Granularity matters: comparing different ways of measuring self-regulated learning

Metacognition and Learning - Although self-regulated learning (SRL) is becoming increasingly important in modern educational contexts, disagreements exist regarding its measurement. One...     

Group-Based Emotions: Evidence for Emotion-Performance Relationships in Team Sports

Purpose: In team sports, players have to manage personal interests and group goals, emphasizing intricacies between personal and social identities. The focus of this article was to examine the effect of identity mechanisms on appraisal processes, based on the following research question: Does the level of self-abstraction (low [personal identity] versus high [social identity]) lead to group-based emotions and influence performances? Method: An experimental design was used in which the level of self-abstraction was manipulated through the induction of a self- versus a team-oriented goal. Thirty elite male rugby players (M_age = 19.06, SD = 0.78, randomly split) participated in a match reproducing conditions similar to those of official games. Individual and perceived team-level emotions and performance were measured 17 times during the match. Results: Linear Mixed Effects models showed that a high level of self-abstraction: (a) led to more positive and less negative individual (variances explained: 52% and 46%) and perceived team-referent (variances explained: 57% and 40%) emotions; (b) reduced the correlation of team-referent emotions with individual ones; and (c) positively influenced team and individual performances (variances explained: 50% and 19%). Moreover, after controlling for potential effects of the level of self-abstraction, only positive team-referent emotions influenced performance. Conclusions: This study is the first to experimentally manipulate athletes’ social identity to examine group-based emotions in sport. Challenging the usual intrapersonal approaches, these findings suggested that social identity and its association with team-referent emotions could be one of the key dimensions of emotion-performance relationships in team sports.     

Rotation sequence to report humerothoracic kinematics during 3D motion involving large horizontal component: application to the tennis forehand drive

The aim of this study was to examine the respective aptitudes of three rotation sequences (Y_tX_f′Y_h′′, Z_tX_f′Y_h′′, and X_tZ_f′Y_h′′) to effectively describe the orientation of the humerus relative to the thorax during a movement involving a large horizontal abduction/adduction component: the tennis forehand drive. An optoelectronic system was used to record the movements of eight elite male players, each performing ten forehand drives. The occurrences of gimbal lock, phase angle discontinuity and incoherency in the time course of the three angles defining humerothoracic rotation were examined for each rotation sequence. Our results demonstrated that no single sequence effectively describes humerothoracic motion without discontinuities throughout the forehand motion. The humerothoracic joint angles can nevertheless be described without singularities when considering the backswing/forward-swing and the follow-through phases separately. Our findings stress that the sequence choice may have implications for the report and interpretation of 3D joint kinematics during large shoulder range of motion. Consequently, the use of Euler/Cardan angles to represent 3D orientation of the humerothoracic joint in sport tasks requires the evaluation of the rotation sequence regarding singularity occurrence before analysing the kinematic data, especially when the task involves a large shoulder range of motion in the horizontal plane.     

Remedial Testing and Placement in Community Colleges

Almost half of students who enter college require some sort of remedial coursework. Further, states are increasingly moving the responsibility of postsecondary remediation away from four-year campuses to two-year institutions. Scholars and policymakers have grappled with best practice for successfully filling in academic gaps and moving students forward, and there is variation both within and between states as to the ways in which remediation is defined, determined, and administered (Perin, 2006 Perin , D. ( 2006 ). Can community colleges protect both access and standards? The problem of remediation . Teachers College Record 108 ( 3 ), 339 – 373 .[Crossref], [Web of Science ®] , [Google Scholar]). Using a regression discontinuity design, this study seeks to answer the following question on one community college campus: How does placement into remedial services affect student outcomes, in particular, successful completion of an introductory college-level English course? Although this study focuses on a single community college system, the findings have bearing on a wider sector as the developmental placement practices of Harper Community College District are not unlike those implemented by two- and four-year campuses across the country.     

