With the outbreak of the pandemic, general and music education shifted completely to remote learning as the only possible form. The research looks into didactic approaches using digital technology adopted by active teachers and students in the Slovenian music school in asynchronous distance learning. On a sample of 9 active teachers and 16 students, the research study examined 31 interactive learning materials in order to identify innovative didactic approaches using digital tools which were applied to achieve (...) learning objectives within musical activities of the Music Theory and Solfeggio. Based on qualitative-quantitative approach, the research showed a low presence of didactic approaches using digital tools. Even though the results show a higher level of use of digital technology among students, the research focused much more on the presence of e-learning materials as well as predominantly traditional teaching approaches, similar to the classical type of classroom teaching. Opće i glazbeno obrazovanje u situaciji pandemije u potpunosti je prešlo na model učenja na daljinu. Istraživanjem se željelo ustanoviti koje su didaktičke pristupe primjenjivali učitelji i učenici u slovenskim glazbenim školama tijekom asinkronog učenja na daljinu. Na uzorku od 9 aktivnih učitelja i 16 učenika analiziran je 31 interaktivni nastavni materijal kako bi se odredili inovativni didaktički pristupi u korištenju digitalne tehnologije s ciljem ostvarenja ishoda učenja na nastavi Glazbene teorije i Solfeggia. Primjenom kvalitativnih i kvantitativnih metoda došlo se do rezultata koji ukazuju na nisku zastupljenost didaktičkih pristupa koji koriste digitalne tehnologije. Iako su rezultati pokazali visoku učestalost korištenja digitalne tehnologije među učenicima, istaknuta je i prisutnost materijala za e-učenje te tradicionalnih nastavnih pristupa, poput onih korištenih u klasičnom tipu učioničke nastave. (shrink)

Material evidence: learning from archaeological practice / Alison Wylie and Robert Chapman -- Part I. Fieldwork and recording conventions -- Repeating the unrepeatable experiment / Richard Bradley -- Experimental archaeology at the cross roads: a contribution to interpretation or evidence of xeroxing / Martin Bell -- Proportional representation: multiple voices in archaeological interpretation at çatalhöyük / Shahina Farid -- Integrating database design and use into recording methodologies / Michael J. Rains -- The tyranny of typologies: evidential reasoning in romano-egyptian (...) domestic archaeology / Anna Lucille Boozer -- Part II. Cross-field trade: archaeological applications of external expertise and technologies -- The archaeological bazaar: scientific methods for sale? or: putting the "arch" back into archaeometry / A. M. Pollard and P. Bray -- Radiocarbon dating and archaeology: history, progress and present status / Sturt W. Manning -- Using evidence from natural sciences in archaeology / David Killick -- Working the digital: some thoughts from landscape archaeology / Marcos Llobera -- Crafting knowledge with (digital) visual media in archaeology / Sara Perry -- Part III. Multiple working hypotheses, strategies of elimination, and triangulation -- Uncertain on principle: combining lines of archaeological evidence to create chronologies / Alex Bayliss and Alasdair Whittle -- Lessons from modelling neolithic farming practice: methods of elimination / Amy Bogaard -- Evidence, archaeology and law: an initial exploration / Roger M. Thomas -- Law and archaeology: modified wigmorean analysis / Terence Anderson and William Twining -- Traditional knowledge, archaeological evidence, and other ways of knowing / George Nicholas and Nola Markey -- Part IV. Broader perspectives: material culture as object and evidence -- Evidence of what? on the possibilities of archaeological interpretation / Gavin Lucas -- Meeting pasts halfway: a consideration of the ontology of material evidence in archaeology / Andrew Meirion Jones -- Matter and facts: material culture and the history of science / Simon Werrett. (shrink)

