Meeting the challenges of teaching in a different cultural environment – evidence from graduate management schools in Thailand

In this paper we describe the efforts of foreign university teachers in graduate schools in Thailand as they incorporate cultural knowledge into their classroom teaching styles and methodology. Through in-depth semi-structured interviews we have gathered qualitative data on the teachers’ concerns, mindsets and their proposed solutions. We build up our discussion in several stages. We set the scene by discussing the importance of cultural sensitivity in settings where teacher and learners have different cultural backgrounds. We then introduce the concept of cultural intelligence and use this to help us examine the literature on cultural sensitivity in teaching from a new perspective. We then describe the cultural context of teaching in Thailand and offer empirical data from our respondents’ experiences. From our research data we identified five main aspects of Thai culture where teachers felt the need to expand/adapt their existing teaching repertoires. These aspects are: fun/sanuk; hierarchy/kreng jai; authority with a kind heart/jai dee; collectivist group activities; and localized class content. We discuss our findings in relation to cultural adjustments that the teachers sought to make and, in conclusion, link this discussion to our earlier examination of cultural intelligence.     

Personal and Social-Contextual Factors in K–12 Academic Performance: An Integrative Perspective on Student Learning

Our extensive literature review in the fields of educational, social, and cognitive psychology has led us to identify about a dozen variables that demonstrate direct empirical links to academic achievement at the K–12 level. Those variables are grouped into four major categories: student engagement, learning strategies, school climate, and social-familial influences. We then categorize the first two variables as personal factors and the latter two as social-contextual factors. We document empirical findings that have shown particular relationships between the reviewed personal and social-contextual factors and academic achievement, mainly in the areas of reading and mathematics. Based on our conceptualization, we propose an integrated perspective that students’ personal factors in the domains of behavior, affect, attitude, and cognition as well as their social-contextual environment have to work in concert to produce optimal school performance. We conclude with a discussion on educational implications and future research to be addressed.     

Rethinking the classroom science investigation

There is now a significant research literature devoted to reconceptualizing scientific activities, such as modeling, explanation, and argumentation, to realize a vision of science-as-practice in classrooms. As yet, however, not all scientific practices have received equal attention. Planning and Carrying out Investigations is one of the eight scientific practices identified in the Next Generation Science Standards, and there is a long line of research from both psychological and science education traditions that addresses topics about investigation, such as the generation and interpretation of evidence. However, investigation has not been subject to concerted reconceptualization within recent research and instructional design efforts focused on science-as-practice. In this article, we propose a framework that centers the investigation as a key locus for constructing alignments among phenomena, data, and explanatory models and makes visible the work that scientists engage in as they develop and stabilize alignments. We argue that these alignments are currently under-theorized and under-utilized in instructional environments. We explore four opportunities that we argue are both accessible to students from a young age and can support conceptual innovation. These are (a) developing empirical systems, (b) getting a grip on empirical systems, (c) determining, defining and operationalizing data as “evidence,” and (d) making sense of what the results of empirical systems do and do not help us understand.     

Primary grade student reports for teacher evaluation

The improvement of teacher evaluation is an important theme in current public school reform efforts. One change, suggested by a number of researchers, is to gather more lines of evidence or perspectives of teacher performance for decision making. Student views, commonly used in higher education, are advocated as one data source about teacher quality. Although it is clear that students of all ages can provide some perspective on teacher performance, substantial questions remain about using the views of young pupils.The purpose of this study was to empirically examine a sample of student reports of teacher performance from kindergarten through second grade. The analysis used procedures developed for student rating forms in higher education. The objective was to advance understanding and practice about effective teacher evaluation, specifically in the use of pupil report data.     