The interplay between teachers’ approaches to teaching,students’ approaches to learning and learning outcomes: a qualitative multi-case study

The interaction between approaches to teaching and students’ learning has been the focus of research for more than 20 years. Previous studies concerning approaches to teaching in higher education have identified two broad categories: content- and learning-focused approaches. Some studies indicate that teachers do not always adopt a consonant teaching- or learning-focused approach, but might employ elements of both, which results in a dissonant approach. Research on how dissonant approaches to teaching and students’ quality of learning are related is scant. This study explored relationships between how teachers’ approaches to teaching and undergraduate students’ self-reported approaches to learning and learning outcomes. The data for this study consisted of 33 semi-structured interviews with students from three courses. Interviews were analysed with qualitative content analysis. The results demonstrated that, when the teacher used a consonant learning-focused approach to teaching, students’ learning outcomes and approaches to learning were of a slightly higher quality than when the teacher employed a dissonant approach to teaching. However, a dissonant approach to teaching did not always result in a lower quality of approaches to learning and learning outcomes.     

Pedagogical work,stress regulation and work-related well-being among early childhood professionals in integrated special day-care groups

The aim of this study was to investigate the relationship between early childhood professionals’ (ECPs) stress regulation (using salivary cortisol and alpha-amylase [AA] measurements), work engagement and the quality of their pedagogical work in integrated special day-care groups. Participants were 89 ECPs from 21 integrated special day-care groups located in Helsinki, Finland. The special educational needs of children (who were between 3 and 6 years of age) in these groups varied from language disorders and self-regulation difficulties to severe disabilities. Data was collected by using work engagement surveys, salivary cortisol and AA measurements and observational assessments of pedagogical work. This study is novel, in that it combines approaches from different disciplines to investigate work-related well-being among ECPs. Our findings demonstrate the close relationship between ECPs’ stress regulation and the quality of pedagogical work in teams. Whilst ECPs’ high work engagement was associated with better-quality pedagogical work, we did not find any associations between different biomarkers and work engagement. Our study highlights the importance of teamwork, not only as fundamental to high-quality early childhood special education, but also in supporting the well-being of ECE professionals. The findings can be applied in future studies and can be used to inform intervention aiming to enhance working conditions in day-care centres.     

Using automated analysis to assess middle school students' competence with scientific argumentation

Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and as an effective mode of learning—a perspective reflected in contemporary frameworks and standards. The successful implementation of argumentation in school science, however, requires a paradigm shift in science assessment from the measurement of knowledge and understanding to the measurement of performance and knowledge in use. Performance tasks requiring argumentation must capture the many ways students can construct and evaluate arguments in science, yet such tasks are both expensive and resource-intensive to score. In this study we explore how machine learning text classification techniques can be applied to develop efficient, valid, and accurate constructed-response measures of students' competency with written scientific argumentation that are aligned with a validated argumentation learning progression. Data come from 933 middle school students in the San Francisco Bay Area and are based on three sets of argumentation items in three different science contexts. The findings demonstrate that we have been able to develop computer scoring models that can achieve substantial to almost perfect agreement between human-assigned and computer-predicted scores. Model performance was slightly weaker for harder items targeting higher levels of the learning progression, largely due to the linguistic complexity of these responses and the sparsity of higher-level responses in the training data set. Comparing the efficacy of different scoring approaches revealed that breaking down students' arguments into multiple components (e.g., the presence of an accurate claim or providing sufficient evidence), developing computer models for each component, and combining scores from these analytic components into a holistic score produced better results than holistic scoring approaches. However, this analytical approach was found to be differentially biased when scoring responses from English learners (EL) students as compared to responses from non-EL students on some items. Differences in the severity between human and computer scores for EL between these approaches are explored, and potential sources of bias in automated scoring are discussed.     

A Theoretical Analysis of How Segmentation of Dynamic Visualizations Optimizes Students' Learning

This article reviews studies investigating segmentation of dynamic visualizations (i.e., showing dynamic visualizations in pieces with pauses in between) and discusses two not mutually exclusive processes that might underlie the effectiveness of segmentation. First, cognitive activities needed for dealing with the transience of dynamic visualizations impose extraneous cognitive load, which may hinder learning. Segmentation may reduce the negative effect of this load by dividing animations into smaller units of information and providing pauses between segments that give students time for the necessary cognitive activities after each of those units of information. Second, event segmentation theory states that people mentally segment dynamic visualizations during perception (i.e., divide the information shown in pieces). Segmentation of dynamic visualisation could cue relevant segments to students, which may aid them in perceiving the structure underlying the process or procedure shown.