What is the relation between material hermeneutics, bodies, perception and materials? In this article, I shall argue cultural learning processes tie them together. Three aspects of learning can be identified in cultural learning processes. First, all learning is tied to cultural practices. Second, all learning in cultural practice entangle humans’ ability to recognize a material world conceptually, and finally the boundaries of objects, the object we perceive, are set by shifting material-conceptual entanglements. All these (...) aspects are important for material hermeneutics in a technoculture. Postphenomenology has expanded the connection between hermeneutics and phenomenology by focusing on studies of how perception, bodies, materials, the sensual realm and hermeneutics are entwined when we perceive the world through technologies. Following Don Ihde, hermeneutics expands beyond interpretation of texts in the humanities. We can interpret materials as for instance animal bones to make new sense of the Bible. New technologies have expanded material hermeneutics, when we can ‘look’ into bodies and ‘perceive’ below surfaces. Interpretation via such tools in a technoculture, both limit and extend our hermeneutic horizons in the humanities as well as in the natural sciences. Furthermore, from the perspective of cultural learning processes, material hermeneutics in the human and natural sciences depend on more than mediating instruments. Material hermeneutics also involve the material cultural environments of scientific apparatuses and the scientists’ processes of learning in cultural practice. This changes the focus from relations in postphenomenology to processes of relations. (shrink)

Ma is a curriculum. The Japanese concept of ma refers to the interval between two markers. In a dialectic exploration, the spaces between--private/public, teacher/student, old/new, self/other, among others are probed in ways that contribute to the significant research in teaching and learning that has been undertaken in the last decades.

The paper adopts an inter-theoretical socio-cultural and -material perspective on the relationship between human + machine learning to propose a new way to investigate the human + machine assistive assemblages emerging in professional work (e.g. medicine, architecture, design and engineering). Its starting point is Hutchins’s (1995a) concept of ‘distributed cognition’ and his argument that his concept of ‘cultural ecosystems’ constitutes a unit of analysis to investigate collective human + machine working and learning (Hutchins, Philos Psychol 27:39–49, 2013). It (...) argues that: (i) the former offers a way to reveal the cultural constitution of and enactment of human + machine cognition and, in the process, the limitations of the computational and connectionist assumptions about learning that underpin, respectively, good old-fashioned AI and deep learning; and (2) the latter offers a way to identify, when amplified with insights from Socio-Materialism and Cultural-Historical Activity Theory, how ML is further rearranging and reorganising the distributed basis of cognition in assistive assemblages. The paper concludes by outlining a set of conjectures researchers that could use to guide their investigations into the ongoing design and deployment of HL + ML assemblages and challenges associated with the interaction between HL + ML. (shrink)

In his recent paper Hatherley discusses four reasons given to support mandatory disclosure of the use of machine learning technologies in healthcare, and provides counters to each of these reasons. While I agree with Hatherley’s conclusion that such disclosures should not be mandatory (at least not in an upfront fashion), I raise some problems with his counters to the materiality argument. Finally, I raise another potential problem that exists in a democratic society: that even if Hatherley’s (and other authors (...) who share his conclusions) arguments are sound, in a democratic society the simple fact that most people might wish for such disclosures to be made might be an enough compelling reason to make such disclosures mandatory. (shrink)

In Japan during the 1980s, there was an interesting debate about how to teach the area of a parallelogram effectively to primary school children. Yutaka Saeki criticized the standard method, which relies on a cut-and-paste procedure. He argued that the standard method inevitably failed to convince children because it does not provide any cogent reason for them to accept that the formula ‘base x height’ is indeed true. Saeki proposed his own method using a bundle of paper. This method, however (...) convincing at first glance, was totally dismissed by Akira Nakagaki based on his orthodox scientific methodology. There emerged a lively debate between the two. By means of a reconstruction of this debate, this paper will show how the materiality of a thing can scaffold the process of gaining understanding of the concept of geometrical space. Although Saeki and Nakagaki were both unaware of the fact, the debate between them shows clearly that the convincing points of Saeki’s method rely on its material basis. The materiality of a thing can serve as a common basis, in which acquaintance in the context of everyday life is transgressed to the mathematical context. With this transgressive structure entailed in the materiality of a thing, children can be led to understand the spatial logic of the parallelogram, while they themselves make their own reasoning and judgement based on the context of their everyday lives. (shrink)

