Experiences of instructors in online learning environments: Identifying and regulating emotions

In an effort to expand existing research on the barriers of instructors experience in online learning environments (OLEs), a qualitative study was conducted at a large mid-Atlantic university. Six instructors teaching in different OLE formats (e.g., asynchronous, hybrid, and synchronous via videoconferencing) participated in two focus groups in order to explore their emotional experiences and ways to regulate the emotions when teaching in OLEs. The overarching themes included emotions of feeling (a) restricted, (b) stressed, (c) devalued, (d) validated, and (e) rejuvenated. The article also provides practical strategies on how participating instructors attempted to manage the challenging emotions. A consensus among all participants is that continuous dialog in a community of practice about strategies to enhance OLEs is imperative.     

Emotions are the experiential glue of learning environments in the 21st century

This article comments on the five papers published in this special issue on understanding and measuring emotions in technology-rich learning environments. The articles identify a number of emotions that frequently occur in digital learning environments across different tasks, goals, populations, and subject matters. The Control Value Theory of achievement emotions unifies the research reported in the articles, whereas social emotions surface in contexts where there are significant social interactions, such as group learning or the training of medical students. The emotions that were detected and tracked in the reported studies rely on self-reports of learners and judges who observe them. This commentary identifies a number of limitations of the studies that will hopefully stimulate future research. Researchers are encouraged to collect (1) larger sample sizes, (2) longer interventions with learning technologies, (3) physiological, multimodal, and behavioral signatures of emotions to complement the subjective judgments, (4) more precise timing and transitions between emotions to uncover emotion dynamics, (5) assessments of nonlinear relations between variables, and (6) interventions designed to regulate and productively respond to learner emotions.     

Not that different in theory: Discussing the control-value theory of emotions in online learning environments

This commentary investigates the extent to which the control-value theory of emotions (Pekrun, 2006) is applicable in online learning environments. Four empirical studies in this special issue of The Internet and Higher Education explicitly used the control-value theory as their theoretical framework and several others have components of the theory implicitly described. Thus, for each article we examined what emotions were expressed, the antecedents of the emotions, and their academic outcomes in relation to the control-value theory of emotions. In general, the results from these studies parallel those in traditional classrooms, suggesting there are few differences in emotions experienced in online learning environments relative to face-to-face classrooms. A primary reason for the observed similarities in emotions may be that control and value appraisals play consistent roles as antecedents of specific emotions even though students’ learning environment is dramatically different. We conclude with suggestions for future research.     

The Framework for DIRECTED Online Learning Environments

A steady increase in the development and use of online instructional delivery systems in higher education institutions is expected to occur over the next few years. Online learning environments (OLEs) will emerge to provide comprehensive support for the process of learning and instruction. Currently, educators and administrators are seeking guidance for conceptualizing and implementing OLEs. A framework is needed to represent the essential aspects of OLE development and use, and to address the complex nature of OLEs. This paper offers a definition for OLEs. Also, a framework is presented to support a “directed” approach to OLEs that provides a basis for planning, designing, implementing and evaluating OLEs, and for online courses contained within OLEs. The elements of the framework for DIRECTED OLEs, Delivery, Interaction, Resources, Evaluation, Culture, Technology, Education, and Design, are defined and issues concerning the elements are presented.     

Effects of Time Perspective on Student Motivation: Introduction to a Special Issue

This article introduces this special issue by establishing a conceptual foundation for thinking about how students' conceptions of time influence motivation and achievement. In particular, we describe how students' perceptions of the utility of what they are learning for their futures can positively affect motivation. Temporal perspective is tied to current models of motivation and learning such as intrinsic motivation and self-regulation. We present 2 purposes for organizing this issue: (a) initiating discussion and research about how conceptions of the future influence and are influenced by students' motivation and (b) bridging gaps in the field between American and international perspectives on learning and motivation. We conclude by introducing the 6 articles that comprise this special issue of Educational Psychology Review.     

Future Directions for Research on Online Technical Education

ABSTRACT

Most research on online learning in higher education has been focused on general education at four-year institutions. There is a need for more research that focuses on online and hybrid education at community colleges in technical education fields. This issue includes articles from eight National Science Foundation funded projects doing innovative work on the use of online and hybrid learning in technical education. Examination of these articles suggests several potential directions for future research in this area including the following: how to choose between fully online and hybrid course delivery; how technical education programs can successfully partner with industry; how to examine and select specific online educational strategies to enhance online technical education; how to sustain innovative online educational programs after grant funding is complete; and how to support nontraditional students in online or hybrid technical education programs.     

