The Effect of Direct Instruction versus Discovery Learning on the Understanding of Science Lessons by Second Grade Students

This study examined the effectiveness of discovery learning and direct instruction in a diverse second grade classroom. An assessment test and transfer task were given to students to examine which method of instruction enabled the students to grasp the content of a science lesson to a greater extent. Results demonstrated that students in the direct instruction group scored higher on the assessment test and completed the transfer task at a faster pace; however, this was not statistically significant. Results also suggest that a mixture of instructional styles would serve to effectively disseminate information, as well as motivate students to learn.

Discovering, applying and integrating self-knowledge : a grounded theory study of learning in life coaching

Professional coaching is a rapidly expanding field with interdisciplinary roots and broad application. However, despite abundant prescriptive literature, research into the process of coaching, and especially life coaching, is minimal. Similarly, although learning is inherently recognised in the process of coaching, and coaching is increasingly being recognised as a means of enhancing teaching and learning, the process of learning in coaching is little understood, and learning theory makes up only a small part of the evidence-based coaching literature. In this grounded theory study of life coaches and their clients, the process of learning in life coaching across a range of coaching models is examined and explained. The findings demonstrate how learning in life coaching emerged as a process of discovering, applying and integrating self-knowledge, which culminated in the development of self. This process occurred through eight key coaching processes shared between coaches and clients and combined a multitude of learning theory.

Designing relational pedagogies with jam2jamXO

This paper examines the affordances of the philosophy and practice of open source and the application of it in developing music education software. In particular I will examine the parallels inherent in the ‘openness’ of pragmatist philosophy in education (Dewey 1916, 1989) such as group or collaborative learning, discovery learning (Bruner 1966) and learning through creative activity with computers (Papert 1980, 1994). Primarily I am interested in ‘relational pedagogies’ (Ruthmann and Dillon In Press) which is in a real sense about the ethics of the transaction between student and teacher in an ecology where technology plays a more significant role. In these contexts relational pedagogies refers to how the music teacher manages their relationships with students and evaluates the affordances of open source technology in that process. It is concerned directly with how the relationship between student and teacher is affected by the technological tools, as is the capacity for music making and learning. In particular technologies that have agency present the opportunity for a partnership between user and technology that enhances the capacity for expressive music making, productive social interaction and learning. In this instance technologies with agency are defined as ones that enhance the capacity to be expressive and perform tasks with virtuosity and complexity where the technology translates simple commands and gestures into complex outcomes. The technology enacts a partnership with the user that becomes both a cognitive and performative amplifier. Specifically we have used this term to describe interactions with generative technologies that use procedural invention as a creative technique to produce music and visual media.

Investigation of physiological properties of nerves and muscles using electromyography.

The measurement and representation of the electrical activity of muscles [electromyography (EMG)] have a long history from the Victorian Era until today. Currently, EMG has uses both as a research tool, in noninvasively recording muscle activation, and clinically in the diagnosis and assessment of nerve and muscle disease and injury as well as in assessing the recovery of neuromuscular function after nerve damage. In the present report, we describe the use of a basic EMG setup in our teaching laboratories to demonstrate some of these current applications. Our practical also illustrates some fundamental physiological and structural properties of nerves and muscles. Learning activities include 1) displaying the recruitment of muscle fibers with increasing force development; 2) the measurement of conduction velocity of motor nerves; 3) the assessment of reflex delay and demonstration of Jendrassik's maneuver; and 4) a Hoffman reflex experiment that illustrates the composition of mixed nerves and the differential excitability thresholds of fibers within the same nerve, thus aiding an understanding of the reflex nature of muscle control. We can set up the classes at various levels of inquiry depending on the needs/professional requirements of the class. The results can then provide an ideal platform for a discovery learning session/tutorial on how the central nervous system controls muscles, giving insights on how supraspinal control interacts with reflexes to give smooth, precise muscular activation.