The general aim of this project is to fundamentally re-think the design of teaching materials in view of what is now known about cognitive deficits and about what Howard Gardner has termed ‘multiple intelligences’. The applicant has implemented this strategy in two distinct areas, the first involving the writing of an English language programme for Chinese speakers, the second involving the construction of specialized equipment for teaching elementary logic to blind students. The next phase (for which funding is sought) (...) is to test the effectiveness of the logic device, because in theory – the one to be tested – materials the design of which is informed by the above rationale will provide a richer learning experience for non-impaired users. (shrink)

초등 도덕과 수업이 뭔가 의미 있고 재미있도록 하기 위해서는 초등학생들의 도덕성 함양을 위한 효과적인 발문과 교수ㆍ학습 활동의 구안 및 이에 적절한 교수ㆍ학습 자료를 어떻게 제시할 것인가의 문제를 해결하지 않으면 안 될 것이다. 본 논문은 바로 이러한 문제의식에서 출발하여 먼저 초등 도덕과 수업에서 효과적인 질문과 교수ㆍ학습 자료의 개발을 위해 고려해야 할 점들을 생각해 보고, 영역이론에 근거를 두고 “영역에 적합한 교수ㆍ학습 자료 개발과 이와 관련된 효과적인 질문의 예시”를 원리적으로 살펴보았고, 이를 적용하여 “책임 덕목을 활용하여 초등 도덕과 교수ㆍ학습 방법”을 어떻게 구안하여 활용할 것인가에 (...) 대해 논의를 하였다. (shrink)

Although databases have been well-defined and thoroughly discussed in the computer science literature, the actual users of databases often have varying definitions and expectations of this essential computational infrastructure. Systems administrators and computer science textbooks may expect databases to be instantiated in a small number of technologies, but there are numerous examples of databases in non-conventional or unexpected technologies, such as spreadsheets or other assemblages of files linked through code. Consequently, we ask: How do the materialities of non-conventional databases differ (...) from or align with the materialities of conventional relational systems? What properties of the database do the creators of these artifacts invoke in their rhetoric describing these systems—or in the data models underlying these digital objects? To answer these questions, we conducted a close analysis of four non-conventional scientific databases. By examining the materialities of information representation in each case, we show how scholarly communication regimes shape database materialities—and how information organization paradigms shape scholarly communication. These cases show abandonment of certain constraints of relational database construction alongside maintenance of some key relational data organization strategies. We discuss the implications that these relational data paradigms have for data use, preservation, and sharing, and discuss the need to support a plurality of data practices and paradigms. (shrink)

Describing how the study of artifacts is greatly enhanced by an understanding of the history of museums, Ken Arnold remarks that there is “an implicit faith in the power of objects to tell, or at least ask, historians things that the written word alone cannot” (1999, p. 145). Rather than remaining mute objects or passive accessories to textual descriptions, artifacts (and the museums that house them) are tangible incarnations of the culture from which they emerged, providing unique information on the (...) attitudes and behaviors of the past. In practice, studying and learning from artifacts can sometimes pose methodological problems, as a text-oriented historian may have no idea of how to “read” an object in order to reveal its secrets of the past. Historians and philosophers are trained almost exclusively to work with written and oral documents, limiting their analysis by neglecting such a valuable group of sources. However, as outlined in a special issue of Studies in the History and Philosophy of Science (2007, vol. 38, no. 2), it is apparent that a new historiographical tide has swept over scholars, encouraging new studies and methodologies for working with artifacts, objects, and images. (shrink)

If rituals persist in part because of their memory-taxing attributes, from whence do they arise? I suggest that magical practices form the core of rituals, and that many such practices derive from learned pseudo-causal associations. Spurious associations are likely to be acquired during problem-solving under conditions of ambiguity and danger, and are often a consequence of imitative social learning. (Published Online February 8 2007).

