Dynamic task selection: Effects of feedback and learner control on efficiency and motivation

Structural features of learning tasks are relevant for problem solving but not salient for novice learners. Feedback in the form of Knowledge of Correct Response (KCR) during practice is expected to help learners recognize the structural features and to profit from learner control over the selection of learning tasks. A 2 × 2 factorial experiment (N = 118) was conducted to study the effects of the KCR feedback (present and absent) and control over the selection of learning tasks (learner control and program control). The presence of the KCR feedback yielded higher efficiency on a near-transfer test as well as higher learner motivation. An interaction between feedback and control, indicating extra beneficial effects of feedback when learners control the selection of learning tasks, was not found. Theoretical and practical implications are discussed.     

Reading during sentence composing and error correction: A multilevel analysis of the influences of task complexity

In this study we investigated the role of reading, how writers coordinate editing with other writing processes. In particular, the experiment examines how the cognitive demands of sentence composing and the type of error influence the reading and writing performance. We devised an experimental writing task in which participants corrected an embedded error (orthographic near-neighbors or far-neighbors) and completed a sentence (using 1 or 3 context words)—in either order. Data were collected by logging keystrokes and recording eye-movements. The results revealed that both error and sentence complexity influenced the approach to error-correcting. Participants generally completed the partial sentence first, and then corrected the error (approximately 90% of the items). Task complexity reinforced this tendency. Moreover, in most of these cases, the error was fixated at least once prior to sentence completion. This suggests that the error was detected (at least partially), but the correction response was inhibited. The differences in cognitive load also affect the reading activity during planning. This investigation illustrates how the interplay of two task factors, error and sentence complexity, appears to influence how writers coordinate error-correcting with sentence composing.     

Web geometry laboratory: case studies in Portugal and Serbia

The role of information and communication technologies (ICT) in education is well recognised – learning environments where the ICT features included are being proposed for many years now. The Web Geometry Laboratory (WGL) innovates in proposing a blended learning, collaborative and adaptive learning Web-environment for geometry. It integrates a well-known dynamic geometry system providing an adaptive environment where face-to-face activities can be combined with computer-mediated activities, in a collaborative or stand-alone, synchronous or asynchronous, classroom or homework way. The WGL collaborative environment allows each student to capitalise on one another's resources and skills. Its adaptive module gives to each teacher the ability to assess the geometric level of each student, allowing the teacher to build the individual profile and/or learning paths. In this paper we begin describing what are the goals that support the development of such an environment, the goals that support our beliefs in the usefulness of such an environment for the teaching and learning of geometry, after which we describe the environment and the case studies already conducted.     

Mental arithmetic in children with mathematics learning disabilities: the adaptive use of approximate calculation in an addition verification task

The adaptive use of approximate calculation was examined using a verification task with 18 third graders with mathematics learning disabilities, 22 typically achieving third graders, and 21 typically achieving second graders. Participants were asked to make true-false decisions on simple and complex addition problems while the distance between the proposed and the correct answer was manipulated. Both typically achieving groups were sensitive to answer plausibility on simple problems, were faster at rejecting extremely incorrect results than at accepting correct answers on complex addition problems, and showed a reduction of the complexity effect on implausible problems, attesting to the use of approximate calculation. Conversely, children with mathematics disabilities were unaffected by answer plausibility on simple addition problems, processed implausible and correct sums with equal speed on complex problems, and exhibited a smaller reduction of the complexity effect on implausible problems. They also made more errors on implausible problems. Different hypotheses are discussed to account for these results.     

“Do I need research skills in working life?”: University students’ motivation and difficulties in quantitative methods courses

This study explored university students’ views of whether they will need research skills in their future work in relation to their approaches to learning, situational orientations on a learning situation of quantitative methods, and difficulties experienced in quantitative research courses. Education and psychology students in both Finland (N = 46) and the USA (N = 122), who thought that they would need research skills in their future work, differed significantly from the students who were not sure whether they would need these skills. The students, who considered research skills important for their future work, were more task-oriented, used a deeper approach to learning and experienced fewer difficulties in the learning of research skills than other students. This finding implies that experiences in learning, learning approaches and situational orientations are related to expectations about future work. For instruction, this means that if we were somehow able to change students’ experiences and orientations towards research into a more positive direction, students might be better prepared for their future work.     

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.     

药物创新体制中的知识流

AMED（日本版NIH）及其制药企业,政策制定与战略规划需要循证。为此,本研究尝试基于新的指标体系进行制药行业的现状俯瞰与未来预测。本篇面向与在研药物及药物密切关联的专利,针对此专利的审查官和申请人所引用的专利及文献,并着眼于被引专利的技术领域,分析贯穿专利申请过程的知识流。