Differential effects of problem-solving demands on individual and collaborative learning outcomes

The effectiveness and efficiency of individual versus collaborative learning was investigated as a function of instructional format among 140 high school students in the domain of biology. The instructional format either emphasized worked examples, which needed to be studied or the equivalent problems, which needed to be solved. Because problem solving imposes a higher cognitive load for novices than does studying worked examples it was hypothesized that learning by solving problems would lead to better learning outcomes (effectiveness) and be more efficient for collaborative learners, whereas learning by studying worked examples would lead to better learning outcomes and be more efficient for individual learners. The results supported these crossover interaction hypothesis. Consequences of the findings for the design of individual and collaborative learning environments are discussed.     

Elementary school students’ strategic learning: does task-type matter?

This study investigated what types of learning patterns and strategies elementary school students use to carry out ill- and- well-structured tasks. Specifically, it was investigated which and when learning patterns actually emerge with respect to students’ task solutions. The present study uses computer log file traces to investigate how conditions of task types that might affect strategic learning. Elementary school students (N = 12) participated in two science study lessons. During these lessons the students were asked to solve well- and ill-structured tasks. For both of these tasks, the students used the gStudy learning environment designed to support strategic learning. In addition, gStudy records traces of each student’s strategic actions as they proceed with tasks. First, the students’ task solutions was rated according to three categories, namely “on track”, “off track” and “partial solution”. Second, learning patterns in terms of learning strategies that emerged throughout these tasks were investigated. Third, detailed cross case analysis was used to explore in depth how and when these learning patterns were used with respect to the students’ task solutions. The results show that young students’ can provide in-depth task solutions, but also adapt to the task complexity. However, despite the task types being different, the students had same types of learning patterns. The detailed cross-case comparison of the students’ task solutions with respect to learning patterns indicates that there are intra individual differences concerning how students allocate their learning strategy use. Especially if the task is ill-structured, it can also mislead the students to focus on irrelevant aspects and hinder strategic learning.     

A computer-supported method to reveal and assess Personal Professional Theories in vocational education

This article introduces a dedicated, computer-supported method to construct and formatively assess open, annotated concept maps of Personal Professional Theories (PPTs). These theories are internalised, personal bodies of formal and practical knowledge, values, norms and convictions that professionals use as a reference to interpret and acquire knowledge, and to direct their behaviour, and which vocational students are expected to develop. Monitoring the development of PPTs and assessing their quality are difficult as they are, essentially, mental schemes. Traditional methods, such as semi-structured interviews and concept mapping, are either too labour-intensive to be used in an educational setting or are not able to reveal their full quality. The study presents a new method which is valid, reliable and easy to use in education and which reveals the quality in a way that is comparable to or better than interviews.     

A model for optimizing step size of learning tasks in competency-based multimedia practicals

Learners are often overwhelmed by the complexity of realistic learning tasks, but reducing this complexity through traditional Instructional Design (ID) methods jeopardizes the authenticity of the learning experience. To solve this apparent paradox, a two-phase ID model is presented. Phase 1 consists of cognitive task analysis, where a systematic approach to problem solving (SAP) is identified in conjunction with skill decomposition and determination of task complexity. In the subsequent design phase, inductive micro-level sequencing based on the four-component ID model (van Merriënboer, 1997) is applied where worked-out examples and problems accompanied by process worksheets assure the necessary variability of practice. Step size in a multiple-step whole-task approach—needed for the process worksheets—is determined on the basis of estimated part-task complexity. A developmental study of the model is illustrated with examples from the domain of law.     

How Expert Designers Design

Two studies were carried out with expert educational designers at Arthur Andersen and the Open University of the Netherlands to determine the priorities they employed when designing competence‐based learning environments. Designers in a university context and in a business context agree almost completely on what principles are important, the most important being that one should start a design enterprise from the needs of the learners, instead of the content structure of the learning do main. The main difference between the two groups is that university designers find it extremely important to consider alternative solutions during the whole design process; something that is considerably less important by business designers. University designers also tend to focus on the project plan and the desired characteristics of the instructional blueprint whereas business designers were much more client‐oriented and stressed the importance of “buying in” the client early in the process.