Portugal : da 1ª República à Ditadura Militar : estratégias de ensino-aprendizagem em contextos culturais multiétnicos

Relatório da Prática de Ensino Supervisionada, Ensino de História e Geografia no 3.º Ciclo do Ensino Básico e Ensino Secundário, Universidade de Lisboa, 2013

Knowledge Presentation and Reasoning with Loglinear Models

Our approach for knowledge presentation is based on the idea of expert system shell. At first we will build a graph shell of both possible dependencies and possible actions. Then, reasoning by means of Loglinear models, we will activate some nodes and some directed links. In this way a Bayesian network and networks presenting loglinear models are generated.

Authentizität und Lernen - das Fach in der Fachdidaktik. Gesellschaft für Didaktik der Chemie und Physik Jahrestagung in Berlin 2015

Die 42. Jahrestagung der Gesellschaft für Didaktik der Chemie und Physik (GDCP) wurde im September 2015 an der Humboldt-Universität zu Berlin ausgerichtet. Zum Tagungsthema „Authentizität und Lernen - Das Fach in der Fachdidaktik“ diskutierten neben den Plenarreferentinnen und -referenten eine große Anzahl an Tagungsgästen. Der vorliegende Band umfasst die ausgearbeiteten Beiträge der Teilnehmerinnen und Teilnehmer. (DIPF/Orig.)

Entdeckendes Lernen als didaktisches Konzept in einem interdisziplinären Lehr-Lernprogramm zur Statistik

Der Methodenlehre-Baukasten1 ist ein interaktives Lehrprogramm für Methodenlehre und Statistik, das versucht, mithilfe didaktischer Interventionen die Problematik des Phänomens „Statistikangst“, das unter Studierenden der Geistes- und Sozialwissenschaften identifiziert wurde, entgegenzuwirken. Auf dem Konzept des Entdeckenden Lernens basierend, bietet das Lernprogramm den Studierenden die Möglichkeit, anhand realer Forschungsdaten und fachspezifischer Zugänge zu aktuellen wissenschaftlichen Fragestellungen, ihr Verständnis der Statistik und Methodenlehre ausgehend von ihren naiven Konzepten in kleinen kognitiven Schritten hin zu einem wissenschaftlichen Verständnis zu erweitern. Der vorliegende Beitrag stellt zunächst kurz die Struktur des Lernprogramms dar, um im Folgenden auf die didaktischen Konzepte einzugehen, mit denen diesen motivationalen Problemen begegnet wird. Das Beispiel einer Übung konkretisiert die Anwendung des didaktischen Konzepts im Methodenlehre-Baukasten.(DIPF/Orig.)

Beiträge zum Mathematikunterricht 2015. Vorträge auf der 49. Tagung für Didaktik der Mathematik vom 09.02.2015 bis 13.02.2015 in Basel [Band 1]

Die Jahrestagung der Gesellschaft für Didaktik der Mathematik fand im Jahr 2015 zum dritten Mal in der Schweiz statt. [...] Mit rund 300 Vorträgen, 16 moderierten Sektionen, 15 Arbeitskreistreffen und 21 Posterpräsentationen eröffnete sich ein breites Spektrum an Themen und unterschiedlichen Zugangsweisen zur Erforschung von Fragen rund um das Lernen und Lehren von Mathematik. (DIPF/Orig.)

La enseñanza tradicional de las ciencias versus las nuevas tendencias educativas

To think of an educational proposal that teaches how to learn, it is necessary to consider a change not only educationally but also political, social, economical, ecological, cultural, among others, to enable an understanding of reality and in which there can be a construction of knowledge and a crucial role of sciences. But we must not forget that the development of science has been marked by the so-called positivistic science that it is characterized by interpreting phenomena and how this function through theories and laws, where the context and humans have a very poor leading role, if any, to which one can call scientism, which has allowed development even above human needs. However, since the 90s, there is a resurgence of progressive humanism in the educational fields, where there is a search of a revaluation of what it is considered human, which involves a series of epistemological and methodological changes that drives us towards new ways of working. This calls us to reflect on extreme choices to build knowledge, beyond the traditional teaching of the sciences, which are comprehensive, systematic, and flexible and rooted in a humanistic culture. Some models of the new trends are: directed research, discovery learning, inquiry learning and teaching of science and new technologies.