Building upon synergies among self-regulated learning and formative assessment research and practice

ABSTRACT

The synergies that result from synthesising conceptual models and findings from self-regulated learning and formative assessment research are launching a new era of scholarship. They drive new questions about how to help students to internalise complimentary self-regulatory and assessment knowledge, skills, and dispositions as well as how to prepare teachers and education systems to prioritise and support this work. The articles in this special issue illustrate the power and importance of studying how self-regulation and classroom assessment emerge from social, contextual, historical, and cultural factors. Four themes emerged from the articles in this special issue, including new conceptualisations of self-regulated learning and formative assessment, insights regarding teachers’ dual role in enacting and promoting self-regulation, recognition of the critical role of students’ ability to productively use assessment information, and the need to instantiate self-regulated learning and assessment literacy as formal and valued curricular outcomes.     

Advances in research on classroom dialogue: learning outcomes and assessments

The goal of this special issue is to examine how certain modes of classroom dialogue might contribute to students' learning outcomes. The articles in this special issue share the idea of classroom talk as a problem-oriented dialogue. In other words, an interactional configuration based on exchanges among students and teachers that go beyond the predominantly monologic approaches of classroom talk. In each of the contributions to this special issue, different types of learning outcomes were studied as a result of specific ways of orchestrating classroom dialogue. All in all, the studies in this special issue yield a picture of the field as a productive research area: they provide evidence for the plausibility of the assumption that dialogic orchestrations of classroom talk may produce various desired learning and developmental outcomes in students, depending on what outcomes we want to articulate, and how they are assessed. Although the studies in this special issue yield promising results for future improvements of classroom practice more (preferably longitudinal) research is required.     

How achievement emotions impact students' decisions for online learning,and what precedes those emotions

This empirical study investigates students' learning choices for mathematics and statistics in a blended learning environment, composed of both online and face-to-face learning components. The students (N = 730) were university freshmen with a strong diversity in prior schooling and a wide range of proficiency in quantitative subjects. In this context, we investigated the impact that individual differences in achievement emotions (enjoyment, anxiety, boredom, hopelessness) had on students' learning choices, in terms of the intensity of using the online learning mode versus the face-to-face mode. Unlike the general level of learning activities, which is only minimally influenced by achievement emotions, these emotions appear to have a moderately strong effect on a student's preference for online learning. Following this, we explored the antecedents of achievement emotions. Through the use of path-modeling, we conclude that while goal setting behavior only marginally impacts achievement emotions, effort views—a crucial component of the social-cognitive model of implicit theories of intelligence—have a substantial impact on achievement emotions.     

Understanding and measuring emotions in technology-rich learning environments

Technology-rich learning environments (TREs) play an increasingly important role for 21st century education, and the emotions learners experience in these environments are pivotal for their cognitive and affective learning gains. The contributors to this special issue address the importance of understanding and measuring emotions in TREs as a mechanism for fostering learning. In particular, the special issue situates this research with a systemic review and meta-analysis of the literature on emotions in TREs. Following this review empirical research is presented on measuring emotions in the context of learning with TREs in multiple domains, including medicine, history, and mathematics. These researchers use concurrent measures to capture students’ cognitive, metacognitive and affective processes before, during, and after solving problems, documenting the complex role of such processes as individuals and groups learn with technology. The special issue concludes with two commentaries that point the way to next steps in this field of research.     

Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning

Online learning continues to grow, but there is limited empirical research on the personal factors that influence success in online contexts. This investigation addresses this research gap by exploring the relations between several discrete achievement-related emotions (boredom, frustration, and enjoyment) and self-regulated learning behaviors (elaboration and metacognition) in an online course. Results from a survey of 302 undergraduates participating in an online course indicated that enjoyment, a positive activating emotion, was a positive predictor of elaboration and metacognition. Moreover, consistent with previous findings from a similar sample, frustration, a negative activating emotion, emerged as a positive predictor of metacognition. Implications for the theory, research, and practice of online learning are discussed, as are theoretical implications for understanding students' achievement emotions and self-regulated learning behaviors.     

Searching for the role of emotions in e-learning

This special issue of Learning and Instruction examines the role of emotions in academic learning, with a special focus on emotions in computer-supported academic learning (or e-learning). Three central research challenges concerning emotion in e-learning are: identification (e.g., what are the key emotions in e-learning?), measurement (e.g., how can we tell how strongly a learner is experiencing each key emotion during e-learning?), and explanation (e.g., what are the causes and consequences of the learner's emotional state during learning?). A useful goal of research on emotions in e-learning is to test an affective-cognitive model of e-learning with links among an e-learning episode, the learner's emotional reaction during learning, the learner's cognitive processing during learning, and the learning outcome.     

