Enhancing students’ self-regulation and mathematics performance: the influence of feedback and self-evaluative standards

The purpose of this study was to examine the effects of self-evaluative standards and graphed feedback on calibration accuracy and performance in mathematics. Specifically, we explored the influence of mastery learning standards as opposed to social comparison standards as well as of individual feedback as opposed to social comparison feedback. 90 fifth grade students were randomly assigned to experimental and control groups. We conducted analyses for both the complete sample and an at-risk group of low performing students who overestimate their skills. Self-evaluative standards had no effect on calibration accuracy and performance. Students who received feedback were more accurate in their self-evaluative judgements than students who received neither type of feedback. In overconfident students, feedback additionally increased prediction accuracy and, albeit marginally, performance. We discuss the educational implications of our findings with respect to the relevance of standards and feedback for promoting self-regulated learning within regular classroom settings.     

It may not be that difficult the second time around: the effects of rereading on the comprehension and metacomprehension of negated text

The present research explored the awareness that readers have of the difficulty of negative text and aimed to determine whether rereading could impact comprehension and metacomprehension. Participants read passages that sometimes contained negative words such as ‘no’ and ‘not’, rated their comprehension, and answered a comprehension question about the passage. Half of the passages were read twice and rated again before the participant was prompted to answer a comprehension question. Results showed that passages that were read twice were rated as easier to understand, and questions that corresponded with those passages were answered with higher accuracy as well. However, these improvements were not exclusive to negated passages. And, while participants were aware that the negative passages were harder to comprehend, this understanding did not aid in heightened comprehension of the negative text. Rereading was demonstrated to be a helpful strategy overall but was not sufficient to specifically help with negation.     

Teaching Play Skills to Children with Disabilities: Research-Based Interventions and Practices

Play is a critical milestone that contributes to the learning and development of young children in multiple ways and is essential to their well-being. Play is also considered as a central component to promote school readiness and incorporates pre-literacy, language and numeracy skills. However, play deficits seem to be acutely apparent in some children with disabilities. This highlights the need to come to terms with the best evidence and explore the promising practices related to improved play skills for young children with disabilities. The purpose of this paper is to provide an overview of play-based learning in early childhood and early childhood special education and provide research-based recommendations on teaching play skills to young children with disabilities.     

The role of social community and individual differences in minority mentoring programs

Researchers have examined various outcomes of undergraduate minority mentoring programs. However, there is a significant gap in research about how program members with different demographic backgrounds may not have the same experiences or outcomes as other members despite being subject to the same program elements. To address these gaps, we employed a social community framework to examine the differences across the perceptions of connectedness to a social community and participant outcomes of members of the University of Illinois at Urbana-Champaign (UIUC) Merit Program (MP) for Emerging Scholars. An ANOVA was performed for a study sample of n = 179 current and past MP participants. Results indicated a need to: (a) find ways to translate experiences to lower performing groups, (b) identify other approaches to build resilience and encourage connections and engagement in communities of practice, and (c) explicitly educate all participants in the importance of social community in their professional development.     

Differential Learning as a Key Training Approach to Improve Creative and Tactical Behavior in Soccer

Purpose: The aim of this study was to identify the effects of a differential-learning program, embedded in small-sided games, on the creative and tactical behavior of youth soccer players. Forty players from under-13 (U13) and under-15 (U15) were allocated into control and experimental groups and were tested using a randomized pretest to posttest design using small-sided games situations. Method: The experimental group participated in a 5-month differential-learning program embodied in small-sided games situations, while the control group participated in a typical small-sided games training program. In-game creativity was assessed through notational analyses of the creative components, and the players’ positional data were used to compute tactical-derived variables. Results: The findings suggested that differential learning facilitated the development of creative components, mainly concerning attempts (U13, small; U15, small), versatility (U13, moderate; U15, small), and originality (U13, unclear; U15, small) of players’ actions. Likewise, the differential-learning approach provided a decrease in fails during the game in both experimental groups (moderate). Moreover, differential learning seemed to favor regularity in pitch-positioning behavior for the distance between players’ dyads (U13, small; U15, small), the distance to the team target (U13, moderate; U15, small), and the distance to the opponent target (U13, moderate; U15, small). Conclusions: The differential-learning program stressed creative and positional behavior in both age groups with a distinct magnitude of effects, with the U13 players demonstrating higher improvements over the U15 players. Overall, these findings confirmed that the technical variability promoted by differential learning nurtures regularity of positioning behavior.     

