberg Study is a prospective, stratified, cluster-randomized, and longitudinal study with two groups (intervention group and control group). Measurements were taken at the beginning of the academic years 2010/2011 and 2011/2012. Efficacy of the intervention is being assessed using three main outcomes: changes in waist circumference, skinfold thickness and 6 minutes run. Stratified cluster-randomization (according to class grade level) was performed for primary schools; pupils, teachers/principals, and parents were investigated. An approximately balanced number of classes in intervention group and control group could be reached by stratified randomization and was maintained at follow-up.DiscussionAt present, "Komm mit in das Gesunde Boot - Grundschule" is the largest school-based health promotion program in Germany. Comparative objective main outcomes are used for the evaluation of efficacy. Simulations showed sufficient power with the existing sample size. Therefore, the results will show whether the promotion of a healthier lifestyle in primary school children is possible using a relatively low effort within a school-based program involving children, teachers and parents. The research team anticipates that not only efficacy will be proven in this study but also expects many other positive effects of the program.Trial registrationGerman Clinical Trials Register (DRKS), DRKS-ID: DRKS00000494

Instructional design deals with the optimization of learning processes. To achieve this, three aspects need to be considered: (1) the learning task itself, (2) the design of the learning material, and (3) the activation of the learner’s cognitive processes during learning. Based on Cognitive Load Theory, learners also need to deal with the task itself, the design of the material, and the decision on how much to invest into learning. To link these concepts, and to help instructional designers and teachers, cognitive load during learning needs to be differentially measured. This article reviews studies using a questionnaire to measure intrinsic, extraneous and germane cognitive load in order to provide evidence for the instruments’ prognostic validity. Six exemplary studies from different domains with different variations of the learning material were chosen to show that the theoretically expected effects on different types of load are actually reflected in the learners’ answers in the questionnaire. Major hypotheses regarding the different load types were (1) variations in difficulty are reflected in the scale on intrinsic cognitive load, (2) variations in design are reflected in the scale on extraneous cognitive load, and (3) variations in enhancing deeper learning through activation of cognitive processes are reflected in the scale on germane cognitive load. We found prognostic validity to be good. The review concludes by discussing the practical and theoretical implications, as well as pointing out the limitations and needs for further research.

In cognitive load theory (CLT), the role of different types of cognitive load is still under debate. Intrinsic cognitive load (ICL) and germane cognitive load (GCL) are assumed to be highly interlinked but provide different perspectives. While ICL mirrors the externally given task affordances which learners experience passively, germane resources are invested by the learner actively. Extraneous affordances (ECL) are also experienced passively. The distinction of passively experienced load and actively invested resources was inspired by an investigation where we found differential effects of a learning strategy training, which in fact resulted in reduced passive load and increased actively invested effort. This distinction is also mirrored in the active and passive forms for effort in German language: “es war anstrengend” (it has been strenuous) vs. “ich habe mich angestrengt” (I exerted myself). In two studies, we analyzed whether we could distinguish between these active and passive aspects of load by using these phrases and how this distinction relates to the three-partite concept of CLT. In two instructional design studies, we included the active and passive items into a differentiated cognitive load questionnaire. We found the factor structure to be stable, with the passive item loading on the ICL factor and the active item loading on the GCL factor. We conclude that it is possible to distinguish between active and passive aspects of load and that further research on this topic could be constructive, especially for learning tasks where learners act in a more self-regulated way and learner characteristics are taken into account.

Figure 1. In P.I.A.N.O., (a) music notation is projected onto the piano to facilitate direct mapping of notes to respective piano keys. Correct fingering is supported with color highlights. (b) The basic piano roll notation is extended to support articulations (legato, staccato) and note ornaments (trill, grace notes). (c) The learning process is supported by three learning modes (listen, practice, play). (d) After practicing a song, the play mode provides detailed feedback on the achieved skill level. ABSTRACTLearning to play the piano is a prolonged challenge for novices. It requires them to learn sheet music notation and its mapping to respective piano keys, together with articulation details. Smooth playing further requires correct finger postures. The result is a slow learning progress, often causing frustration and strain. To overcome these issues, we propose P.I.A.N.O., a piano learning system with interactive projection that facilitates a fast learning process. Note information in form of an enhanced piano roll notation is directly projected onto the instrument and allows mapping of notes to piano keys without prior sight-reading skills. Three learning modes support the natural learning process with live feedback and performance evaluation. We report the results of two user studies, which show that P.I.A.N.O. supports faster learning, requires significantly less cognitive load, provides better user experience, and increases perceived musical quality compared to sheet music notation and non-projected piano roll notation.

Multimedia learning research addresses the question of how to design instructional material effectively. Signaling and adding graphics are typical instructional means that might support constructing a mental model, particularly when learning abstract content from multiple representations. Although signals can help to select relevant aspects of the learning content, additional graphics could help to visualize mentally the subject matter. Learners’ prior knowledge is an important factor for the effectiveness of both types of support: signals and added graphics. Therefore, we conducted an experimental study situated in a university course of computer science with N = 124 participants. In our 2 × 2 factorial design, we investigated the effects of signals and illustrating graphics on learning outcomes and their potential interplay. Based on our regression analysis, we revealed prior knowledge as a significant moderator. Although learners with low levels of prior knowledge can profit from all types of help but still gain rather weak learning outcomes, learners with medium levels of prior knowledge profit from the synergy of both helps. With higher levels of prior knowledge, signals were particularly hampering. To improve the understanding of these supportive or hampering effects, a more fine-grained analysis of these processes and motivational effects is necessary.

Maintaining and enhancing the willingness of a user to interact with a technical system is crucial for human-computer interaction (HCI). Trust has shown to be an important factor influencing the frequency and kind of usage. In this paper we present our ongoing work on using explanations to maintain the trust relationship between human and computer. We describe an experiment on how different goals of explanations can be used to influence the bases of human-computer trust in a directed way. We present the results of a conducted preliminary study and outline how to improve the experiment so as to be able to include the results in an existing dialogue system.

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