According to the concept of desirable difficulties, introducing difficulties in learning may sacrifice short-term performance in order to benefit long-term retention of learning. We describe three types of desirable difficulty effects: testing, generation, and varied conditions of practice. The empirical literature indicates that desirable difficulty effects are not always obtained and we suggest that cognitive load theory may be used to explain many of these contradictory results. Many failures to obtain desirable difficulty effects may occur under conditions where (...) working memory is already stressed due to the use of high element interactivity information. Under such conditions, the introduction of additional difficulties may be undesirable rather than desirable. Empirical evidence from diverse experiments is used to support this hypothesis. (shrink)

In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" process, one (...) that lies at the very heart of the adaptive behavioral repertoire of every complex organism. The author's goals are to outline the essential features of implicit learning that have emerged from the many studies that have been carried out in a variety of experimental laboratories over the past several decades; to present the various alternative perspectives on this issue that have been proposed by other researchers and to try to accommodate these views with his own; to structure the literature so that it can be seen in the context of standard heuristics of evolutionary biology; to present the material within a functionalist approach and to try to show why the experimental data should be seen as entailing particular epistemological perspectives; and to present implicit processing as encompassing a general and ubiquitous set of operations that have wide currency and several possible applications. Chapter 1 begins with the core problem under consideration in this book, a characterization of "implicit learning" as it has come to be used in the literature. Reber puts this seemingly specialized topic into a general framework and suggests a theoretical model based on standard heuristics of evolutionary biology. In his account, Reber weaves a capsule history of interest in and work on the cognitive unconscious. Chapter 2 turns to a detailed overview of the experimental work on the acquisition of implicit knowledge, which currently is of great interest. Chapter 3 develops the evolutionary model within which one can see learning and cognition as richly intertwining issues and not as two distinct fields with one dominating the other. Finally, Chapter 4 explores a variety of entailments and speculations concerning implicit cognitive processes and their general role in the larger scope of human performance. (shrink)

Some business schools have integrated business ethics issues into their core functional courses rather than simply offering a separate ethics course. To accommodate such a strategy, functional faculty members usually teach ethical issues, a task for which they are rarely trained. However, learning materials are available: some core course textbooks provide additional coverage of ethics, and case studies (and accompanying teaching notes for instructors) are also available which cover ethical issues.This paper reports on an analysis of these (...) class='Hi'>materials. We find that a sample of the leading textbooks provides only very superficial coverage of ethical issues. Cases provide a wide range of issues suitable for class discussion, but their teaching notes in many cases provide little guidance for instructors unfamiliar with teaching ethics. Thus there remains a need for teaching resources for business faculty new to teaching ethics. (shrink)

Summary The positions of 129 14 to 19?year?old students on two fundamental cognitive styles dimensions (Wholist?Analytic and Verbal?Imagery) were assessed. They then received, by random allocation, one of three versions of a computer?presented instruction package on home hot water systems. The versions differed in terms of their structure (large versus small step), advance organiser (absent or present), verbal emphasis (high versus low), and diagram type (abstract versus pictorial). Version 1 had large step, no organiser, high verbal content, and abstract diagram. (...) Version 2 had small step, no organiser, low verbal content, and pictorial diagram. Version 3 was identical to Version 2, except that an organiser in the form of an elaborated introduction was given in which all five topics were introduced and each section began with an overview and ended with a summary. There was a significant interaction between version and cognitive style in their effect on recall. The results were discussed in terms of their implications for instruction. (shrink)

