Learning beyond the surface: engaging the cognitive,affective and spiritual dimensions within the curriculum

In Australia the separation of mind, body and spirit by secular society has had a significant influence on educational trends. An outcomes‐based approach to education, with an emphasis on cognitive learning, has meant that the affective and spiritual dimensions of students' lives have often been understated. Classroom programs in religious education have been affected by this educational climate where the pendulum has swung in favour of the achievement of cognitive learning outcomes. The cognitive dimension of learning is an integral part of the learning dynamic. However the roles of thinking, feeling and reflecting/intuiting are complementary within this process. Religious education is one curriculum area that can effectively address the interplay between the cognitive, affective and spiritual dimensions of learning. This paper outlines a model explored with pre‐service teachers at a publicly funded Catholic university. This model addresses the complementarity of the cognitive, affective and spiritual dimensions of learning. Examples of pre‐service teachers' work are drawn upon to demonstrate the interplay of these dimensions and to show how in practice this might be achieved within school curricula.     

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.     

Task‐ and self‐related pathways to deep learning: The mediating role of achievement goals,classroom attentiveness,and group participation

Background The expectancy‐value and achievement goal theories are arguably the two most dominant theories of achievement motivation in the contemporary literature. However, very few studies have examined how the constructs derived from both theories are related to deep learning. Moreover, although there is evidence demonstrating the links between achievement goals and deep learning, little research has examined the mediating processes involved. Aims The aims of this research were to: (a) investigate the role of task‐ and self‐related beliefs (task value and self‐efficacy) as well as achievement goals in predicting deep learning in mathematics and (b) examine how classroom attentiveness and group participation mediated the relations between achievement goals and deep learning. Sample The sample comprised 1,476 Grade‐9 students from 39 schools in Singapore. Methods Students' self‐efficacy, task value, achievement goals, classroom attentiveness, group participation, and deep learning in mathematics were assessed by a self‐reported questionnaire administered on‐line. Structural equation modelling was performed to test the hypothesized model linking these variables. Results and conclusions Task value was predictive of task‐related achievement goals whereas self‐efficacy was predictive of task‐approach, performance‐approach, and performance‐avoidance goals. Achievement goals were found to fully mediate the relations between task value and self‐efficacy on the one hand, and classroom attentiveness, group participation, and deep learning on the other. Classroom attentiveness and group participation partially mediated the relations between achievement goal adoption and deep learning. The findings suggest that (a) task‐ and self‐related pathways are two possible routes through which students could be motivated to learn and (b) like task‐approach goals, performance‐approach goals could lead to adaptive processes and outcomes.     

The Contribution of Professor Ninian Smart to Religious Education

Religious Experience Reconsidered was premised on the idea that experience is a site of contested meaning and value for subjects (and scholars). Although the concept of specialness has drawn considerable attention, my goal in writing the book was to update efforts to use attribution theory to bridge between religious studies and the psychology of religion. I intended the focus on micro-social processes to complement analysis at the macro-social level. The need for a broader, more generic second order term, such as specialness, emerged in the context of working out an attributional approach and can and should be extended more broadly. While anything can be set apart as special and an analysis of the politics of deeming is essential, we can still ask if there is empirical evidence to suggest that humans are more likely to set some things apart than others within or across cultures. When we take experience as a site for study, we do not have to limit ourselves to describing the range of views held by our subjects, but can also legitimately seek to explain experience in terms that make sense to us as researchers. The breaking of taboos against explaining experience in naturalistic terms will only have apocalyptic consequences if we assume a special/ordinary binary; viewed on a continuum, we can still find special meaning and value in experiences that are not protected by taboos.     

The AAR Teaching Series

The first seven volumes of the American Academy of Religion's “Teaching Religious Studies” series provide informative glimpses of how teachers in very different contexts understand the intellectual decisions, strategies, and actions that constitute their craft. Although individual volumes have different formats, the dominant image of good teaching that emerges is that it is founded on deep and sophisticated knowledge of the particular subject matter. Beyond that, many essays provide instructive anatomies of particular syllabi, moments in the classroom, or other aspects of teaching. Much of the material in the essays comes from reflective practitioners and there is relatively little sustained engagement with the contemporary literature on teaching and learning. Nonetheless, virtually any teacher can find in these volumes stimulating reflections on the intersections of substantive research and pedagogy in a variety of classroom contexts.     

