Competitive marketing of distance education: A model for placing quality within a strategic planning context

Abstract

Increasing competitive forces are compelling academic administrators to think strategically about specific offerings in their distance education programs. Across a wide variety of educational contexts, quality is being recognized as a major source of competitive advantage. This paper examines the role of quality in determining appropriate market‐driven strategies. A model for integrating quality based on competitive ability and market attractiveness is presented.     

Identification of Early Risk Factors for Developmental Delay

Statewide birth certificate and preschool exceptionality records were integrated to identify risk factors for developmental delay (DD). Epidemiological methods were used to investigate both individual-level and population-level risk for DD associated with a number of child and maternal factors. Infants born with very low birth weight were at the greatest individual-level risk for DD, whereas prematurity (gestational age less than 37 weeks) and low maternal education posed the greatest population-level risk. For comparative purposes, individual-level risk for speech disability and other developmental disabilities was also determined. The individual-level risk associated with nearly all factors was significantly greater for DD than for speech disability or other developmental disabilities. The present study suggests that information available from birth certificate records can be used to target screening and early intervention services for children at high risk with the goal of reducing the incidence of DD and subsequent associated disabilities.     

The role of students’ emotions in formal feedback situations

A growing, but still relatively small body of research underscores the importance of attending to students’ experiences and emotions in higher education. One specific context in which emotions have a focal role is formal feedback situations. The aim of this paper is to provide a literature overview on the role of emotions, in sociology in general and learning in particular, and to draw on this literature in order to tentatively suggest how the role of students’ emotions can increasingly be accounted for in the context of feedback situations. The claim of the paper is that emotions should not be considered as hindering learning. Rather, it underlines the focal role of emotions in learning as being a natural part of it. The paper suggests that learning activities such as ‘feedback preparation activities’ and ‘feedback-on-the-feedback’ can be helpful in order to acknowledge students’ emotions in formal feedback situations.     

Expertise,authority and embodied pedagogy: operatic masterclasses

The paper reports a study of masterclasses for young opera-singers, taught by experienced, world-class singers. These and similar forms of learning in the creative and performing arts represent fertile opportunities for the investigation of pedagogy. Given the recent ‘performative’ turn in sociological studies of education, and of cultural forms more widely, it is especially pertinent to examine the work of pedagogy in an overtly performative context. The operatic masterclass is made possible by the embodied authority of the teacher, and by her or his charismatic authority. The masterclass itself is marked by repetition, attention to technical detail, and to interpretative flexibility. Expertise is shared through gesture, metaphor, demonstration and personal maxims. Technical and interpretative knowledge are synthesised through the teacher’s personal authority. These processes illustrate the communities of pedagogy associated with artistic communities of practice.     

Self-perception of emotional development in individuals attending university programmes for seniors: training needs and answers

In older adults, emotional competencies become the most important reason to preserve quality of life. In this study we focused on Emotional Intelligence in a group of older adults. by means of examining the relationship between perceived emotional competencies and sociodemographic variables. A total of 255 older participants (72.2% women), mean age?=?64.59 years old (SD?=?5.82, range?=?52–83 years old), who attended the University of the Experience in Salamanca (Spain), were evaluated. Information on sociodemographic data, perceived health and motivation to take part in university programmes, and perceived emotional competence was collected using self-reported questionnaires. Results show significant differences, mainly in relation with sex and perceived health in various areas of emotional competence. These results open the way to design and implement quality intervention programmes that enhance social-emotional skills and personal and social well-being to improve quality of life of older people.     

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.

     

Three recommended inclusive language guidelines for scholarly publishing: Words matter

• Inclusive language will make scholarly publishing more accurate and more respectful, and it has the potential to help authors reach a wider audience.
• JAMA and the JAMA Network journals, the American Chemical Society and the Coalition for Diversity and Inclusion in Scholarly Communications have free guides on inclusive language, formatting and images.
• The guides provide principles and rationale, as well as examples of preferred language, in order to equip people with knowledge to choose the most inclusive words even as terminology preferences change.