A taxonomy of emotion and cognition for student reflection: introducing emo-cog

ABSTRACT

Reflective practice can support student learning by enabling praxis: the bridging of the theory of the classroom with the students’ learning experience. Students’ written reflections are the most common mode for practising and documenting reflection. Available typologies for coding the level of student written reflections focus on the cognitive domain. The coding of student reflection data from four locations (Australia, Denmark, Hong Kong and South Korea; n?=?760) revealed that the focus on the cognitive domain could not capture the role and contribution of the affective domain of reflection for learning. This study conceptualises and presents our new two-domain emo-cog taxonomy, together with empirical evidence to substantiate a new way of thinking about reflection for learning. Emo-cog identifies multiple levels of affective responses along with traditional cognitive reflections. Emotions are found to make a significant contribution to student reflections. Learning is clearly a matter of head and heart.     

Artificial intelligence and multimodal data in the service of human decision-making: A case study in debate tutoring

The question: “What is an appropriate role for AI?” is the subject of much discussion and interest. Arguments about whether AI should be a human replacing technology or a human assisting technology frequently take centre stage. Education is no exception when it comes to questions about the role that AI should play, and as with many other professional areas, the exact role of AI in education is not easy to predict. Here, we argue that one potential role for AI in education is to provide opportunities for human intelligence augmentation, with AI supporting us in decision-making processes, rather than replacing us through automation. To provide empirical evidence to support our argument, we present a case study in the context of debate tutoring, in which we use prediction and classification models to increase the transparency of the intuitive decision-making processes of expert tutors for advanced reflections and feedback. Furthermore, we compare the accuracy of unimodal and multimodal classification models of expert human tutors' decisions about the social and emotional aspects of tutoring while evaluating trainees. Our results show that multimodal data leads to more accurate classification models in the context we studied.     

Conceptions of giftedness and expertise put to the empirical test

Recent handbooks of giftedness or expertise propose a plethora of conceptions on the development of excellent performance but, to our knowledge, there are no comparative studies that provide empirical evidence of their validity to guide researchers and practitioners in their adoption of a particular conception. This study sought to close that gap by conducting an empirical comparison of the major approaches to giftedness and expertise currently in use: the IQ model, the performance model, the moderator model, and the systemic model. The four models were tested in a longitudinal study with a sample of N = 350 German students attending university preparatory schools; 25% of the sample had been assigned to special classes for the gifted. The construct and predictive validity of the four models were tested by means of structural equation modeling. Theoretical considerations along with our results indicated a differentiation among the models whereby some could only predict while others could also explain the emergence of excellent performance and thereby yield valuable information for the design of interventions. The empirical comparison of the approaches showed that they were unequally suited for the two challenges. For prediction purposes, the performance approach proved best while, for explanations, the moderator and systemic approaches were the most promising candidates. Even so, the latter did demonstrate conceptual and/or methodological problems. The IQ approach was superseded by the other approaches on both prediction and explanation. Implications and limitations of the findings are discussed.     

Developing Model‐Based Reasoning

Key elements of the structure and function of models in mathematics and science are identified. These elements are used as a basis for discussing the development of model‐based reasoning. A microgenetic study examines the beginnings of model‐based reasoning in a pair of fourth‐ and fifth‐grade children who solved several problems about chance and probability. Results are reported in the form of a cognitive model of children's problem‐solving performance. The cognitive model explains a transition in children's reasoning from tacit reliance on empirical regularity to a form of model‐based reasoning. Several factors fostering change in children's thinking are identified, including the role of notations, peer interaction, and teacher assistance. We suggest that model‐based reasoning is a slowly‐developing capability that emerges only with proper contextual and social support and that future study should be carried out in classrooms, where these forms of assistance can also be part of the object of study.

