Niveles de actividad física, contenidos-contextos de la clase e intervención docente durante la clase de educación física y su asociación con el tipo de profesor

Resumen: Objetivo: determinar la asociación entre el tipo de profesor (especialista y no especialista en educación física), con el nivel de actividad física, el contenido-contexto de la clase y el comportamiento del profesor. Método: Estudio descriptivo de corte transversal en un colegio distrital de Bogotá. Fueron evaluadas 57 clases de educación física, y dos docentes (uno con formación académica en Educación física), por medio del Sistema para la observación del tiempo de instrucción de la condición física (SOFIT). Las variables observadas fueron analizadas con estadística descriptiva en cantidades relativas a los minutos y proporción de la clase. Para establecer la asociación entre el género de los estudiantes y el tipo de profesor se usaron test t para muestras independientes y U de Mann-Witney. Resultados: La duración promedio de la clase fue 82,7 minutos, 69% del tiempo programado; los estudiantes pasaron la mayor parte del tiempo de pie 29% (25 minutos), el contenido predominante de la clase fue el de tipo general 21% (25 minutos) y los maestros ocuparon en promedio el 36% (29 minutos) de la clase observando. Los estudiantes pasaron 53% (44 minutos) en actividades físicas moderadas a vigorosas (AFMV). Los niños fueron más activos que las niñas (53.94% vs 50,83%). Se observó una asociación positiva entre el género y casi todos los niveles de actividad física de los estudiantes (p<0,05). Se identificó que existe una diferencia estadísticamente significativa (p<0,05), para las categorías sentado y estar de pie de la variable Niveles de Actividad física tanto en los resultados expresados en minutos, como en la proporción del tiempo de la clase y para la categoría caminando expresada en tiempo de la clase. Para la variable contenido-contexto se determinó una asociación para la categoría conocimiento, tanto en la proporción como en el número de minutos, y para la categoría contenido general en los resultados expresados en proporción de la clase. Finalmente, para la variable comportamiento del profesor expresada tanto en minutos como en proporción de la clase tuvo significancia estadística en todas sus categorías a excepción de la categoría promover Conclusiones: hay una diferencia importante en la forma como los dos tipos de maestros desarrollan la clase y los niveles de actividad física en que involucran a los estudiantes. La educación física en la escuela debe ser impartida por profesionales formados en el área, que tengan las destrezas y habilidades necesarias para desarrollar una educación física de calidad.

Using the TRAILER tool for managing informal learning in academic and professional contexts: the learner perspective

Informal Learning plays an important role in everyone's life and yet we often are unaware of it. The need to keep track of the knowledge acquired through informal learning is increasing as its sources become increasingly diverse. This paper presents a study on a tool developed to help keeping track of learners' informal learning, both within academic and professional contexts, This tool, developed within the European Commission funded TRAILER project, will further integrate the improvements suggested by users during the piloting phase. The two studied contexts were similar regarding the importance and perception of Informal Learning, but differed concerning tool usage. The overall idea of managing one's informal learning was well accepted and welcomed, which validated the emerging need for a tool with this purpose.

Introducing e-learning in a large multisite academic health sciences centre: a case study of e-curriculum planning and educator support /

This qualitative study investigated how a team of 7 hospital educators collaborated to develop e-curriculum units to pilot for a newly acquired learning -r management system at a large, multisite academic health sciences centre. A case study approach was used to examine how the e-Curriculum Team was structured, how the educators worked together to develop strategies to better utilize e-leaming in their ovwi practice, what e-curriculum they chose to develop, and how they determined their priorities for e-curriculum development. It also inquired into how they planned to involve other educators in using e-leaming. One set of semistructured interviews with the 6 hospital educators involved in the project, as well as minutes of team meetings and the researcher's journal, were analyzed (the researcher was also a hospital educator on the team). Project management structure, educator support, and organizational pressures on the implementation project feature prominently in the case study. This study suggests that implementation of e-leaming will be more successful if (a) educators involved in the development of e-leaming curriculum are supported in their role as change agents, (b) the pain of vmleaming current educational practice is considered, (c) the limitations of the software being implemented are recognized, (d) time is spent leaming about best practice, and (e) the project is protected as much as possible from organizational pressures and distractions.

How Learning Styles, Chemistry Attitudes and Experiences, Confidence, and Demographics Correlate with Academic Success in First and Second Year Chemistry Courses

At Brock University, the Faculty of Mathematics and Science currently has one of the highest percentages of students on academic probation, with many students reporting the most difficulty with Introductory Chemistry in first year and Organic Chemistry in second year. To identify strategies to improve students' performance and reduce the number of students on academic probation, a multi-year research project was undertaken involving several chemistry courses. Students were asked to complete three questionnaires, and provide consent to obtain their final Chemistry grade from the Registrar's Office. Research began at the end of the 2007-08 academic year with CHEM IPOO, and in the 2008-09 academic year, students in the larger CHEM IF92 Introductory Chemistry course were invited to participate in this research near the beginning of the academic year. Students who went on to take second year Organic and Analytical Chemistry were asked to complete these questionnaires in each second year course. The three questionnaires included the Kolb Learning Styles Inventory (Kolb, 1984) modified to include specific reference to Chemistry in each question, Dalgety, ColI, and Jones' (2002) Chemistry Attitudes and Experiences Questionnaire (CAEQ), and lastly, a demographic survey. Correlations were found between learning style and academic success; concrete learners were not as successful as abstract learners. Differences were noted between females and males with respect to learning styles, academic success, and confidence. Several differences were also noted between those who are the First in the Family to attend university and those who are not First in the Family to attend university.

