Unpacking the hidden efficacies of learning in productive failure

This paper describes a framework for learning where learners undergo experimentations with the phenomena at hand according to progressive and staged goals. Bowling is used as a case study in this paper. The premise for experimentations is that learners can experience hidden efficacies, including the formation of “bad habits.” A distinction is made between productivity in learning and performance in terms of learning outcomes. In other words, productivity in learning may not necessarily manifest in successful performance, hence the term productive failure. To emphasize the need for self-regulation during problem-solving process, we discuss the movements within the productive–unproductive and success–failure dimensions through three-staged self-regulatory processes and draw implications to learning and instruction.     

Browsing software of the Visible Korean data used for teaching sectional anatomy

The interpretation of computed tomographs (CTs) and magnetic resonance images (MRIs) to diagnose clinical conditions requires basic knowledge of sectional anatomy. Sectional anatomy has traditionally been taught using sectioned cadavers, atlases, and/or computer software. The computer software commonly used for this subject is practical and efficient for students but could be more advanced. The objective of this research was to present browsing software developed from the Visible Korean images that can be used for teaching sectional anatomy. One thousand seven hundred and two sets of MRIs, CTs, and sectioned images (intervals, one millimeter) of a whole male cadaver were prepared. Over 900 structures in the sectioned images were outlined and then filled with different colors to elaborate each structure. Software was developed where four corresponding images could be displayed simultaneously; in addition, the structures in the image data could be readily recognized with the aid of the color-filled outlines. The software, distributed free of charge, could be a valuable tool to teach medical students. For example, sectional anatomy could be taught by showing the sectioned images with real color and high resolution. Students could then review the lecture by using the sectioned and color-filled images on their own computers. Students could also be evaluated using the same software. Furthermore, other investigators would be able to replace the images for more comprehensive sectional anatomy.     

Automatic suggestion of phrasal-concept queries for literature search

Both general and domain-specific search engines have adopted query suggestion techniques to help users formulate effective queries. In the specific domain of literature search (e.g., finding academic papers), the initial queries are usually based on a draft paper or abstract, rather than short lists of keywords. In this paper, we investigate phrasal-concept query suggestions for literature search. These suggestions explicitly specify important phrasal concepts related to an initial detailed query. The merits of phrasal-concept query suggestions for this domain are their readability and retrieval effectiveness: (1) phrasal concepts are natural for academic authors because of their frequent use of terminology and subject-specific phrases and (2) academic papers describe their key ideas via these subject-specific phrases, and thus phrasal concepts can be used effectively to find those papers. We propose a novel phrasal-concept query suggestion technique that generates queries by identifying key phrasal-concepts from pseudo-labeled documents and combines them with related phrases. Our proposed technique is evaluated in terms of both user preference and retrieval effectiveness. We conduct user experiments to verify a preference for our approach, in comparison to baseline query suggestion methods, and demonstrate the effectiveness of the technique with retrieval experiments.     

A reliable FAQ retrieval system using a query log classification technique based on latent semantic analysis

To obtain high performances, previous works on FAQ retrieval used high-level knowledge bases or handcrafted rules. However, it is a time and effort consuming job to construct these knowledge bases and rules whenever application domains are changed. To overcome this problem, we propose a high-performance FAQ retrieval system only using users’ query logs as knowledge sources. During indexing time, the proposed system efficiently clusters users’ query logs using classification techniques based on latent semantic analysis. During retrieval time, the proposed system smoothes FAQs using the query log clusters. In the experiment, the proposed system outperformed the conventional information retrieval systems in FAQ retrieval. Based on various experiments, we found that the proposed system could alleviate critical lexical disagreement problems in short document retrieval. In addition, we believe that the proposed system is more practical and reliable than the previous FAQ retrieval systems because it uses only data-driven methods without high-level knowledge sources.     

The Philosophical Aspects of IRT Equating: Modeling Drift to Evaluate Cohort Growth in Large‐Scale Assessments

Calibration and equating is the quintessential necessity for most large‐scale educational assessments. However, there are instances when no consideration is given to the equating process in terms of context and substantive realization, and the methods used in its execution. In the view of the authors, equating is not merely an exhibit of the statistical methodology, but it is also a reflection of the thought process undertaken in its execution. For example, there is hardly any discussion in literature of the ideological differences in the selection of an equating method. Furthermore, there is little evidence of modeling cohort growth through an identification and use of construct‐relevant linking items’ drift, using the common item nonequivalent group equating design. In this article, the authors philosophically justify the use of Huynh's statistical method for the identification of construct‐relevant outliers in the linking pool. The article also dispels the perception of scale instability associated with the inclusion of construct‐relevant outliers in the linking item pool and concludes that an appreciation of the rationale used in the selection of the equating method, together with the use of linking items in modeling cohort growth, can be beneficial to the practitioners.     