In this new volume in the Oxford Psychology Series, the author presents a highly readable account of the cognitive unconscious, focusing in particular on the problem of implicit learning. Implicit learning is defined as the acquisition of knowledge that takes place independently of the conscious attempts to learn and largely in the absence of explicit knowledge about what was acquired. One of the core assumptions of this argument is that implicit learning is a fundamental, "root" process, one (...) that lies at the very heart of the adaptive behavioral repertoire of every complex organism. The author's goals are to outline the essential features of implicit learning that have emerged from the many studies that have been carried out in a variety of experimental laboratories over the past several decades; to present the various alternative perspectives on this issue that have been proposed by other researchers and to try to accommodate these views with his own; to structure the literature so that it can be seen in the context of standard heuristics of evolutionary biology; to present the material within a functionalist approach and to try to show why the experimental data should be seen as entailing particular epistemological perspectives; and to present implicit processing as encompassing a general and ubiquitous set of operations that have wide currency and several possible applications. Chapter 1 begins with the core problem under consideration in this book, a characterization of "implicit learning" as it has come to be used in the literature. Reber puts this seemingly specialized topic into a general framework and suggests a theoretical model based on standard heuristics of evolutionary biology. In his account, Reber weaves a capsule history of interest in and work on the cognitive unconscious. Chapter 2 turns to a detailed overview of the experimental work on the acquisition of implicit knowledge, which currently is of great interest. Chapter 3 develops the evolutionary model within which one can see learning and cognition as richly intertwining issues and not as two distinct fields with one dominating the other. Finally, Chapter 4 explores a variety of entailments and speculations concerning implicit cognitive processes and their general role in the larger scope of human performance. (shrink)

Recent research has begun to explore individual differences in statistical learning, and how those differences may be related to other cognitive abilities, particularly their effects on language learning. In this research, we explored a different type of relationship between language learning and statistical learning: the possibility that learning a new language may also influence statistical learning by changing the regularities to which learners are sensitive. We tested two groups of participants, Mandarin Learners and Naïve (...) Controls, at two time points, 6 months apart. At each time point, participants performed two different statistical learning tasks: an artificial tonal language statistical learning task and a visual statistical learning task. Only the Mandarin-learning group showed significant improvement on the linguistic task, whereas both groups improved equally on the visual task. These results support the view that there are multiple influences on statistical learning. Domain-relevant experiences may affect the regularities that learners can discover when presented with novel stimuli. (shrink)

Agnostic analyses of unique video material from a Mother and Baby Unit were carried out to investigate the usefulness of such analyses to the unit. The goal was to improve outcomes: the health of mothers and their babies. The method was to implement a learning machine that becomes more useful over time and over task. A feasible set-up is here described, with the purpose of producing intelligible and useful results to healthcare professionals at the unit by means of a (...) vision processing pipeline, grouped together with multi-modal capabilities of handling annotations and audio. Algorithmic bias turned out to be an obstacle that could only partly be handled by modern pipelines for automated feature analysis. The professional use of complex quantitative scoring for various mental health-related assessments further complicated the automation of laborious tasks. Activities during the MBU stay had previously been shown to decrease psychiatric symptoms across diagnostic groups. The implementation and first set of experiments on a learning machine for the unit produced the first steps toward explaining why this is so, in turn enabling decision support to staff about what to do more and what to do less of. (shrink)

This paper examines the learning and performance of the air traffic control (ATC) work domain. This domain was chosen because it embodies features that represent future work for many other industries (e.g., information service provision mediated by information technologies; a high reliance on communication skills and collaborative work; increasing complexity and intensity of the work activity), within an organisational context undergoing considerable change. In ATC work learning occurs formally as part of accredited training and informally, as part of (...) everyday practice. In this way learning and experience of ATC work shapes – and is shaped by – the way work is organised, which includes the divisions of labour and technological artefacts. ATC work is experienced temporally, complexly, through affect and socially. Controllers learn to use a variety of socio-material resources which include embodiment and artefacts to undertake the work. In so doing the article demonstrates the ways in which learning and performance is not just a cognitive undertaking, but one that draws on embodiment to achieve what here is called “interdependent sentience”. This involves using all their senses to gain an awareness of problems as they emerge to collectively accomplish a seamless air traffic flow in a complex interdependent socio-technical system. (shrink)

