Instructional Science 

About: Instructional Science is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Educational psychology & Instructional design. It has an ISSN identifier of 0020-4277. Over the lifetime, 1280 publications have been published receiving 69857 citations.

Formative assessment and the design of instructional systems

Abstract: The theory of formative assessment outlined in this article is relevant to a broad spectrum of learning outcomes in a wide variety of subjects. Specifically, it applies wherever multiple criteria are used in making judgments about the quality of student responses. The theory has less relevance for outcomes in which student responses may be assessed simply as correct or incorrect. Feedback is defined in a particular way to highlight its function in formative assessment. This definition differs in several significant respects from that traditionally found in educational research. Three conditions for effective feedback are then identified and their implications discussed. A key premise is that for students to be able to improve, they must develop the capacity to monitor the quality of their own work during actual production. This in turn requires that students possess an appreciation of what high quality work is, that they have the evaluative skill necessary for them to compare with some objectivity the quality of what they are producing in relation to the higher standard, and that they develop a store of tactics or moves which can be drawn upon to modify their own work. It is argued that these skills can be developed by providing direct authentic evaluative experience for students. Instructional systems which do not make explicit provision for the acquisition of evaluative expertise are deficient, because they set up artificial but potentially removable performance ceilings for students.

Phenomenography — Describing conceptions of the world around us

Abstract: Arguments are put forward in this paper in favour of research which has as its aim the finding and systematizing of forms of thought in terms of which people interpret significant aspects of reality. The kind of research argued for is complementary to other kinds of research; it aims at description, analysis and understanding of experiences. The relatively distinct field of inquiry indicated by such an orientation is labelled phenomenography. A fundamental distinction is made between two perspectives. From the first-order perspective we aim at describing various aspects of the world and from the second-order perspective (for which a case is made in this paper) we aim at describing people's experience of various aspects of the world. Research in a variety of disciplines, sub-disciplines and “schools of thought” has provided us with experiential descriptions, that is, content-oriented and interpretative descriptions of the qualitatively different ways in which people perceive and understand their reality. It has, however, seldom been recognized that these various research efforts share a common perspective in their view of phenomena and a unifying scientific identity has in consequence not been attained. The focussing on the apprehended (experienced, conceptualized,) content as a point of departure for carrying out research and as a basis for integrating the findings is seen as the most distinctive feature of the domain indicated. Conceptions and ways of understanding are not seen as individual qualities. Conceptions of reality are considered rather as categories of description to be used in facilitating the grasp of concrete cases of human functioning. Since the same categories of description appear in different situations, the set of categories is thus stable and generalizable between the situations even if individuals move from one category to another on different occasions. The totality of such categories of description denotes a kind of collective intellect, an evolutionary tool in continual development.

Promoting general metacognitive awareness

Abstract: I describe two aspects of metacognition, knowledge of cognition and regulation of cognition, and how they are related to domain-specific knowledge and cognitive abilities. I argue that metacognitive knowledge is multidimensional, domain-general in nature, and teachable. Four instructional strategies are described for promoting the construction and acquisition of metacognitive awareness. These include promoting general awareness, improving self-knowledge and regulatory skills, and promoting learning environments that are conducive to the construction and use of metacognition.

Content analysis of online discussion in an applied educational psychology course

Abstract: This study analyzed discussion in an online conferencethat supplemented class discussion using aninstructional method called the starter-wrappertechnique within a traditional graduate leveleducational psychology course. Various quantitativemeasures were recorded to compare instructor andstudent participation rates. In addition, Henri's(1992) model for content analysis of computer-mediatedcommunication was employed to qualitatively analyzethe electronic discourse. Using this model, five keyvariables were examined: (1) student participationrates; (2) electronic interaction patterns; (3) socialcues within student messages; (4) cognitive andmetacognitive components of student messages; and (5)depth of processing -- surface or deep -- within messageposting. Transcript content analyses showed that,while students tended to post just the one requiredcomment per week in the conference, their messageswere lengthy, cognitively deep, embedded with peerreferences, and indicative of a student orientedenvironment. Moreover, students were using high levelcognitive skills such as inferencing and judgment aswell as metacognitive strategies related to reflectingon experience and self-awareness. Weekly conferenceactivity graphs revealed that student electroniccomments became more interactive over time, but werehighly dependent on the directions of discussionstarter. To better understand the impact ofelectronic conferencing discourse, modifications toHenri's model as well as qualitative researchsuggestions were offered.

Cognitive Load Theory: Instructional Implications of the Interaction between Information Structures and Cognitive Architecture

Abstract: Within the cognitive load theory research community it has become customary to report theoretical and empirical progress at international conference symposia and in special issues of journals (e.g., Educational Psychologist 2003; Learning and Instruction 2002). The continuation of this custom at the 10th European Conference for Research on Learning and Instruction, 2003, in Padova, Italy, has materialized in this special issue of Instructional Science on the instructional implications of the interaction between information structures and cognitive architecture. Since the 1990s this interaction has begun to emerge as an explicit field of study for instructional designers and researchers. In this introduction, we describe the basics of cognitive load theory, sketch the origins of the instructional implications, introduce the articles accepted for this special issue as a representative sample of current research in this area, and discuss the overall results in the context of the theory. It is generally accepted that performance degrades at the cognitive load extremes of either excessively low load (underload) or excessively high load (overload) – see e.g., Teigen (1994). Under conditions of both underload and overload, learners may cease to learn. So, whereas learning situations with low processing demands will benefit from practice conditions that increase the load and challenge the learner, learning situations with an extremely high load will benefit from practice conditions that reduce the load to more manageable levels (Wulf and Shea 2002). Cognitive load theory (CLT; Paas, Renkl and Sweller 2003; Sweller 1988, 1999) is mainly concerned with the learning of complex cognitive tasks, where learners are often overwhelmed by the number of information elements and their interactions that need to be processed simultaneously before meaningful learning can commence. Instructional control of this (too) high load, in order to attain meaningful learning in complex cognitive domains, has