Applying the Structure of the Observed Learning Outcomes (SOLO) Taxonomy on Student's Learning Outcomes: An empirical study

This article explores the application of different educational taxonomies in measuring students' cognitive learning outcomes. The objectives were to compare three educational taxonomies--namely, the Structure of the Observed Learning Outcomes (SOLO) taxonomy, Bloom's taxonomy and reflective thinking measurement model--and to test the application value of these taxonomies. A comparative literature review was conducted to provide an underlying conceptual framework. Recommendations from this review were examined experimentally. Scripts of long essay papers and short classroom discussion responses were analyzed by the modified versions of the taxonomies. It was found that SOLO is suitable for measuring different kinds of learning outcomes. However, finer categorization of SOLO levels did not eradicate the problem of SOLO's conceptual ambiguity. It is suggested that the next step of research should be on setting up panels of judges to find out which taxonomy is suitable for measuring what learning outcomes under which contexts.     

Complex Systems in Education: Scientific and Educational Importance and Implications for the Learning Sciences

The multidisciplinary study of complex systems in the physical and social sciences over the past quarter of a century has led to the articulation of important new conceptual perspectives and methodologies that are of value both to researchers in these fields as well as to professionals, policymakers, and citizens who must deal with challenging social and global problems in the 21st century. The main goals of this article are to (a) argue for the importance of learning these ideas at the precollege and college levels; (b) discuss the significant challenges inherent in learning complex systems knowledge from the standpoint of learning sciences theory and research; (c) discuss the "learnability issue" of complex systems conceptual perspectives and review a body of literature that has been exploring how learning sciences pedagogical approaches can lead to student learning of important dimensions of complex systems knowledge; (d) argue that the cognitive and sociocultural factors related to learning complex systems knowledge are relevant and challenging areas for learning sciences research; and (e) consider ways that concepts and methodologies from the study of complex systems raise important issues of theoretical and methodological centrality in the field of the learning sciences itself.     

Agroecology Education: Action-oriented Learning and Research

Abstract

Purpose: This article examines and evaluates the potential contributions from action learning and action research with stakeholders to higher education in agriculture and food systems.

Design/Methodology/Approach: The research is based on our experiences over the past two decades of running PhD courses and an MSc degree programme in Agroecology in Norway that have attracted students from the Nordic region and other countries.

Findings: We conclude that collaborating with non-university stakeholders as an integral part of a university course or programme serves four main purposes, two directly related to learning and two that can be considered as practical implications. Firstly, it enables learning about complex topics, a learning that cannot be achieved by merely reading or listening. Secondly, the real-life flare of such activities provides the students with enthusiasm and energy to delve into theory.

Practical Implications: Thirdly, students collaborating with non-university stakeholders connect university and society. Fourthly, this process builds social relevance and civic engagement not found in conventional courses or curricula.

Originality/Value: The article presents conceptual foundations and practical implementation of a unique educational programme in agriculture and food systems.     

Learning and Collective Knowledge Construction With Social Media: A Process-Oriented Perspective

Social media are increasingly being used for educational purposes. The first part of this article briefly reviews literature that reports on educational applications of social media tools. The second part discusses theories that may provide a basis for analyzing the processes that are relevant for individual learning and collective knowledge construction. We argue that a systems-theoretical constructivist approach is appropriate to examine the processes of educational social media use, namely, self-organization, the internalization of information, the externalization of knowledge, and the interplay of externalization and internalization providing the basis of a co-evolution of cognitive and social systems. In the third part we present research findings that illustrate and support this systems-theoretical framework. Concluding, we discuss the implications for educational design and for future research on learning and collective knowledge construction with social media.     

A Framework for Designing Scaffolds That Improve Motivation and Cognition

A problematic, yet common, assumption among educational researchers is that when teachers provide authentic, problem-based experiences, students will automatically be engaged. Evidence indicates that this is often not the case. In this article, we discuss (a) problems with ignoring motivation in the design of learning environments, (b) problem-based learning and scaffolding as one way to help, (c) how scaffolding has strayed from what was originally equal parts motivational and cognitive support, and (d) a conceptual framework for the design of scaffolds that can enhance motivation as well as cognitive outcomes. We propose guidelines for the design of computer-based scaffolds to promote motivation and engagement while students are solving authentic problems. Remaining questions and suggestions for future research are then discussed.     