Implementation of an integrated, technology-based, discovery mode assessment item involving an incubation period to enhance learning outcomes for engineering maths students

In this paper we discuss our current efforts to develop and implement an exploratory, discovery mode assessment item into the total learning and assessment profile for a target group of about 100 second level engineering mathematics students. The assessment item under development is composed of 2 parts, namely, a set of "pre-lab" homework problems (which focus on relevant prior mathematical knowledge, concepts and skills), and complementary computing laboratory exercises which are undertaken within a fixed (1 hour) time frame. In particular, the computing exercises exploit the algebraic manipulation and visualisation capabilities of the symbolic algebra package MAPLE, with the aim of promoting understanding of certain mathematical concepts and skills via visual and intuitive reasoning, rather than a formal or rigorous approach. The assessment task we are developing is aimed at providing students with a significant learning experience, in addition to providing feedback on their individual knowledge and skills. To this end, a noteworthy feature of the scheme is that marks awarded for the laboratory work are primarily based on the extent to which reflective, critical thinking is demonstrated, rather than the amount of CBE-style tasks completed by the student within the allowed time. With regard to student learning outcomes, a novel and potentially critical feature of our scheme is that the assessment task is designed to be intimately linked to the overall course content, in that it aims to introduce important concepts and skills (via individual student exploration) which will be revisited somewhat later in the pedagogically more restrictive formal lecture component of the course (typically a large group plenary format). Furthermore, the time delay involved, or "incubation period", is also a deliberate design feature: it is intended to allow students the opportunity to undergo potentially important internal re-adjustments in their understanding, before being exposed to lectures on related course content which are invariably delivered in a more condensed, formal and mathematically rigorous manner. In our presentation, we will discuss in more detail our motivation and rationale for trailing such a scheme for the targeted student group. Some of the advantages and disadvantages of our approach (as we perceived them at the initial stages) will also be enumerated. In a companion paper, the theoretical framework for our approach will be more fully elaborated, and measures of student learning outcomes (as obtained from eg. student provided feedback) will be discussed.

Machine learning for transient discovery in Pan-STARRS1 difference imaging

Efficient identification and follow-up of astronomical transients is hindered by the need for humans to manually select promising candidates from data streams that contain many false positives. These artefacts arise in the difference images that are produced by most major ground-based time-domain surveys with large format CCD cameras. This dependence on humans to reject bogus detections is unsustainable for next generation all-sky surveys and significant effort is now being invested to solve the problem computationally. In this paper, we explore a simple machine learning approach to real-bogus classification by constructing a training set from the image data of similar to 32 000 real astrophysical transients and bogus detections from the Pan-STARRS1 Medium Deep Survey. We derive our feature representation from the pixel intensity values of a 20 x 20 pixel stamp around the centre of the candidates. This differs from previous work in that it works directly on the pixels rather than catalogued domain knowledge for feature design or selection. Three machine learning algorithms are trained (artificial neural networks, support vector machines and random forests) and their performances are tested on a held-out subset of 25 per cent of the training data. We find the best results from the random forest classifier and demonstrate that by accepting a false positive rate of 1 per cent, the classifier initially suggests a missed detection rate of around 10 per cent. However, we also find that a combination of bright star variability, nuclear transients and uncertainty in human labelling means that our best estimate of the missed detection rate is approximately 6 per cent.

Discovery-Based Learning - Daniel Rowan

This is one of a series of short case studies describing how academic tutors at the University of Southampton have made use of learning technologies to support their students.