Correction to: Interaction rituals,emotions, and early childhood science: digital microscopes and collective joy in a multilingual classroom

Cultural Studies of Science Education -     

Strengths and Weaknesses of Non-enhanced and Contrast-enhanced Cadaver Computed Tomography Scans in the Teaching of Gross Anatomy in an Integrated Curriculum

Cadaver-specific postmortem computed tomography (PMCT) has become an integral part in anatomy teaching at several universities. Recently, the feasibility of contrast-enhanced (CE)-PMCT has been demonstrated. The purpose of this study was to identify particular strengths and weaknesses of both non-enhanced and contrast-enhanced PMCT compared to conventional cadaver dissection. First, the students’ perception of the learning effectiveness of the three different modalities have been assessed using a 34-item survey (five-point Likert scale) covering all anatomy course modules. Results were compared using the nonparametric Friedman Test. Second, the most frequent artifacts in cadaver CT scans, were systematically analyzed in 122 PMCT and 31 CE-PMCT data sets to quantify method-related limitations and characteristics. Perfusion quality was assessed in 57 vascular segments (38 arterial and 19 venous). The survey was answered by n = 257/320 (80.3%) students. Increased learning benefits of PMCT/ CE-PMCT compared to cadaver dissection were found in osteology (2/3 categories, P < 0.001), head and neck (2/5 categories, P < 0.01), and brain anatomy (3/3 categories, P < 0.01). Contrast-enhanced-PMCT was perceived particularly useful in learning vascular anatomy (10/10 categories, P < 0.01). Cadaver dissection received significantly higher scores compared to PMCT and CE-PMCT in all categories of the abdomen and thorax (7/7 categories, P < 0.001), as well as the majority of muscular anatomy (5/6 categories, P < 0.001). Frequent postmortem artifacts (total n = 28, native-phase n = 21, contrast injection-related n = 7) were identified and assessed. The results of this work contribute to the understanding of the value of integrating cadaver-specific PMCT in anatomy teaching.     

Learning theories for artificial intelligence promoting learning processes

This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal learning mechanism that explains how learning occurs and works across micro, meso and macro levels. The model also explains how information gained through learning is aggregated, or brought together, as well as dissipated, or released and used within and across the levels. Fourteen roles for AI in education are proposed, aligned with the model's features: four roles at the individual or micro level, four roles at the meso level of teams and knowledge communities and six roles at the macro level of cultural historical activity. Implications for research and practice, evaluation criteria and a discussion of limitations are included. Armed with the proposed model, AI developers can focus their work with learning designers, researchers and practitioners to leverage the proposed roles to improve individual learning, team performance and building knowledge communities.

Practitioner notes

What is already known about this topic

• Numerous learning theories exist with significant cross-over of concepts, duplication and redundancy in terms and structure that offer partial explanations of learning.
• Frameworks concerning learning have been offered from several disciplines such as psychology, biology and computer science but have rarely been integrated or unified.
• Rethinking learning theory for the age of artificial intelligence (AI) is needed to incorporate computational resources and capabilities into both theory and educational practices.

What this paper adds

• A three-level theory (ie, micro, meso and macro) of learning that synthesizes and unifies existing theories is proposed to enhance computational modelling and further develop the roles of AI in education.
• A causal model of learning is defined, drawing from developmental psychology, computational biology, instructional design, cognitive science and sociocultural theory, which explains how learning occurs and works across the levels.
• The model explains how information gained through learning is aggregated, or brought together, as well as dissipated, or released and used within and across the levels.
• Fourteen roles for AI in education are aligned with the model's features: four roles at the individual or micro level, four roles at the meso level of teams and knowledge communities and six roles at the macro level of cultural historical activity.

Implications for practice and policy

• Researchers may benefit from referring to the new theory to situate their work as part of a larger context of the evolution and complexity of individual and organizational learning and learning systems.
• Mechanisms newly discovered and explained by future researchers may be better understood as contributions to a common framework unifying the scientific understanding of learning theory.

     

Math Performance and Academic Anxiety Forms,from Sociodemographic to Cognitive Aspects: a Meta-analysis on 906,311 Participants

Educational Psychology Review - The relationship between anxiety and mathematics has often been investigated in the literature. Different forms of anxiety have been evaluated, with math anxiety...