Model‐based reasoning is a significant intellectual milestone because it bridges the worlds of personal, intuitive knowledge, on the one hand, and mathematical‐scientific theory, on the other. However, across disciplines, consensus is still forming about what model‐based reasoning comprises, and there is little knowledge about its ontogenetic origins or how it develops. We consider analogy as the core of modeling, because in model‐based reasoning a system in one domain is used to understand a system in another. To understand how models come to play a role in reasoning, it is important to initiate study of their origins. Accordingly, we report a microgenetic study examining the beginnings of model‐based reasoning in a pair of young children solving problems about chance and probability. In this study we are engaged in the enterprise of modeling the development of modeling. That is, we report our results in the form of a cognitive model of children's problem‐solving performance that explains a transition in reasoning from a tacit reliance on empirical regularity to a form of model‐based reasoning. It is important to note the two distinct meanings for the term model used in this article. The first describes how children come to understand and appropriate a system of reasoning exemplified in practices of modeling. The second describes a research tool, a model of human reasoning—specifically, how children in this study began to use models of probability to reason about uncertain events. In this report, we use the terms model or model‐based reasoning to refer to the former interpretation, whereas references to a cognitive model denote the simulation of children's thinking—in this case, implemented as a computer program.

Before describing the empirical work, we first identify some key elements of the structure and function of models. Next, these elements of modeling are used as the basis for generating some conjectures about the development of model‐based reasoning. We describe a task that we used as a window to understanding progression in student reasoning toward reliance on models as tools for thought. We present our rationale for developing cognitive models of student performance and explain some choices concerning the implementation of the cognitive model reported here. Finally, we turn to the children's performance on chance and probability tasks and explain how that performance illuminates both what children do not understand about models and the kinds of relevant knowledge that they are acquiring.     

The mediation of teaching and learning processes through identity artefacts. A Vygotskian perspective

The aim of this paper is to address the teaching and learning processes in schools from a Vygotskian perspective based on the notion of identity artefacts (IAs) which, for our purposes, consist of documents created by the learners about themselves, in which they try to capture all the things that make sense and are meaningful to them and which, subsequently, can be used by teachers to work on curricular and pedagogical content. We conceptualise the notion of the identity artefact from the broader notions of mediation and cultural artefacts. We also provide a critical analysis of some examples of IAs.     

Turning around failing organizations: Insights for educational leaders

Purpose In this article, we review the literature from the organizational sciences to develop a grounded narrative of turnaround in education. Approach The approach is a review of literature. We employ an integrated process to unpack and make sense of the turnaround literature from the organizational sciences. We rely on strategies appropriate for document analysis, and borrow analytic strategies (e.g., memoing, coding) employed with interview data. Findings We examine seven defining themes that flow from our review of empirical and theoretical work on organizational recovery in firms, non-educational public agencies, and not-for-profit organizations: (1) not all failing schools are worth saving; (2) focus on leadership; (3) act quickly; (4) diagnose first; (5) emphasize efficiency moves; (6) create a sense of hope; and (7) backward map from the customer and focus on core activities linked to valued outcomes. Implications We posit that the literature on turning around failing organizations in sectors outside of education provides blueprints for recovery activity in failing schools. The implications for turnaround leadership are particularly strong. Originality This is the first systematic effort to mine research in the corporate, not-for-profit, and public sectors to develop insights for turning around failing schools.     

The motivational paradox of feedback: teacher and student perceptions

The notion that future performance can be affected by information about previous performance is often expressed in terms of ‘closing the gap’. Feedback has long been recognised as a mechanism through which teaching and learning may be influenced. The current wave of support in the United Kingdom for assessment for learning echoes these sentiments. This paper examines the feedback strategies employed by two experienced literacy practitioners in England. Using data gathered from field observations, interviews and documentary sources, the paper presents evidence of espoused practice associated with feedback, demonstrating that whilst teachers may claim that they make effective use of some feedback strategies to support pupils’ learning and motivation, that this is not supported by empirical data. The paper also identifies that whilst some teachers aim to mark every piece of pupils’ written work for perceived motivational benefits; such a strategy can undermine pupils’ intrinsic motivation and lead to a culture of over-dependency, whereby the locus of control with regard to feedback lies solely with the teacher. The paper concludes by exploring some possible implications for practice with regard to the provision of written feedback in particular.     

