Marjaana Veermans

Bio: Marjaana Veermans is an academic researcher from University of Turku. The author has contributed to research in topics: Educational technology & Collaborative learning. The author has an hindex of 11, co-authored 19 publications receiving 573 citations. Previous affiliations of Marjaana Veermans include University of Helsinki.

Predictors and outcomes of situational interest during a science learning task

Abstract: In this study we examined change in students’ situational interest as a function of student and task characteristics. Fifth- and sixth-graders (n = 52) were assigned to one of two task conditions that used a different version of a science simulation. The versions differed in how concrete vs. abstract the simulation elements were. Students’ prior knowledge, achievement goal orientations, and subject-specific interest were assessed before the task and situational interest was measured repeatedly in different phases of the task. Post-task performance was assessed 1 day after the task. The results showed different mean-level changes in situational interest in the two task conditions; students working with the more concrete version of the simulation reported increase in their interest while the opposite was true for students working with the more abstract version. The ratings of situational interest were nevertheless rather stable over time, regardless of the task condition. Students’ situational interest at the beginning of the task was predicted by mastery-intrinsic goal orientation and subject-specific interest. Post-task performance was predicted by prior knowledge and the task condition; students working in the more concrete task condition performed better. The importance of acknowledging both individual characteristics and task elements in the emergence of students’ situational interest is discussed.

Mobile apps for reflection in learning: A design research in K-12 education

Abstract: This study takes a design-based research approach to explore how applications designed for mobile devices could support reflection in learning in K-12 education. Use of mobile devices is increasing in schools. Most of the educational apps support single-person use of interactive learning materials, simulations and learning games. Apps designed to correspond to collaborative learning paradigms, such as collaborative progressive inquiry or project-based learning, are scarce. In these pedagogical approaches, reflection plays an important role. This paper presents a design-based research study of mobile device apps, Re Flex and Team Up, that are specifically designed for use in student-centred and collaborative school learning, in which continuous reflection is an important part of the learning process. The design of the apps has relied on earlier research on digital tools for reflection and research about mobile devices in classroom learning. The design of the apps was accomplished as part of the qualitative design-based research conducted with a total of 165 teachers in 13 European countries. As a characteristic for a design-based research, the results of the study are twofold: practical and theoretical. The apps designed, Re Flex and Team Up, are practical results of the qualitative research carried out in schools with teachers and students to understand the design challenges and opportunities in schools, to renew their pedagogical practices and to take new tools in use. To understand better the capacity of the apps to facilitate reflection, we analysed the apps in light of earlier studies concerning the levels of reflection that digital tools may support and categorisations of affordances that mobile device apps may provide for classroom learning. Our research indicates that there is potential for fostering the practice of reflection in classroom learning through the use of apps for audio-visual recordings. [ABSTRACT FROM AUTHOR]

Investigating student engagement in computer-supported inquiry: a process-oriented analysis

Abstract: The aim of this article is to describe and analyze how computer supported inquiry learning effects two secondary school students’ engagement in a literacy learning project. With comparative analysis of various sources of data we aim to understand what engagement is, how and why it changes over time and how changes in engagement are reflected in what learners do in an actual learning context. A set of methods was implemented that aimed at process-oriented analyses in a natural context of learning, that is, observations, interviews, content analysis of computer notes and an experience sampling questionnaire. The results show that even though the students had very different motivational tendencies in a traditional classroom, both of them showed progressive task engagement in this learning project. The data also illustrate how a technology supported environment can influence the way the students construct their goals and structure their activity. We conclude that multidimensional concepts, like engagement, have the potential to link the antecedents and consequences of how students behave, how they feel, and how they think, especially in the context of new pedagogical and technology-based learning environments.

The online learning process and scaffolding in student teachers’ personal learning environments

Abstract: Personal Learning Environments (PLEs) enable lifelong learning and make competences visible in education and professional life. This paper illuminates how to design an online learning process that enables deep learning through PLEs based upon our study of a scaffolding process supported by Web 2.0 tools. Professional student teachers developed their own blogs as PLEs, and we collected data from five student teacher groups. We employed the DIANA pedagogical model to design a dialogical, collaborative, and authentic learning process before comparing its activities against the activities of the five-stage model for scaffolding designed for online learning processes. The results indicate that the DIANA model includes the elements of the five-stage model, and it appears that teacher scaffolding is particularly important in student PLEs. These findings provide insights to other practitioners seeking to design and implement online learning processes that are based on collaborative knowledge construction utilizing students’ Personal Learning Environments.

