Masterclass: Excellentie in het onderwijs.

In deze Masterclass worden de begrippen ‘excellent’ en ‘hoogbegaafd’ met elkaar vergeleken vanuit multiniveau perspectief. Ingegaan wordt op verschillen die zich tijdens het doen van onderzoek manifesteren en waarmee niet altijd adequaat rekening wordt gehouden. Ook worden leerpsychologische en pedagogische accenten verhelderd. Tenslotte wordt ingegaan op noodzakelijke schoolontwikkeling in het primair en voortgezet onderwijs.

Informatietechnologisch ontwerp van een PDKS®: begrippen, structuur, werkwijzen en gebruik in de praktijk

Een Pedagogisch-Didactische KernStructuur® (PDKS®) bestaat uit een diagnostische, met name op kerndoelen en curriculumspecificaties gebaseerde systematiek voor het ontwerpen en realiseren van ‘Optimaliserend Onderwijs’ en de bijbehorende speel-/leerprocessen voor elk kind of elke leerling. In dit document wordt een nieuw ontwerp van een praktijkgerichte PDKS®-systematiek uitgewerkt die is ingebed in een webapplicatie ten behoeve van gebruik in instellingen voor vóór- en vroegschoolse educatie en in scholen voor PO en VO. Doel van dit digitale curriculumbeheersysteem is om het voor genoemde instellingen, scholen en leerkrachten / docenten gemakkelijker te maken het onderwijs en de speel-/leerprocessen verantwoord te individualiseren. Dit wil zeggen: deze onderwijs- en leerprocessen adequaat voor te bereiden en in te zetten ter ondersteuning van de ontwikkeling en de leerbehoefte, het leerniveau en het leertempo van individuele leerlingen en groepjes leerlingen in een flexibel groeps- of klasverband. De groeps- of klasorganisatie van leerlingen wordt onafhankelijk(er) van leeftijd en leerlingen kunnen verantwoord, individueel of samen, de eigen speel-/leerprocessen méér zelf reguleren. Via de hier ontwikkelde, informatietechnologisch ingebedde PDKS® kunnen essentiële onderwijs- en leerprocessen worden geïntegreerd. Bijvoorbeeld diagnostiek gebaseerd op individuele én landelijke indicatoren (dubbele diagnostiek), passende instructie en speel-/leerprocessen, vrije curriculumactiviteiten, curriculuminformatie en -beheer, en systematische evaluatie op verschillende onderwijsniveaus (leerling, groepje, groep/klas, school, bovenschools, landelijk). Samenwerking met jeugdzorg wordt eenduidiger, gemakkelijker en méér preventief. De combinatie van resultaten van landelijk genormeerde toetsing en de schoolgebonden evaluatie van leerarrangementen levert tevens concreet zicht op de feitelijke ‘schoolkwaliteit’.

Naar verantwoorde zelfregulatie in opvoeding, onderwijs en diagnostiek.

De beoordeling van vorderingen en inzet van (extra) diagnostiek ('indicatiestelling') in het onderwijs kunnen de kans op het ontstaan van problemen bij een kind vergroten. Tijdige herkenning en preventieve ondervanging van de problemen vragen veranderingen in de inhoudelijke, evaluatieve, didactisch-organisatorische en diagnostische systematieken in en rond scholen. Daarom wordt gewerkt aan de opbouw van een inhoudelijk integrerende, pedagogisch-didactische kernstructuur (PDKS). Deze helpt de dialoog en samenwerking tussen opvoedeling(en) of leerling(en), opvoeder(s), leerkracht(en) en andere professionals eenduidig in te richten en te optimaliseren. Didactisch-organisatorische steun wordt verleend door passende software in de vorm van 'Diagnostische, Instructie en Management Systemen' (DIMS). De beoogde veranderingen worden samen met leerkrachten en schoolleidingen ontwikkeld en proefondervindelijk gerealiseerd in enkele scholen voor primair onderwijs. De schoolontwikkeling biedt de contextuele condities ter realisatie van 'verantwoorde zelfregulatie' van elk kind of elke leerling. Dit wordt toegelicht in verschillende praktijkvoorbeelden. Ook worden volgende ontwikkelingen geschetst.