Der Zusammenhang von Schulleitungshandeln,Unterrichtsgestaltung und Lernerfolg

Indicators and instruments for determining and measuring school quality within inspection systems are usually based on frameworks for inspection. These frameworks rely heavily upon school and teacher effectiveness research. Thus, a central assumption is that the effectiveness and improvement-oriented school conditions, as measured within an inspection, are related to student achievement. It is unclear if this assumption really holds true, as empirical evidence is still lacking. This study uses data from a random sampling of schools (n = 37) and teachers (n = 1663) and the achievement data from students (n = 23,943) to validate the interpretations and uses of school inspection results regarding the factor school leadership. The study follows Kane’s argument-based approach for validation. Results reveal that principals of schools with recurrent high student achievement very often demonstrate instructional leadership. It is evident that these principals are also leading in a fundamentally different way from principals in schools with lower achievement in that they lead with the specific school context in mind. The study demonstrates that it is possible to make inferences from scores provided by school inspections and to generalize from them. However, this generalizability does not extend to making extrapolations or decisions based on these scores. The analyses make it clear that providing feedback solely on the strengths and weakness of a school is insufficient when it comes to stimulating school improvement through inspection.     

What can evidence-use in practice learn from evidence-use in policy?

Abstract

Background: This paper approaches evidence-informed practice from the perspective of evidence-informed policy-making. Using the findings of a recent study of evidence-use by educational policy-makers to raise questions about evidence-use by educational practitioners, it seeks to explore what such a study might tell us about how to understand and improve evidence-use by educational practitioners.

Purpose: The paper aims, therefore, to identify potential connections, shared insights and common issues between evidence-use in policy and evidence-use in practice. It does this by focusing on two specific areas: the nature of the evidence (i.e. what evidence is used) and the nature of the use (i.e. how evidence is used). The paper outlines what was found about each of these aspects of evidence-use in policy, and then considers what questions and issues these findings might raise for evidence-use in educational practice.

Sample: The empirical study on which this paper is based was an in-depth study of the use of evidence within educational policy development in Australia. It focused on the development of three specific education policies within one Australian state education department and involved interviews with 25 policy-makers who were actively involved in the development of these policies.

Design and methods: The policy-based study involved the following data collection processes: (i) in-depth semi-structured interviews with 25 policy-makers who were involved in the development of the selected policies; (ii) documentary analysis of policy documents, background research reports and other relevant papers relating to the selected policies; (iii) unstructured observation (where possible) of meetings and events connected with the development of the selected policies; and (iv) feedback from 40 wider policy staff who took part in a verification workshop to discuss the project’s emerging findings.

Findings: Drawing on the findings from the original policy study, two areas of potential connection to evidence-use in practice are explored. First, in relation to ‘varieties of evidence and uses’, the negotiation of diverse evidence types and the potential for using evidence in multiple and varied ways appear to be features of evidence-use that are common to educational policy-makers as well as educational practitioners. Secondly, in relation to ‘narrowness of evidence sources’, there is potential for both policy-makers and practitioners to use a narrow (rather than broad) selection of evidence, due to a tendency to work with certain evidence types as a starting point (e.g. performance data) and a tendency to draw on certain evidence sources more frequently (e.g. well-known, familiar research sources).

Conclusions: This paper emphasises: (i) the need for more integrated (or joined-up) understandings of evidence-use across contexts of practice and contexts of policy; (ii) the importance of continued efforts to understand and represent evidence-use more effectively within educational practices; and (iii) the value of paying careful attention to the quality and qualities of evidence-use within and across the different settings of educational practice and policy.     

Inclusion vs. Fairness

A policy of inclusion may, in certain circumstances, be justified but inclusion is not an inherently moral principle. On occasion, the practice of inclusion may clearly offend against the principles of fairness. It is crucially important to distinguish between empirical arguments for inclusion and would-be moral arguments. That having been done, it is not clear that there are in general any compelling empirical arguments for a widespread policy of inclusion, and it is tolerably clear that inclusion is not morally incumbent upon us.     