Musical knowledge is largely implicit. It is acquired without awareness of its complex rules, through interaction with a large number of samples during musical enculturation. Whereas several studies explored implicit learning of mostly abstract and less ecologically valid features of Western music, very little work has been done with respect to ecologically valid stimuli as well as non-Western music. The present study investigated implicit learning of modal melodic features in North Indian classical music in a realistic and ecologically (...) valid way. It employed a cross-grammar design, using melodic materials from two modes that use the same scale. Findings indicated that Western participants unfamiliar with Indian music incidentally learned to identify distinctive features of each mode. Confidence ratings suggest that participants' performance was consistently correlated with confidence, indicating that they became aware of whether they were right in their responses; that is, they possessed explicit judgment knowledge. Altogether our findings show incidental learning in a realistic ecologically valid context during only a very short exposure, they provide evidence that incidental learning constitutes a powerful mechanism that plays a fundamental role in musical acquisition. (shrink)

Multimedia learning research addresses the question of how to design instructional material effectively. Signaling and adding graphics are typical instructional means that might support constructing a mental model, particularly when learning abstract content from multiple representations. Although signals can help to select relevant aspects of the learning content, additional graphics could help to visualize mentally the subject matter. Learners’ prior knowledge is an important factor for the effectiveness of both types of support: signals and added graphics. Therefore, (...) we conducted an experimental study situated in a university course of computer science with N = 124 participants. In our 2 × 2 factorial design, we investigated the effects of signals and illustrating graphics on learning outcomes and their potential interplay. Based on our regression analysis, we revealed prior knowledge as a significant moderator. Although learners with low levels of prior knowledge can profit from all types of help but still gain rather weak learning outcomes, learners with medium levels of prior knowledge profit from the synergy of both helps. With higher levels of prior knowledge, signals were particularly hampering. To improve the understanding of these supportive or hampering effects, a more fine-grained analysis of these processes and motivational effects is necessary. (shrink)

How to reduce pupils’ burden and improve learning efficiency? Research shows that non-intelligence factors and learning strategies are the key factors in the effective learning process, and external intervention can play a greater role in these two aspects. The purpose of this study is to explore the effects of different learning strategies on learning motivation under the presentation of augmented reality multimedia or traditional text learning. Sixty third-grade pupils in Hebei Province were selected, and (...) 2 × 3 between-subjects design was adopted. The dependent variable is learning motivation, which includes three dimensions: surface motivation, deep motivation and achievement motivation. The results showed that Learning strategies had a significant impact on deep motivation. The deep motivation aroused by retrieval practicing strategies was significantly higher than that aroused by restudying strategies and self-generated drawing strategies. The interaction between learning materials and learning strategies was marginally significant. When learning with AR materials, the achievement motivation of pupils in the restudying strategy group was higher than that in the retrieval practicing strategy group. Retrieval practicing strategies have positive significance in cultivating deep motivation. The combination of different learning modes and learning strategies will impact achievement motivation. (shrink)

Will robots ever be able to learn like humans? To answer that question, one first needs to ask: what is learning? Hubert and Stuart Dreyfus had a point when they claimed that computers and robots would never be able to learn like humans because human learning, after an initial phase of rule-based learning, is uncertain, context sensitive and intuitive under contract F49620-C-0063 with the University of California) Berkeley, February 1980.. Washington, DC: Storming Media. https://www.stormingmedia.us/15/1554/A155480.html. Accessed 10 Oct (...) 2017, 1980). I would add that learning also builds on prior learning, and that from the outset, human learning is a socio-cultural materially grounded collective epistemology. This posthuman acknowledgement shifts the focus from the individual learner to learning within collective phenomena. Dreyfus and Dreyfus do not seem to emphasise the essentially social and cultural nature of the human condition. Learning theory, new materialism and postphenomenology have emphasised in different ways the materially based socio-cultural nature of human learning. They thereby point towards a ‘posthuman’ learning that is far from the machine-like or enhanced creature envisioned by singularists. Until robots are essentially social and ground their epistemologies in socio-cultural materiality, I suggest that human-like AI is not possible. (shrink)