Unraveling networked learning initiatives: an analytic framework

Networked learning happens naturally within the social systems of which we are all part. However, in certain circumstances individuals may want to actively take initiative to initiate interaction with others they are not yet regularly in exchange with. This may be the case when external influences and societal changes require innovation of existing practices. This paper proposes a framework with relevant dimensions providing insight into precipitated characteristics of designed as well as ‘fostered or grown’ networked learning initiatives. Networked learning initiatives are characterized as “goal-directed, interest-, or needs based activities of a group of (at least three) individuals that initiate interaction across the boundaries of their regular social systems”. The proposed framework is based on two existing research traditions, namely 'networked learning' and 'learning networks', comparing, integrating and building upon knowledge from both perspectives. We uncover some interesting differences between definitions, but also similarities in the way they describe what ‘networked’ means and how learning is conceptualized. We think it is productive to combine both research perspectives, since they both study the process of learning in networks extensively, albeit from different points of view, and their combination can provide valuable insights in networked learning initiatives. We uncover important features of networked learning initiatives, characterize actors and connections of which they are comprised and conditions which facilitate and support them. The resulting framework could be used both for analytic purposes and (partly) as a design framework. In this framework it is acknowledged that not all successful networks have the same characteristics: there is no standard ‘constellation’ of people, roles, rules, tools and artefacts, although there are indications that some network structures work better than others. Interactions of individuals can only be designed and fostered till a certain degree: the type of network and its ‘growth’ (e.g. in terms of the quantity of people involved, or the quality and relevance of co-created concepts, ideas, artefacts and solutions to its ‘inhabitants’) is in the hand of the people involved. Therefore, the framework consists of dimensions on a sliding scale. It introduces a structured and analytic way to look at the precipitation of networked learning initiatives: learning networks. Successive research on the application of this framework and feedback from the networked learning community is needed to further validate it’s usability and value to both research as well as practice.

Unraveling networked learning initiatives: an analytic framework

Networked learning happens naturally within the social systems of which we are all part. However, in certain circumstances individuals may want to actively take initiative to initiate interaction with others they are not yet regularly in exchange with. This may be the case when external influences and societal changes require innovation of existing practices. This paper proposes a framework with relevant dimensions providing insight into precipitated characteristics of designed as well as ‘fostered or grown’ networked learning initiatives. Networked learning initiatives are characterized as “goal-directed, interest-, or needs based activities of a group of (at least three) individuals that initiate interaction across the boundaries of their regular social systems”. The proposed framework is based on two existing research traditions, namely 'networked learning' and 'learning networks', comparing, integrating and building upon knowledge from both perspectives. We uncover some interesting differences between definitions, but also similarities in the way they describe what ‘networked’ means and how learning is conceptualized. We think it is productive to combine both research perspectives, since they both study the process of learning in networks extensively, albeit from different points of view, and their combination can provide valuable insights in networked learning initiatives. We uncover important features of networked learning initiatives, characterize actors and connections of which they are comprised and conditions which facilitate and support them. The resulting framework could be used both for analytic purposes and (partly) as a design framework. In this framework it is acknowledged that not all successful networks have the same characteristics: there is no standard ‘constellation’ of people, roles, rules, tools and artefacts, although there are indications that some network structures work better than others. Interactions of individuals can only be designed and fostered till a certain degree: the type of network and its ‘growth’ (e.g. in terms of the quantity of people involved, or the quality and relevance of co-created concepts, ideas, artefacts and solutions to its ‘inhabitants’) is in the hand of the people involved. Therefore, the framework consists of dimensions on a sliding scale. It introduces a structured and analytic way to look at the precipitation of networked learning initiatives: learning networks. Successive research on the application of this framework and feedback from the networked learning community is needed to further validate it’s usability and value to both research as well as practice.

Predicting Student Performance and Differences in Learning Styles based on Textual Complexity Indices applied on Blog and Microblog Posts

Social media tools are increasingly popular in Computer Supported Collaborative Learning and the analysis of students' contributions on these tools is an emerging research direction. Previous studies have mainly focused on examining quantitative behavior indicators on social media tools. In contrast, the approach proposed in this paper relies on the actual content analysis of each student's contributions in a learning environment. More specifically, in this study, textual complexity analysis is applied to investigate how student's writing style on social media tools can be used to predict their academic performance and their learning style. Multiple textual complexity indices are used for analyzing the blog and microblog posts of 27 students engaged in a project-based learning activity. The preliminary results of this pilot study are encouraging, with several indexes predictive of student grades and/or learning styles.

Students’ Use of Knowledge Resources in Environmental Interaction on an Outdoor Learning Trail

This study examined how students leveraged different types of knowledge resources on an outdoor learning trail. We positioned the learning trail as an integral part of the curriculum with a pre- and post-trail phase to scaffold and to support students’ meaning-making process. The study was conducted with two classes of secondary two students. We coded two groups’ discourse to examine the use of knowledge resource types in the meaning-making process in an outdoor learning setting: contextual resource, new conceptual resource, prior knowledge resource, as well as the relationship among these knowledge resource types. Next, we also examined environmental interaction and integration in the students’ use of these knowledge resource types. Analysis showed that contextual resources are chiefly instrumental in fostering students’ capacity to harness new conceptual resource and to activate prior knowledge resource in interacting with and integrating the outdoor learning environment in the meaning-making process.