Handbook of Self-Regulation of Learning and Performance

Abstract: Contents Historical, Contemporary, and Future Perspectives on Self-Regulated Learning and Performance Dale H. Schunk and Jeffrey A. Greene Section I. Basic Domains of Self-Regulation of Learning and Performance Social Cognitive Theoretical Perspective of Self-Regulation Ellen L. Usher and Dale H. Schunk Cognition and Metacognition Within Self-Regulated Learning Philip H. Winne Developmental Trajectories of Skills and Abilities Relevant for Self-Regulation of Learning and Performance Rick H. Hoyle and Amy L. Dent Motivation and Affect in Self-Regulated Learning: Does Metacognition Play a Role? Anastasia Efklides, Bennett L. Schwartz, and Victoria Brown Self-Regulation, Co-Regulation and Shared Regulation in Collaborative Learning Environments Allyson Hadwin, Sanna Jarvela, and Mariel Miller Section II. Self-Regulation of Learning and Performance in Context Metacognitive Pedagogies in Mathematics Classrooms: From Kindergarten to College and Beyond Zemira R. Mevarech, Lieven Verschaffel, and Erik De Corte Self-Regulated Learning in Reading Keith W. Thiede and Anique B. H. de Bruin Self-Regulation and Writing Steve Graham, Karen R. Harris, Charles MacArthur, and Tanya Santangelo The Self-Regulation of Learning and Conceptual Change in Science: Research, Theory, and Educational Applications Gale M. Sinatra and Gita Taasoobshirazi Using Technology-Rich Environments to Foster Self-Regulated Learning in the Social Studies Eric G. Poitras and Susanne P. Lajoie Self-Regulated Learning in Music Practice and Performance Gary E. McPherson, Peter Miksza, and Paul Evans Self-Regulation in Athletes: A Social Cognitive Perspective Anastasia Kitsantas, Maria Kavussanu, Deborah B. Corbatto, and Pepijn K. C. van de Pol Self-Regulation: An Integral Part of Standards-Based Education Marie C. White and Maria K. DiBenedetto Teachers as Agents in Promoting Students' SRL and Performance: Applications for Teachers' Dual-Role Training Program Bracha Kramarski Section III. Technology and Self-Regulation of Learning and Performance Emerging Classroom Technology: Using Self-Regulation Principles as a Guide for Effective Implementation Daniel C. Moos Understanding and Reasoning About Real-Time Cognitive, Affective, and Metacognitive Processes to Foster Self-Regulation With Advanced Learning Technologies Roger Azevedo, Michelle Taub, and Nicholas V. Mudrick The Role of Self-Regulated Learning in Digital Games John L. Nietfeld Self-Regulation of Learning and Performance in Computer-Supported Collaborative Learning Environments Peter Reimann and Maria Bannert Section IV. Methodology and Assessment of Self-Regulation of Learning and Performance Validity and the Use of Self-Report Questionnaires to Assess Self-Regulated Learning Christopher A. Wolters and Sungjun Won Capturing and Modeling Self-Regulated Learning Using Think-Aloud Protocols Jeffrey A. Greene, Victor M. Deekens, Dana Z. Copeland, and Seung Yu Assessing Self-Regulated Learning Using Microanalytic Methods Timothy J. Cleary and Gregory L. Callan Advancing Research and Practice About Self-Regulated Learning: The Promise of In-Depth Case Study Methodologies Deborah L. Butler and Sylvie C. Cartier Examining the Cyclical, Loosely Sequenced, and Contingent Features of Self-Regulated Learning: Trace Data and Their Analysis Matthew L. Bernacki Data Mining Methods for Assessing Self-Regulated Learning Gautam Biswas, Ryan S. Baker, and Luc Paquette Section V. Individual and Group Differences in Self-Regulation of Learning and Performance 26. Calibration of Performance and Academic Delay of Gratification: Individual and Group Differences in Self-Regulation of Learning Peggy P. Chen and Hefer Bembenutty 27. Academic Help Seeking as a Self-Regulated Learning Strategy: Current Issues, Future Directions Stuart A. Karabenick and Eleftheria N. Gonida 28. The Three Faces of Epistemic Thinking in Self-Regulated Learning Krista R. Muis and Cara Singh 29. Advances in Understanding Young Children's Self-Regulation of Learning Nancy E. Perry, Lynda R. Hutchinson, Nikki Yee, and Elina Maatta 30. Self-Regulation: Implications for Individuals With Special Needs Linda H. Mason and Robert Reid 31. Culture and Self-Regulation in Educational Contexts Dennis M. McInerney and Ronnel B. King