Metaphors We Teach By: The Language of “Learning Outcomes”

This article employs George Lakoff and Mark Johnson's work on metaphor (1980) to examine the current use of the term “learning outcomes” within higher education. It argues that “learning outcomes” is an ontological metaphor (education becomes focused on results that one can understand and measure) that resonates with contemporary academic capitalism. Yet because metaphors highlight some things and conceal others, thinking about teaching and disciplines using “learning outcomes” hides other dimensions of academic capitalism and obscures unquantifiable and highly complex aspects of education. Finally, the article explores ways in which an emphasis upon outcomes has consequences for the field of Religious Studies.     

The sequential view: From rapidly fading stimulus traces to the organization of memory and the abstract concept of number

The development of the sequential approach to instrumental learning from about 1958 to the present is described. The sequential model began as an attempt to explain a particular class of neglected partial reward phenomena, those in which performance in acquisition and extinction is influenced by the particular sequence in which rewarded and nonrewarded trials occur in acquisition, and it was subsequently applied to a variety of other phenomena. Over time, the sequential model grew, sometimes through the replacement of older assumptions by novel ones, as when retrieved memories replaced stimulus traces, and sometimes simply through the addition of novel assumptions, such as that animals are capable of remembering retrospectively one, two, three or more prior nonrewarded outcomes—the N-length assumption. The most recent assumption added to the sequential model is that on a given trial the animal may utilize its memory of prior reward outcomes to anticipate both the current reward outcome and one or more subsequent reward outcomes. One way to view the sequential model is to say that it is a specific theory in various degrees of competition with other specific theories. Several examples of this are provided. Another way to view the sequential model, a more important way in my opinion, is to see it as a representative of a general theoretical approach, intertrial theory, which differs in fundamental respects from another much more generally utilized theoretical approach, intra-trial theory. I suggest that there is a substantial body of data that can be explained by inter-trial mechanisms but not by intratrial mechanisms. The future may well reveal that the inter-trial mechanisms have greater explanatory potential than the currently more popular intratrial mechanisms.     

Applying person-centred principles to teaching large classes

An analysis was carried out of final-year undergraduate responses to innovations in a seminar class of 54 students to determine whether positive learning outcomes in large classes can be made possible by increasing the range of work in which students are involved. Relatively straightforward adjustments to approach and style produced positive learning outcomes, enabling students to acquire enthusiastically and effectively not only subject knowledge, but also a range of transferable skills giving them better preparation for the world of work. While course management of this kind requires a redirection of the time and effort of the lecturer, and therefore raises issues of professional development needs, it is not subject-specific and should be readily transferable.     

Reciprocal heuristics: A discussion of the relationship of the study of learned behavior in laboratory and field

At the turn of the century, the initiators of laboratory study of animal learning advocated two very different approaches to the subject matter. Willard Small favored the investigation of learning in ecological settings appropriate to individual species. E. L. Thorndike treated the process of association formation in animals as a general one, best studied in situations distant from those to which subject species were adapted. The latter view dominated laboratory study of animal learning for 80 years. The consequent absence of ecological content from laboratory investigations of animal learning, together with recent expansion in knowledge of the behavior of free-living animals, has created opportunities for ecologically sound investigations of animal learning of the type first advocated by Small. Studies of taste-aversion learning, although introducing evolutionary issues into the study of animal learning, do not exemplify such an approach. Integration of field and laboratory studies of behavioral plasticity in animals requires a change in the methods used to select phenomena for analysis. Such integration does not often lead to identification of the behavioral processes underlying the development of particular behaviors observed in nature. Rather, its results are an increase in the variety of learning processes investigated in laboratory settings and enhanced understanding of the behavioral capacities of subject species.     