Home and Motivational Factors Related to Science-Career Pursuit: Gender differences and gender similarities

The purpose of the study was to examine whether gender differences exist in the mean levels of and relations between adolescents’ home environments (parents’ view of science, socio-economic status (SES)), motivations (intrinsic and instrumental motivations, self-beliefs), and pursuit of science careers. For the purpose, the Programmed for International Student Assessment 2006 data of Korean 15-year-old students were analysed. The results of the study showed that girls had lower levels of science intrinsic and instrumental motivations, self-beliefs, and science-career pursuit (SCP) as well as their parents’ values in science less than boys. Gender similarities, rather than gender differences, existed in patterns of causal relationship among home environments, motivations, and SCP. The results showed positive effects for parents’ higher value in science and SES on motivations, SCP, and for intrinsic and instrumental motivations on SCP for girls and boys. These results provide implications for educational interventions to decrease gender differences in science motivations and SCP, and to decrease adolescents’ gender stereotypes.     

Formulation of a DIMTEST Effect Size Measure (DESM) and Evaluation of the DESM Estimator Bias

DIMTEST is a widely used and studied method for testing the hypothesis of test unidimensionality as represented by local item independence. However, DIMTEST does not report the amount of multidimensionality that exists in data when rejecting its null. To provide more information regarding the degree to which data depart from unidimensionality, a DIMTEST-based Effect Size Measure (DESM) was formulated. In addition to detailing the development of the DESM estimate, the current study describes the theoretical formulation of a DESM parameter. To evaluate the efficacy of the DESM estimator according to test length, sample size, and correlations between dimensions, Monte Carlo simulations were conducted. The results of the simulation study indicated that the DESM estimator converged to its parameter as test length increased, and, as desired, its expected value did not increase with sample size (unlike the DIMTEST statistic in the case of multidimensionality). Also as desired, the standard error of DESM decreased as sample size increased.     

Mindfulness and Resilience as Mediators in the Relationship Between Job-Related Stress and Teacher–Child Interaction Among Early Childhood Educators

Early Childhood Education Journal - Although teacher–child interaction has been recognized as an important indicator of quality in early care and education as well as a crucial predictor of...     

Wind tunnel measurement and flow visualisation of soccer ball knuckle effect

Wind tunnel experiments were conducted, in particular focusing on slow unsteady variations of aerodynamic forces as a potential cause of the knuckle effect of a new soccer ball (Teamgeist) under non-spinning condition. The experiments included simultaneous measurements of the drag, the side force and the surface pressure on a ball surface, and the tuft visualisation to investigate the flow field behind a ball. Of particular interest was the erratic nature of the knuckle effect resulting from the unsteady movement of vortical wake structure in the supercritical Reynolds number regime. A simple 2-D numerical simulation of the ball flight trajectory was performed by taking into account the unsteady side force data measured in the present experiments.     

The effects of social supports on changes in students’ perceived instrumentality of schoolwork for future goal attainment

Research on perceived instrumentality of students’ academic work for attaining life goals has shown to have positive effects on academic achievement and motivation The purpose of the study was to examine the changes in perceived instrumentality over time and to identify how significant others such as parents, teachers and peers affect changes in perceived instrumentality. The variables of gender, prior achievement levels, academic pressure and socioeconomic status, which had significant influences on perceived instrumentality according to previous research, were used as control variables. Longitudinal data were collected for four years of 6908 students and analysed using the Growth Curve Modelling technique. Parents’ and teachers’ academic expectations and their career guidance, and social support from peers were used as predictors for changes in perceived instrumentality. Our results revealed that perceived instrumentality increased over time but in a decelerated pattern. In addition, parents and peers had significant influences on perceived instrumentality and its change, but teachers did not. The results suggest that support from parents and peers helps students to understand and internalise why they have to study hard in school to achieve their future long-term life goals.