Learning presence: Additional research on a new conceptual element within the Community of Inquiry (CoI) framework

This paper presents an empirical study grounded in the Community of Inquiry framework (Garrison, Anderson Archer, 2000) and employs quantitative content analysis of student discourse and other artifacts of learning in online courses in an effort to enhance and improve the framework and offer practical implications for online education. As a theoretical framework the purpose of the widely referenced CoI model is to describe, explain, and predict learning in online environments. The current study grows out of an ongoing research agenda to understand student and faculty experiences in emerging technology-mediated education systems and to make recommendations for theory and practice. The major question addressed here is whether the CoI model adequately explains effective learner behavior in fully online courses and to articulate a new conceptual element — learning presence. Results indicate that learning presence is evident in more complex learning activities that promote collaboration and is correlated with course grades.     

Learning to Be. A Perspective from British Columbia,Canada

This article describes how learning to be, with a specific focus on social-emotional competencies, has become part of the educational mindset — and educational policy — in British Columbia, Canada. The development of a set of learning progressions for social responsibility, an emphasis on social emotional learning in the new curriculum framework, the recognition of the importance of the First Peoples Principles of Learning and a disciplined approach to inquiry through school-to-school networks are strengthening the focus on learning to be across schools and communities.     

A Conceptual Framework for Evolving,Recommender Online Learning Systems

A comprehensive conceptual framework is developed and described for evolving recommender‐driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems research approach was used to develop the framework. The ROLS framework incorporates both the cognitive and situative perspectives of the constructivist paradigm of learning. Research propositions are developed to highlight new research opportunities for these systems. The framework demonstrates how various components of an evolving ROLS can be integrated to provide potential benefits for all users.     

The write brain: How to educate and entertain with learner‐centered writing

This article presents a conceptual framework for the writing process to facilitate motivation, learning, retention, and knowledge transfer in readers of expository material. Drawing from four well‐developed bodies of knowledge—cognitive science, learning theory, technical communication, and creative writing—the author creates a model that allows developers of performance and educational content to facilitate learning by addressing such principles as engagement, connection, metacognition, learning, and practice.     

Explaining Learning: From analysis to paralysis to hippocampus

This paper seeks to explain learning by examining five theories of learning—conceptual analysis, behavioural, constructivist, computational and connectionist. The first two are found wanting and rejected. Piaget's constructivist theory offers a general explanatory framework (assimilation and accommodation) but fails to provide an adequate account of the empirical mechanisms of learning. Two theories from cognitive science offering rival explanations of learning are finally considered; it is argued that the brain is not like a computer so the computational model is rejected in favour of a neurally‐based connectionist model of learning.     

Education is a Complex Dynamical System: Challenges for Research

Abstract

The complex dynamical systems (CDS) approach consists of a family of theories emanating largely from the exact sciences. These theories share a common focus on the behavior of systems and their interrelated parts and are concerned with the processes of stability, change, and unpredictability in those systems. This article takes stock of the methods tailored toward the study of complex dynamical systems in education—for example, the interaction between teachers and students in classrooms, educational organizations such as school buildings and districts, and collaborative learning settings. A historical and conceptual background is provided as a context for CDS. Use of the perspective in education is evaluated according to three basic systemic assumptions: Systems behavior is complex, it evolves over time, and the nature of systemic transformation is qualitative. A comprehensive yet incomplete overview is provided of available research methodologies concerned with those assumptions.     

Learning experimentation through science fairs

Experiments are essential for both doing science and learning science. The aim of the German youth science fair, Jugend forscht, is to encourage scientific thinking and inquiry methods such as experimentation. Based on 57 interviews with participants of the competition, this study summarises students’ conceptions and steps of learning about experimentation, taking into account age disparities. Five distinct subdomains of learning were identified in which learning processes may occur. These subdomains are procedure, purpose, material, control, and time. The three separate age groups used slightly different concepts but all the participants took the same or very similar steps of learning independent of their age. Two main reasons for conceptual developments could be detected: Firstly, the participating students had the opportunity to work using methodology similar to the commonly accepted scientific path of knowledge. Secondly, due to communication processes during the competition, a purposive reflection of their own project was promoted. With respect to different educational levels, experimentation proves to be a complex scientific framework that will be learnt step by step throughout students’ education. We therefore argue for a stronger anchoring of research experiments embedded in open or authentic inquiry to be included in science lessons at school.     

Understanding Conceptual Change and Science Learning through Educational Neuroscience

Although the field of educational neuroscience has grown in recent years, little research has been conducted on conceptual change and science learning through an educational neuroscience framework. Educational neuroscience is frequently used to study processes of language and mathematics cognition, but is not extensively applied to conceptual change and science learning. This review integrates insights from extant conceptual change educational neuroscience studies to inform the fields of educational psychology and science education. These new insights shed light on the persistence of misconceptions and the roles of error detection, inhibition, executive function, and memory in conceptual change. Future directions for the study of conceptual change and educational neuroscience are discussed.     