The support of autonomy and the control of behavior

In this article we suggest that events and contexts relevant to the initiation and regulation of intentional behavior can function either to support autonomy (i.e., to promote choice) or to control behavior (i.e., to pressure one toward specific outcomes). Research herein reviewed indicates that this distinction is relevant to specific external events and to general interpersonal contexts as well as to specific internal events and to general personality orientations. That is, the distinction is relevant whether one's analysis focuses on social psychological variables or on personality variables. The research review details those contextual and person factors that tend to promote autonomy and those that tend to control. Furthermore, it shows that autonomy support has generally been associated with more intrinsic motivation, greater interest, less pressure and tension, more creativity, more cognitive flexibility, better conceptual learning, a more positive emotional tone, higher self-esteem, more trust, greater persistence of behavior change, and better physical and psychological health than has control. Also, these results have converged across different assessment procedures, different research methods, and different subject populations. On the basis of these results, we present an organismic perspective in which we argue that the regulation of intentional behavior varies along a continuum from autonomous (i.e., self-determined) to controlled. The relation of this organismic perspective to historical developments in empirical psychology is discussed, with a particular emphasis on its implications for the study of social psychology and personality.     

中学生成就目标定向与学习策略、学业成绩的关系研究

本研究采取问卷法,选取武汉市283名初一和高二学生为被试,考察了中学生成就目标定向与学习策略、学业成绩的关系。结果表明:(1)掌握目标与深加工、元认知策略以及浅表策略三者都存在显著相关,其中与浅表加工策略相关的显著性水平略低,成绩接近目标与三种学习策略都在呈非常显著相关,而成绩回避目标只与浅表策略显著相关;(2)掌握目标和成绩接近目标有助于学业成绩,成绩回避目标不利于取得良好成绩;(3)与初一年级相比,高二年级中成绩接近目标和掌握目标显著下降,采取深加工和元认知策略的水平也下降;初一和高二年级中,男生比女生更多采取掌握目标和元认知策略;(4)多元目标比单一目标的学生更多地使用深加工和元认知策略,但多元目标者并不必然比单一目标者成绩好。     

Drawing a line between the religious and the secular: the cases of religious education in Sweden and India

Abstract

Religion as a school subject – Religious Education (RE) – is handled differently in various national contexts. This article discusses two different systems of managing (or avoiding) RE: those used in non-denominational Swedish and Indian schools. The article focuses particularly on what is allowed in the classroom with regards to religion. Both countries are secular, but where is the line drawn between the secular and the religious? Allowing the two contexts to meet reveals the particularities of each. The impact of Protestant Christianity, specifically Lutheranism, is evident in Swedish RE: religion is to be defined through beliefs and words, and religious actions should be excluded from classrooms. The Swedish context highlights ‘knowledge of’ religions, but avoids religious action. In India, there is no explicit RE, but Indian education does include learning from religion as well as ‘doing religion.’ The Indian approach is very inclusive, to the point of emphasising, as teachers put it, a common core of all religions. Both systems of RE offer particular opportunities and face certain difficulties in dealing with the contemporary globalised world.     

Generality of the summation effect in human causal learning

Considerable research has examined the contrasting predictions of the elemental and configural association theories proposed by Rescorla and Wagner (1972) and Pearce (1987), respectively. One simple method to distinguish between these approaches is the summation test, in which the associative strength attributed to a novel compound of two separately trained cues is examined. Under common assumptions, the configural view predicts that the strength of the compound will approximate to the average strength of its components, whereas the elemental approach predicts that the strength of the compound will be greater than the strength of either component. Different studies have produced mixed outcomes. In studies of human causal learning, Collins and Shanks (2006) suggested that the observation of summation is encouraged by training, in which different stimuli are associated with different submaximal outcomes, and by testing, in which the alternative outcomes can be scaled. The reported experiments further pursued this reasoning. In Experiment 1, summation was more substantial when the participants were trained with outcomes identified as submaximal than when trained with simple categorical (presence/absence) outcomes. Experiments 2 and 3 demonstrated that summation can also be obtained with categorical outcomes during training, if the participants are encouraged by instruction or the character of training to rate the separately trained components with submaximal ratings. The results are interpreted in terms of apparent performance constraints in evaluations of the contrasting theoretical predictions concerning summation.     