Long‐term effects of a psycholinguistic treatment for dyslexia

Short and long‐term effects of a treatment for dyslexia are evaluated. The treatment is based on psycholinguistic theory and assumes that dyslexia is due to poor lexico‐phonological processing of words. The treatment is computer‐based and focuses on learning to recognise and to make use of the phonological and morphological structure of Dutch words. The results of the treatment were clear improvements in reading words, reading text and spelling. Effect sizes of standardised treatment gains were large (Cohen's d>0.80 for all variables). Following the treatment, participants attained an average level of text‐reading and spelling. The attained level of reading words and reading text was found to be stable over a four‐year follow‐up period. Spelling showed a slight decline one year after the treatment, but remained stable thereafter. ¹ 1. A preliminary report of the data was presented at the World congress on dyslexia, September 1997, Thessaloniki, Greece.     

Beyond Motivation: Exploring Mathematical Modeling as A Context for Deepening Students' Understandings of Curricular Mathematics

Views of mathematical modeling in empirical, expository, and curricular references typically capture a relationship between real-world phenomena and mathematical ideas from the perspective that competence in mathematical modeling is a clear goal of the mathematics curriculum. However, we work within a curricular context in which mathematical modeling is treated more as a venue for learning other mathematics than as an instructional goal in its own right. From this perspective, we are compelled to ask how learning of mathematics beyond modeling may occur as students generate and validate mathematical models. We consider a diagrammatic model of mathematical modeling as a process that allows us to identify how mathematical understandings may develop or surface while learners engage in modeling tasks. Through examples from prospective teachers' mathematical modeling work, we illustrate how our diagrammatic model serves as a tool to unpack the intricacies of students’ mathematical experience while engaging in modeling tasks.     

The Impact of Vertical Scaling Decisions on Growth Interpretations

Most growth models implicitly assume that test scores have been vertically scaled. What may not be widely appreciated are the different choices that must be made when creating a vertical score scale. In this paper empirical patterns of growth in student achievement are compared as a function of different approaches to creating a vertical scale. Longitudinal item‐level data from a standardized reading test are analyzed for two cohorts of students between Grades 3 and 6 and Grades 4 and 7 for the entire state of Colorado from 2003 to 2006. Eight different vertical scales were established on the basis of choices made for three key variables: Item Response Theory modeling approach, linking approach, and ability estimation approach. It is shown that interpretations of empirical growth patterns appear to depend upon the extent to which a vertical scale has been effectively “stretched” or “compressed” by the psychometric decisions made to establish it. While all of the vertical scales considered show patterns of decelerating growth across grade levels, there is little evidence of scale shrinkage.     

Empirical Research on Performance Improvement

Renewed interest in research on performance improvement provides an ideal opportunity to examine how much empirical work is actually published and to identify the focus of research in the field. This paper describes a study conducted to examine the empirical research on performance improvement. The study involved a content analysis of articles published in PIQ from 1997 through 2000. Results indicated that empirical research accounted for about one‐third of all articles published in PIQ. A detailed analysis of the empirical research studies published in the journal is provided.     

The Empirical Attitude, Material Practice and Design Activities

This article is an argument about something that is both important and severely underemphasized in most current science curricula. The empirical attitude, fundamental to science since Galileo, is a habit of mind that motivates an active search for feedback on our ideas from the material world. Although more simple views of science manifest the empirical attitude through relation of theories to data, we describe more recent philosophical scholarship that characterizes the relation of theories to data through phenomena (regularities in nature’s behavior that can be identified and characterized through data). This view highlights the centrality of material practice, in which scientists design data collection events to inform phenomena. Thus manifestation of the empirical attitude in science is characterized as a design endeavor that involves considerably sophisticated coordination among theories, phenomena, data, and data collection events. If we want students to learn how to participate in such work, curricula should break down these complex processes into more basic components at least at the outset. Our recommendation is to begin with design activities that can focus on the empirical attitude initially without the complex coordination with phenomena and data. We present an example of such an activity and share results that suggest design activities can target the empirical attitude and be built upon in curricula to gradually include coordination with phenomena and theories.