Retrieval-Based Learning: A Perspective for Enhancing Meaningful Learning

Learning is often identified with the acquisition, encoding, or construction of new knowledge, while retrieval is often considered only a means of assessing knowledge, not a process that contributes to learning. Here, we make the case that retrieval is the key process for understanding and for promoting learning. We provide an overview of recent research showing that active retrieval enhances learning, and we highlight ways researchers have sought to extend research on active retrieval to meaningful learning—the learning of complex educational materials as assessed on measures of inference making and knowledge application. However, many students lack metacognitive awareness of the benefits of practicing active retrieval. We describe two approaches to addressing this problem: classroom quizzing and a computer-based learning program that guides students to practice retrieval. Retrieval processes must be considered in any analysis of learning, and incorporating retrieval into educational activities represents a powerful way to enhance learning.     

Learning to teach: Knowledge development in classroom management

How does knowledge acquisition contribute to the process of learning to teach? To answer this question, qualitative and quantitative data were collected to investigate the development of teacher candidate knowledge about classroom management within an elementary teacher education program. Specifically, concept maps and interviews revealed patterns of cognitive change over a two-quarter sequence of courses. Analysis of concept maps showed turbulent and idiosyncratic change influenced by program experiences, with an apparent decline in cognitive organization. In interviews candidates deemphasized program influences, focusing instead on clinical experiences as the impetus of cognitive change. These findings—the turbulent apparent decline in cognitive structure and the primacy of field experiences—are explained in terms of Anderson's ACT1 learning theory. Implications for future research in teacher's conceptual development are discussed.     

Design Patterns for Learning and Assessment: Facilitating the Introduction of a Complex Simulation-Based Learning Environment into a Community of Instructors

Simulation environments make it possible for science and engineering students to learn to interact with complex systems. Putting these capabilities to effective use for learning, and assessing learning, requires more than a simulation environment alone. It requires a conceptual framework for the knowledge, skills, and ways of thinking that are meant to be developed, in order to design activities that target these capabilities. The challenges of using simulation environments effectively are especially daunting in dispersed social systems. This article describes how these challenges were addressed in the context of the Cisco Networking Academies with a simulation tool for computer networks called Packet Tracer. The focus is on a conceptual support framework for instructors in over 9,000 institutions around the world for using Packet Tracer in instruction and assessment, by learning to create problem-solving scenarios that are at once tuned to the local needs of their students and consistent with the epistemic frame of “thinking like a network engineer.” We describe a layered framework of tools and interfaces above the network simulator that supports the use of Packet Tracer in the distributed community of instructors and students.     

Reexamining the Role of Cognitive Conflict in Science Concept Learning

In this study, we defined and quantified the degree of cognitive conflict induced by a discrepant event from a cognitive perspective. Based on the scheme developed, we investigated the relationship between cognitive conflict and conceptual change, and the influences of students' cognitive characteristics on conflict in learning the concept of density. Subjects were 171 seventh-grade girls from two city middle schools in Korea. Tests regarding logical thinking ability, field dependence/independence, and meaningful learning approach were administered. A preconception test and a test of responses to a discrepant event were also administered. Computer-assisted instruction was then provided to students as a conceptual change intervention. A conception test was administered as a posttest. In analysing students' responses to the discrepant event, seven types of responses were identified: Rejection, reinterpretation, exclusion, uncertainty, peripheral belief change, belief decrease, and belief change. These types were then ordered into four levels. The results indicated that there existed a significant correlation between cognitive conflict and conceptual change. t-test results revealed that there were statistically significant differences in the degree of cognitive conflict by the levels of students' logical thinking ability and field dependence/independence. Meaningful learning approach, however, was found to have no statistically significant effect on cognitive conflict. Educational implications are discussed.     

Embracing and Harnessing the Intimate Connection Between Emotion and Cognition to Help Students Learn

Traditionally, cognition and emotion were believed to be independent systems; however, research in the cognitive and neurobiological sciences has shown that the relationship between cognition and emotion is both interdependent and extensive. This intimate connection between emotion and cognition is leading to a number of insights that have the potential to inform and transform educational practices at all levels—from the classroom to the curriculum to educational policy. The question that has been on my mind (and on my heart) is, as a teacher, how can I both embrace and harness the power of emotion to help my students’ learning be more meaningful, useful, and intrinsically motivated? In this article, I would like to share with you some of the effective practices that I have implemented in my classroom and how I have worked to intentionally embed the emotional aspect of learning into the framework of the courses I teach.