Ethnography as Pedagogy: Learning and Teaching in a Religion Department Internship Class

Internships and other experiential education courses in Religious Studies departments particularly benefit from careful pedagogical preparation. In addition to the usual components of conceptual content and skills, these courses require knowledge about and understanding of human communication and interaction and organizational function. To be successfully collaborative in the classroom and with Community Partners for learning and service, students and teachers need tools for participant observation, integration of data and response, and reflection. This article proposes and discusses using 10 strategies of ethnography as a pedagogical frame. Developed in an internship class, these ten tools are demonstrated through teacher discussion and reflection and students’ written work. Specific connections to the field of Religious Studies are highlighted. The article is written in the hopes of stimulating additional conversations on how experiential learning and teaching, specifically the use of ethnography, can be effectively and appropriately used in Religious Studies courses.     

Losing hope: mental health and religious service non-attendance in Australia

Religious beliefs and practices are related to mental health. Many individuals report a religious affiliation, but do not have specific religious beliefs or practices such as attending religious services. These non-attendees are often assumed to resemble the non-religious, but are poorly studied. This study explored the demographic characteristics and mental health outcomes associated with being a non-attendee using data from a nationally representative Australian sample. Non-attendees were more likely to be non-Christian than attendees at religious services. They had worse mental health than both non-religious individuals and attendees, especially compared to the non-religious. Whether non-attendance is a result of or cause of poor mental health outcomes is not clear and deserves further investigation. Non-attendees clearly differed in our sample from both non-religious individuals and attendees. Our results do not support the hypothesis that individuals who report a religious affiliation, but are not actively religious, are similar to non-religious individuals.     

情感代理能否提高多媒体学习的效果?

近年来,情感代理如何影响学习受到了研究者们的高度重视。情感代理是可以通过面部表情、声音、肢体动作和言语信息等影响学习者情感体验的教学代理。以往研究主要关注两种类型的情感代理：表达型情感代理和移情型情感代理。表达型情感代理是仅通过自身的情绪表达(如：使用微笑的面部表情和热情的声音)以影响学习者情绪体验的代理。移情型情感代理则是能根据学习者的学习表现或情绪状态给予情感反馈(如;点头、鼓励和共情)的代理,其目的是为了调节学习者的情绪、激励其继续努力。虽然不同的研究者对情感代理的具体操作有所不同,但无论哪种类型的情感代理均是为了增加学习者的积极情绪,提高内部动机,最终促进学习。关于情感代理的潜在作用,研究者基于不同的理论观点给出了不同的解释。情绪感染理论认为一个人的情绪状态容易受到另一个人情绪表达的影响,因此界面代理的情绪会直接影响学习者的情绪和动机。情绪反应理论认为如果教师的言语和非言语线索诱发了积极的情绪,学习者就会产生趋近学习的行为(例如,制定相应的学习计划)。多媒体学习认知情感理论强调了学习过程中情感和动机的重要性。基于多媒体学习认知情感理论,情感代理能唤起学习者的积极情绪,增加学习动机,进而提高学习成绩。而认知负荷理论和干扰理论却认为情感代理丰富的面部表情和手势动作可能会增加学习者的外部认知负荷,吸引学习者的注意力,减少对关键信息的注意,因此干扰学习效果。在上述理论的指导下,研究者们对情感代理的效果进行了探究,结果发现,情感代理可以有效地唤起学习者的积极情绪(d_积极情绪= 0.45),提高学习动机(d_内部动机= 0.52)。但不一定能影响认知负荷（d_{内部认知负荷} = -0.01;d_{外部认知负荷} = 0.09;d_{相关认知负荷} = 0.08）,并且在学习效果上的作用也比较微弱(d_保持 = 0.18;d_理解 = 0.32;d_迁移 = 0.14;d_联合 = 0.32)。情感代理在学习效果上的作用不稳健的原因可能是受到了潜在调节因素的影响。例如,学习者的个体特征（如,工作记忆能力和年级水平）、情感代理的类型、任务特征和测验时间等。总之,尽管目前关于情感代理的研究结果存在不一致,但整体而言,在积极情感代理条件下,学习者更加快乐,更有动力。因此,在教育实践中,教学设计者可以考虑为学习者呈现一个积极的教学代理以帮助他们更加快乐地学习。未来关于情感代理的研究需要继续关注情感代理的操纵和评定方法;探究影响情感代理效果的边界条件;考察情感代理影响学习背后的神经机制;提高情感代理研究的生态效度等。     

Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images

Alzheimer’s disease, the most common form of dementia is a neurodegenerative brain order that has currently no cure for it. Hence, early diagnosis of such disease using computer-aided systems is a subject of great importance and extensive research amongst researchers. Nowadays, deep learning or particularly convolutional neural network (CNN) is getting more attention due to its state-of-the-art performances in variety of computer vision tasks such as visual object classification, detection and segmentation. Several recent studies, that have used brain MRI scans and deep learning have shown promising results for diagnosis of Alzheimer’s disease. However, most common issue with deep learning architectures such as CNN is that they require large amount of data for training. In this paper, a mathematical model P_FS_EC_TL based on transfer learning is used in which a CNN architecture, VGG-16 trained on ImageNet dataset is used as a feature extractor for the classification task. Experimentation is performed on data collected from Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. The accuracy of the 3-way classification using the described method is 95.73% for the validation set.     

Implementation of training programs in self-regulated learning strategies in Moodle format: results of a experience in higher education

This paper tests the efficacy of an intervention program in virtual format intended to train studying and self-regulation strategies in university students. The aim of this intervention is to promote a series of strategies which allow students to manage their learning processes in a more proficient and autonomous way. The program has been developed in Moodle format and hosted by the Virtual Campus of the University of Oviedo. The present study had a semi-experimental design, included an experimental group (n=167) and a control one (n=206), and used pretest and posttest measures (self-regulated learning strategies' declarative knowledge, self-regulated learning macro-strategy planning-execution-assessment, self-regulated learning strategies on text, surface and deep learning approaches, and academic achievement). Data suggest that the students enrolled in the training program, comparing with students in the control group, showed a significant improvement in their declarative knowledge, general and on text use of learning strategies, increased their deep approach to learning, decreased their use of a surface approach and, in what concerns to academic achievement, statistically significant differences have been found in favour of the experimental group.     

Eliciting explanations: Constraints on when self-explanation aids learning

Generating explanations for oneself in an attempt to make sense of new information (i.e., self-explanation) is often a powerful learning technique. Despite its general effectiveness, in a growing number of studies, prompting for self-explanation improved some aspects of learning, but reduced learning of other aspects. Drawing on this recent research, as well as on research comparing self-explanation under different conditions, we propose four constraints on the effectiveness of self-explanation. First, self-explanation promotes attention to particular types of information, so it is better suited to promote particular learning outcomes in particular types of domains, such as transfer in domains guided by general principles or heuristics. Second, self-explaining a variety of types of information can improve learning, but explaining one’s own solution methods or choices may reduce learning under certain conditions. Third, explanation prompts focus effort on particular aspects of the to-be-learned material, potentially drawing effort away from other important information. Explanation prompts must be carefully designed to align with target learning outcomes. Fourth, prompted self-explanation often promotes learning better than unguided studying, but alternative instructional techniques may be more effective under some conditions. Attention to these constraints should optimize the effectiveness of self-explanation as an instructional technique in future research and practice.     

Relevance of non-human animal studies to the understanding of human sexuality

There are several reasons for studying sexual behavior in animals other than the human. Prominent among these is probably the use of sexual behavior as a model system for analyzing hormone actions on the brain. In this kind of study, lordosis behavior in the female rat has frequently been used as the behavioral end-point. Recently, the mouse has become a popular subject because of the availability of strains lacking estrogen or progesterone receptors. Animal sexual behavior is also studied for its own sake by biologists, by agricultural scientists and by those interested in the management of wildlife resources. Finally, there are some researchers interested in human sexual behavior who prefer to approach their problems through studies in non-human subjects, as they thereby gain access to techniques of experimentation impossible in human subjects. This is particularly important when the neurobiological basis of sexual behavior is the subject of study. Two striking similarities between humans and other mammals are the hormone dependency of sexual motivation and the fundamentally bisexual organization of the nervous system. In addition, animal studies have revealed how learning with sexual reinforcement can be an important determinant of sexual behavior. The role of learning has been largely ignored in human studies, and this has led to many misconceptions. Paramount among these is the idea that sexual behavior is associated with reproduction.