Commentary: Evaluating the Validity of Formative and Interim Assessment

In many school districts, the pressure to raise test scores has created overnight celebrity status for formative assessment. Its powers to raise student achievement have been touted, however, without attending to the research on which these claims were based. Sociocultural learning theory provides theoretical grounding for understanding how formative assessment works to increase student learning. The articles in this special issue bring us back to underlying first principles by offering separate validity frameworks for evaluating formative assessment (Nichols, Meyers, & Burling) and newly-invented interim assessments (Perie, Marion, & Gong). The article by Heritage, Kim, Vendlinski, and Herman then offers the most important insight of all; that is, formative assessment is of little use if teachers don't know what to do when students are unable to grasp an important concept. While it is true that validity investigations are needed, I argue that the validity research that will tell us the most—about how formative assessment can be used to improve student learning—must be embedded in rich curriculum and must at the same time attempt to foster instructional practices consistent with learning research.     

MOOCs as a massive research laboratory: opportunities and challenges

Massive open online courses (MOOCs) offer many opportunities for research into several topics related to pedagogical methods and student incentives. In the context of over 20 years of online learning research, we discuss lessons to be learned from observational comparisons and experiments on randomly chosen groups of students. We target two MOOCs for our study. We investigate dropout rates and how students who decide to drop out differ from those who continue courses. We discuss class forums and video lectures and how these interactions correlate with achievement. We explore the strong correlation between procrastination and achievement and implications for MOOC design. We examine the role of certifications offered by MOOCs and how different options can affect outcomes. We also examine the potential of linking data across courses. We discuss survey data in the context of these MOOCs. These research opportunities offer big data challenges, which are addressed with parallel computing techniques.     

LEARNING AND DOING: THE IMPORTANCE OF SERVICE-LEARNING IN GERONTOLOGY

Service-learning is an approach to teaching and learning that has great potential for gerontology. The articles in this special issue present a wealth of conceptual and practical information about how to create service-learning opportunities, manage them effectively, and evaluate them appropriately. This article identifies several common themes in the articles and offers an administrative perspective on the role and value of service-learning.     

Guest Editors' Introduction: Online Health Communication

Early scholarly inquiries into online health information focused primarily on questions of accuracy and credibility. In recent research, however, we are seeing an expansion in this initial focus, to include issues such as the usability, design, and ethics of online health information. This special issue contains five articles that contribute to scholarly inquiry in these emerging areas of interest.     

Tool use in open learning environments: In search of learner-related determinants

Open learning environments (OLEs) assume that learners are good self-regulators. In such environments, learners have a large amount of control and decide on the use of different support devices (i.e. tools). However, research clearly suggests that, because students often do not possess the necessary regulation skills, they cannot decide what tool might be beneficial for their learning. This contribution deals with the impact of three metacognitive variables on tool use in OLEs: students’ regulation activities; help-seeking behaviour; and instructional conceptions. Results reveal that these student characteristics affect tool use and that their impact is moderated by environmental factors, especially advice.     

The Teaching Brain and the End of the Empty Vessel

I am excited to present this special section that explores the teaching brain. The goal of the series is to facilitate a transition in the lens on teaching from an empty vessel to a phenomenon as dynamic, variable, and context‐dependent as learning. This transformation will likely push all of us to reevaluate our understanding and research on teaching. Over the coming year, each issue will provide several articles that seek to shed light on a different aspect of this burgeoning new area of research. This issue opens the series with a piece designed to lay out the conceptual framework and evidence base for a new way to think about teaching: the teaching brain. Next, Michael Chazan gives an archeological grounding for the existence of teaching in the earliest ancestors of Homo sapiens. Sidney Strauss and Margalit Ziv then describe how teaching is a fundamental human cognitive ability. Together, these articles begin to create a paradigm shift in the definition of teaching. We look forward to an exciting journey.     

The Challenges of Defining and Measuring Student Engagement in Science

Engagement is one of the hottest research topics in the field of educational psychology. Research shows that multifarious benefits occur when students are engaged in their own learning, including increased motivation and achievement. However, there is little agreement on a concrete definition and effective measurement of engagement. This special issue serves to discuss and work toward addressing conceptual and instrumentation issues related to engagement, with particular interest in engagement in the domain of science learning. We start by describing the dimensional perspective of engagement (behavioral, cognitive, emotional, agentic) and suggest a complementary approach that places engagement instrumentation on a continuum. Specifically, we recommend that instrumentation be considered on a “grain-size” continuum that ranges from a person-centered to a context-centered orientation to clarify measurement issues. We then provide a synopsis of the articles included in this special issue and conclude with suggestions for future research.