Changing Role of Academic Libraries in the E-learning Environment: Issues and Challenges

The development of computer and network technology is changing the education scenario and transforming the teaching and learning process from the traditional physical environment to the digital environment. It is now possible to access vast amount of information online and enable one to one communication without the confines of place or time. While E-learning and teaching is unlikely to replace face-to-face training and education it is becoming an additional delivery method, providing new learning opportunities to many users. It is also causing an impact on library services as the increased use of ICT and web based learning technologies have paved the way for providing new ICT based services and resources to the users. Online learning has a crucial role in user education, information literacy programmes and in training the library professionals. It can help students become active learners, and libraries will have to play a greater role in this process of transformation. The significance of libraries within an institution has improved due to the fact that academic libraries and information services are now responsible for e-learning within their organization.

Picking your profile: an academic guide to learning styles

This guide provides a brief overview on different learning styles, along with the best way to approach study for each type.

Academic libraries and learning support in the eectronic enviroment. 'Bibliotecas universitarias y apoyo al aprendizaje en el entorno electrónico'.

Resumen basado en el del autor

Estrategias de aprendizaje, motivación y rendimiento académico en alumnos universitarios. 'Undergraduate students' learning strategies, motivation, and academic performance'.

Incluye un anexo que recoge los items que componen el cuestionario utilizado para este estudio. Resumen basado en el de los autores. Resumen y título en castellano y en inglés. Este trabajo forma parte del proyecto: Estrategias de enseñanza-aprendizaje en la universidad. Subvencionado por una beca del Instituto de Cooperación Iberoamericana-ICI, España y apoyo económico de la Vollmer Foundation - Caracas, Venezuela

Assessment and learning : is it time to rethink student activities and academic roles?

Resumen basado en el de la publicación

Evoked prior learning experience and approach to learning as predictors of academic achievement

Background. In separate studies and research from different perspectives, five factors are found to be among those related to higher quality outcomes of student learning (academic achievement). Those factors are higher self-efficacy, deeper approaches to learning, higher quality teaching, students’ perceptions that their workload is appropriate, and greater learning motivation. University learning improvement strategies have been built on these research results. Aim. To investigate how students’ evoked prior experience, perceptions of their learning environment, and their approaches to learning collectively contribute to academic achievement. This is the first study to investigate motivation and self-efficacy in the same educational context as conceptions of learning, approaches to learning and perceptions of the learning environment. Sample. Undergraduate students (773) from the full range of disciplines were part of a group of over 2,300 students who volunteered to complete a survey of their learning experience. On completing their degrees 6 and 18 months later, their academic achievement was matched with their learning experience survey data. Method. A 77-item questionnaire was used to gather students’ self-report of their evoked prior experience (self-efficacy, learning motivation, and conceptions of learning), perceptions of learning context (teaching quality and appropriate workload), and approaches to learning (deep and surface). Academic achievement was measured using the English honours degree classification system. Analyses were conducted using correlational and multi-variable (structural equation modelling) methods. Results. The results from the correlation methods confirmed those found in numerous earlier studies. The results from the multi-variable analyses indicated that surface approach to learning was the strongest predictor of academic achievement, with self-efficacy and motivation also found to be directly related. In contrast to the correlation results, a deep approach to learning was not related to academic achievement, and teaching quality and conceptions of learning were only indirectly related to achievement. Conclusions. Research aimed at understanding how students experience their learning environment and how that experience relates to the quality of their learning needs to be conducted using a wider range of variables and more sophisticated analytical methods. In this study of one context, some of the relations found in earlier bivariate studies, and on which learning intervention strategies have been built, are not confirmed when more holistic teaching–learning contexts are analysed using multi-variable methods.

From a traditional academic library to a modern learning environment : Dalarna University Library - expectations and results

This report describes the ideas and vision behind Dalarna University's award-winning library in Falun. A description of the planning and construction processes and an evaluation of the final outcome are presented together with experiences and observations drawn from the project.

Learning Analytics and Interactions in Virtual Learning Environments. A Comparative Study of Typologies and their Relationship with Academic Performance

Analysis of learning data (learning analytics) is a new research field with high growth potential. The main objective of Learning analytics is the analysis of data (interactions being the basic data unit) generated in virtual learning environments, in order to maximize the outcomes of the learning process; however, a consensus has not been reached yet on which interactions must be measured and what is their influence on learning outcomes. This research is grounded on the study of e-learning interaction typologies and their relationship with students? academic performance, by means of a comparative study between different interaction typologies (based on the agents involved, frequency of use and participation mode). The main conclusions are a) that classifications based on agents offer a better explanation of academic performance; and b) that each of the three typologies are able to explain academic performance in terms of some of their components (student-teacher and student-student interactions, evaluating students interactions and active interactions, respectively), with the other components being nonrelevant.

Predicting academic performance with learning analytics in virtual learning environments: A comparative study of three interaction classifications

Learning analytics is the analysis of static and dynamic data extracted from virtual learning environments, in order to understand and optimize the learning process. Generally, this dynamic data is generated by the interactions which take place in the virtual learning environment. At the present time, many implementations for grouping of data have been proposed, but there is no consensus yet on which interactions and groups must be measured and analyzed. There is also no agreement on what is the influence of these interactions, if any, on learning outcomes, academic performance or student success. This study presents three different extant interaction typologies in e-learning and analyzes the relation of their components with students? academic performance. The three different classifications are based on the agents involved in the learning process, the frequency of use and the participation mode, respectively. The main findings from the research are: a) that agent-based classifications offer a better explanation of student academic performance; b) that at least one component in each typology predicts academic performance; and c) that student-teacher and student-student, evaluating students, and active interactions, respectively, have a significant impact on academic performance, while the other interaction types are not significantly related to academic performance.