The Evolution of Research on Computer-Supported Collaborative Learning

Abstract: This chapter summarizes two decades of research on computer-supported collaborative learning (CSCL). We first review the key idea that has emerged, namely the fact that collaboration among peers can be “designed”, that is, directly or indirectly shaped by the CSCL environment. Second, we stress the fact that affective and motivational aspects that influence collaborative learning have been neglected by experimental CSCL researchers. Finally, we point out the emergence of a new trend or new challenge: integration of CSCL activities into larger pedagogical scenarios that include multiple activities and must be orchestrated in real time by the teacher.

Measuring student engagement in technology-mediated learning

Abstract: Using digital technology to deliver content, connect learners, and enable anytime, anywhere learning is increasing, but keeping students engaged in technology-mediated learning is challenging. Instructional practices that encourage greater engagement are essential if we are to effectively use digital instructional technologies. To determine the impact of innovative instructional practices on learning, we need useful measures of student engagement. These measures should be adaptable to the unique challenges to studying technology-mediated learning, such as when students learn at a distance or in a blended learning course. In this review, we examine existing approaches to measure engagement in technology-mediated learning. We identify strengths and limitations of existing measures and outline potential approaches to improve the measurement of student engagement. Our intent is to assist researchers, instructors, designers, and others in identifying effective methods to conceptualize and measure student engagement in technology-mediated learning. Consensus is needed for the definition and operationalization of student engagement.Most technology-mediated learning research uses self-report measures of engagement.Physiological and systems data offer an alternative method to measuring engagement.More research is needed to study the role of emotional engagement in learning.More research needed to determine value of physiological and systems data.

New Frontiers: Regulating Learning in CSCL.

Abstract: Despite intensive research in computer-supported collaborative learning (CSCL) over the last decade, there is relatively little research about how groups and individuals in groups engage, sustain, support, and productively regulate collaborative processes. This article examines the role of regulatory processes in collaborative learning and how CSCL environments can be used for shared regulation of learning. First, we establish the importance of regulation processes and introduce three types of regulation contributing to successful collaboration: self-, co-, and socially shared regulation of learning. Second, we illuminate two strands of seemingly diverse research that lay an important foundation for supporting and researching regulation in CSCL contexts establishing that (a) computer-based pedagogical tools used to successfully support regulation in individual learning contexts can be leveraged for collaborative task contexts, and (b) computer-based tools for supporting collaborative knowledge constructio...

Collaborative Inquiry Learning: Models, tools, and challenges

Abstract: Collaborative inquiry learning is one of the most challenging and exciting ventures for today’s schools. It aims at bringing a new and promising culture of teaching and learning into the classroom where students in groups engage in self‐regulated learning activities supported by the teacher. It is expected that this way of learning fosters students’ motivation and interest in science, that they learn to perform steps of inquiry similar to scientists and that they gain knowledge on scientific processes. Starting from general pedagogical reflections and science standards, the article reviews some prominent models of inquiry learning. This comparison results in a set of inquiry processes being the basis for cooperation in the scientific network NetCoIL. Inquiry learning is conceived in several ways with emphasis on different processes. For an illustration of the spectrum, some main conceptions of inquiry and their focuses are described. In the next step, the article describes exemplary computer tools and env...